Cooperative Atmosphere-Surface Exchange Study 1999: A Nocturnal Boundary Layer Experiment
 

CASES-99

Overview of Experimental Design

July 21, 1998
 

Edited by: Bill Blumen1, Dave Fritts2 and Greg Poulos2

1 University of Colorado, Boulder, Program in Atmospheric and Oceanic Sciences (PAOS)
2 Colorado Research Associates (CoRA), Boulder, Colorado

Contributing Authors


 


Ray Arritt, Ben Balsley, Bob Banta, Dan Cooper, Rich Coulter, Joan Cuxart, Henk deBruin, Rod Frehlich, Nimal Gamage, Reginald Hill, Mike Jensen, Jerry Klazura, Peggy LeMone, Don Lenschow, Larry Mahrt, Torben Mikkelsen, Chin-Hoh Moeng, Jim Moore, Andreas Muschinski, Carmen Nappo, Steve Oncley, Holly Peterson, Antti Piironen, John Prueger, Russ Qualls, Zbignew Sorbjan, Boba Stankov, Jeilun Sun, Marv Wesely



Cover Figure: This panel shows 4 m resolution data collected with the U.S. Army's 2.9 MHz FM-CW radar during routine and continuous data collection at the White Sands Missile Range in New Mexico. The top panel exhibits a height-time cross-section of the clear-air refractive index turbulence structure parameter, Cn2, on 12 September 1995 between 0101 and 0232 UTC, with the height ranging from ground to 2800 m AGL. It shows a boundary layer in transition from daytime to nighttime conditions with a wave like structure at ~2 km height, broken patches underneath, and the onset of the stable boundary layer at the right-hand side that is indicated mostly by the increase in insect population at night. The bottom panel exhibits a height-time cross-section of Cn2 for 12 December 1995 between 0545 and 0716 UTC and the height ranging from the ground to 2000 m AGL. These observations provide evidence of the non-stationary and inhomogeneous nature of small-scale turbulence within the stable boundary layers. Layered structure of the nocturnal boundary layer (NBL) is seen, with a persisting breaking wave or shear instability at ~600 m AGL throughout the entire period. Starting at 0650 UTC another thin breaking event appears at the 700 m AGL level. Both events exhibited crest-to-trough displacement of less than 150 m and oscillations of ~5 min period. Some NBLs, such as shown by Eaton et al. (1995), show much larger amplitude gravity waves and Kelvin-Helmholtz billows. The vertical lines occur when a large target (e.g., a bird) flies through or close to the main beam. The point targets are believed to be insects and birds.

Cover Figure


 

Another FM-CW Radar figure - From PHELIX




1. Project Description .................................................................................................................................................1

2. Scientific Goals .......................................................................................................................................................1

       2.1 Background  ....................................................................................................................................................1

       2.2 Core Science Plan  ..........................................................................................................................................4

3. Field Program  .......................................................................................................................................................10

       3.1 Overview  ......................................................................................................................................................10

       3.2 Existing and Likely Instrumentation Plan  ....................................................................................................10

       3.3 Other Possible Instrumentation  ...................................................................................................................13

       3.4 Measurement Strategy  .................................................................................................................................15

4. Numerical Modeling Plan  .....................................................................................................................................18

       4.1 Mesoscale Modeling  .....................................................................................................................................19

       4.2 Large Eddy Simulation  .................................................................................................................................20

       4.3 Direct Numerical Simulation  ........................................................................................................................21

       4.4 Stable Layer and SGS Parameterizations  .....................................................................................................23

5. Data Management  .................................................................................................................................................25

6. Summary  ...............................................................................................................................................................26

7. References  ............................................................................................................................................................27

Appendix A. List of Participants and Interested Parties  ............................................................................................32

Appendix B.  List of Expressed Research Goals  ........................................................................................................33


1. Project Description

   The purpose of the Cooperative Atmosphere-Surface Exchange Study (CASES) site is to `provide a long-term facility for scientists to study the mesoscale processes of meteorology, hydrology, climate, chemistry, ecology and their complex linkages, and to serve as a focal point to provide field experience for students of the natural sciences' (Pflaum, 1995). The first CASES field program, CASES-97, had a variety of goals within the disciplines of meteorology, ecology, chemistry and hydrology. The CASES program proposed for Autumn 1999 (CASES-99) is somewhat smaller in scope and will focus on exchanges in the soil/biosphere/atmosphere interface, specifically those during stable atmospheric conditions.

   CASES-99 will combine measurements and data analyses with state-of-the-art numerical modeling to investigate 5 areas of scientific interest. The choice of these scientific topics is motivated by both the need to delineate physical processes that characterize the stable boundary layer, which are as yet not clearly understood (see Nappo and Johansson, 1998), and the specific scientific goals of the investigators who are expected to participate in the observational, analysis and numerical modeling activities of CASES-99 (See Appendices A and B). The field program would use the CASES instrumented site within the Walnut River Watershed (WRW, see Figure 1), including the Department of Energy ARM-CART, the Argonne National Laboratory Atmospheric Boundary Layer Experiments (ANL ABLE Department of Energy), and the NOAA Wind Profiler Network in south central Kansas, together with enhanced instrumentation, for one month of extensive measurements during October 1999. More information on the site can be found at the CASES 1997 website at http://www.mmm.ucar.edu/cases/ and from ABLE program information located at http://www.atmos.anl.gov/ABLE. Although the study area is the same as that for CASES-97 as shown in Figure 1, our goals are considerably different. The experimental site is a watershed, but is actually quite flat (relief is approximately 30 meters across 60 km), and is climatologically favored for clear sky and weakly stable to very stable conditions during autumn. Here, `weakly stable' means that turbulence is continuous, Monin-Obukhov theory is valid and 0.25 < Ri < 1.0, whereas `very stable' means that turbulence is intermittent, Monin-Obukhov theory is not valid and generally Ri > 1.0 (Mahrt 1998).

2. Scientific Goals

2.1 Background

   The present state of knowledge about the stable boundary layer is very incomplete, even though this lower few hundred meters can be observed by readily available instrumentation situated at ground level, on towers and aboard aircraft and by remote sensing systems such as radar and Doppler lidar (Neff and King, 1987; Orgill and Schreck, 1985). Mahrt (1998) has made the point that "A critical part of modeling the stably stratified boundary layer is formulating the surface fluxes". Surface fluxes, however, are not adequately described by existing Monin-Obukhov similarity theory, which is more appropriately applied to the weakly stable, neutral, and convective boundary layers (Derbyshire, 1995). The reasons for this failure are many. Foremost is the fact that the stable boundary layer is often characterized by intermittent turbulent bursts that may last from tens of seconds to minutes. These sporadic or episodic events which populate the nocturnal stable boundary layer do not lead to statistically steady state turbulence, the cornerstone of existing theory, and are generated by a variety of sources. Data taken, for example, in the Walker Branch Watershed near Oak Ridge Tennessee during 1987-88 (Nappo, 1991) and in the CASES Walnut River Watershed field site during March 1995 by Blumen and Mahrt (Mahrt, 1998; Mahrt et al., 1998) indicate that a significant fraction of the nighttime vertical fluxes of heat, moisture and momentum occur during such intermittent bursts. Other measurements have shown that intermittent bursts of turbulence and mixing can also occur multiple times on a given night (Coulter, 1990; Weber and Kurzeja,1991). One-dimensional modeling of this intermittent behavior in the  nighttime boundary layer has been reported by Revelle (1993), but the underlying turbulent transfer mechanisms are not yet clearly understood. Quantitative formulations of boundary layer fluxes requires a detailed understanding of the processes responsible for the turbulent burst activity, an numerical simulations of this scope are only now becoming available.


 


Figure 1 (above): A large-scale plan view showing the location of the CASES field site or Walnut River Watershed (hatched) within the Arkansas-Red River Drainage Basin. Figure 2 shows the WRW in detail and Figure 3 shows a preliminary instrument deployment for CASES-99 within the WRW.
 
 



 


Figure 2 (above): The Walnut River Watershed and site of CASES-99 field program (within red [grey if in greyscale]  boundaries). The potential area of focussed instrumentation for CASES-99 is outlined in the small rectangle just to  the right of the Central Site, southeast of Leon, KS along Route 96 (see Figure 3 for details). The filled circles indicate areas of existing, meso-b scale instrumentation to be supplied by ABLE (towers, sodars, wind profilers with  RASS).

   The nonstationarity associated with gravity wave instabilities, overturning Kelvin-Helmholtz (KH) billows, terrain-generated phenomena, surface heterogeneity and heat and radiative flux divergences contributes to the uncertainties and conceptual difficulties encountered in the various attempts to construct a physical basis for events and concomitant vertical transports that occur under statically stable regimes. Most studies to date have not been able to establish the source(s) of intermittent turbulence that is (are) often observed at ground level. This lack of knowledge inhibits the development of reliable surface layer and subgrid-scale turbulence parameterizations of the very stable nighttime boundary layer regime, and numerical modelers have been forced to tolerate these errors to the detriment of simulation accuracy. This problem is discussed in depth, along with measurement strategies, by Wyngaard and Peltier (1996). A few efforts have attempted to identify the source(s) of errors in surface layer parameterizations for stable flows. It is argued by Poulos (1996) that a numerical oscillation created in the stable surface layer parameterization can induce occasionally unrealistic cooling under low wind conditions. The resulting gradient is enhanced by the turbulence parameterization and, in some cases, "runaway" cooling can occur. This undesirable effect is also discussed by Mahrt (1998) to be the result of radiatively driven heat loss that is not sufficiently compensated for by the heat flux calculated in the stable surface layer parameterization.

   The goal of the proposed one month field program is to identify the sources and quantify the physical characteristics of the mixing phenomena that populate the stable boundary layers, using an optimal arrangement of a variety of observational tools. These phenomena include internal gravity waves, Kelvin-Helmholtz billows, inertial oscillations, shallow drainage flows and turbulent bursts that occur intermittently under clear sky and light wind conditions. The program of data analysis and numerical simulations that follow will then focus on establishment of the relative contributions to surface layer heat, moisture and momentum fluxes and flux divergences associated with the presence of these phenomena. The difficulty of making observations of stably stratified atmospheric conditions, including both instrumentation limitations and the spatial and temporal distribution of the sensors themselves is deferred to later sections.

2.2 Core Science Plan

   The specific science goals of the CASES-99 field program and research are to:

    1) provide a time history of internal gravity waves, KH shear instabilities, and turbulence events in the nighttime stable boundary layer, and to evaluate the relative contributions to intermittent heat, moisture and momentum fluxes that can be associated with these phenomena. Sources of turbulence bursts include, but are not restricted to, surface and elevated shear layers and KH instability, internal gravity waves within the stable boundary layer, drainage currents, and surface vortex shedding.

    2) measure heat and momentum fluxes and their divergences accompanying the events contributing to turbulence, transports, and mixing throughout the nocturnal boundary layer, and especially within the surface layer (~ 10 to 20 m), to assess the departures from similarity theory under weakly stable and very stable conditions.

    3) define the relative importance of surface heterogeneity, particularly under very stable light wind conditions, on the initiation of shallow drainage currents (O [10m]), and the horizontal and vertical transports that accompany such boundary undulations.

    4) improve our current understanding of the diffusion, dispersion, meandering and concentration fluctuations of plumes that emanate from ground-based and, possibly, elevated sources, during both clear and cloud-topped nocturnal boundary layer conditions.

    5) acquire data during the transition from a convective to a stable boundary layer regime and vice-versa to compare with existing models of this transition, and to assess the role of this transition period in the initiation of inertial oscillations and the enhancement of low-level jets ~ 100-300 m above the surface.

     a) Instabilities, Waves and Turbulence

    Internal gravity waves and shear instabilities are believed to be common features of nocturnal boundary layer (NBL) flows. (Einaudi and Finnigan, 1981; Finnigan and Einaudi, 1981; Finnigan et al., 1984). Indeed, gravity waves may be generated within the unstable shears of the NBL, as observed in tower measurements at Haswell, Colorado and described by Hooke et al. (1973), or propagate through the NBL from external (distant) sources. Figure 2 of that paper establishes a case for an elevated shear instability source of the wave activity, while Figure 3 provides evidence of a wave-turbulence response. Shear sources of internal gravity waves within a stable boundary layer have likewise been suggested in various theoretical studies (Lalas and Einaudi, 1976; Mastrantonio et al., 1976; Davis and Peltier, 1976; Fritts, 1982, 1984; Chimonas and Grant, 1984), while observations and modeling studies of sheared and stable flows suggest that such wave and instability processes may account for sporadic turbulence bursts and associated mixing and transport (Caughey and Readings, 1975; Kondo et al., 1978, Kunkel and Walters, 1982; Ping et al., 1983; Lenschow et al., 1988; Nappo, 1991; Fritts et al., 1994, 1996a, 1998). Despite their ubiquitous nature, and their influence on surface layer and turbulent fluxes in stably stratified conditions, gravity wave effects are not accounted for in existing surface layer and turbulence parameterizations.

    Unstable shear flows occur under stable NBL conditions for several reasons. Perhaps most prevalent are the shears capping the inversion layer (Thorpe and Guymer, 1977), which arise due to frictional decoupling of the boundary from the quasi-geostrophic flow at greater heights accompanying the transition from an unstable (convective) daytime to a stable nocturnal boundary layer. This allows the development of a super-geostrophic jet at lower levels (e.g., the Great Plains low-level jet, Blackadar, 1957; Zhong et al., 1996) and the occurrence of shear instability, including gravity wave excitation, KH instability, and turbulence generation at these altitudes. Examples of these dynamics include the FM-CW radar measurements by Eaton et al. (1995) using the U.S. Army Dugway radar, which is expected to be available for the CASES-99 field program (see also the cover of this document). The occurrence of turbulence bursts then depends on the evolving shear flow and the tendency for KH instability to occur and trigger a transition to turbulence, as suggested in recent laboratory and modeling studies (Thorpe, 1985; Fritts et al., 1996b; Palmer et al., 1996; Werne and Fritts, 1998).

    Other sources of instability and mixing include strongly sheared surface flows, vortex generation and separation due to surface friction, the interface between drainage flows and the NBL structure above, and the layering of more and less stable layers within the NBL (Gossard et al., 1985), which imply instability at the density interfaces (Fritts and Rastogi, 1985; Simpson, 1997). In these latter cases, mixing and transport accompanying such events will often be initiated at the lowest levels of, or within, the NBL.

    A key goal of the CASES-99 field program will be to define the characteristics and statistics of episodic turbulence bursts due to these various internal gravity wave and shear sources and to quantify their contributions to transport and mixing within the stable nocturnal boundary layer. Knowledge of such instability processes has progressed slowly in the last few decades due to instrumentation and modeling limitations, except as noted above. However, the atmospheric science community is now in a position to merge state-of-the-art observational and numerical capabilities to dramatically advance the understanding of the dynamics, statistics, and consequences of turbulence bursts in the NBL and to describe their influences via more quantitative subgrid-scale and surface layer parameterizations in large-scale models of these flows. Specifically, ground-based and in-situ (see Section 3) instrumentation is now able to define both the large-scale wave and KH (quasi-two-dimensional) and turbulence (three-dimensional) fluxes of momentum and heat experimentally, while recent modeling studies have allowed the evolution of and transport processes accompanying instability dynamics to be assessed for the first time (Werne and Fritts, 1998, see Figure 4).

    Monin-Obukhov similarity theory has been extended to stable conditions by using local turbulence scales (Wyngaard, 1973, 1994; Nieuwstadt, 1984a,b; Lenschow et al., 1988a). The vertical size of the turbulent eddies in the stable boundary layer is restricted and therefore the turbulence is minimally influenced by the surface and the turbulent scaling laws do not depend on the height above the surface. This has been called z-less stratification (Wyngaard, 1973, 1994). The local scaling laws of the temperature and velocity structure constants, CT2 and Cv2, were developed for stable conditions by Wyngaard (1994) and compared with results from data and LES. Wyngaard noted that the scaling for structure constants was robust because these statistics measure the small-scale turbulent processes which have more statistical reliability. Reliable measurements of
CT2 and Cv2 are possible in the nocturnal jet using kite-borne turbulence probes (Balsley et al., 1998) and by FM-CW radar for CT2 only. The central region of the nocturnal jet should be stable and the predictions of these local scaling laws can be tested.

    b) Heat Flux and Flux Divergence in the Surface Layer

    Vertical divergence of the downward heat flux near the surface implies that the observed sensible heat flux at the observational height is smaller than the surface heat flux. This decrease of heat flux with height invalidates Monin-Obukhov similarity theory as a surface layer theory, although local similarity may still be a reasonable approximation (Howell and Sun, 1998). Heat flux divergence under stable conditions is also found in other field experiments (Kondo et al., 1978) including the Kansas experiment (Haugen et al., 1971) and leads to imbalance in the estimated surface energy budget. Although similarity theory may provide relatively accurate surface layer heat fluxes under conditions of weak stability, the relatively large flux divergence that can exist under strongly stable conditions invalidates the assumed relationship between the flux and vertical gradients. In the Kansas experiment, for example, the observations for stable conditions were not included. It may be that the flux divergence is greater near the surface when the turbulence is a top down process, as suspected in the very stable case. This possibility requires investigation. Independent of the dominant sources of turbulence and mixing, quantification of the heat flux and its profile is essential to parameterize the NBL structure and the energy budget in most atmospheric numerical models.

    In the absence of cold air advection, the vertical divergence of the sensible and radiative heat flux must account for the observed, oftentimes large, cooling in stratified boundary layers. The measurements of the vertical divergence of the sensible heat flux must be sufficiently resolved to contend with the decrease of transport scale close to the ground surface. Without high-frequency information, a portion of the flux closer to the ground surface could be eliminated, leading to underestimation of the surface heat flux (Howell and Sun, 1998). An analysis of this possible flux loss is required. High frequency response instruments (approaching 50 Hz) are desirable for measurements within ~ 5 m of the surface and will hopefully be available for CASES-99. Further, a possible approach that may be carried out is the measurement of the carbon dioxide flux, or
another passive tracer flux, to provide a quantitative estimate of the flux divergence. The measurement of the vertical divergence of the radiative flux with existing affordable instrumentation is unreliable. Thus, without high vertical resolution radiative flux divergence measurement capability, the measurement of the vertical structure of temperature and moisture, and the computation the radiative flux from numerical simulation, represents the state-of-art procedure.

    c) Surface Heterogeneity and Drainage Currents

    Topographic slopes provide a breeding ground for cold air drainage, which often emerges on relatively level terrain as a gravity or, equivalently, a density current. Case studies have documented this type of phenomenon with low-resolution sampling from earlier studies, e. g., Fournet (1840), Tower (1903), Newnham (1918), Atmanathan (1931), Defant (1933), Cornfeld (1938), and more recently with high-resolution sampling, e.g., Mahrt and Larsen (1982), Horst and Doran (1986), Gudiksen (1989), Cheung and Little (1990, event 5), Poulos (1996) and Simpson (1997). The surface-based cold dense air is usually restricted to the lowest 100-200 meters above the surface, depending on relief and cooling rate. Recently, Blumen et al. (1998) analyzed data from the MICROFRONTS experiment, carried out in the Walnut River Watershed (which defines the boundaries of the CASES experimental domain, see Figure 1) in March 1995, and documented the presence of a very shallow drainage current that is restricted to a depth of 7 m behind the frontal head. This current appears to have been initiated by a slope associated with a change in elevation of 40 m over a 3 km distance. Shallow topographical undulations of this character are not uncommon even over relatively `level' landscapes, including the Walnut River Watershed within which CASES-99 will be conducted.

    The relative importance of shallow gravity or density currents to turbulent fluxes in the nighttime stable boundary layer is not yet clear. Their presence is usually not observed unless high frequency/multiple level tower measurements, radar, lidar or sodar are available for documentation. Both laboratory and observational studies (Simpson, 1997) indicate that there can be intense mixing associated with the leading edge or head of the current. Further, the wind and temperature structure of these currents is conducive to the formation of waves that may propagate relative to the current (Ralph et al., 1993), or KH billow activity along the elevated interface of the current may often lead to short-lived turbulence bursts. The vertical shear that develops due to the katabatic flow jet may become strong enough to initiate temporary turbulent activity or gravity
waves. Furthermore, this shear may be enhanced by the existence of opposing or cross-current ambient flow which may provide, independently, another instability source at low levels (Fitzjarrald, 1984; Arritt and Pielke, 1986). With the routine occurrence of a southerly low-level jet over the CASES experimental site, such a mechanism will be present and quantifiable.

    d) Plume Dispersion

     The various episodic events that can occur under conditions of strong static stability, together with the enhanced vertical gradients of temperature and wind have implications for plume dispersal and contaminant transport (Pielke et al., 1987). Since it is often difficult to determine a relevant advecting wind field, it is often not possible to predict the detailed course and concentration of plumes that emanate from isolated sources (Moran, 1992). Nevertheless, Poulos and Bossert (1995) showed that simulations of relatively high resolution with a primitive equation mesoscale model are able to capably reproduce the bulk transport of a tracer point release in stable conditions. However, the horizontal dispersion of the plume was insufficient, and unresolved small-scale topographic undulations, such as exist at the CASES field site, caused transport errors. This problem was encountered more severely by Gryning (1997), who showed that the modeled plume from a point release during the Oresund experiment (Gryning, 1985) was not close to the observed plume - not even in the correct direction - despite using observed winds to model the transport. Banta et al. (1996), for example, examined dispersion in complex terrain; material released near the surface tends to stay near the surface, and material released aloft tends to remain aloft, although a small amount of vertical transport via intermittent turbulence allows some upward and downward leakage through an inversion. Thus, measurements of turbulent bursts and the spatial heterogeneity of the flow are essential to understanding dispersion in the stable NBL.

    Tracer releases undertaken during CASES-99 will provide evidence of the stable boundary layer influences on dispersion characteristics under both clear and cloudy conditions. Sulfur hexafluoride and perfluorocarbon tracers will be emitted near the ground from a computer-controlled release system, and concentrations will be measured downwind of the source at a rate of 1 Hz with multiple sensors. Elevated releases, which have seldom been explored, will be completed with use of either a kite system, the 40 m tower, or a tethered balloon, to ascertain the significance of top-down dispersion via intermittent transports to the surface-based measurement array. An important consideration is the effect of convection, generated by radiative cooling at the top of the cloud, on nocturnal dispersion in both the vertical and horizontal directions.

    Under clear, very stable atmospheric conditions, the goal of the dispersion releases is to improve current understanding of diffusion, meander, and concentration fluctuations for ground-based plumes. The evaluation of these releases will have enormous implications for the problem of odor transport from animal confinement facilities and pesticide vapor transport during stable NBL conditions. Concentration data from fast-response tracer analyzers located within 1 km of a source will be used to relate measured relative diffusion coefficients, concentration statistics, travel time, and plume meander to on-site wind data from fast-response anemometers and to evaluate the performance of a meandering plume model. The project will produce a detailed database of plume diffusion, and a more complete understanding of plume behavior on short time scales in the nocturnal boundary layer.

    e) The Transition Periods

    In the history of boundary layer literature, only a very small fraction has been dedicated to understanding the transition from the convective boundary layer (CBL) to NBL (the evening transition) and vice-versa (the morning transition). The focus for CASES-99 is currently predominantly on the evening transition, although instrumentation will be operating continuously and will quantify the morning transition.

    The evening transition can be characterized as follows. Under clear and mostly clear skies, the vertical contraction of the convective boundary layer begins in the late afternoon as the positive surface heat flux weakens in response to the decrease in the Sun's elevation. This transition from a convective to a stable boundary layer has been modeled by, for example, Nieuwstadt and Brost (1986) and Sorbjan (1997), but detailed observations have not, in general, been available for model verifications. Sorbjan's extension of the Nieuwstadt and Brost study considered a gradual, rather than an abrupt, heat flux evolution during the transition period. During this decaying period, turbulent eddies persist even when the heat flux at the surface becomes negative and a low-level surface inversion is becoming established. Large-scale updrafts are able to penetrate the stable layer aloft and entrain air. The observations carried out in conjunction with dispersion of tracers during the transition period will be used to provide data to establish whether or not turbulent eddies persist in the presence of negative heat flux, and to examine the characteristics of dispersion during the transition from convective to stable conditions. Measurements should enable the evaluation of whether near-surface contaminants within the stably stratified NBL can be transported into the residual layer, reducing the near-surface concentration and potential hazard.

    f) Summary

The basic thesis of the presently proposed program of observations, theory and numerical modeling activities is that the statistically homogeneous, in horizontal space and time, turbulence paradigms that guide convective processes in the boundary layer are not appropriate from dusk to dawn under very stable conditions. Intermittent events that are associated with various instability mechanisms and locally produced cold pools of air that develop through surface heterogeneity, provide the dominant phenomena that produce significant fluxes in the nighttime boundary layer. The breakdown of, or even the nonexistence of, parameterizations for atmospheric numerical models is associated with the presence of these intermittent and heterogeneous processes (Mahrt, 1998). A well-coordinated plan of study that must involve concentrated observational efforts is needed to develop the acumen required to devise new paradigms for parameterization of the very stable NBL and surface layer.

3. Field Program

3.1 Overview

    The CASES-99 field program is planned for the entire month of October 1999. This period was chosen for its climatologically high frequency of clear, calm nights and therefore increased likelihood of stable boundary layer development. A review of tower and sodar measurements from ABLE instrumentation within the CASES site for October 1997 showed that approximately 40% of the nights had mostly clear skies and light near-surface winds. The remainder of the nights had partial or complete cloud cover, altering the radiative balance significantly, and would be appropriate for study of the NBL and dispersion (scientific goal #4) under cloudy conditions. On a few nights, windy conditions are likely to prevent the formation of a stable boundary layer. A similar review of data will be undertaken during October 1998, using higher frequency data than cur
rently available from the ongoing operational Argonne National Laboratory ABLE instruments, for preparation purposes.

    The primary source of instrumentation is expected to be that supplied by the National Science Foundation's (NSF) instrument deployment request, administered through the National Center for Atmospheric Research's Atmospheric Technology Division (NCAR ATD). Additional in-situ boundary/surface layer instrumentation provided by CASES-99 investigators (see Tables 1 and 2) would define the meso-b- to microscale boundary layer evolution and structure. Specifically, these instruments will be used to define the evolving temperature, wind, and constituent profiles and the wave and turbulence fluxes of heat and momentum. At the lowest elevation AGL (< 5 m), the CASES-99 community of scientists is advocating and seeking the deployment of instruments with above average frequency response (approaching 50 Hz). Existing data sources in and around the Walnut River Watershed (WRW) field site, such as from the ongoing Argonne Boundary Layer Experiments (ABLE), the National Weather Service (NWS) in Wichita and the Atmospheric Radiation Measurements (ARM) CART site, would provide enhanced observation of meso-a- and meso-b-scale features.These observational resources will be utilized optimally, and combined with modeling studies of mesoscale and small-scale processes to achieve the science goals described in Section 2. The assimilation of both standard and state-of-the-art instrumentation will allow researchers to construct the most comprehensive description of the NBL structure, evolution, and instability to date.

3.2 Existing and Likely Instrumentation Plan

    Table 1 summarizes the instruments currently likely to be deployed during the CASES-99 field program. Using the existing CASES instrumentation provided by ABLE as a framework, the NCAR allocation from the instrument deployment pool will hopefully provide the backbone of CASES-99 instrumentation (the deployment request will not be submitted until December 1998). A placeholder for a variety of instrumentation is on file for CASES-99, however. We currently expect NCAR to deploy the Wyoming King Air, 6 PAM flux stations with microbarographs, one 40 meter tower using the ASTER data management system for 10 Hz frequency response (that will anchor the center of the experimental site), one Integrated Sounding System (ISS) and three CLASS (balloon) systems.
TABLE 1: Probable instrumentation and other data for CASES-99.
Instrument Provider Comments or Capability
Aircraft (4)
Wyoming King Air NCAR Deployment turbulence, radiation in-flight
NOAA LongEZ Nappo, NOAA/ARL - Univ. Tennessee turbulence (to 20Hz, u, v, w; 5 Hz in T)
NOAA Twin Otter Wellman, NOAA turbulence, lowest altitude 150 m
HELIPOD Muschinski, Lenschow, NOAA, NSF, NCAR, Army turbulence to 50 Hz
Archived data
Ceilometer
Data Hub
Energy balance
Hot-wire Anemometers
Instrument pad
Kite
Lidars
Microbarographs
Mini-sodars
Other
Radars
Rain guages
RASS
Scintillometers
Sodars
Sonic anemometers
Soil moisture probes
Soil temperature probes

    Supplemental in-situ measurements of the NBL wind, temperature, and humidity profiles and
of heat, moisture, and momentum fluxes at a number of levels would employ a variety of instru
ment types. Kite profiling technology (or a substitute balloon during very light winds) will allow
nearly continuous measurements of high-resolution mean profiles of temperature, humidity and
winds, in addition to turbulent statistics ( and ) throughout the NBL (permission for kite
operations near CASES have been previously obtained for ~ 1.2-2.3 km AGL). The ARM-CART
site in the Towanda sub-basin (NW corner of the WRW), along with other nearby instruments, is
currently measuring soil temperature and moisture. The soil measurements will provide a rela
tively rare opportunity to initialize soil conditions in our mesoscale models and improve simula
tion of moisture flux heterogeneity. Likely non-tower-based instrumentation includes aircraft-
based winds, temperatures, and turbulence (the Wyoming King Air and possibly the NOAA Long
EZ), lidar winds, and tracer and remotely-sensed water vapor measurements. We will have the
Army's FM-CW radar, now located at Dugway Proving Grounds to provide very high resolution
[O(1 m)] measurements of  and visualization of NBL dynamical phenomena (see cover). The
FM-CW has already obtained clearance for use at the CASES site and will not interfere with the
NWS Wichita WSR-88D radar. The Army will also provide the Turbulent Eddy Profiler (TEP),
currently under final testing at the University of Massachusetts (Mead et al., 1998; Pollard et al.,
1998). The TEP is a radar capable of measuring winds and turbulent quantities in a 3-dimensional
cone from 150 m AGL to 2000 m AGL with 30 m horizontal and vertical resolution.

    ABLE provides three remote sensing sites where vertical profiles of wind and temperature are
sampled by 915-MHz radar wind profilers, Doppler acoustic sounders, and radio acoustic sound
ing systems (RASS). These measurements extend into and through the NBL and will provide both
surface and upper-level conditions. Each site is also instrumented with a surface flux station, and
an eddy correlation flux station is located at the ARM-CART site in the northern portion of the
WRW.

    NOAA/ETL plans to make the following measurement systems available for CASES-99: a
449-MHz wind-profiler, a state-of-the-art high-resolution Doppler sodar, three mobile microbaro
graphs and a high-resolution (~ 30 m range gates) Doppler lidar. In addition NOAA/ETL plans to
rent the helicopter-borne, state-of-the-art turbulence instrument HELIPOD (Muschinski and
Wode 1998) from the University of Hannover, Germany. The 449-MHz wind-profiler is sensitive
to turbulent fluctuations at length scales around 33 cm (the radar's Bragg scale) while the Bragg
scales of a 915-MHz radar and of the FM-CW radar are 16 cm and 5 cm, respectively. Collocated
radar measurements at different wavelengths, in addition to contributing to the main CASES-99
scientific goals, will allow testing of the existing hypotheses on the nature of the dominating radar
scatter/reflection mechanisms. With additional signal processing wind profilers have the potential
to provide automatic high-quality profiles of refractive turbulence (0th spectral moment), mechan
ical turbulence (2nd spectral moment), 5 min horizontal winds, 10 s winds (u, v, w) and tempera
ture for heat and momentum flux estimates. From those high-quality observations, it is also
possible to derive humidity gradient profiles and near-continuous, high vertical resolution
humidity profiles throughout the troposphere (Gossard et al., 1998, Stankov, 1998).

    CASES-99 is also very fortunate to be receiving instrumentation committed by European col
leagues. The Risoe National Laboratory (RNL) will be bringing a laser scintillometer for turbu
lence measurements, a thermocouple chain consisting of 30 units to be placed at high density on a
tower (or multiple towers), three sonic anemometers, and a backscatter lidar. Vaisala Oyj, Finland
will provide a standard ceilometer to study nocturnal boundary layer structure jointly with the
RNL group. The Spanish Meteorological Institute has stated their intention to bring three
microbarographs, a tethersonde and an eddy flux tower.

3.3 Other Possible Instrumentation

    In addition to the likely instrumentation described in the previous section, other instrumenta
tion (see Table 2) may also become available. The Long EZ Aircraft, HELIPOD and multiple
lidars would add significant measuring capability in the nocturnal boundary layer at altitudes not
typically reached and at measurement densities not typically achieved using standard instrumenta
tion. Additional microbarographs are needed to adequately characterize the gravity wave events
and their spatial influence in the CASES-99 domain. The additional tethersondes and towers are
also needed to sample the spatial heterogeneity and propagation of turbulence bursts in the noctur
nal boundary layer.

    The NOAA Long EZ would allow nighttime measurements down to 50 m AGL with full
wind, temperature, humidity and turbulent flux capabilities, and will be available for two weeks or
more if resources are found to cover the cost of its use. In well moonlit conditions, this aircraft
could fly as low as 20 m AGL. Such measurements would complement the Wyoming King Air
measurements, whose minimum altitude is 150 m, by giving improved spatial representation of
events between the King Air top of the NCAR-supplied 40 m tower. Since turbulence events and
gravity waves in the NBL can frequently occur in the 50 - 150 m range (i. e., the cover figure,
Eaton et al., 1995), at times the Long EZ would be a very valuable tool with which to supplement
the lidar(s), balloons, sodars and radars (except for the lidars, these instruments do not have scan
ning capability).

    The in-situ sonde HELIPOD has a fast-responding (pre-averaging sampling rate is 1000 Hz)
and low-noise (a few mK) temperature sensor, a fast and drift-free three-component (a dewpoint
mirror, a humicap and a Lyman-a hygrometer) humidity sensor, and a high-resolution five-hole
probe for 3D wind vector measurements. The resulting pressure, temperature, humidity, and 3D
wind data are provided at a rate of 100 Hz, corresponding to one sample every 40 cm if the HELI
POD is flown with the typical forward velocity of 40 m s-1. Therefore, the HELIPOD's spatial res
olution is close to the radars' Bragg scales, allowing a direct comparison between in-situ
turbulence spectra and radar reflectivity to be made. The HELIPOD is designed to provide reliable
data of turbulent fluxes of momentum, heat and humidity in the stably stratified boundary layer.
Muschinski and Wode (1998) reported on the first in-situ evidence of coexisting sub-meter tem
perature and humidity sheets in the lower free troposphere above the Arctic sea ice using HELI
POD.
 

Table 2: Other possible instrumentation for CASES-99.

3.4 Measurement Strategy

    The measurement strategy for CASES-99, at this relatively early stage for final instrument
placement, is still evolving. However, the CASES-99 community has agreed upon some bounds
within which an instrument array can be constructed. A sketch of this preliminary meso-g deploy
ment is shown in Figure 3. It was agreed to focus the majority of the instrumentation within an
area approximately 5 x 5 km, relatively small compared to the CASES-97 deployment throughout
the Walnut River Watershed. This approach makes it more certain that measurements will be cor
relative yet still able to capture a portion of NBL heterogeneity. Despite our uncertainty about the
full spectrum of instrumentation that will be available for the CASES-99 field program, it is nev
ertheless possible to define clear measurement capabilities and synergisms with the instrumenta
tion already committed, probable, and anticipated as a result of our NSF facilities request.

    Sensitivity to boundary layer structure, evolution, and heterogeneity on the meso-b-scale will
be provided on ~ 15-min time scales by ANL ABLE Wind Profilers with RASS (3), mini-sodars
(3), and 10-m towers (3) spaced at ~ 50 km and spanning the CASES Central Site and the likely
location of CASES-99. These measurements will be supplemented at the meso-a-scale by addi
tional measurements using the Wind Profiler Network (an additional 6 systems) and aircraft (the
Wyoming King Air and possibly the Long EZ) to define spatial variability of the boundary layer
and the embedded smaller-scale dynamics. Together with the more comprehensive measurements
to be performed at the CASES-99 core instrument cluster (including additional instrumentation
described below), these systems will define the meso-b-scale variations in boundary-layer struc
ture relevant to CASES-99 Science Goals 1, 3, and 5. Specifically, these measurements will define
the spatial and temporal variability of the evolving surface- and boundary-layer flows, the spatial
extent of shear flows capping the stable boundary layer, and the structure and evolution of large-
scale drainage currents under various forcing conditions.

    More focussed measurements are anticipated in a region ~3 to 5 km on a side surrounding the
CASES-99 core instrument cluster (see Figure 3). Instrumentation here will include microbaro
graphs (~16), 10-m tower and/or flux stations (~20) yielding wind, temperature, and relative
humidity measurements, CLASS balloon sounding systems (3) providing ~hourly high-resolution
profiling of the entire boundary layer, and aircraft measurements along smaller baselines to
increase temporal sensitivity to small-scale dynamics around the CASES-99 core instrument clus
ter. Instrumentation that may be contributed by other participants includes additional microbaro
graphs, balloons, tethersondes, and meteorological and surface flux towers. This instrument
cluster will address CASES-99 Science Goals 1, 2, 3, and 5 on the micro-g-scale by providing
sensitivity to 1) the structure and dynamical variability of the evolving boundary layer, 2) the
presence of gravity wave perturbations of the boundary layer on scales of a few to tens of km, 3)
the spatial and temporal variability of surface-layer structure and its fluxes of heat, moisture, and
momentum, and 4) the horizontal extent and spatial structure of the processes accounting for
instability, mixing, and transports.

Figure 3 (above): A preliminary sketch of meso-g- and microscale instrumentation array for CASES-99. Mb = Microbarographs (3 mobile), T = standard tower or flux station, Te = tethersonde, Li = lidar, K = Kite, T40 = 40 meter tower,  S = sodar, G = G:ASS sounding system, R = rawinsonde, F = FM-CW radar, TEP = Turbulent Eddy Profiler, 4 = 449 MHz profiler, La = Laser wind profiler, Sc = Laser scintillometer This potential site is located southeast of  Leon, Kansas (see Figure 2) in the meso-b-scale CASES site/Walnut River Watershed.

    Finally, CASES-99 core instrumentation will include a special 40 m tower, the Dugway FM- CW radar, sodars (2), the turbulent eddy profiler (TEP), tethered balloons (2 or 3), a CLASS bal loon sounding system, a 449 MHz profiler, and aerosol Doppler lidars (1 or 2). Other instrumenta tion that may also be available for use at the core instrument cluster includes a kite-borne  sounding system (currently proposed to NSF), additional Raman and Doppler lidars, and the NOAA/Germany HELIPOD for in-situ turbulence measurements. Together with the Wyoming King Air and hopefully NOAA Long EZ instrumentation, this suite of instruments offers the opportunity for correlative measurements and nocturnal boundary-layer characterization of unprecedented scope and detail. To optimize these measurement capabilities, the core cluster will be configured so as to benefit as fully as possible from instrument synergism. For example, measurements of turbulence structures and intensities using the FM-CW radar will be used in real time to identify regions having an elevated level of turbulence (or dynamics that appears likely to initiate turbulence bursts) in order to guide in-situ measurements using the kite instrument pay load, the TEP, the HELIPOD, and the King Air and/or Long EZ. Likewise, real-time radar, sodar, lidar, and balloon wind measurements will enable us to align the lidars for optimal sensitivity to momentum fluxes due to the larger-scale (2D) wave and instability processes occurring within, and dependent on, the evolving boundary-layer structure. These more focussed measurements will then enable a characterization of the vertical and horizontal structure, the dynamics, the horizontal extent, and the temporal variability of these flows and the turbulence bursts, transports, and mixing that accompanies them. Simultaneously, the spatially distributed array of towers and microbarographs will capture the surface signature of propagating or spatially limited events.

    The Doppler lidars will likely be employed for two purposes. Periodically, one will be used to
map the spatial variations of the large-scale wind field in the plane of the upper-level, boundary-
layer shear flow. A second, and possibly more important, task will be to define the vertical and
temporal variations of the quasi-two-dimensional (2D) momentum fluxes accompanying the grav
ity wave and shear flow instability processes accounting for momentum transports at larger scales
of motion. This requires a co-planar, dual-beam configuration for each component measurement,
as has often been employed with various atmospheric radars (Vincent and Reid, 1983; Fritts and
Vincent, 1987; Fritts and Yuan, 1989). Such measurements are key to identifying and understand
ing the wave and instability dynamics accounting for turbulence bursts and their associated mix
ing, fluxes, and transports. The Doppler lidars can be configured in any of several ways for these
purposes, but at least two systems are necessary to define vector momentum fluxes, and occa
sional horizontal (PPI) scans of the 2D motion field, in order to insure the smallest statistical
uncertainties in radial wind and momentum flux estimates. Either individual systems can make
dual-beam measurements, or two systems could be configured to make measurements in overlap
ping volumes so as to minimize the degree of spatial or temporal averaging needed to provide
valid momentum flux estimates.

    Other instrumentation (the sodars, tethered balloons, CLASS system, 449 MHz profiler, and
kite profiling instrumentation) will further define the environment in which these dynamics are
occurring, the spatial homogeneity or heterogeneity of the boundary layer, and the dynamics
accounting for turbulence bursts and their effects. In-situ measurements, in particular, will be
highly beneficial in defining the intermittency and strength of the turbulence bursts, the character
istics of the resulting temperature, velocity, and constituent structures following mixing, and in
providing the most quantitative comparisons with simulations of these dynamics.

    For more than two decades, both FM-CW radars and pulsed Doppler radars operating at UHF
frequencies have proven to be efficient tools to monitor structure and dynamics of the clear-air
turbulence within the planetary boundary layer (Gossard, 1990; Wilczak et al., 1996). Due to their
ability to probe vertical profiles of radar reflectivity, Doppler shift and spectral width quasi-con
tinuously with time, the clear-air radars' potential to monitor profiles of the wind, of the refrac
tive-index turbulence structure parameter Cn2 (see cover figure), of the turbulent energy
dissipation rate and of vertical gradients of mean quantities, is tremendous. However, although
there have been many studies on how to use clear-air radars to monitor variables other than the
wind (e.g., Gossard et al., 1998; Muschinski, 1997; Stankov, 1998), generally, there is still a lack
of convincing data from well-designed multi-sensor field experiments which make full use of the
synergism between state-of-the-art remote sensing, state-of-the-art in-situ measurements and
state-of-the-art modeling. CASES-99 will help significantly to fill this gap. In addition, CASES-
99 will test and establish new radar-data acquisition techniques, new data-processing strategies,
and new theories describing the complicated mechanisms of electromagnetic reflection and scatter
from turbulent refractive-index fluctuations in the clear air.

    For example, FM-CW radars provide very high resolution measurements (down to about 1 m
in range and several seconds in time) of Cn2. Hence, an FM-CW radar can play the role of a
"microscope" which monitors the fine-structure and small-scale dynamics of turbulence, waves
and instabilities within a vertical column of the nocturnal boundary layer above the radar site.
Collocated in-situ measurements (towers, kites, balloons, aircraft, HELIPOD) and lower-resolu
tion remote sensing measurements made with pulsed Doppler radars and lidars, together with
computer simulations of the nocturnal boundary layer will benefit from that "microscopic" moni
toring of the atmosphere. Since FM-CW radars, in contrast to pulsed Doppler radars (typical
range resolution 100 m), have a very large bandwidth and because of frequency-allocation and
radio interference problems, they cannot be deployed operationally but can only serve as research
tools. However, during the past several years, substantial progress has been made in the develop
ment of interferometric techniques using pulsed Doppler radars. While Spatial Interferometry (SI)
enables one to get more detailed information about the transverse distribution of scattering cen
ters within the radar's resolution volume (the new "Turbulent Eddy Profiler" is a multi-receiver
spatially interferometric pulsed Doppler radar operating at 915 MHz), Frequency-Domain Inter
ferometry (FDI) allows one to observe details about the radial distribution of scattering centers
within the resolution volume. In contrast to FM-CW radars, those interferometric pulsed radars do
have the potential to become important parts of future wind-profiler networks. Chilson et al.
(1997) have used FDI at VHF frequencies for the first time to monitor small-amplitude KH bil
lows in the upper troposphere, and the implementation of FDI at existing boundary-layer Doppler
radars will contribute to a better monitoring of waves and instabilities in the nocturnal boundary
layer.

    Recently, the existing theory of the zero and first moments of the variance- and cross-spectra
of signals observed with pulsed Doppler radars operating in the conventional mode, in the Fre
quency-Domain Interferometry (FDI) mode and in the Spatial Interferometry (SI) mode has been
extended by Muschinski (1998). The new theory provides a detailed understanding of the advan
tages of the interferometric techniques over the standard techniques. The same theory can help
identify and interpret biases resulting from a naive interpretation of clear-air radar data, that does
not take into account the intermittent and anisotropic nature of atmospheric turbulence.

4. Numerical Modeling Plan

    The modeling plan for CASES-99 will have three phases and, at this time, involves three dis
tinct modeling techniques. The three phases of modeling are, 1) pre-CASES-99 modeling studies
that would guide instrument placement, focus the science goals, and prepare for phase 2, 2) real-
time modeling of the CASES site-specific conditions to assist in optimal mobile-instrument usage
or varying measurement strategy, and 3) post-CASES-99 modeling and analysis addressing spe
cific science questions. Moving down in scale, the three modeling techniques are 1) mesoscale
modeling, 2) large-eddy simulation (LES) and 3) direct numerical simulation (DNS) at low to
intermediate Reynolds number (Re = VL/n, where V, L and n are the characteristic velocity scale,
length scale and kinematic viscosity of the fluid system, respectively). Mesoscale modeling would
be pursued using the Regional Atmospheric Modeling System (RAMS, Pielke et al., 1992) or like
models (e. g. MM5, ARPS or COAMPS from the U. S. and Meso-NH or HIRLAM from Europe)
with data assimilation capability to describe land-atmosphere moisture exchanges, the structure
and stability of, and the heat, moisture, and momentum fluxes within, the evolving NBL. LES
studies would use realistic Re and very high resolution (1-10 m) to simulate the intermittent turbu
lence in the stable boundary layer, and bridge the scale gap between the mesoscale model and the
DNS. DNS efforts would use highly-optimized, parallel, incompressible or anelastic codes, to
describe directly the instability dynamics and turbulent mixing events within the NBL under vari
ous idealized and realistic conditions (Werne and Fritts, 1998; see Figure 4). These studies would
assess the utility, and deficiencies, of present stable-layer parameterizations and characterize the
statistical effects of the mechanisms causing turbulence bursts.

    Used together, CASES-99 measurements and the three classes of numerical simulations antic
ipated above would help quantify the dynamics accounting for the structure, fluxes, and evolution
of the stable NBL. Additionally, CASES-99 measurements of NBL structure and fluxes would
enable testing of the surface flux and turbulent mixing parameterizations presently incorporated in
the mesoscale and LES models. Given the current belief that these parameterizations are often
most deficient under conditions of stable stratification (Poulos, 1996; Mahrt, 1998), the data/
model comparisons enabled by our proposed CASES-99 program would also provide a means of
improving and further quantifying these parameterizations. Since most atmospheric models use
similar parameterizations for stable flows, the benefits of improving surface layer and turbulence
parameterizations would be very large indeed.

4.1 Mesoscale Modeling

    Mesoscale numerical simulations anticipated as a part of CASES-99 would describe the cou
pled land-atmosphere system, boundary layer fluxes, and NBL structure through assimilation of
measurements of surface moisture and mesoscale atmospheric structure. As an example, RAMS
is a parallelized, primitive equation, limited area, compressible model constructed using a terrain-
following coordinate system. Similar models that could be used are MM5, ARPS or COAMPS
from the U. S. and Meso-NH or HIRLAM from Europe, among many others. These models are
capable of capturing large-scale forcing on a larger grid and using grid-nesting to telescope down
to the scales of interest. Furthermore, field observations can be used in initialization and for four-
dimensional data assimiliation during model runs to improve model performance. Each generally
contains a sophisticated radiation parameterization, a soil/vegetation model (temperature and
moisture) and can ingest high-resolution physiographic data (terrain heights, vegetation soil type
and land percentage), all of which will affect NBL evolution (Pielke et al. 1992). Anticipated use
of mesoscale models is envisioned in four main ways: 1) to reconstruct, at very high horizontal
(O[100m]) and vertical (1-10 m) grid spacing, the meso-g- to micro-a-scale features of the NBL
for case nights of interest from CASES-99 (with due respect to use #3, below), 2) to provide guid
ance (shear values, initial Richardson number profiles, etc.) to the DNSs described below (again,
with due respect to the following), 3) to reveal the deficiencies of the existing stable surface layer
and subgrid-scale parameterizations and, 4) to a lesser extent, to help situate CASES-99 instru
mentation based on physiographic or climatological biases for the development of intermittent
behaviour within a strong NBL at the CASES location (see Figure 2). Simulations in advance of
the field experiment would use CASES-97 or MICROFRONTS (Blumen and Grossman, 1998)
data to describe the evolution and characteristics of the NBL under a variety of conditions.

    For case study reconstruction and testing of the stable surface layer and subgrid-scale parame
terizations, emphasis will be placed on comparison with 3-d flux, intermittency, and turbulence
measurements from the CASES-99 field experiment. Also, 1-d column model tests will be com
pleted for rapid evaluation of parameterizations from the various mesoscale models used. This
will provide the foundation for analysis of simulation quality and the evaluation of the parameter
izations. At sufficient resolution, mesoscale models have been shown capable of reproducing
Kelvin-Helmholtz billows, small-scale gravity waves, shallow gravity currents, very stable layers
(these, typically produced by strong, near-surface, radiative flux divergence, have been simulated
as strong as 100oC km-1 by Poulos, 1996) and vertical jet structure, although subject to parameter
ized turbulence (or SGS) and surface layer effects. These phenomena may be less influenced by
the turbulence parameterization in the LES modeling (see discussion below) and not at all
affected in DNSs. Thus, codes such as these will only be relied upon to evaluate the finest details
of turbulent processes. Inaccuracies in the simulation and parameterization of the very stable sur
face layer will be evaluated to pose new solutions to that problem, as hypothesized by various
CASES-99 participants, and will hopefully lead to the improvement or development of entirely
new parameterization schemes.

4.2 Large Eddy Simulation

    LES models would be used to investigate several aspects of stably stratified, surface/boundary
layer turbulence, such as the nature of intermittency, coherent structures, and fluxes in stably strat
ified NBL flows and explore how these NBLs differ from their unstable and neutral counterparts.
In order to carry out this research, the LES modeling effort will reevaluate our SGS modeling
practices in LES since one can anticipate that the current SGS models, developed for unstable and
neutral flows, are inadequate for the stable regime. With regard to the issue of SGS modeling, the
question arises as to how to parameterize the effects of small eddies (smaller than a typical LES
grid volume, say 20 m on a side) in LES for stably stratified turbulence. Some LES solutions are
very sensitive to the stability correction described in Section 4.4. For example, simulated entrain
ment fluxes in CBLs that grow into strong capping inversions can be very different with and with
out the stability correction. Sensitivity studies and model intercomparisons would be completed
as a part of CASES-99, using its supporting measurements to reformulate (4.3), as appropriate for
the stable NBL. Wyngaard and Peltier (1996) discuss the measurement requirements for the eval
uation of LES SGS and surface layer parameterizations.

    Because the optimal simulation scale of the LES lies between that of the mesoscale model and
that of the DNS, simulated stable NBLs using LES are an important part of determining the flaws
in SGS parameterization. Although LESs are unable to simulate the details of turbulence shown in
the DNS technique, we expect these simulations to capture the smallest scales of turbulence possi
ble at high Re (107-109), thereby implicating certain aspects of the mesoscale model as deficient
in capturing realistic NBL evolution, particularly as regards intermittent turbulent behaviour. Of
course, such simulations will be most valuable if the smallest resolvable scale reaches the upper
end of the inertial subrange, which may be quite difficult since the inertial subrange is typically
shifted to considerably smaller scales in the stable NBL. Only then will the SGS parameterization
provide a realistic energy cascade for the LES. Similarly, comparisons with low Re (O[104])DNS
will show where, perhaps, the unrealistic Re (via viscosity much larger than that in the natural
atmosphere) in the DNS fails to allow the development of realistic atmospheric features. Such
comparisons will ensure the proper interpretation of the dynamical evolution in all three modeling
techniques. In general, idealized profiles based on CASES-99 measurements would be used to ini
tialize the LES, due to the cyclical boundary conditions inherent in the LES technique.

4.3 Direct Numerical Simulation

    A central science goal of CASES-99 is quantifying the role of intermittency in turbulent mix
ing and transport. The causes of the intermittency are the KH and gravity wave instabilities that
are in turn caused by larger-scale forcing such as drainage flows and radiative fluxes. DNS of the
initiation of these instabilities and the evolution of the resultant turbulent layers is uniquely suited
to quantifying the intermittency. The large-scale flows can be observed by measurements, which
determine the initial conditions for the DNS. Measurements of turbulence statistics can validate
the subsequent evolution calculated by DNS.

    Focussed simulations using at least one highly-optimized spectral code will be performed to
examine flow instability within and above the NBL, the occurrence, intensity, and intermittency of
turbulence, and its penetration into the stable NBL, and the structure of, and the turbulence fluxes
accompanying, such penetration events. Applications of one such code in current shear flow insta
bility studies use resolution of 5123 or greater, yield a buoyancy/inertial sub-range of turbulence
spanning a decade or more, and enable assessment of turbulent fluxes and transport accompany
ing such events (see Figure 4). Indeed, such simulations now access turbulence Reynolds numbers
(Re) of 4 x 104 and as such can describe the implications for mixing and transport in real flows.As
such, these simulations will become an integral part of improving the SGS turbulence and surface
layer models in both LES and mesoscale models. Indeed, such simulations may provide our only
hope for high spectral frequency comparisons to CASES-99 data.
 

    Incompressible and/or anelastic studies will be performed to supplement the mesoscale model
and LES code simulations and will focus on the dynamical processes leading to instability, turbu
lence, and the associated fluxes and transports. Because these studies will 1) focus on dynamical
instability processes rather than the NBL structure and evolution and 2) achieve greater numerical
efficiencies and resolution than are possible with the high Re models (which must rely on an SGS
parameterization that is known to be flawed in stable conditions), they will be able to address the
statistical structure, intensities, and implications for turbulence fluxes and transports accompany
ing the major sources of turbulence within the evolving NBL.

    It is also essential to connect the DNS with standard micrometeorological theory. The basic
micrometeorological equations are the budgets of momentum, energy, and scalars (moisture, con
stituents). In standard micrometeorological practice, these budgets are averaged in the horizontal
and terms are deleted on the assumed basis of horizontal homogeneity the motivation being to
eliminate terms that are very difficult to measure and are usually not quantified by measurements.
DNS provides the opportunity to quantify those difficult terms. More fundamentally, the basic
hydrodynamic equations of the DNS can be used to derive the micrometeorological budgets that
are averaged over a horizontal region, but without deletion of any terms: in particular, the assump
tion of horizontal homogeneity will not be necessary. These fundamental budgets must balance to
within numerical round-off errors, which can be verified. The DNS has the unique ability to quan
tify all terms in the fundamental budgets, even those that cannot be measured. This is especially
important with the intermittent turbulence in stratified flows, where locally strong turbulence and
sharp thermal or constituent gradients may lead to strong, spatially and temporally localized, mix
ing and transport (for example, at the edges to he mixing layer in the central panels of Figure 3),
which may differ greatly from mean turbulence statistics. By performing such simulations, and
assessments of turbulence mixing and transport, for flows that are observed during CASES-99, it
will also be possible to make them directly comparable with measurements of such mixing events.
As such, they should contribute significantly to the evaluation of existing stable layer parameter
izations and the formulation of improved versions.

Figure 4 (above): An incompressible direct numerical simulation at Re = 2000, Pr = 1 and Ri = 0.05 of the turbulent breakdown of a Kelvin-Helmholtz billow in stratified shear flow. The left panels show vorticity and the right panels show  potential temperature. The interaction of secondary instabilities in the form of streamwise-aligned vortex tubes  interact to initiate the turbulent cascade to smaller and smaller scales of motion. In this case, the spectrum spans ~  1.5 decades and the simulation contained 384 x 128 x768 grid points. See also Werne and Fritts (1998).

 4.4 Stable Layer and SGS Parameterizations

    The CASES-99 program of NBL measurements and numerical modeling described in this
document will address stable-layer parameterization needs in several ways. First, applications of
mesoscale and LES models in describing the NBL structure, evolution, fluxes, and transport, for
cases where these NBL properties are defined as fully as possible with extensive ground-based
and in-situ instrumentation, will facilitate a detailed assessment of the strengths and limitations of
existing stable-layer parameterizations (e. g. Wyngaard and Peltier, 1996). The community is
already well aware that these schemes fail to adequately describe boundary layer fluxes under
moderately and strongly stable conditions (see above). Yet the specific manner in which these
schemes are deficient has not been clarified with direct modeling and measurement comparisons.
Second, applications of efficient, high-resolution incompressible or anelastic models to describe
specific dynamics in environments defined by CASES-99 measurements of the evolving NBL
structure are expected to yield instability dynamics with turbulence statistics, mixing, and trans
port that can be directly validated with CASES-99 small-scale in-situ measurements of turbulence
intensities and consequences. Such comparisons will both 1) validate the model descriptions of
turbulence bursts when appropriate mean flows are specified and 2) enable a determination of the
parametric dependence of such effects on the specific dynamics encountered, the environments in
which they occurred, and their fluxes and transport within those environments. A third compo
nent, enabled by the planned CASES-99 measurement and modeling synergism, is expected to
involve the formulation and testing of new stable-layer parameterizations based on the DNS
model outputs and the ability to compare the performance of these schemes incorporated in LES
and mesoscale models with CASES-99 measurements of NBL dynamics, structure, and evolution.
The formulation of adequate SGS models of turbulence in stably stratified fluid modeling is a
formidable problem. The necessary data for developing a subgrid-scale model for stably stratified
flows can be understood as follows. Small-scale turbulent mixing of momentum and heat are typ
ically parameterized via an eddy viscosity SGS model, such as the following for momentum,

where tij is the subgrid-scale flux of momentum (for uj components). The quantities in the above
equation are interpreted as averages over a small volume, which is usually just the grid volume.
To parameterize the SGS eddy viscosity and diffusivity, KM, in (4.1), all of the above volume-
averaged statistics are required, i.e., 3D low-pass filtered fields. At a minimum, 2D flow fields are
needed to obtain estimates of the 2D low-pass filtered statistics.
KM can be expressed as

where e is the SGS turbulent kinetic energy (TKE), and l is a characteristic length scale.This
length scale is often assumed to be (or proportional to) the effective grid spacing
, where Ds is the grid length scale. Muschinski (1996) has discussed in
some detail the relationship between the grid scale and the "characteristic" length scale. But when
the local stratification is stable, one expects the SGS mixing scale to be suppressed somewhat.
Thus, Deardorff (1980) proposed a stability correction to l that when

if .
This `stability correction' for l in (4.3) gives smaller SGS KM in (4.2), and thus smaller mix
ing, within (locally) stably stratified regions in all three directions, not just in the vertical. Without
a force in the horizontal component analogous to the increased restoring force with increasing sta
bility in the vertical component, such a formulation would appear to be oversimplified. (4.3) was
given by Deardorff without any observational or theoretical basis, though l is intended to repre
sent the free path a particle can travel before being stopped by buoyancy effects when displaced
from its level with an energy equal to its TKE. The coefficient 0.76 is purely empirical.
The measurements from a well-strategized CASES-99 program can address the deficiencies
and will allow us to be more certain about the treatment of the SGS length scale. The data
required include the volume-averaged quantities of wind (ui), potential temperature (q), momen
tum fluxes (tij), heat fluxes (tqi), and SGS TKE (e) (see Wyngaard and Peltier, 1996). These 3D
low-pass filtered quantities can be reasonably approximated by 2D low-pass filtering. Adequate
data at the Re of the natural atmosphere can only from comprehensive field measurements, since
it is difficult to generate small-scale inertial subrange eddies in laboratory experiments. CASES-
99 promises to provide such information. These data can also now be generated by state-of-the-art
DNS (see Section 4.3) at lower Re, and will be used where relevant, in conjunction with measure
ments.
    One potential source of observational data relevant to the SGS turbulence parameterization
problem, are wind profiling radars, which measure the radial velocity spectrum of target move
ment in the pulse volume. From the zeroth, first and second moments (i.e., the raw measurements
of the radar moments) of the spectrum, Gossard et al. (1998) and Stankov (1998) have shown that
measurements of the turbulent eddy diffusivity, Kh, are possible. It should be kept in mind, how
ever, that those techniques, although very promising, rely on the assumptions of homogeneous,
volume-filling and isotropic turbulence, and it is not known how sensitively the results are biased
if those assumptions are not fulfilled (e.g. Figure 4), as it is to be expected in the stable layers. The
multi-sensor observations to be made during CASES-99 will help to estimate the degree of reli
ability of wind-profiler measurements of quantities other than the wind, and therefore the poten
tial for the use of radar moments in evaluating fundamental outputs from SGS parameterizations
(eddy diffusivity).

5. Data Management

The development and maintenance of a comprehensive and accurate data archive is critical to
meeting the scientific objectives of CASES. The project has been designed as a multi-agency
sponsored, multi-disciplinary program with many different investigators and varied instrumenta
tion. An integrated data management activity is central to providing a consistent high quality data
base that is easily accessible throughout the lifetime of the program and beyond. The CASES data
management philosophy is to make the completed dataset available to the research community as
quickly as possible. This will permit resolution of the interdisciplinary research objectives in a
timely fashion and permit access by a broader community. Thus, anticipated products, services
and documentation that are planned in the continuing evolution of the CASES-99 data manage
ment approach can be listed as follows:

Develop and distribute a PI questionnaire on CASES-99 data issues to compile data needs.
Develop and formalize data documentation and format procedures.
Implement CASES-99 on-line catalog for the field phase.
Data available via UCAR/JOSS CODIAC data management system.
The CASES-99 field phase will build on the data management strategy implemented for the
CASES-97 study. The following data protocols are specified in the CASES-97 Science Plan, and
form the basis of the data management strategies that will be used in CASES-99.
-  Ensure open access to all CASES-99 datasets. This requires a data management strategy that
facilities data exchange and investigators accepting responsibility for making data available.
-  CASES-99 will take advantage of several existing data centers to house a variety of datasets
to be collected. These include the UCAR/Joint Office for Science Support (JOSS), NCAR,
NOAA, NASA/LaRC/DAAC and ARM/ORNL. Cooperative agreements for unrestricted
exchange and access of CASES-99 data from all these locations will be established.
-  All investigators participating in CASES-99 must agree to promptly (within one year of the
end of the project) submit data to the appropriate data archive center to facilitate the data process
ing, archival activities and distribution. Datasets must be submitted to the archive in a usable for
mat and with sufficient documentation to allow easy access and understanding by others. CASES-
99 will utilize a distributed archive strategy whereby datasets will be housed at the most conve
nient location to permit easy access. A single access point with appropriate links to the distributed
data centers will be provided through UCAR/JOSS CODIAC.
-  Ensure that the CASES-99 dataset is comprehensive by acquiring appropriate data from
NOAA, NASA, DOE-ARM, local agencies, etc. that might be conducting programs in conjunc
tion with, or of interest to, CASES-99 investigators.
The CASES-99 Science team will coordinate the development and implementation of a data
management plan. The final objective is a high quality data archive that has easy and timely
access by a large community of investigators. This is a large task given the diversity of participa
tion and instrumentation planned for CASES-99. It is proposed that the UCAR/JOSS collaborate
with the Science Team in this effort.
To that end, the following tasks are viewed as essential to providing an acceptable level of data
management support for CASES-99.
Provision of an on-line catalog at the CASES-99 field site during the field season.
Access to preliminary datasets and selected operational data during the analysis phase.
Suggest standardized format(s) and guidelines for dataset documentation, status and sum
mary reporting and other important data management procedures as necessary to assure
complete documentation of project activities.
Assist CASES-99 management team with planning and coordination of data management
activities among other agencies, projects and groups to meet investigator needs.
Details of the CASES-99 experiment design and dataset requirements continue to be refined
by the CASES-99 Science Team. Therefore, the proposed data management activities represent a
cohesive plan based on the information available at this time.

6. Summary

    The Cooperative Atmospheric Surface-Exchange Study to be held in 1999 is motivated by the
search for solutions to vexing scientific problems in stable and/or nocturnal atmospheric condi
tions (Nappo and Johansson, 1998). The problems of interest are (see Section 2.2), 1) to provide a
time history of internal gravity waves, KH shear instabilities, and turbulence events in the night
time stable boundary layer, and evaluate their contributions to fluxes and boundary layer trans
ports, 2) to measure heat and momentum fluxes and flux divergences throughout the nocturnal
boundary layer, and quantify departures from similarity theory under stable conditions, 3) to
define the relative importance of surface heterogeneity in the initiation of shallow drainage cur
rents and their associated transports, 4) to investigate the diffusion, dispersion, meandering and
concentration fluctuations of ground-based and elevated plumes in the clear and cloud-topped
NBL, and 5) to quantify the transition from the CBL to the NBL and vice-versa, and its role in
inertial oscillations and low-level jets. Individual scientists in this cooperative program have
agreed that these problems deserve immediate attention, and have developed hypotheses within
these bounds. To accomplish these goals the CASES-99 community has organized and will con
tinue to refine a comprehensive observational and modeling plan.

    In recognition that previous attempts at nocturnal/stable layer observation have been ham
pered by insufficient correlative measurements, the scientists participating in CASES-99 planning
have chosen to focus a large variety and number of instruments in a relatively small (~ 5 x 5 km,
meso-g- [2 - 20 km] scale) region, rather than undersampling a larger area. The instrumentation
currently probable for CASES-99 (Table 1, Figures 2 and 3) is truly exceptional in its scope;
should some portion of the other possible instrumentation come to bear on the problem, this
would only improve. The emphasis will be on identifying and quantifying the evolution of various
nocturnal boundary layer phenomena, with regards to fluxes in particular, both with height and in
3 dimensions. Atmospheric evolution on the meso-b (20 - 200 km) and meso-a (200 - 2000 km)
scales will be addressed by outer arrays of wind profilers and sampling stations provided by
ARM-CART, ANL ABLE and the Wind Profiler Network.

    The modeling effort will consist of three parts. First, mesoscale modeling and intercompari
son with multiple case nights will be pursued to define the NBL evolution and structure. Through
comparison with CASES-99 observations, quantifiable deficiencies in or faults in physical basis
of the surface layer and SGS parameterizations will be generated. LES modeling will assess the
NBL evolution on finer scales, will further quantify departures from observed flows due to SGS
parameterization deficiencies and will be employed to test improved SGS parameterizations of
stable layer dynamics. Finally, DNS modeling at moderate Re will be performed using both
mesoscale model and observation al data as inputs to define the dynamics and fluxes of individual
instability phenomena. Comparison of these DNS results with CASES-99 measurements are
expected to both validate the DNS descriptions of NBL dynamics and enable the formulation of
new descriptions of such events based on correlations with the larger-scale flows.

    While any field experiment is subject to the limitations of data collection methods, and the sta
ble NBL and very stable NBL pushes those capabilities to their limits (Wyngaard and Peltier,
1996), the combination of instruments brought together for CASES-99 to address joint NBL-
related scientific goals is unprecedented. The CASES-99 community of scientists is aware of the
difficulties and previous efforts a variety of researchers have had investigating these problems, but
believe that we now have the computational and measurement resources to make dramatic further
improvements in understanding and quantifying stable layer dynamics and transport.

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  • APPENDIX A: List of Participants and Interested Parties

     
    Name Eddress Affiliation


    APPENDIX B: List of Expressed Research Goals

     
    Name Research Interest Source