Published January 23, 2024 | Version v1

ALEXI evapotranspiration product (v10E) at 36 km SMAP grid for CONUS

  • 1. ROR icon National Aeronautics and Space Administration
  • 2. ROR icon Goddard Space Flight Center
  • 3. ROR icon United States Department of Agriculture
  • 4. ROR icon Agricultural Research Service
  • 5. ROR icon Marshall Space Flight Center

Description

The ALEXI surface energy balance model is designed to estimate E for continental to global scale applications (Anderson et al., 2007, 2011). It maintains a physically realistic representation of land-atmosphere exchange over a wide range of landscapes, while being relatively independent of ancillary meteorological or plant functional information. Importantly for the present analysis, it does not require any knowledge of soil moisture conditions. The main diagnostic inputs to the ALEXI model are land surface temperature, net radiation (and its components), leaf area index (to inform partitioning of radiation between soil and canopy), windspeed, and the early morning lapse rate profile. The internal model structure solves the energy balance for the soil and canopy separately. ALEXI uses an atmospheric boundary layer model to translate the change in temperature over the morning hours into a self-consistent boundary layer temperature and to constrain the sensible heat flux. 

The product shared here is regridded from the 4 km CONUS ALEXI E daily product (v10E) for the 2015-2022 period to the coarser 36 km grid of the SMAP data.  In addition, the corresponding downwelling short wave radiation (Rsw), obtained from the Climate Forecast System Reanalysis (Saha et al. 2014) is provided. 

Files

EDAY_ALEXI_V10E_2015_M36_conus.zip

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Additional details

References

  • Anderson, M.C., J. M. Norman, J. R. Mecikalski, J. A. Otkin, and W. P. Kustas, 2007: A climatological study of evapotranspiration and moisture stress across the continental U.S. based on thermal remote sensing: I. Model formulation. J. Geophys. Res., 112, D10117, doi:10.1029/2006JD007506
  • Anderson, M. C., and Co-authors, 2011: Mapping daily evapotranspiration at field to global scales using geostationary and polar orbiting satellite imagery. Hydrology and Earth System Sciences, 15(1), 223– 239, doi:10.5194/hess-15-223-2011
  • Saha, S., and Coauthors, 2014: The NCEP Climate Forecast System Version 2. J. Climate, 27, 2185–2208, doi:10.1175/JCLI-D-12-00823.1.