globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-1073-2020
论文题名:
Technical Note: Evaluation of the skill in monthly-to-seasonal soil moisture forecasting based on SMAP satellite observations over the southeastern US
作者: Mazrooei A.; Sankarasubramanian A.; Lakshmi V.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:3
起始页码: 1073
结束页码: 1079
语种: 英语
Scopus关键词: Soil moisture ; Water resources ; Agricultural planning ; Forecasting skill ; Land surface modeling ; Model initialization ; Precipitation forecast ; Satellite observations ; Soil moisture active passive (SMAP) ; Water resources management ; Weather forecasting ; forecasting method ; observational method ; remote sensing ; satellite data ; soil moisture ; United States
英文摘要: Providing accurate soil moisture (SM) conditions is a critical step in model initialization in weather forecasting, agricultural planning, and water resources management. This study develops monthly-to-seasonal (M2S) top layer SM forecasts by forcing 1-to 3-month-ahead precipitation forecasts with Noah3.2 Land Surface Model. The SM forecasts are developed over the southeastern US (SEUS), and the SM forecasting skill is evaluated in comparison with the remotely sensed SM observations collected by the Soil Moisture Active Passive (SMAP) satellite. Our results indicate potential in developing real-time SM forecasts. The retrospective 18-month (April 2015-September 2016) comparison between SM forecasts and the SMAP observations shows statistically significant correlations of 0.62, 0.57, and 0.58 over 1-, 2-, and 3-month lead times respectively. © 2020 Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162772
Appears in Collections:气候变化与战略

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作者单位: Mazrooei, A., Department of Civil Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, United States; Sankarasubramanian, A., Department of Civil Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, United States; Lakshmi, V., Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, United States

Recommended Citation:
Mazrooei A.,Sankarasubramanian A.,Lakshmi V.. Technical Note: Evaluation of the skill in monthly-to-seasonal soil moisture forecasting based on SMAP satellite observations over the southeastern US[J]. Hydrology and Earth System Sciences,2020-01-01,24(3)
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