HR: 0800h
AN: H31H-0764    [Abstracts]
TI: Estimation of Evapotranspiration Supported by MODIS-MM5 Four Dimensional Data Assimilation system
AU: * Jang, K
EM: xjvmguy@kangwon.ac.kr
AF: Kangwon National University, 192-1 Hyoja-dong, Chuncheon, 200-701, Korea, Republic of
AU: Kim, H
EM: kim20026@gmail.com
AF: Kangwon National University, 192-1 Hyoja-dong, Chuncheon, 200-701, Korea, Republic of
AU: Kim, J
EM: Joon-kim@yonsei.ac.kr
AF: Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea, Republic of
AU: Kang, S
EM: Kangsk@kangwon.ac.kr
AF: Kangwon National University, 192-1 Hyoja-dong, Chuncheon, 200-701, Korea, Republic of
AB: Shortwave and net radiations are one of the key terms of the surface energy budget and is vitally important for climate studies and many applications such as agricultural meteorology and air–sea–ice interaction studies. The accurate monitoring of net radiation is a fundamental process in various meteorological and ecological studies including the estimation of evapotranspiration (ET) that is a critical process for the energy and hydrologic partitioning at the land surface. Many methods have been developed, and recently the Moderate Resolution Imaging Spectroradiometer (MODIS) also offers an opportunity to improve regional monitoring of shortwave radiation. However, MODIS has a difficulty in obtaining data in cloudy-sky conditions. In this study, we developed and tested applicability of MODIS-MM5 Four Dimensional Data Assimilation (FDDA) system for continuous estimation of ET. On a clear-sky condition, MODIS was utilized to calculate ET, while MODIS-MM5 FDDA system provides input variables for calculation of ET on a cloudy-sky condition. We evaluated the performance of MODIS- MM5 FDDA system by using meteorological data from 72 national weather stations. The reliability of ET estimates was tested with ET measured at two flux tower sites in Korea. Our preliminary results indicate that the MODIS- MM5 FDDA successfully provide input meteorological data for ET estimation on cloudy-sky days and hence, continuous ET monitoring is enhanced when compared with using MODIS data only.
DE: 1818 Evapotranspiration
DE: 1855 Remote sensing (1640)
DE: 3315 Data assimilation
SC: Hydrology [H]
MN: 2007 Fall Meeting