期刊
JOURNAL OF HYDROMETEOROLOGY
卷 18, 期 6, 页码 1617-1641出版社
AMER METEOROLOGICAL SOC
DOI: 10.1175/JHM-D-16-0168.1
关键词
-
资金
- NOAA/Climate Program Office (CPO) Climate Monitoring and Observations Program [N8R1JRSP00]
- Ocean Climate Observation (OCO) Program
- NOAA United States Weather Research Program (USWRP) Hydrometeorology Testbed (HMT) [K8R1RP5P01]
- NOAA National Environmental Satellite, Data, and Information Service (NESDIS) National Centers for Environmental Information (NCEI) Climate Data Record (CDR) Program
The Climate Prediction Center (CPC) morphing technique (CMORPH) satellite precipitation estimates are reprocessed and bias corrected on an 8 km 3 8 km grid over the globe (608S-608N) and in a 30-min temporal resolution for an 18-yr period from January 1998 to the present to form a climate data record (CDR) of high-resolution global precipitation analysis. First, the purely satellite-basedCMORPH precipitation estimates (raw CMORPH) are reprocessed. The integration algorithmis fixed and the input level 2 passivemicrowave (PMW) retrievals of instantaneous precipitation rates are from identical versions throughout the entire data period. Bias correction is then performed for the raw CMORPH through probability density function (PDF) matching against the CPC daily gauge analysis over land and through adjustment against the Global Precipitation Climatology Project (GPCP) pentad merged analysis of precipitation over ocean. The reprocessed, bias-corrected CMORPH exhibits improved performance in representing the magnitude, spatial distribution patterns, and temporal variations of precipitation over the global domain from 60 degrees S to 60 degrees N. Bias in the CMORPH satellite precipitation estimates is almost completely removed over land during warm seasons (May-September), while during cold seasons (October-April) CMORPH tends to underestimate the precipitation due to the less-thandesirable performance of the current-generation PMW retrievals in detecting and quantifying snowfall and cold season rainfall. An intercomparison study indicated that the reprocessed, bias-corrected CMORPH exhibits consistently superior performance than the widely used TRMM 3B42 (TMPA) in representing both daily and 3-hourly precipitation over the contiguous United States and other global regions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据