5. DIAGNOSTICS STUDIES
The Diagnostics Studies Principal Research Area (PRA) is directed towards improved quantitative descriptions of all aspects of the water and energy cycles and their spatial and temporal variability over the Mississippi River Basin.
OBJECTIVE: Provide a better description and understanding of the factors which control the mean annual cycle and seasonal to interannual variability of hydrological processes over the Mississippi River Basin.
The core diagnostics activities consist of three interrelated program elements:
- Energy and Water Budget Diagnostics
- Land Surface Boundary Layer Coupling
- Diagnostic Studies of Long-lasting Hydrological Regimes
5.1 Energy And Water Budgets
OBJECTIVE: Determine the time-space variability of the hydrological and energy budgets over the Mississippi Basin.
There are four near-term objectives for the period covered by this major activities plan:
1. Sustain and enhance the program for the routine production of monthly-averaged energy and water budgets for the Continental-Scale Area (CSA) and four large-scale (LSA) sub-basins of the Mississippi River Basin.
2. Develop and implement, in support of the studies of cold season hydrological processes a capability to produce multi-scale energy and water budgets over the LSA-NC from basic and derived data sets and variable fields generated by four dimensional data assimilation (4DDA) procedures.
3. Produce and evaluate multi-scale water and energy budgets for the LSA-SW and LSA-NC during the WY 1998 and perform comparisons with WY 1997.
4. Implement the methodology developed for the LSA-SW to the evaluation of multi-scale budgets over the LSA-NC in support of the WY 97 and WY 98 studies of cold season hydrological processes and adapt and develop new methodologies to the study of hydrological processes over complex terrain for the LSA-E in WY 98 and WY 99.
In order to meet these near-term objectives, diagnostic studies will be undertaken which (1) will obtain area-averaged variables from the available data and derived data products; (2) compare budget results obtained from model-generated 4DDA fields and MOLTS with results obtained from different sources of data and analyses in order to evaluate their relative quality and sources of error; and (3) critically compare budget residuals with limited measurements and empirically derived values of evaporation and soil water storage.
The emphasis of these activities is on combined atmospheric land-surface budgets. There will be additional ISA/SSA land-surface budget analyses based on the output of surface hydrological models to atmospheric forcing, e.g. observed precipitation and surface meteorological variables. These studies are discussed in the context of the coupled model research in Section 2 and in terms of model assimilated data and analyses in Appendix B.
The overall activities for budget studies include the following:
1) Water and energy budget studies over the GCIP area will be performed using observational analyses and analyses and forecasts from operational and research analyses/forecast systems.
2) Inter-comparisons will be performed among several regional models including the Eta, MAPS, GEM and NCEP's Regional Spectral Model (RSM).
3) Water and energy budget studies and intercomparisons will be performed of regional models imbedded in NCEP, DAO or ERA Reanalyses and in imbedded in free running GCMs in AMIP mode i.e., with specified large scale ocean boundary conditions.
5.1.1 Budget Variables
The basic budget variables to be examined and the
potential sources of estimates for these variables are summarized
in Tables 5-1 and 5-2
with separate tables for the two different
scales. Table 5-1a identifies the Atmospheric Profile variables
and the potential data sources for the CSA and LSA scales.
Table 5-1b provides the same information for the ARM/CART region.
Table 5-1a Energy and Water Variables: Atmospheric Profiles CSA & LSA
Scales
VARIABLE | MEASURED | REMARKS | DERIVED | REMARKS | MODEL OUTPUT | REMARKS |
Water Vapor (q) | X | RWS | X | App. B | ||
Dry Static Energy (CpT+qZ) | X | Investigator Derived | X | App. B | ||
Wind | X | RWS & Profilers | X | App. B | ||
Water Vapor Flux | X | Investigator Derived | X | App. B | ||
Dry Static Energy Flux | X | Investigator Derived | X | App. B | ||
Vapor Flux Divergence | X | Investigator Derived | X | App. B | ||
Energy Flux Divergence | Investigator Derived | X | App. B | |||
Longwave Flux | X | NESDIS | X | App. B | ||
Shortwave Flux | X | NESDIS | X | App. B | ||
TOA Flux | X | NESDIS | X | App. B | ||
Cloudiness | X | ASOS & GOES | X | App. B | ||
Net Radiative Heating | X | NESDIS | X | App. B | ||
Condensation Heating Vertically (Integrated) | X | Investigator Derived | X | App. B |
Table 5-1b Energy and Water Variables: Atmospheric Profiles ARM/CART Region
for ESOP-96
VARIABLE | MEASURED
R.* E.* | REMARKS | DERIVED
R.* E.* | REMARKS | MODEL OUTPUT | REMARKS |
Water Vapor (q) | X X | RWS-NWS, ARM include IOP | X | App. B | ||
Dry Static Energy (CpT+qZ) | X X | Investigator derived | X | App. B | ||
Wind | X X | RWS-NWS, ARM include IOP Profilers, NEXRAD | App. B | |||
Water Vapor Flux | X X | Investigator derived | X | App. B | ||
Dry Static Energy Flux | X X | Investigator derived | X | App. B | ||
Vapor Flux Divergence | X X | Investigator derived | X | App. B | ||
Energy Flux Divergence | X X | Investigator derived | X | App. B | ||
Longwave Flux | X X | NESDIS; CAGEX ARM database | X | App. B | ||
Shortwave Flux | X | NESDIS; CAGEX ARM database | X | App. B | ||
TOA Flux | X | NESDIS; CAGEX ARM database | X | App. B | ||
Cloudiness | X X | GOES-ASOS; Sfc. Composite ARM database | X | App. B | ||
Net Radiative Heating | X | NESDIS; CAGEX ARM database | X | App. B | ||
Condensation Heating | X | Houze (WSR-88D) | ||||
Aerosol Concentration | X | ARM Central Site Database | X |
*R. - Routine
*E. - Enhanced
Table 5-2a identifies the Surface Budget variables and the potential data sources for the CSA and LSA scales. Table 5-2b provides the same information for the ARM/CART region. The data and information required for the evaluation of area- and time-averaged land/atmosphere energy and water balances will be provided by several GCIP Principal Research Areas and the Data Management and Service System (DMSS). The evaluation of the energy balance is particularly dependent on satellite products for estimates of surface variables and atmospheric radiative heating profiles.
Table 5-2a Energy and Water Budget Variables: Surface CSA &
LSA Scales
VARIABLE | MEASURED | REMARKS | DERIVED | REMARKS | MODEL OUTPUT | REMARKS |
Surface Elevation | X | USGS/EDC | ||||
Vegetation (NDVI) | X | NESDIS | ||||
Precipitation | X | Ppt. Composite obs. | X | NCEP Mesoscale Analysis | X | Sec. 6.1 |
Storage Snow Water Equiv. | X | NOHRSC | X | Sec. 6.1 | ||
Stream Discharge | X | USGS | ||||
Resevoir Storage | X | USGS | ||||
Water Table (Wells) | X | Not Applicable | ||||
Soil Moisture | Not routinely | X | GCIP/ISLSCP joint project in 1999 | X | App. B | |
Surface Temperature | X | Sfc. Composite | X
Clear Sky | NESDIS | X | Sec. 6.4 |
Albedo | X | NESDIS | X | Sec. 6.4 | ||
"Surface" Specific Humidity | X | Sfc. Composite | X | App. B | ||
Sensible Heat Flux | X | GCIP/ISLSCP joint project in 1999 | X | App. B | ||
Latent Heat Flux | X | GCIP/ISLSCP joint project in 1999 | X | App. B | ||
Longwave Radiation | X | NESDIS | X | Sec. 6.4 | ||
Shortwave Radiation | X | NESDIS |
Table 5.2b Energy and Water Budget Variables: Surface ARM/CART Region for
ESOP-96
VARIABLE | Measured
R* E* | REMARKS | DERIVED
R* E* | REMARKS | MODEL OUTPUT | REMARKS |
Surface Elevation | X | Sec. 6.3 | ||||
Vegetation (NDVI) | X | Sec. 6.3 | ||||
Precipitation (Liquid) | X | ESOP-96 Precip. Composite (15 min, hrly, daily) Sec. 5.4 Task 5.4.2 | X | NCEP Mesoscale Analysis | X | Sec. 6 |
Stream Discharge | X | USGS & USACE daily stream flow Sec. 6.5 | ||||
Reservoir Storage | X | Sec. 6.5 | ||||
Water Table (Wells) | X | Sec. 6.5 | ||||
Soil Moisture Total Column Profile |
X
X | Section 6.2 Little Washita & ARM/CART data OK Mesonet | X | App. B | ||
Surface Temperature | X | Hrly. Sfc. Composite Sec. 10 | X
(Clear Sky) | NESDIS & CAGEX | X | Sec. 6.4 |
Albedo | X | ARM/CART Sec. 10 | X | 2-D Grid ARM/CART | X | Sec. 6.4 |
"Surface" Specific Humidity | X | Hrly Sfc. Composite Sec. 10 | X | App. B | ||
"Surface" Wind | X | Hrly. Sfc. Composite Sec. 10 | X | App. B | ||
Sensible Heat Flux | X | LWW & ARM/CART flux sites | ||||
Latent Heat Flux | X | LWW & ARM/CART flux sites | X | 2-D Grid ARM/CART | X | App. B |
Longwave Radiation | X | Sec. 6.4 ARM/CART | X | NESDIS & CAGEX
2-D Grid ARM/CART | X | App. B |
Shortwave Radiation | X | Sec. 6.4 ARM/CART | X X | NESDIS & CAGEX
2-D Grid ARM/CART | X | App. B |
* R - Routine
* E - Enhanced
5.1.2 Basic Strategy
The basic strategy for the energy and water
budget analyses involves distinctly different approaches for the
LSA budgets and the more diverse ISA/SSA budgets.
5.1.2.1 CSA and LSA Budgets
OBJECTIVE: Develop research quality mean monthly time
series of basin-averaged budget variables and use these to
develop a better documentation and understanding of the "bulk"
water and energy cycles over the CSA and LSA sub-basins of the Mississippi.
The development of CSA and LSA budget time series is a
continuing activity, and will produce a continuous time series
of mean monthly budget variables for duration of GCIP. Although
the temporal and spatial resolution of these "bulk" budgets is
limited, much can be learned about continental hydrological
processes by deriving budgets and evaluating model results
over areas that are large enough and time periods long enough to
allow accurate evaluation of the heat and water balances of the
overlying atmosphere. This derived budget data set is therefore a
basic requirement for a variety of diagnostic and model
evaluation activities that address the major objectives of the
GCIP program.
The basic averaging period for the CSA and LSA budgets
is monthly. The evaluation of the individual water and energy
budget components and contributing variables depends heavily on
the availability of operational observations and on operational
4DDA fields. Mesoscale resolution is
required to adequately resolve the effects of terrain and to
accurately resolve the irregular boundaries of a specific
drainage basins for LSA studies. This resolution is provided by
the data assimilation systems of regional mesoscale models e.g.
NCEP Eta model, the FSL MAPS analyses and the Canadian GEM model.
However, to fully understand and interpret all available budget
study data and model analyses, it is necessary to utilize the
4DDA capabilities of the model output in conjunction with
observational data and make these available to GCIP
investigators. This aspect of the Diagnostics Studies PRA
requires a program of intercomparison and evaluation studies.
Among the methods available to GCIP
investigations for evaluating large-scale atmospheric vapor flux
divergence are (1) line integral computations made directly from
routine 12-hourly rawinsonde wind, humidity and temperature
observations and hourly profiler wind observations, and (2)
operational 4DDA products from meso-scale models.
Intercomparison of observational data with the 4DDA fields are
providing information on the quality of the 4DDA fields and the
impact of changes in the model's data assimilation system on the
one hand and the impacts on budget estimates of the relatively
spare spatial and temporal sampling of the observational array on
the other. The GCIP areas available for direct observational and
model comparison is limited by the relatively sparse
distribution of rawinsonde and profiler stations. However, two
areas have been identified for ongoing intercomparison; (1) the
continental-scale area (CSA) enclosed by the rawinsonde stations
shown on Figure 5-1, and (2) the large-scale profiler array in
the central United States, Fig. 5-2. Intercomparisons over the
profiler array are limited to winds and velocity divergence
fields. Intercomparisons are also being performed between the
MOLTS and the radiosondes in the CART/ARM hexagon. These provide
an independent comparison to model estimates of mass convergence
since the CART/ARM observations were not assimilated by the
models.
Figure 5-1 Continental Scale Area for intercomparison of
atmospheric
flux-diveregence results.
Figure 5-2 Large-scale profiler array in the Central U. S.
5.1.2.2 ISA/SSA Budgets
OBJECTIVE: Develop energy and water budgets for
selected ISA/SSA in support of specific GCIP program elements.
The Implementation Plan for GCIP, Volume II,
Research (IGPO 1994a)
outlined a multi-scale research strategy
for GCIP which is summarized in Section 1. The ISA/SSA budgets
are of a more specialized nature than the routinely computed LSA
budgets. They are computed for limited areas and in for limited
periods of time. They depend to a much greater degree on data
acquired from special observing systems or networks, in some
cases during short periods of enhanced observations. Their
objectives are more process oriented e.g. land surface processes;
development and testing of model subcomponents; more detailed
decomposition of atmospheric budget residuals i.e. Q1, Q2, total
surface storage where Q1 is the apparent heat source and
Q2 is the apparent moisture sink as defined in Appendix B of the
GCIP Science Plan (WMO 1992).
During WY 97 and continuing to WY 98 one geographical
focus is on the LSA-NC. The phenomenological emphasis is on
various aspects of the cold season hydrological cycle. It
includes studies on the LSA, ISA and SSA scales. Another
geographical focus continues to be the LSA-SW. Many of the ISA
activities continue to be focused on the ARM/CART site that
occupies almost 20 per cent of the LSA-SW. SSA studies will exploit the
well instrumented Little Washita Watershed.
5.1.3 WY 98 Activities:
1) LSA and CSA Energy and Water Budgets
a) Continue routine assembly of area
averaged mean monthly LSA and CSA energy and water budget variables
as the data become available (one to 7 months after observation time
depending on the variable and
source of the data) for all sub-basins (Missouri (upper and lower),
Red-Arkansas, Ohio, and Upper Mississippi) (Fig. 5-3) as well as
for the two intercomparison areas (Fig. 5-1).
2) ISA/SSA Energy and Water Budgets.
a) Assemble all available surface/atmosphere budget
information acquired over the ARM/CART area and appropriate LSA-NC and LSA-E areas.
b) Analyze area averaged
surface/atmosphere energy and water budgets during intensive
observation periods for the area enclosed by the four-station
ARM/CART rawinsonde array.
c) As the data become available, develop area-averaged estimates
ofsoil moisture and surface meteorological parameters for the
Little Washita Watershed. Compare these values with output from
operational mesoscale models.
d) Analysis of ISA/SSA budget computations over the LSA-NC.
5.1.4 WY 99 Activities:
1) LSA and CSA Budgets.
a) Continue the routine evaluation of
mean monthly budget time series for all LSAs and the CSA.
b) Develop a description of the WY 99
annual cycle of the land surface and atmosphere hydrological and
energy cycles over each LSA and the CSA and compare to the WY 97 and
WY 98 analyses.
c) Continue ongoing intercomparisons
between atmospheric budgets obtained directly from observations
and those computed from operational analyses.
d) Continue investigation of long-lasting
hydrologic regimes including those that may have developed in WY 98.
e) Initiate studies with the Pan-American
Climate Studies (PACS) Program to investigate the relative roles of land surface boundary,
i.e. Local conditions, and large scale boundary conditions, i.e. ocean sea surface
temperatures, on the initiation, maintenance and demise of long-lasting hydrologic events.
2) ISA/SSA Budgets.
a) Continue compilation and analysis
of area averaged surface and atmosphere energy and water budgets
for the area within the LSA-NC ISS/SSA and appropriate data from
the ARM/CART rawinsonde array.
b) Continue the routine computation of
area-averaged estimates of soil moisture and surface meteorological
parameters, including fluxes, over the Little Washita Watershed, and
begin similar computations for the ARM/CART array. Compare these
values with output from operational mesoscale models.
c) Compare soil moisture estimates from
observational and model- derived moisture budgets with instrumental estimates over the
ARM/CART array.
d) Continue evaluation of available
surface/atmosphere budget information acquired during WY 98
in the ISA/SSA and initiate evaluation of ISA/SSA budget
computations over LSA-E.
e) Complete planning and
implementation of a program of ISA/SSA budget computations over
the LSA-NW during WY 2000.
5.1.5 Outlook for WY 2000
1) Continue evaluation of CSA and LSA water and
energy budgets. Mean monthly LSA budget time series will be extended into WY 99. The
fourth year (WY 2000) annual cycle will be analyzed and compared with the earlier years.
2) Continue studies with the Pan-American Climate
Studies (PACS) Program to investigate the relative roles of land surface boundary, i.e. Local
conditions, and large scale boundary conditions, i.e. ocean sea surface temperatures, on the
initiation, maintenance and demise of long-lasting hydrologic events.
3) ISA/SSA Budgets. Continue evaluation of
ISA/LSA budgets within the LSA-SW and LSA-E. Began compilation of data for ISA/SSA budgets
for specified areas in the LSA-NW.
5.2 Land-Surface Boundary Layer Coupling
OBJECTIVES:
1. Develop an improved documentation and
understanding of the processes controlling
the seasonal cycle of fluxes of water and
energy across the land/atmosphere interface
and within the planetary boundary layer.
2. Establish relationships between surface
conditions and boundary layer processes,
particularly as they relate to the
partitioning of surface fluxes between latent
and sensible heat.
Surface fluxes, including evaporation, are at the
end of a long chain of processes and interactions involving
cloudiness (which affects surface net radiation), soil water
content (which is dependent on rainfall), and vegetative cover.
The planetary boundary layer can act as a governor on the
transfer process at the surface. In turn, the boundary layer
response depends on the partitioning between surface latent and
sensible heat fluxes.
The diurnal and annual cycles have a fundamental effect
on the coupling of the surface and the Planetary Boundary Layer
(PBL). The diurnal cycle itself has a pronounced annual cycle,
with maximum amplitude during the warm months, when the land
surface and atmosphere are most strongly coupled.
This element of the Diagnostics Studies PRA will
progress as a phased study of processes during different seasons
over different sub-basins of the Mississippi Basin, with the
overall results integrated into a coherent picture of the
seasonality of hydrological processes over the basin. The
strategy therefore involves a specific LSA and seasonal focus at
any particular time, in which
is embedded limited time/space ISA/SSA enhanced observational
programs during various seasons and throughout the entire year.
5.2.1 Warm Season Processes
During WY 97 the focus of GCIP activities will be
on warm season processes in the LSA-SW. Within the LSA-SW region
there will be concentrated data collection and diagnostic studies
over the ARM/CART site and the Little Washita Watershed. The
LSA-SW, ARM CART and Little
Washita combination of activities will provide a "nested" set of
studies on scales ranging from approximately 103 to 106 km2.
The conceptual framework for multi scale diagnostic
studies of warm season processes can be summarized as follows.
LSA-SW Setting
The variability at a point includes the effect of
large-scale and small-scale advection, and the net effect of land
surface forcing on scales ranging from local to continental.
Process studies over limited time-space domains need to be
interpreted in the context of gradients associated with larger
scales of continental forcing. GCIP continental-scale data sets
and derived data products will be used to describe the general
nature of the continental-scale warm season processes as they
relate to the LSA-SW, and to the ARM/CART ISA and Little Washita
SSA low level northward flowing moisture jet, which exhibits
large variability on diurnal, synoptic and interannual time
scales, and the pronounced warm season diurnal cycle of
hydrologic and circulation features over the LSA-SW, which
includes a nocturnal maximum in thunderstorm and precipitation
occurrence.
The routine observational system over the LSA-SW
will consist of conventional surface and upper air observations
(rawinsonde, wind profilers), aircraft observations, and NEXRAD
observations of precipitation. These observations will be
assimilated by 4DDA methods into regional mesoscale models to
provide operational analysis/forecast products on a grid mesh of
a few tens of kilometers. The availability of routine three-hourly
regional mesoscale model analyses will provide an improved
description of many features of this continental scale diurnal
mode, and contribute to an improved documentation of its effect
on LSA-SW hydrology.
The routine observations from the national networks
will be supplemented by regional observational systems within
portions of the LSA-SW. Notable among these are the following:
1) The Oklahoma Mesonet
2) Observations from the DOE ARM/CART area (~300 km x
200 km) which includes portions of Oklahoma and
southern Kansas. These observations have been
focused on atmospheric radiation processes, but
will also provide continuous observations of soil
moisture profiles at a steadily increasing number
of sites and high frequency rawinsonde observations
(three-hourly) from five sites during the 3-week
ARM-CART Intensive Observational Periods.
3) A relatively dense network of continuous
surface meteorological and soil moisture/temperature profile observations
over the Little Washita Watershed.
ARM-CART Setting
The observations from the ARM/CART array provides data
required for process studies and more detailed intercomparisons
and validation of both surface and atmospheric model
subcomponents. Among the major enhancements to the operational
data which are available from the ARM/CART area are the
following:
1) Data for the evaluation of the surface
radiation balance and surface fluxes. These data are provided from a number of different
ARM instrument systems and sites. Emphasis is placed on instrumental calibration to assure
that the measurements are consistent, compatible and reliable.
2) Soil moisture measurements. Continuous
automated soil moisture measurements in the ARM/CART site were initiated in the spring of
1996 with the installation of instruments at sites. An additional 15 sites are scheduled
to be instrumented prior to April, 1997, thus providing a large scale but sparse array of
soil moisture monitoring sites over the ARM/CART site beginning in April 1997.
3) Aerosol concentration measurements from the
ARM/CART central site. These data will provide important information on the effect
of aerosols on the radiation balance.
4) PBL Structure. Detailed monitoring of the
PBL structure will take place during the three-week intensive observational periods,
when rawinsondes will be launched eight times daily from the ARM/CART central facility and
four profiler sites. These data will provide the time/space sampling required to
characterize the detailed structure of the PBL, and evaluate the heat and moisture
budgets on this spatial scale during different seasons.
There will likely be several intense synoptic or
mesoscale events which will pass across the ARM/CART site during
the these intensive observing periods. These occurrences will be
viewed as "targets of opportunity" and designated for special
study.
Little Washita Watershed Setting
A relatively dense network of continuous automated soil
moisture measurement sites are being established over the Little
Washita Watershed. This provides a more dense network of soil
moisture profile measurements than are available from the
ARM/CART network. The existing meteorological observations over
the basin will also be evaluated and upgraded if necessary
to provide the data needed to quantify the surface fluxes over the watershed.
5.2.2 Cold Season Hydrology
In order to model the annual cycle of surface
fluxes, it is crucial that the processes of both warm and cold
season hydrology be documented and understood. Therefore, in WY
97 a regional focus shifted to the LSA-NC where the
phenomenological focus is on cold season hydrology. Cold season
processes of central importance include the following:
1) The effect of snow cover on PBL structure and
surface transfer processes;
2) The effect of frozen ground on infiltration
and soil moisture loss;
3) The evolution of the soil moisture field
during the period between initial freeze-up and to final thaw and snow melt;
4) The processes of snow accumulation,
sublimation, ripening and melt, which involves terrain effects, wind
redistribution, vegetation (interception) and advection associated with both local
patchiness and large-scale circulation.
A prerequisite for the improvement of the modeling of
cold season hydrological processes is an improved data base of
relevant parameters. A program of ISA/SSA studies aimed at a
better documentation and understanding of these processes,
comparable to the LSA program for the study of warm season
processes, was developed during WY 96 for the LSA-NC. The
enhanced winter observing period (ESOP-97) included improved
documentation of snow cover, snow water content, vertical
variation of snow thermal properties, snow albedo, soil water
content and soil temperature over one or more ISA/SSA in the
Upper Mississippi Basin. An enhanced observation
period is also planned for WY 98 (ESOP-98) which will supplement
observations taken during ESOP-97 as well as supplementing
routinely available information from in-situ, aircraft and
satellite observations in the LSA-NC.
5.2.3 Near Term Activities
WY 98 Activities:
1) Perform diagnostic analyses of continental-scale
features associated with the cold season circulation as they relate to
hydrological and land-surface processes over the LSA-NC and the ISA/SSA within this
region. Initiate analysis of the data gathered during ESOP-97 for the LSA-NC. Since
twice daily rawinsonde observations are not adequate to study the diurnal cycle, the
diagnostics and land surface studies will also exploit the three-hourly EDAS analyses
and selected forecast products, along with diagnostic studies of extended model
simulations.
2) Continue to perform diagnostic analyses of
continental-scale features of the warm season circulation as they relate to land surface
and other hydrological processes over the LSA-SW and the ISA/SSA within this region.
3) Continue the analysis of the data collected
over LSA-SW and the two sub-areas during ESOP-95 and ESOP-96. This includes the
characterization of summertime conditions as well as the annual cycle of surface-planetary
boundary layer interactions, particularly over the ARM-CART Array. Coordinate these
diagnostic studies with ISLSCP-GCIP activities.
4) Implement plans for ESOP-98 land surface
diagnostic studies over the LSA-NC region and formulate plans for an ESOP-99 over the LSA-E.
WY 99 Activities:
1) Continue diagnostic studies of the data
collected over LSA-NC and subareas during ESOP 98.
2) Continue the analysis of the data collected
over LSA-SW and the two sub-areas during ESOP 96 and ESOP 97.
3) Begin implementation of plans for land surface and
diagnostic studies over the LSA-E in WY 99.
WY 2000 Outlook: