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2022
An overall appraisal of the status of satellite precipitation observations and ...
Kidd C, Levizzani V
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An overall appraisal of the status of satellite precipitation observations and ...
Kidd C, Levizzani V
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The Potential of Smartlnb Networks for Rainfall Estimation
2018 IEEE Statistical Signal Processing Workshop (SSP), 2018NEFOCAST is a research project that aims at retrieving rainfall fields from channel attenuation measurements on satellite links. Rainfall estimation algorithms rely on the deviation of the measured Es/N0from the clear-sky conditions. Unfortunately, clear-sky measurements exhibit signal fluctuations (due to a variety of causes) which could generate ...
Filippo Giannetti +9 more
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A neural network model for rainfall estimation
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002This paper investigates the use of an artificial neural network (ANN) to estimate the six hour rainfall over the south-east coast of Tasmania. ANNs are becoming increasingly prominent in many areas of weather forecasting due to their potential to capture the complex relationships between the many factors that contribute to certain weather conditions ...
John McCullagh, Kevin Bluff, E. Ebert
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Journal of Hydrology, 1980
Abstract A method for estimating the rainfall effective in generating runoff is presented which is based on the infiltration process. With the use of the known equations which describe the ponding infiltration rate in time, a functional relationship between the cumulative infiltration and the maximum possible infiltration rate is stated.
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Abstract A method for estimating the rainfall effective in generating runoff is presented which is based on the infiltration process. With the use of the known equations which describe the ponding infiltration rate in time, a functional relationship between the cumulative infiltration and the maximum possible infiltration rate is stated.
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Estimating actual rainfall from satellite rainfall products
Atmospheric Research, 2009Abstract The lack of uncertainty measures in operational satellite rainfall (SR) products leads to a situation where users of the SR products know that there are significant errors in the products, but they have no quantitative information about the distribution of these errors.
Jun Yan, Mekonnen Gebremichael
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Effective Rainfall Estimation Methods
Journal of Irrigation and Drainage Engineering, 1990Numerous methods for estimating effective rainfall have been proposed in the past, including: direct measurement techniques; empirical methods; and soil water balance methods.
Avinash S. Patwardhan +2 more
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Rainfall estimation by weather radar
2022This chapter provides an outline of the principles of precipitation estimation by means of weather radar, with a coverage of the main techniques for weather radar observation and of the methods used to generate rainfall products starting from weather radar observables.
Borga M., Marra F., Gabella M.
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Rainfall Estimation from Traffic Cameras
2019We propose and evaluate a method for the estimation of rainfall from images from a network of traffic cameras and rain gauges. The method trains a neural network for each camera under the supervision of the rain gauges and interpolates the results to estimate rainfall at any location.
Remmy A. M. Zen +4 more
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