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Estimation problems in rainfall modeling
Eos, Transactions American Geophysical Union, 1986 A special session entitled “Estimation Problems in Rainfall Modeling” was held during the 1985 AGU Fall Meeting in San Francisco, Calif. The session was chaired by Witold F. Krajewski of the Hydrologic Research Laboratory of the National Weather Service (NWS), Silver Spring, Md. The purpose of the session was to bring together researchers interested in
Witold F. Krajewski +1 more
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Evaluation and Comparison of Precipitation Datasets by Reanalysis and Satellite Models in Different Parts of Iran [PDF]
Water Harvesting ResearchRainfall is a crucial component of the hydrological cycle and plays a key role in water resource planning. Recent research has investigated the use of gridded data as a supplement to and replacement for traditional rain gauge measurements, particularly ...
Ali Gorjizade
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Estimation of missing rainfall data in northeast region of Thailand using spatial interpolation methods [PDF]
, 2011 Ground-based rainfall observations are the primary sources of precipitation data used in most developing countries. However, those observations are frequently damaged or incomplete, thus missing data is always a problem.
Wong, K.W., Fung, C.C., Kajornrit, J.
core
SATELLITE BASED DOWNSCALING ALGORITHM FOR RAINFALL ESTIMATION [PDF]
, 2005 Although rainfall estimates are a key environmental parameter, they are not always available at an appropriate scale and with a sufficient accuracy. Satellite based rainfall estimation methods supply valuable information and their enhancement is a key ...
Bessat, Frédéric +2 more
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Multi-Paradigm Machine Learning for Opportunistic Rainfall Estimation from Satellite Microwave Links
Remote SensingThis study presents a framework for opportunistic rainfall detection and estimation exploiting Signal to Noise Ratio (SNR) data from satellite downlink signals. We develop a heterogeneous ensemble including diverse Machine Learning (ML) architectures for
Luca Marini +4 more
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Measuring Amazon Rainfall Intensity With Sound Recorders
Geophysical Research LettersGround weather observations are scarce in many parts of the globe, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest ...
R. S. Xavier +6 more
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Generation of Rainfall Maps from GK2A Satellite Images Using Deep Learning
Remote SensingAccurate rainfall monitoring is essential for mitigating hydrometeorological disasters and understanding hydrological changes under climate change. This study presents a deep learning-based rainfall estimation framework using multispectral GEO-KOMPSAT-2A
Yerim Lim +4 more
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IEEE Access, 2018 Rainfall estimation based on the impact of rain on electromagnetic waves is a novel methodology that has had notable advancements during the last few years.
Francesco Beritelli +4 more
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A Pilot Study on Design Rainfall Estimation Using Generalised Least Squares Regression
, 2009 Design rainfall intensity-frequency-duration (IFD) data is a basic input to many water related projects. Australian Rainfall and Runoff (ARR) provides guidance for estimating IFD relationship at any location in Australia; however, methods and design data
Rahman, Ataur (R9573) +1 more
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Radar-rainfall estimation algorithms of Hydro-NEXRAD [PDF]
, 2010 Hydro-NEXRAD is a prototype software system that provides hydrology and water resource communities with ready access to the vast data archives of the U.S. weather radar network known as NEXRAD (Next Generation Weather Radar).
Anton Kruger +11 more
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