Estimating Uncertainties in High-Resolution Satellite Precipitation Products: Systematic or Random Error?
نویسندگان
چکیده
منابع مشابه
Systematic and random error components in satellite precipitation data sets
[1] This study contributes to characterization of satellite precipitation error which is fundamental to develop uncertainty models and bias reduction algorithms. Systematic and random error components of several satellite precipitation products are investigated over different seasons, thresholds and temporal accumulations. The analyses show that the spatial distribution of systematic error has ...
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1 Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor Bahru, Malaysia 2 Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands; E-Mail: [email protected] 3 School of Engineering, Physics and Mathematics, University of Dundee, Dundee DDI 4HN, UK; E-Mail: [email protected] 4 Laboratoire d'Océanograp...
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Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge data over mainland China from December 2006 to November 2010. These products include three satellite-only estimates: the Global Satellite Mappin...
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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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An object-based verification approach is employed to assess the performance of the commonly used high-resolution satellite precipitation products: Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Climate Prediction center MORPHing technique (CMORPH), and Tropical Rainfall Measurement Mission (TRMM) Multi-Satellite Precipitation Analysis (TMP...
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ژورنال
عنوان ژورنال: Journal of Hydrometeorology
سال: 2016
ISSN: 1525-755X,1525-7541
DOI: 10.1175/jhm-d-15-0094.1