Multidimensional evaluation of the TRMM 3B43V7 satellite-based precipitation product in mainland China from 1998–2016
نویسندگان
چکیده
منابع مشابه
Error-Component Analysis of TRMM-Based Multi-Satellite Precipitation Estimates over Mainland China
The Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) products have been widely used, but their error and uncertainty characteristics over diverse climate regimes still need to be quantified. In this study, we focused on a systematic evaluation of TMPA’s error characteristics over mainland China, with an improved error-component analysis procedure. We perf...
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Extended abstract 1- Introduction In order to calculate the erosive power of rainfall, high-resolution precipitation data are necessary for rainfall erosion evaluation. However, collecting the required data on kinetic energy of the rainfall particles and precipitation rates with short-term temporal resolution is a time-intensive task, particularly in developing countries, and the collecte...
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As the successor of the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) mission significantly improves the spatial resolution of precipitation estimates from 0.25 ̋ to 0.1 ̋. The present study analyzed the error structures of Integrated Multisatellite Retrievals for GPM (IMERG) monthly precipitation products over Mainland China from March 2014 to February 20...
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The NASA/JAXA Tropical Rainfall Measuring Mission (TRMM) has been in operation for over 17 years since 1997. The length of TRMM is far shorter than those from ground observations, raising a question as to whether TRMM derived climatology products are good enough for research and applications. In this study, three climatologies derived from a blended product (the TRMM Multi-Satellite Precipitati...
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Data with acceptable gridded resolution of daily climatic variables are critical for hydrological and water resource modeling. The gauge-based interpolation methods usually used by hydrologic models in general do not cover the spatial heterogeneity of the variability of climatic variables in a catchment. The errors in the interpolated data fields have the potential to significantly bias hydrolo...
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ژورنال
عنوان ژورنال: PeerJ
سال: 2020
ISSN: 2167-8359
DOI: 10.7717/peerj.8615