Sensitivity of a weather research and forecasting model to downscaling schemes in ensemble rainfall estimation
Sign Up to like & getrecommendations! Published in 2019 at "Meteorological Applications"
DOI: 10.1002/met.1806
Abstract: Rainfall estimation using the weather research and forecasting (WRF) model is sensitive to physical parameterizations and downscaling configurations. Concerned with the correlations between physical parameterizations and dynamical downscaling, these significant issues were considered simultaneously in… read more here.
Keywords: rainfall estimation; weather research; research forecasting;
Improvement of rainfall estimation from MSG data using Random Forests classification and regression
Sign Up to like & getrecommendations! Published in 2018 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2018.05.001
Abstract: Abstract In this study, a new rainfall estimation technique on 3 h and 24 h scales applied in Northern Algeria is presented. The proposed technique is based on Random Forests (RF) algorithm using data retrieved from Meteosat… read more here.
Keywords: classification; regression; rainfall estimation; random forests ... See more keywords
Rainfall Estimation From TEMPEST-D CubeSat Observations: A Machine-Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3170835
Abstract: In this study, a machine-learning model was used to produce surface rainfall estimates from Temporal Experiment for Storms and Tropical Systems – Demonstration (TEMPEST-D) microwave radiance observations from a CubeSat. The machine-learning model is based… read more here.
Keywords: machine; machine learning; storm; rainfall estimation ... See more keywords
Censored rainfall modelling for estimation of fine-scale extremes
Sign Up to like & getrecommendations! Published in 2017 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-22-727-2018
Abstract: Abstract. Reliable estimation of rainfall extremes is essential for drainage system design, flood mitigation, and risk quantification. However, traditional techniques lack physical realism and extrapolation can be highly uncertain. In this study, we improve the… read more here.
Keywords: estimation; rainfall modelling; censored rainfall; rainfall estimation ... See more keywords