Results 11 to 20 of about 17,060 (261)
Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation
Atmosphere, 2020 Accurate rainfall detection and estimation are essential for many research and operational applications. Traditional rainfall detection and estimation techniques have achieved considerable success but with limitations.
Kingsley K. Kumah +5 more
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Atmosphere, 2015 Topography is a significant factor influencing the spatial distribution of precipitation. This study developed a new methodology to evaluate and calibrate the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) products by ...
Ting Xia, Zhong-Jing Wang, Hang Zheng
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Short-term forecasting of typhoon rainfall with a deep-learning-based disaster monitoring model
Environmental Data Science, 2023 Accurate and reliable disaster forecasting is vital for saving lives and property. Hence, effective disaster management is necessary to reduce the impact of natural disasters and to accelerate recovery and reconstruction.
Doyi Kim +4 more
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Journal of Integrative Environmental Sciences, 2019 Remotely sensed rainfall plays an important role in providing efficient approaches for global or regional rainfall analysis. However, the accuracy of satellite-based products is mainly affected by the errors in sensor observation and retrieval algorithms,
Qin Jiang +6 more
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Neural networks in satellite rainfall estimation [PDF]
Meteorological Applications, 2004 AbstractNeural networks (NNs) have been successfully used in the environmental sciences over the last two decades. However, only a few review papers have been published, most of which cover image processing, classification, prediction and geophysical retrieval in general, while neglecting rainfall estimation issues.
F. J. Tapiador +3 more
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Evaluation of Satellite Based Rainfall Estimation
IOP Conference Series: Earth and Environmental Science, 2021 Abstract Rainfall is one major source of water supply needed for most human activities encompassing agricultural activities to heavy industries. Therefore, a reliable and up to date approach shall always be required to accurately quantify rainfall precipitation.
Z Mohamad, M Z A Bakar, M Norman
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ASM Science Journal, 2019 This paper presents a scientific review on how Malaysia has benefited from the high-resolution satellite rainfall since its first launch in 1998. As a tropical country in which the environment is highly characterised by rainfall dynamics, public domain ...
Mohd. Rizaludin Mahmud
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Satellite rainfall products outperform ground observations for landslide prediction in India [PDF]
Hydrology and Earth System Sciences, 2021 Landslides are among the most dangerous natural hazards, particularly in developing countries, where ground observations for operative early warning systems are lacking.
M. T. Brunetti +6 more
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Evaluation of Satellite Precipitation Estimates over Australia
Remote Sensing, 2020 This study evaluates the U.S. National Oceanographic and Atmospheric Administration’s (NOAA) Climate Prediction Center morphing technique (CMORPH) and the Japan Aerospace Exploration Agency’s (JAXA) Global Satellite Mapping of Precipitation ...
Zhi-Weng Chua +2 more
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Impact of Radiance Data Assimilation on the Prediction of Heavy Rainfall in RMAPS: A Case Study
Remote Sensing, 2018 Herein, a case study on the impact of assimilating satellite radiance observation data into the rapid-refresh multi-scale analysis and prediction system (RMAPS) is presented.
Yanhui Xie +5 more
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