globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2015JD023710
论文题名:
Variational merged of hourly gauge-satellite precipitation in China: Preliminary results
作者: Li H.; Hong Y.; Xie P.; Gao J.; Niu Z.; Kirstetter P.; Yong B.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2015
卷: 120, 期:19
起始页码: 9897
结束页码: 9915
语种: 英语
英文关键词: data-sparse regions ; gauge-satellite ; hourly ; rainfall ; variational
Scopus关键词: accuracy assessment ; atmospheric convection ; data assimilation ; error correction ; experimental study ; NOAA satellite ; precipitation (climatology) ; precipitation intensity ; raingauge ; satellite data ; spatial distribution ; temporal variation ; China
英文摘要: The article describes a variational scheme for the analysis of high-resolution hourly precipitation from China Meteorological Administration gauges and NOAA CMORPH satellite products in China and tests their impact on data-sparse regions and the heavy rainfall occurrences during the summer season (June-August 2009). In the variational scheme, a cost function is defined to measure the distance between analyzed precipitation field and observed rainfall quantity. A recursive filter is incorporated into the cost function which helps spread the observations to nearby grid points. Then a quasi-Newton method is used to solve the optimal estimation problem by minimizing the cost function. The adjoint technique is used to derive the gradient of cost function with respect to analysis precipitation. A series of experiments are performed to intercompare the variational analysis with the original CMORPH satellite products (CMP) and the bias-adjusted satellite products (Adj-CMP) against the observations. The best overall performance is from the variational analysis especially rainfall intensity by more than 10 mm h-1 with a prevailing mean relative spatial bias nearly reduction zero, and the correlation coefficient is almost around 0.5 in convection active areas. Ground cross-validation experiments in which each affected station is withdrawn at once indicated that the variational analysis can particularly be beneficial and subsequent investigation of heavy rainfall events. It also reveals that the precipitation analysis field has the ability to improve the accuracy of rainfall estimation and capture the spatial precipitation pattern agreements in relatively data-sparse regions. ©2015. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63003
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, United States; Department of Hydraulic Engineering, Tsinghua University, Beijing, China; NOAA Climate Prediction Center, Camp Springs, MD, United States; NOAA/National Severe Storm Laboratory, Norman, OK, United States; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China

Recommended Citation:
Li H.,Hong Y.,Xie P.,et al. Variational merged of hourly gauge-satellite precipitation in China: Preliminary results[J]. Journal of Geophysical Research: Atmospheres,2015-01-01,120(19)
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