Performance of high‐resolution satellite precipitation products over China
Performance of high‐resolution satellite precipitation products over China
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DOI：
10.1029/2009jd012097
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发表时间：
2010-01
影响因子：
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通讯作者：
Yan Shen;A. Xiong;Ying Wang;P. Xie
中科院分区：
文献类型：
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作者：
Yan Shen;A. Xiong;Ying Wang;P. Xie
[1]利用中国气象局国家气象信息中心提供的102000个气象站的雨量资料，对2005 - 2007年中国0.25°经纬度网格上的逐时降水进行了插值分析。基于规范的降水分析，以检查六个高分辨率的卫星降水估计，包括乔伊斯等人的性能。的（2004）气候预测中心变形技术（CMORPH）和CMORPH中使用的微波估计的算术平均值;霍夫曼等人。的（2007）热带降雨测量使命（TRMM）降水产品3B 42及其实时版本3B 42 RT; Turk et al.的（2004）海军研究实验室混合产品;和Hsu et al.（1997）使用人工神经网络从遥感信息估计降水量。结果表明：（1）6种卫星产品都能较好地反映降水的总体空间分布和时间变化;（2）不同地区、不同降水形势下，卫星产品的表现各不相同，但在湿润地区和暖季的比较统计效果较好;（3）完全基于卫星观测的产品存在区域性和季节性变化的偏差，而TRMM 3B 42中应用的规范调整程序几乎完全消除了大尺度偏差;（4）CMORPH在描述降水的空间分布和时间变化方面表现最好;（5）对中国暖季降水的相对大小和位相都有较好的估计，但所有卫星产品都大大低估了与中国中东部梅雨降水相关的清晨峰值。
[1] A gauge-based analysis of hourly precipitation is constructed on a 0.25° latitude/longitude grid over China for a 3 year period from 2005 to 2007 by interpolating gauge reports from ∼2000 stations collected and quality controlled by the National Meteorological Information Center of the China Meteorological Administration. Gauge-based precipitation analysis is applied to examine the performance of six high-resolution satellite precipitation estimates, including Joyce et al.'s (2004) Climate Prediction Center Morphing Technique (CMORPH) and the arithmetic mean of the microwave estimates used in CMORPH; Huffman et al.'s (2007) Tropical Rainfall Measuring Mission (TRMM) precipitation product 3B42 and its real-time version 3B42RT; Turk et al.'s (2004) Naval Research Laboratory blended product; and Hsu et al.'s (1997) Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Network (PERSIANN). Our results showed the following: (1) all six satellite products are capable of capturing the overall spatial distribution and temporal variations of precipitation reasonably well; (2) performance of the satellite products varies for different regions and different precipitation regimes, with better comparison statistics observed over wet regions and for warm seasons; (3) products based solely on satellite observations present regionally and seasonally varying biases, while the gauge-adjustment procedures applied in TRMM 3B42 remove the large-scale bias almost completely; (4) CMORPH exhibits the best performance in depicting the spatial pattern and temporal variations of precipitation; and (5) both the relative magnitude and the phase of the warm season precipitation over China are estimated quite well, but the early morning peak associated with the Mei-Yu rainfall over central eastern China is substantially under-estimated by all satellite products.