DOI: 10.1002/2013JD020639
论文题名: Monitoring daily evapotranspiration in Northeast Asia using MODIS and a regional Land Data Assimilation System
作者: Jang K. ; Kang S. ; Lim Y.-J. ; Jeong S. ; Kim J. ; Kimball J.S. ; Hong S.Y.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 23 起始页码: 12927
结束页码: 12940
语种: 英语
英文关键词: evapotranspiration
; KLDAS
; MODIS
Scopus关键词: Atmospheric thermodynamics
; Estimation
; Evapotranspiration
; Forestry
; Radiometers
; Remote sensing
; Daily evapotranspirations
; KLDAS
; Land data assimilation systems
; Moderate resolution imaging spectroradiometer
; MODIS
; Remote sensing information
; Root-mean square errors
; Satellite remote sensing
; Satellite imagery
; agricultural land
; algorithm
; data assimilation
; evapotranspiration
; MODIS
; monitoring system
; monsoon
; Northeast Asia
; South Korea
英文摘要: We applied an approach for daily estimation and monitoring of evapotranspiration (ET) over the Northeast Asia monsoon region using satellite remote sensing observations from the Moderate Resolution Imaging Spectroradiometer (MODIS). Frequent cloud cover results in a substantial loss of remote sensing information, limiting the capability of continuous ET monitoring for the monsoon region. Accordingly, we applied and evaluated a stand-alone MODIS ET algorithm for representative regional ecosystem types and an alternative algorithm to facilitate continuous regional ET estimates using surface meteorological inputs from the Korea Land Data Assimilation System (KLDAS) in addition to MODIS land products. The resulting ET calculations showed generally favorable agreement (root-mean-square error < 1.3 mm d -1) with respect to in situ measurements from eight regional flux tower sites. The estimated mean annual ET for 3 years (2006 to 2008) was approximately 362.0 ± 161.5 mm yr-1 over the Northeast Asia domain. In general, the MODIS and KLDAS-based ET (MODIS-KLDAS ET) results showed favorable performance when compared to tower observations, though the results were overestimated for a forest site by approximately 39.5% and underestimated for a cropland site in South Korea by 0.8%. The MODIS-KLDAS ET data were generally underestimated relative to the MODIS (MOD16) operational global terrestrial ET product for various biome types, excluding cropland; however, MODIS-KLDAS ET showed better agreement than MOD16 ET for forest and cropland sites in South Korea. Our results indicate that MODIS ET estimates are feasible but are limited by satellite optical-infrared remote sensing constraints over cloudy regions, whereas alternative ET estimates using continuous meteorological inputs from operational regional climate systems (e.g., KLDAS) provide accurate ET results and continuous monitoring capability under all-sky conditions. Key Points Stand-alone clear-sky ET estimate using MODIS products was implemented at 1 km Cloudy-sky ET was estimated by combining MODIS and Korean LDAS (KLDAS) MODIS-KLDAS ET showed better performance than MOD16 ET in Northeast Asia ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63110
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Environmental Science, Kangwon National University, Chuncheon 200-701, South Korea; Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea; Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, South Korea; Flathead Lake Biological Station, Division of Biological Sciences, University of Montana, Polson MT, United States; Department of Agricultural Environment, National Academy of Agricultural Science, Suwon, South Korea
Recommended Citation:
Jang K.,Kang S.,Lim Y.-J.,et al. Monitoring daily evapotranspiration in Northeast Asia using MODIS and a regional Land Data Assimilation System[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(23)