DOI: 10.1002/2015GL064230
论文题名: Imbalanced land surface water budgets in a numerical weather prediction system
作者: Kauffeldt A. ; Halldin S. ; Pappenberger F. ; Wetterhall F. ; Xu C.-Y. ; Cloke H.L.
刊名: Geophysical Research Letters
ISSN: 0094-9123
EISSN: 1944-8854
出版年: 2015
卷: 42, 期: 11 起始页码: 4411
结束页码: 4417
语种: 英语
英文关键词: data assimilation
; precipitation
; reanalysis
; runoff
; water budget
Scopus关键词: Budget control
; Forecasting
; Precipitation (chemical)
; Runoff
; Surface measurement
; Surface waters
; Data assimilation
; European centre for medium-range weather forecasts
; Hydrological variables
; Numerical weather prediction
; Numerical weather prediction models
; Process descriptions
; Reanalysis
; Water budget
; Weather forecasting
英文摘要: There has been a significant increase in the skill and resolution of numerical weather prediction models (NWPs) in recent decades, extending the time scales of useful weather predictions. The land surface models (LSMs) of NWPs are often employed in hydrological applications, which raises the question of how hydrologically representative LSMs really are. In this paper, precipitation (P), evaporation (E), and runoff (R) from the European Centre for Medium-Range Weather Forecasts global models were evaluated against observational products. The forecasts differ substantially from observed data for key hydrological variables. In addition, imbalanced surface water budgets, mostly caused by data assimilation, were found on both global (P-E) and basin scales (P-E-R), with the latter being more important. Modeled surface fluxes should be used with care in hydrological applications, and further improvement in LSMs in terms of process descriptions, resolution, and estimation of uncertainties is needed to accurately describe the land surface water budgets. ©2015. The Authors. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934435190&doi=10.1002%2f2015GL064230&partnerID=40&md5=2701c47806d0f13311633c058bd8f9da
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8739
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Recommended Citation:
Kauffeldt A.,Halldin S.,Pappenberger F.,et al. Imbalanced land surface water budgets in a numerical weather prediction system[J]. Geophysical Research Letters,2015-01-01,42(11).