Estimation of high-resolution surface radiation budget from MODIS data
Shunlin
Liang, University of Maryland, sliang@umd.edu
(Presenting)
Wenhui
Wang, University of Maryland, whwang1@umd.edu
Hye-yun
Kim, University of Maryland, kimhy@umd.edu
Kaicun
Wang, University of Maryland, kcwang@umd.edu
John
Townshend, University of Maryland, jtownshe@geog.umd.edu
Si-Chee
Tsay, NASA/GSFC, si-chee.tsay-1@nasa.gov
Steve
Running, University of Montana, swr@ntsg.umt.edu
Land surface radiative fluxes are needed to address a variety of scientific and application issues related to climate trends, hydrologic and biogeophysical modelling, solar energy applications, and agriculture. The Earth's surface radiation budget (SRB) is the key quantity that determines global climate and climate change from increased greenhouse gases. The SRB is also important to life and to the use of clean renewable solar energy to improve the quality of the environment.
There are several global radiative flux data sets derived from either satellite observations or general circulation model (GCM) reanalysis, which are usually of coarse spatial resolutions (>1°) and fine temporal resolutions. Since almost all of these products focus on radiative fluxes at different atmospheric profiles from surface to the top of the atmosphere (TOA), the surface radiative fluxes do not have the accuracy required for land surface applications.
With NASA funding support, we are developing the algorithms for routinely producing high-resolution SRB components from MODIS, including incident shortwave solar radiation (insolation), shortwave net radiation, longwave downward, upwelling and net radiation, and all-wave net radiation. All sky conditions for shortwave radiation and all-wave net radiation but only clear-sky conditions for longwave radiation products will be considered. Because of two MODIS sensors and the orbit convergence, both instantaneous and daily integrated products can be generated.
In this poster, we will present the algorithms and some preliminary results. Some of them are in the publication process.
'Mapping high-resolution land surface radiative fluxes from MODIS', S. Liang (PI), S. Running, J. Townshend, and S. C. Tsay, NASA
NASA Carbon Cycle & Ecosystems Active Awards Represented by this Poster: