中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Decadal Trends in Evaporation from Global Energy and Water Balances

文献类型:SCI/SSCI论文

作者Zhang L.; Zhang L.
发表日期2012
关键词system data record surface evapotranspiration climate runoff model variability validation project impact
英文摘要Satellite and gridded meteorological data can be used to estimate evaporation (E) from land surfaces using simple diagnostic models. Two satellite datasets indicate a positive trend (first time derivative) in global available energy from 1983 to 2006, suggesting that positive trends in evaporation may occur in "wet" regions where energy supply limits evaporation. However, decadal trends in evaporation estimated from water balances of 110 wet catchments ((E) over bar (wb)) do not match trends in evaporation estimated using three alternative methods: 1) (E) over bar (MTE), a model-tree ensemble approach that uses statistical relationships between E measured across the global network of flux stations, meteorological drivers, and remotely sensed fraction of absorbed photosynthetically active radiation; 2) (E) over bar (Fu), a Budyko-style hydrometeorological model; and 3) (E) over bar (PML), the Penman-Monteith energy-balance equation coupled with a simple biophysical model for surface conductance. Key model inputs for the estimation of (E) over bar (Fu) and (E) over bar (PML) are remotely sensed radiation and gridded meteorological fields and it is concluded that these data are, as yet, not sufficiently accurate to explain trends in E for wet regions. This provides a significant challenge for satellite-based energy-balance methods. Trends in (E) over bar (wb) for 87 "dry" catchments are strongly correlated to trends in precipitation (R-2 = 0.85). These trends were best captured by (E) over bar (Fu), which explicitly includes precipitation and available energy as model inputs.
出处Journal of Hydrometeorology
13
1
379-391
收录类别SCI
语种英语
ISSN号1525-755X
源URL[http://ir.igsnrr.ac.cn/handle/311030/26685]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Zhang L.,Zhang L.. Decadal Trends in Evaporation from Global Energy and Water Balances. 2012.

入库方式: OAI收割

来源:地理科学与资源研究所

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