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 |
卷 | 13 |
期 | 1 |
页 | 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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。