Results 1 to 10 of about 79,511 (166)
Accurate estimation of precipitation is critical for hydrological, meteorological, and climate models. This study evaluates the performance of satellite-based precipitation products (SPPs) including Global Precipitation Measurement (GPM)-based Integrated
Khalil Ur Rahman +3 more
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Based on introducing the technical characteristics of FY-3G, which is China's first precipitation measurement satellite and successfully launched at 09∶36 BT on April 16 in 2023, this paper focuses on the precipitation detection capabilities and ...
Songyan GU +16 more
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The State of Precipitation Measurements at Mid-to-High Latitudes
The measurement of global precipitation is important for quantifying and understanding the Earth’s systems. While gauges form the basis of conventional measurements, global measurements are only truly possible using satellite observations.
Lisa Milani, Christopher Kidd
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Climate change research has received increasing attention from both researchers and the public, and the analysis of precipitation is one of the most important topics in this field.
Pengfei Lv, Hongfei Hao, Guocan Wu
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The reliability of satellite precipitation products is important in climatic and hydro-meteorological studies, which is especially true in mountainous regions because of the lack of observations in these areas.
Bikash Nepal +5 more
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In this study, a comprehensive assessment on precipitation estimation from the latest Version 06 release of the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) algorithm is conducted by using 24 rain gauge observations ...
Peng Li +6 more
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This study evaluates the representativeness of two widely used next-generation global satellite precipitation estimates data for short-term precipitation over China, namely the satellite data from the Climate Prediction Center morphing (CMORPH) and the ...
Xiaocheng Wei, Yu Yu, Bo Li, Zijing Liu
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Measurement(s) temperature of air • pressure • volume of hydrological precipitation Technology Type(s) weather station Factor Type(s) digital elevation model (DEM) • topographic wetness index (TWI) • Tropical Rainfall Measuring Mission/Integrated Multi ...
Aleksandar Sekulić +3 more
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Espresso: A Global Deep Learning Model to Estimate Precipitation from Satellite Observations
Estimating precipitation is of critical importance to climate systems and decision-making processes. This paper presents Espresso, a deep learning model designed for estimating precipitation from satellite observations on a global scale.
Léa Berthomier, Laurent Perier
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Validation of GPM Rainfall and Drop Size Distribution Products through Disdrometers in Italy
The high relevance of satellites for collecting information regarding precipitation at global scale implies the need of a continuous validation of satellite products to ensure good data quality over time and to provide feedback for updating and improving
Elisa Adirosi +15 more
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