Land-Surface Processes

G. Land-Surface/Atmospheric Interactions and Their Modeling

[Background] [IHOP/NCAR Soil Moisture]
[Land Surface Model Development]
[High resolution land data assimilation system]



1. Background

RAP's objectives in this area are to understand, through theoretical and observational studies, the complex interactions (including biophysical, hydrological, and bio-geochemical interactions) between the land-surface and the atmosphere at micro- and meso-scales, and to improve land-surface models. The ultimate goal is to integrate such knowledge into numerical mesoscale weather prediction and regional climate models in order to improve prediction of the impacts of land-surface processes on regional weather, climate, and hydrology.

2. IHOP/NCAR Soil Moisture, Soil Temperature, and Vegetation Observation Network

The overall goal of International H2O Project (IHOP 2002) is to understand the distribution and variability of water vapor in time and space. A critical component of this mission to is investigate: 1) the variability of water vapor near the surface as function of land-use type and the vegetation growing cycle, and 2) its influence on the thermodynamic structure of boundary layer.

Land surface conditions (including terrain, soil, land-use, soil moisture, albedo) affect the partition of surface radiation flux into latent and sensible heat flux, which in turn affects the deep convection initiation and development. However, it remains a difficult task to model soil hydrology and vegetation in land surface models, and to treat the transport of water vapor in the boundary layer. To support the IHOP boundary layer mission, a joint observation effort was formed among RAP, MMM, ATD, University of Colorado, Oregon State University, and North Carolina State University research groups. Nine NCAR surface flux stations plus one additional flux station, operated by the University of Colorado were delayed for the IHOP 2002 atmospheric boundary layer mission in the Southern Great Plains during May and June 2002.

These ten flux-tower stations were strategically located along three pre-planned boundary-layer-mission flight tracks (western, central, and eastern flight legs, as seen on Figure 1, and over various land-use types. In addition to the differences in land-use types, the prolonged drought in the Oklahoma panhandle intensified the gradient in surface evaporation between the dry and sparsely-vegetated regions in eastern Kansas.

Figure 1. Location of HOP/NCAR/CU flux-tower stations.

The maximum rainfall accumulation was close to 270 mm at Station 8 and only about 50 mm at Stations 2 and 3 (see Fig. 2). In general, the western leg was drier than the central and eastern leg during the IHOP field experiment. A large variation in rainfall and evaporation was evident at stations located along the same flight leg. Even though the soil was wet at three eastern stations, significant evaporation only occurred after late-May (for Station 9) and mid-June (for Stations 7 and 8). This type of surface evaporation evolution may be largely due to the seasonal variation of vegetation characteristics.

 

Figure 2. Comparison of accumulated rain and surface evaporation measured at stations 1-9. Note that results shown here are based on raw data, which have not been quality controlled.

Figure 3 shows the weekly measurement of leaf area index (LAI) at a wheat site (Station 5) and at a grass site (Station 8). LAI was measured along a transect, which is typically 50 to 100 feet long at each station. The wheat was at its peak growing season at the beginning of the experiment. Grass was dormant at the beginning but experienced a rapid greening process in late May, explaining the late surge of evaporation at Station 8. However, other processes, in addition to rainfall and vegetation greening, may also influence the evolution of surface evaporation and plant transpiration.

 

Figure 3: Leaf area index (LAI) measured at stations 5 and 6. The line represents the averaged along a transect at the station, while the dots represent the standard deviation of these measurements along the transect for a given time.

 

3. Land Surface Model Development for mesoscale weather models

Supported by the Air Force Weather Agency (AFWA), RAP collaborated with NCEP and AFWA to develop and implement an advanced land-surface modeling (LSM) system in the Weather Research and Forecast (WRF) model. .RAP organized a WRF/LSM working group workshop held at NCAR in August 2002 with participants from NCEP, AFWA, NCAR, and universities to define the structure of the unified LSM. The unified LSM includes a multi-layer soil hydrology model, an explicit representation of vegetation, a patchy snow model, and a frozen ground model (see Fig. 4). This unified LSM is being tested at NCEP, AFWA, and NCAR both in uncoupled 1-D mode and in coupled mode with NCEP/Eta and PSU/NCAR MM5 modeling systems. Our goal is to implement the unified LSM in the research versionof WRF by early 2003.

In addition, RAP implemented the following background surface fields in the WRF model: 1) 30-second global USGS 24-category landuse map; 2) 30-second global hybrid (30-sec for CONUS and 5-min elsewhere) to specify the top and bottom soil texture; 3) NESDIS 0.15-deg monthly climatology green vegetation fraction; and 4) 1-deg annual mean air temperature as lower boundary temperature.

 

 

Figure 4. A schematic presentation of the unified Noah land surface model.

4. High resolution land data assimilation system

RAP continued development of a High-Resolution Land Data Assimilation System (HRLDAS) to support application of high-resolution numerical weather prediction models. HRLDAS uses observed hourly precipitation, solar radiation derived from satellite and analyzed surface wind and temperature to force a land-surface model to simulate the evolution of soil moisture. In this system, we use the NCEP/NOAA hourly 4-km rainfall analysis based on NEXRAD and rain gauge observations so that the errors in soil moisture caused by precipitation and radiation bias in coupled modeling systems could be avoided. Figure 5 shows a comparison between HRLDAS soil moisture fields and those measured at two Oklahoma mesonet stations. The HRLDAS reproduced the observed soil moistening and drying cycle reasonably well for this four-months, spanning dormant vegetation growth to rapid vegetation growth.

 

Figure 5. Soil moisture deviation from its 4-month (1 March - 20 June 1998) average. Soil moisture were obtained from HRLDAS (blue line) and Oklahoma Mesonet measurements (red line) at 5 cm and 25 cm soil depths and for two stations (BBOW and KING).

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