A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources

[1]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[2]  Yoav Freund,et al.  Experiments with a New Boosting Algorithm , 1996, ICML.

[3]  G. Mendicino,et al.  Brief communication: Preliminary hydro-meteorological analysis of the flash flood of 20 August 2018 on Raganello Gorge, Southern Italy , 2019 .

[4]  David H. Wolpert,et al.  Stacked generalization , 1992, Neural Networks.

[5]  R. Schapire The Strength of Weak Learnability , 1990, Machine Learning.

[6]  Andrew D. Binns,et al.  A review of gauge–radar merging methods for quantitative precipitation estimation in hydrology , 2016 .

[7]  H. Feidas,et al.  Classification of convective and stratiform rain based on the spectral and textural features of Meteosat Second Generation infrared data , 2013, Theoretical and Applied Climatology.

[8]  Gianluca Bontempi,et al.  When is Undersampling Effective in Unbalanced Classification Tasks? , 2015, ECML/PKDD.

[9]  Dit-Yan Yeung,et al.  Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.

[10]  Shie-Yui Liong,et al.  Rainfall intensity prediction by a spatial-temporal ensemble , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[11]  Optimal Temporal Resolution of Rainfall for Urban Applications and Uncertainty Propagation , 2017 .

[12]  Soltane Ameur,et al.  Rainfall estimation over a Mediterranean region using a method based on various spectral parameters of SEVIRI-MSG , 2013 .

[13]  A. Dégre,et al.  Different methods for spatial interpolation of rainfall data for operational hydrology and hydrological modeling at watershed scale: a review , 2013 .

[14]  M. Lazri,et al.  Instantaneous rainfall estimation using neural network from multispectral observations of SEVIRI radiometer and its application in estimation of daily and monthly rainfall , 2014 .

[15]  Soltane Ameur,et al.  Novel SVM-based technique to improve rainfall estimation over the Mediterranean region (north of Algeria) using the multispectral MSG SEVIRI imagery , 2017 .

[16]  Tim Appelhans,et al.  Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals , 2015 .

[17]  Jörg Bendix,et al.  Discriminating raining from non‐raining cloud areas at mid‐latitudes using meteosat second generation SEVIRI night‐time data , 2008 .

[18]  F. Joseph Turk,et al.  Measuring Precipitation from Space: EURAINSAT and the Future , 2007 .

[19]  Tim Appelhans,et al.  Precipitation Estimates from MSG SEVIRI Daytime, Nighttime, and Twilight Data with Random Forests , 2014 .

[20]  Lee,et al.  Hydrological Modeling Approach Using Radar-Rainfall Ensemble and Multi-Runoff-Model Blending Technique , 2019, Water.

[21]  Francesca Cecinati,et al.  Comparing Approaches to Deal With Non‐Gaussianity of Rainfall Data in Kriging‐Based Radar‐Gauge Rainfall Merging , 2017 .

[22]  Ping-Feng Pai,et al.  A recurrent support vector regression model in rainfall forecasting , 2007 .

[23]  Ramani Duraiswami,et al.  Efficient kriging for real-time spatio-temporal interpolation , 2010 .

[24]  B. Rajagopalan,et al.  A Bayesian kriging approach for blending satellite and ground precipitation observations , 2015 .

[25]  H. Feidas,et al.  Identifying precipitating clouds in Greece using multispectral infrared Meteosat Second Generation satellite data , 2011 .

[26]  H. Feidas,et al.  Validation of an infrared-based satellite algorithm to estimate accumulated rainfall over the Mediterranean basin , 2009 .

[27]  H. Wackernagle,et al.  Multivariate geostatistics: an introduction with applications , 1998 .

[28]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[29]  James E Ball,et al.  MODELING SPATIAL VARIABILITY OF RAINFALL OVER A CATCHMENT , 1998 .

[30]  S. Gabriele,et al.  Geomorphic effects caused by heavy rainfall in southern Calabria (Italy) on 30 October–1 November 2015 , 2017 .

[31]  Wei-Chiang Hong,et al.  Rainfall forecasting by technological machine learning models , 2008, Appl. Math. Comput..

[32]  Janez Demsar,et al.  Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..

[33]  G. Buttafuoco,et al.  Spatial and temporal characterization of climate at regional scale using homogeneous monthly precipitation and air temperature data: an application in Calabria (southern Italy) , 2015 .

[34]  S. Gabriele,et al.  Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy , 2018, Atmospheric Research.

[35]  Mark Mulligan,et al.  Evaluation of Precipitation Estimation Accuracy in Reanalyses, Satellite Products, and an Ensemble Method for Regions in Australia and South and East Asia , 2013 .

[36]  A. Bárdossy,et al.  Use of geostationary meteorological satellite images in convective rain estimation for flash-flood forecasting , 2008 .

[37]  C. Frei,et al.  Ensemble Spatial Precipitation Analysis From Rain Gauge Data: Methodology and Application in the European Alps , 2019, Journal of Geophysical Research: Atmospheres.

[38]  V. Chandrasekar,et al.  A machine learning model for radar rainfall estimation based on gauge observations , 2017, 2017 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM).

[39]  Nathalie Japkowicz,et al.  The Class Imbalance Problem: Significance and Strategies , 2000 .

[40]  Boualem Haddad,et al.  Artificial intelligence systems for rainy areas detection and convective cells' delineation for the south shore of Mediterranean Sea during day and nighttime using MSG satellite images , 2016 .

[41]  H. Mannstein,et al.  Contrail life cycle and properties from 1 year of MSG/SEVIRI rapid-scan images , 2015 .

[42]  Edzer J. Pebesma,et al.  Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network , 2009, Comput. Geosci..

[43]  Frank S. Marzano,et al.  Validation of satellite OPEMW precipitation product with ground-based weather radar and rain gauge networks , 2013 .

[44]  William S. Olson,et al.  Bayesian Estimation of Precipitation from Satellite Passive Microwave Observations Using Combined Radar–Radiometer Retrievals , 2006 .

[45]  Pj Northrop,et al.  Spatial-temporal rainfall fields: modelling and statistical aspects , 2000 .