DOI: 10.5194/hess-18-2899-2014
Scopus记录号: 2-s2.0-84905727976
论文题名: Downscaling of seasonal soil moisture forecasts using satellite data
作者: Schneider S ; , Jann A ; , Schellander-Gorgas T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 8 起始页码: 2899
结束页码: 2905
语种: 英语
Scopus关键词: Geodetic satellites
; Weather forecasting
; Ensemble prediction
; European centre for medium-range weather forecasts
; Forecasting system
; In-situ measurement
; Seasonal forecasts
; Soil water content
; Spatial resolution
; Two-step approach
; Soil moisture
英文摘要: A new approach to downscaling soil moisture forecasts from the seasonal ensemble prediction forecasting system of the ECMWF (European Centre for Medium-Range Weather Forecasts) is presented in this study. Soil moisture forecasts from this system are rarely used nowadays, although they could provide valuable information. Weaknesses of the model soil scheme in forecasting soil water content and the low spatial resolution of the seasonal forecasts are the main reason why soil water information has hardly been used so far. The basic idea to overcome some of these problems is the application of additional information provided by two satellite sensors (ASCAT and Envisat ASAR) to improve the forecast quality, mainly to reduce model bias and increase the spatial resolution. Seasonal forecasts from 2011 and 2012 have been compared to in situ measurement sites in Kenya to test this two-step approach. Results confirm that this downscaling is adding skill to the seasonal forecasts. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78178
Appears in Collections: 气候变化事实与影响
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作者单位: Central Institute for Meteorology and Geodynamics, Vienna, Austria
Recommended Citation:
Schneider S,, Jann A,, Schellander-Gorgas T. Downscaling of seasonal soil moisture forecasts using satellite data[J]. Hydrology and Earth System Sciences,2014-01-01,18(8)