22.9.6.6 Rainfall Analysis, Rain, Precipitation, Weather Radar

Sy, O.O., Haddad, Z.S., Stephens, G.L., Hristova-Veleva, S.,
Derived Observations From Frequently Sampled Microwave Measurements of Precipitation. Part II: Sensitivity to Atmospheric Variables and Instrument Parameters,
GeoRS(55), No. 5, May 2017, pp. 2898-2912.
IEEE DOI 1705
atmospheric precipitation, remote sensing by radar, Jet Propulsion Laboratory, Ka-band profiling radar, atmospheric variables, condensed-water fluxes, condensed-water mass, reflectivities, sampled microwave measurements, tropical convection, weather systems, Atmospheric measurements, Atmospheric modeling, Clouds, Meteorological radar, Radar measurements, Spaceborne radar, Atmospheric modeling, spaceborne, radar BibRef

Burdanowitz, J.[Jörg], Klepp, C.[Christian], Bakan, S.[Stephan], Buehler, S.A.[Stefan A.],
Simulation of Ship-Track versus Satellite-Sensor Differences in Oceanic Precipitation Using an Island-Based Radar,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Ulloa, J.[Jacinto], Ballari, D.[Daniela], Campozano, L.[Lenin], Samaniego, E.[Esteban],
Two-Step Downscaling of Trmm 3b43 V7 Precipitation in Contrasting Climatic Regions With Sparse Monitoring: The Case of Ecuador in Tropical South America,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Cui, Y.[Yaokui], Zhao, P.[Peng], Yan, B.[Binyan], Xie, H.J.[Hong-Jie], Yu, P.[Pengtao], Wan, W.[Wei], Fan, W.J.[Wen-Jie], Hong, Y.[Yang],
Developing the Remote Sensing-Gash Analytical Model for Estimating Vegetation Rainfall Interception at Very High Resolution: A Case Study in the Heihe River Basin,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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Guimarães, R.F.[Renato Fontes], Machado, W.P.[Wátila Portela], de Carvalho, O.A.[Osmar Abílio], Montgomery, D.R.[David R.], Gomes, R.A.T.[Roberto Arnaldo Trancoso], Greenberg, H.M.[Harvey M.], Cataldi, M.[Márcio], Mendonça, P.C.[Pedro Coutinho],
Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
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Cadeddu, M.P., Marchand, R., Orlandi, E., Turner, D.D., Mech, M.,
Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities,
GeoRS(55), No. 11, November 2017, pp. 6468-6481.
IEEE DOI 1711
Atmospheric modeling, Brightness temperature, Clouds, Microwave measurement, Microwave radiometry, Rain, Scattering, precipitation, retrieval BibRef

Duan, Y.J.[Ya-Juan], Barros, A.P.[Ana P.],
Understanding How Low-Level Clouds and Fog Modify the Diurnal Cycle of Orographic Precipitation Using In Situ and Satellite Observations,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Nash, D.[Deanna], Ye, H.[Hengchun], Fetzer, E.[Eric],
Spatial and Temporal Variability in Winter Precipitation across the Western United States during the Satellite Era,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Pan, X.[Xiaoduo], Li, X.[Xin], Cheng, G.D.[Guo-Dong], Hong, Y.[Yang],
Effects of 4D-Var Data Assimilation Using Remote Sensing Precipitation Products in a WRF Model over the Complex Terrain of an Arid Region River Basin,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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Arvor, D.[Damien], Funatsu, B.M.[Beatriz M.], Michot, V.[Véronique], Dubreuil, V.[Vincent],
Monitoring Rainfall Patterns in the Southern Amazon with PERSIANN-CDR Data: Long-Term Characteristics and Trends,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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And: Addendum: RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Yoshimoto, S.[Shuhei], Amarnath, G.[Giriraj],
Applications of Satellite-Based Rainfall Estimates in Flood Inundation Modeling: A Case Study in Mundeni Aru River Basin, Sri Lanka,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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Tang, G., Yang, P., Stegmann, P.G., Lee Panetta, R., Tsang, L., Johnson, B.,
Effect of Particle Shape, Density, and Inhomogeneity on the Microwave Optical Properties of Graupel and Hailstones,
GeoRS(55), No. 11, November 2017, pp. 6366-6378.
IEEE DOI 1711
Atmospheric measurements, Density measurement, Ice, Mathematical model, Nonhomogeneous media, Particle measurements, Shape, Bicontinuous medium, effective medium, graupel, hailstone, inhomogeneity, remote, sensing BibRef

Gabella, M.[Marco], Speirs, P.[Peter], Hamann, U.[Ulrich], Germann, U.[Urs], Berne, A.[Alexis],
Measurement of Precipitation in the Alps Using Dual-Polarization C-Band Ground-Based Radars, the GPM Spaceborne Ku-Band Radar, and Rain Gauges,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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He, Y.X.[Yu-Xiang], Zhang, Y.[Yu], Kuligowski, R.[Robert], Cifelli, R.[Robert], Kitzmiller, D.[David],
Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Zhang, Y.Y.[Yue-Yuan], Li, Y.G.[Yun-Gang], Ji, X.[Xuan], Luo, X.[Xian], Li, X.[Xue],
Fine-Resolution Precipitation Mapping in a Mountainous Watershed: Geostatistical Downscaling of TRMM Products Based on Environmental Variables,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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Arslan, C.H., Aydin, K., Urbina, J.V., Dyrud, L.,
Satellite-Link Attenuation Measurement Technique for Estimating Rainfall Accumulation,
GeoRS(56), No. 2, February 2018, pp. 681-693.
IEEE DOI 1802
Doppler radar, attenuation measurement, geophysical signal processing, meteorological radar, rainfall estimation BibRef

Shen, Y.[Yan], Hong, Z.[Zhen], Pan, Y.[Yang], Yu, J.J.[Jing-Jing], Maguire, L.[Lane],
China's 1 km Merged Gauge, Radar and Satellite Experimental Precipitation Dataset,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Militino, A.F.[Ana F.], Ugarte, M.D.[M. Dolores], Pérez-Goya, U.[Unai],
Improving the Quality of Satellite Imagery Based on Ground-Truth Data from Rain Gauge Stations,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Alahacoon, N.[Niranga], Matheswaran, K.[Karthikeyan], Pani, P.[Peejush], Amarnath, G.[Giriraj],
A Decadal Historical Satellite Data and Rainfall Trend Analysis (2001-2016) for Flood Hazard Mapping in Sri Lanka,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Maitra, A., Chakraborty, R.,
Prediction of Rain Occurrence and Accumulation Using Multifrequency Radiometric Observations,
GeoRS(56), No. 5, May 2018, pp. 2789-2797.
IEEE DOI 1805
Liquids, Microwave radiometry, Microwave theory and techniques, Radiometers, Rain, Spaceborne radar, Temperature measurement, prediction algorithm BibRef

Muhammad, W.[Waseem], Yang, H.[Hanbo], Lei, H.M.[Hui-Min], Muhammad, A.[Ajmal], Yang, D.[Dawen],
Improving the Regional Applicability of Satellite Precipitation Products by Ensemble Algorithm,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Zhang, X.X.[Xin-Xuan], Anagnostou, E.N.[Emmanouil N.], Schwartz, C.S.[Craig S.],
NWP-Based Adjustment of IMERG Precipitation for Flood-Inducing Complex Terrain Storms: Evaluation over CONUS,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Tapiador, F.J.[Francisco J.], Marcos, C.[Cecilia], Navarro, A.[Andres], Jiménez-Alcázar, A.[Alfonso], Galdón, R.M.[Raul Moreno], Sanz, J.[Julia],
Decorrelation of Satellite Precipitation Estimates in Space and Time,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Cattani, E.[Elsa], Merino, A.[Andrés], Guijarro, J.A.[José A.], Levizzani, V.[Vincenzo],
East Africa Rainfall Trends and Variability 1983-2015 Using Three Long-Term Satellite Products,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Beusch, L.[Lea], Foresti, L.[Loris], Gabella, M.[Marco], Hamann, U.[Ulrich],
Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Ghada, W.[Wael], Buras, A.[Allan], Lüpke, M.[Marvin], Schunk, C.[Christian], Menzel, A.[Annette],
Rain Microstructure Parameters Vary with Large-Scale Weather Conditions in Lausanne, Switzerland,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Durden, S.L.,
Relating GPM Radar Reflectivity Profile Characteristics to Path-Integrated Attenuation,
GeoRS(56), No. 7, July 2018, pp. 4065-4074.
IEEE DOI 1807
geophysical signal processing, meteorological radar, rain, remote sensing by radar, AD 2014 02, GPM DPR retrieval algorithm, remote sensing BibRef

Tomás, S., Padullés, R., Cardellach, E.,
Separability of Systematic Effects in Polarimetric GNSS Radio Occultations for Precipitation Sensing,
GeoRS(56), No. 8, August 2018, pp. 4633-4649.
IEEE DOI 1808
atmospheric techniques, rain, remote sensing, satellite navigation, systematic effects, polarimetric GNSS radio occultations, rainfall effects BibRef

Cánovas-García, F.[Fulgencio], García-Galiano, S.[Sandra], Alonso-Sarría, F.[Francisco],
Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Lolli, S.[Simone], d'Adderio, L.P.[Leo Pio], Campbell, J.R.[James R.], Sicard, M.[Michaël], Welton, E.J.[Ellsworth J.], Binci, A.[Andrea], Rea, A.[Alessandro], Tokay, A.[Ali], Comerón, A.[Adolfo], Barragan, R.[Ruben], Baldasano, J.M.[Jose Maria], Gonzalez, S.[Sergi], Bech, J.[Joan], Afflitto, N.[Nicola], Lewis, J.R.[Jasper R.], Madonna, F.[Fabio],
Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Sanò, P.[Paolo], Panegrossi, G.[Giulia], Casella, D.[Daniele], Marra, A.C.[Anna C.], d'Adderio, L.P.[Leo P.], Rysman, J.F.[Jean F.], Dietrich, S.[Stefano],
The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Kimani, M.W.[Margaret Wambui], Hoedjes, J.C.B.[Joost C. B.], Su, Z.B.[Zhong-Bo],
Bayesian Bias Correction of Satellite Rainfall Estimates for Climate Studies,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Anagnostou, M.N.[Marios N.], Nikolopoulos, E.I.[Efthymios I.], Kalogiros, J.[John], Anagnostou, E.N.[Emmanouil N.], Marra, F.[Francesco], Mair, E.[Elisabeth], Bertoldi, G.[Giacomo], Tappeiner, U.[Ulrike], Borga, M.[Marco],
Advancing Precipitation Estimation and Streamflow Simulations in Complex Terrain with X-Band Dual-Polarization Radar Observations,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Tapiador, F.J.[Francisco J.], Navarro, A.[Andrés], Marcos, C.[Cecilia], Moreno, R.[Raúl],
Estimates of the Change in the Oceanic Precipitation Off the Coast of Europe due to Increasing Greenhouse Gas Emissions,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Tang, Y., Yang, X., Zhang, W., Zhang, G.,
Radar and Rain Gauge Merging-Based Precipitation Estimation via Geographical-Temporal Attention Continuous Conditional Random Field,
GeoRS(56), No. 9, September 2018, pp. 5558-5571.
IEEE DOI 1809
Estimation, Rain, Correlation, Radar measurements, Merging, Spatiotemporal phenomena, spatiotemporal correlation BibRef

Wen, G.[Guang], Chen, H.[Haonan], Zhang, G.[Guifu], Sun, J.M.[Ji-Ming],
An Inverse Model for Raindrop Size Distribution Retrieval with Polarimetric Variables,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Satgé, F.[Frédéric], Hussain, Y.[Yawar], Bonnet, M.P.[Marie-Paule], Hussain, B.M.[Babar M.], Martinez-Carvajal, H.[Hernan], Akhter, G.[Gulraiz], Uagoda, R.[Rogério],
Benefits of the Successive GPM Based Satellite Precipitation Estimates IMERG-V03, -V04, -V05 and GSMaP-V06, -V07 Over Diverse Geomorphic and Meteorological Regions of Pakistan,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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Xie, Y.H.[Yan-Hui], Shi, J.C.[Jian-Cheng], Fan, S.[Shuiyong], Chen, M.[Min], Dou, Y.[Youjun], Ji, D.[Dabin],
Impact of Radiance Data Assimilation on the Prediction of Heavy Rainfall in RMAPS: A Case Study,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Behrangi, A.[Ali], Richardson, M.[Mark],
Observed High-Latitude Precipitation Amount and Pattern and CMIP5 Model Projections,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Gazit, L., Messer, H.,
Sufficient Conditions for Reconstructing 2-D Rainfall Maps,
GeoRS(56), No. 11, November 2018, pp. 6334-6343.
IEEE DOI 1811
Rain, Attenuation, Microwave measurement, Topology, Attenuation measurement, Microwave communication, sparse reconstruction BibRef

Singh, R., Acharya, R.,
Development of a New Global Model for Estimating One-Minute Rainfall Rate,
GeoRS(56), No. 11, November 2018, pp. 6462-6468.
IEEE DOI 1811
Rain, Chirp, Data models, Genetic algorithms, Spatial resolution, Databases, Earth-space microwave links, genetic algorithm, rain fade BibRef

Ricciardelli, E.[Elisabetta], Di Paola, F.[Francesco], Gentile, S.[Sabrina], Cersosimo, A.[Angela], Cimini, D.[Domenico], Gallucci, D.[Donatello], Geraldi, E.[Edoardo], Larosa, S.[Salvatore], Nilo, S.T.[Saverio Teodosio], Ripepi, E.[Ermann], Romano, F.[Filomena], Viggiano, M.[Mariassunta],
Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Kikuchi, H., Ushio, T., Mizutani, F., Wada, M.,
Improving the Accuracy of Rain Rate Estimates Using X-Band Phased-Array Weather Radar Network,
GeoRS(56), No. 12, December 2018, pp. 6986-6994.
IEEE DOI 1812
Rain, Estimation, Attenuation, Radar polarimetry, Radar remote sensing, Meteorological radar, Phased-array radar, remote sensing BibRef

Rahman, K.U.[Khalil Ur], Shang, S.[Songhao], Shahid, M.[Muhammad], Li, J.[Jiang],
Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Zhang, R.Y.[Ruan-Yu], Wang, Z.Z.[Zhen-Zhan], Hilburn, K.A.[Kyle A.],
Tropical Cyclone Rainfall Estimates from FY-3B MWRI Brightness Temperatures Using the WS Algorithm,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Cersosimo, A.[Angela], Larosa, S.[Salvatore], Romano, F.[Filomena], Cimini, D.[Domenico], Di Paola, F.[Francesco], Gallucci, D.[Donatello], Gentile, S.[Sabrina], Geraldi, E.[Edoardo], Nilo, S.T.[Saverio Teodosio], Ricciardelli, E.[Elisabetta], Ripepi, E.[Ermann], Viggiano, M.[Mariassunta],
Downscaling of Satellite OPEMW Surface Rain Intensity Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Yuan, F.[Feng], Lee, Y.H.[Yee Hui], Meng, Y.S.[Yu Song], Ong, J.T.[Jin Teong],
Characterization of S-Band Dual-Polarized Radar Data for the Convective Rain Melting Layer Detection in A Tropical Region,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

He, K.[Kang], Ma, Z.Q.[Zi-Qiang], Zhao, R.[Ruiying], Biswas, A.[Asim], Teng, H.[Hongfen], Xu, J.F.[Jun-Feng], Yu, W.[Wu], Shi, Z.[Zhou],
A Methodological Framework to Retrospectively Obtain Downscaled Precipitation Estimates over the Tibetan Plateau,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Aboutalebi, M.[Mahyar], Torres-Rua, A.F.[Alfonso F.], Allen, N.[Niel],
Spatial and Temporal Analysis of Precipitation and Effective Rainfall Using Gauge Observations, Satellite, and Gridded Climate Data for Agricultural Water Management in the Upper Colorado River Basin,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Tapiador, F.J.[Francisco J.], Moreno, R.[Raúl], Navarro, A.[Andrés], Jiménez, A.[Alfonso], Arias, E.[Enrique], Cazorla, D.[Diego],
Variability of Microwave Scattering in a Stochastic Ensemble of Measured Rain Drops,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Moreira, A.[Andreise], Fontana, D.C.[Denise Cybis], Kuplich, T.M.[Tatiana Mora],
Wavelet approach applied to EVI/MODIS time series and meteorological data,
PandRS(147), 2019, pp. 335-344.
Elsevier DOI 1901
Vegetation index, Grasslands, Wavelet transform, Wavelet coherence, Rainfall, Air temperature BibRef

Li, N.[Nan], Wang, Z.[Zhenhui], Chen, X.[Xi], Austin, G.[Geoffrey],
Studies of General Precipitation Features with TRMM PR Data: An Extensive Overview,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
Survey, Precipitation. BibRef

Gou, Y.[Yabin], Ma, Y.Z.[Ying-Zhao], Chen, H.[Haonan], Yin, J.P.[Jia-Peng],
Utilization of a C-band Polarimetric Radar for Severe Rainfall Event Analysis in Complex Terrain over Eastern China,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Zhao, G.S.[Guang-Shuai], Liu, M.[Min], Shi, P.[Peili], Zong, N.[Ning], Wang, J.S.[Jing-Sheng], Wu, J.S.[Jian-Shuang], Zhang, X.Z.[Xian-Zhou],
Spatial-Temporal Variation of ANPP and Rain-Use Efficiency Along a Precipitation Gradient on Changtang Plateau, Tibet,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhang, D.[Dan], Liu, X.M.[Xiao-Mang], Bai, P.[Peng], Li, X.H.[Xiang-Hu],
Suitability of Satellite-Based Precipitation Products for Water Balance Simulations Using Multiple Observations in a Humid Catchment,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Santos, C.A.G.[Celso Augusto Guimarães], Neto, R.M.B.[Reginaldo Moura Brasil], da Silva, R.M.[Richarde Marques], Costa, S.G.F.[Samir Gonçalves Fernandes],
Cluster Analysis Applied to Spatiotemporal Variability of Monthly Precipitation over Paraíba State Using Tropical Rainfall Measuring Mission (TRMM) Data,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Tapiador, F.J.[Francisco J.], Marcos, C.[Cecilia], Sancho, J.M.[Juan Manuel],
The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second-Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Mazzoglio, P.[Paola], Laio, F.[Francesco], Balbo, S.[Simone], Boccardo, P.[Piero], Disabato, F.[Franca],
Improving an Extreme Rainfall Detection System with GPM IMERG data,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zhang, A.[Asi], Hu, J.[Junjun], Chen, S.[Sheng], Hu, D.M.[Dong-Ming], Liang, Z.[Zhenqing], Huang, C.[Chaoying], Xiao, L.[Liusi], Min, C.[Chao], Li, H.[Haowen],
Statistical Characteristics of Raindrop Size Distribution in the Monsoon Season Observed in Southern China,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, L.[Lei], Chen, R.S.[Ren-Sheng], Han, C.[Chuntan], Yang, Y.[Yong], Liu, J.F.[Jun-Feng], Liu, Z.[Zhangwen], Wang, X.[Xiqiang], Liu, G.[Guohua], Guo, S.H.[Shu-Hai],
An Improved Spatial-Temporal Downscaling Method for TRMM Precipitation Datasets in Alpine Regions: A Case Study in Northwestern China's Qilian Mountains,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Mega, T., Ushio, T., Takahiro, M., Kubota, T., Kachi, M., Oki, R.,
Gauge-Adjusted Global Satellite Mapping of Precipitation,
GeoRS(57), No. 4, April 2019, pp. 1928-1935.
IEEE DOI 1904
hydrological techniques, hydrology, rain, remote sensing by radar, Gauge-adjusted Global satellite mapping, spaceborne radar BibRef

Dong, H., Zou, X.,
Striping Noise Mitigation for Tropical Rainfall Measuring Mission Microwave Imager Observations,
GeoRS(57), No. 4, April 2019, pp. 2449-2463.
IEEE DOI 1904
atmospheric techniques, environmental monitoring (geophysics), feature extraction, geophysical signal processing, rain, Tropical Rainfall Measuring Mission Microwave Imager (TMI) BibRef

Wang, Y.B.[Yuan-Bing], Chen, Y.D.[Yao-Deng], Min, J.Z.[Jin-Zhong],
Impact of Assimilating China Precipitation Analysis Data Merging with Remote Sensing Products Using the 4DVar Method on the Prediction of Heavy Rainfall,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Min, M., Bai, C., Guo, J., Sun, F., Liu, C., Wang, F., Xu, H., Tang, S., Li, B., Di, D., Dong, L., Li, J.,
Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning,
GeoRS(57), No. 5, May 2019, pp. 2557-2570.
IEEE DOI 1905
atmospheric techniques, learning (artificial intelligence), rain, weather forecasting, advanced machine learning method, random forests (RFs) BibRef

Yin, J., Unal, C., Russchenberg, H.,
Object-Orientated Filter Design in Spectral Domain for Polarimetric Weather Radar,
GeoRS(57), No. 5, May 2019, pp. 2725-2740.
IEEE DOI 1905
atmospheric techniques, computational complexity, Doppler radar, geophysical signal processing, mathematical morphology, weak precipitation signal BibRef

Gonzalez, S.[Sergi], Bech, J.[Joan], Udina, M.[Mireia], Codina, B.[Bernat], Paci, A.[Alexandre], Trapero, L.[Laura],
Decoupling between Precipitation Processes and Mountain Wave Induced Circulations Observed with a Vertically Pointing K-Band Doppler Radar,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Bhardwaj, A.[Amit], Misra, V.[Vasubandhu],
Monitoring the Indian Summer Monsoon Evolution at the Granularity of the Indian Meteorological Sub-divisions using Remotely Sensed Rainfall Products,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Ringerud, S., Kulie, M.S., Randel, D.L., Skofronick-Jackson, G.M., Kummerow, C.D.,
Effects of Ice Particle Representation on Passive Microwave Precipitation Retrieval in a Bayesian Scheme,
GeoRS(57), No. 6, June 2019, pp. 3619-3632.
IEEE DOI 1906
Databases, Ice, Microwave radiometry, Microwave FET integrated circuits, remote sensing BibRef

Ma, Q.M.[Qiu-Mei], Xiong, L.H.[Li-Hua], Xia, J.[Jun], Xiong, B.[Bin], Yang, H.[Han], Xu, C.Y.[Chong-Yu],
A Censored Shifted Mixture Distribution Mapping Method to Correct the Bias of Daily IMERG Satellite Precipitation Estimates,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Ji, L.[Lei], Chen, H.[Haonan], Li, L.[Lin], Chen, B.[Baojun], Xiao, X.[Xian], Chen, M.[Min], Zhang, G.[Guifu],
Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Skripniková, K.[Katerina], Rezácová, D.[Daniela],
Comparison of Radar-Based Hail Detection Using Single- and Dual-Polarization,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Shen, X., Huang, D.D., Song, B., Vincent, C., Togneri, R.,
3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites: Principle and Simulation Results,
GeoRS(57), No. 8, August 2019, pp. 5434-5446.
IEEE DOI 1908
atmospheric techniques, geophysics computing, microwave links, rain, signal reconstruction, 3-D tomographic reconstruction, signal-to-noise ratio (SNR) estimation BibRef

Orellana-Alvear, J.[Johanna], Célleri, R.[Rolando], Rollenbeck, R.[Rütger], Bendix, J.[Jörg],
Optimization of X-Band Radar Rainfall Retrieval in the Southern Andes of Ecuador Using a Random Forest Model,
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DOI Link 1908
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Watters, D.[Daniel], Battaglia, A.[Alessandro],
The Summertime Diurnal Cycle of Precipitation Derived from IMERG,
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Kanemaru, K., Kubota, T., Iguchi, T.,
Improvements in the Beam-Mismatch Correction of Precipitation Radar Data After the TRMM Orbit Boost,
GeoRS(57), No. 9, September 2019, pp. 7161-7169.
IEEE DOI 1909
Orbits, Spaceborne radar, Extraterrestrial measurements, Degradation, Satellites, Radar measurements, Algorithm, tropical rainfall measuring mission (TRMM) BibRef

Xue, Q.M.[Qiu-Meng], Guan, L.[Li],
Identification of Sun Glint Contamination in GMI Measurements Over the Global Ocean,
GeoRS(57), No. 9, September 2019, pp. 6473-6483.
IEEE DOI 1909
Global Precipitation Measurement Microwave Imager. Sun, Microwave radiometry, Ocean temperature, Microwave imaging, Microwave measurement, Sea surface, sun glint angle BibRef

Chen, G.[Gang], Zhao, K.[Kun], Wen, L.[Long], Wang, M.Y.[Meng-Yao], Huang, H.[Hao], Wang, M.J.[Ming-Jun], Yang, Z.W.[Zheng-Wei], Zhang, G.F.[Gui-Fu], Zhang, P.F.[Peng-Fei], Lee, W.C.[Wen-Chau],
Microphysical Characteristics of Three Convective Events with Intense Rainfall Observed by Polarimetric Radar and Disdrometer in Eastern China,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
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Hayatbini, N.[Negin], Kong, B.[Bailey], Hsu, K.L.[Kuo-Lin], Nguyen, P.[Phu], Sorooshian, S.[Soroosh], Stephens, G.[Graeme], Fowlkes, C.C.[Charless C.], Nemani, R.[Ramakrishna], Ganguly, S.[Sangram],
Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries: PERSIANN-cGAN,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Yang, Z.[Zhida], Liu, P.[Peng], Yang, Y.[Yi],
Convective/Stratiform Precipitation Classification Using Ground-Based Doppler Radar Data Based on the K-Nearest Neighbor Algorithm,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Levizzani, V.[Vincenzo], Cattani, E.[Elsa],
Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Kolbe, C.[Christine], Thies, B.[Boris], Egli, S.[Sebastian], Lehnert, L.[Lukas], Schulz, H.M.[Hans Martin], Bendix, J.[Jörg],
Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit: Part 1: Precipitation Area Delineation with Elektro-L2 and Insat-3D,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Kolbe, C.[Christine], Thies, B.[Boris], Turini, N.[Nazli], Liu, Z.[Zhiyu], Bendix, J.[Jörg],
Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit: Part 2: Precipitation Rates with Elektro-L2 and Insat-3D,
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Gou, Y.[Yabin], Chen, H.[Haonan], Zheng, J.[Jiafeng],
Polarimetric Radar Signatures and Performance of Various Radar Rainfall Estimators during an Extreme Precipitation Event over the Thousand-Island Lake Area in Eastern China,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Lagasio, M.[Martina], Parodi, A.[Antonio], Pulvirenti, L.[Luca], Meroni, A.N.[Agostino N.], Boni, G.[Giorgio], Pierdicca, N.[Nazzareno], Marzano, F.S.[Frank S.], Luini, L.[Lorenzo], Venuti, G.[Giovanna], Realini, E.[Eugenio], Gatti, A.[Andrea], Tagliaferro, G.[Giulio], Barindelli, S.[Stefano], Guarnieri, A.M.[Andrea Monti], Goga, K.[Klodiana], Terzo, O.[Olivier], Rucci, A.[Alessio], Passera, E.[Emanuele], Kranzlmueller, D.[Dieter], Rommen, B.[Bjorn],
A Synergistic Use of a High-Resolution Numerical Weather Prediction Model and High-Resolution Earth Observation Products to Improve Precipitation Forecast,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Belabid, N.[Nasreddine], Zhao, F.[Feng], Brocca, L.[Luca], Huang, Y.B.[Yan-Bo], Tan, Y.M.[Yu-Min],
Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
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Kumar, A.[Ashish], Ramsankaran, R.[Raaj], Brocca, L.[Luca], Munoz-Arriola, F.[Francisco],
A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture,
RS(11), No. 19, 2019, pp. xx-yy.
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Turini, N.[Nazli], Thies, B.[Boris], Bendix, J.[Joerg],
Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran,
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An, H.[Hao], Yan, W.[Wei], Bian, S.S.[Shuang-Shuang], Ma, S.[Shuo],
Rain Monitoring with Polarimetric GNSS Signals: Ground-Based Experimental Research,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Liu, Q.[Qian], Li, Y.[Yun], Yu, M.Z.[Man-Zhu], Chiu, L.S.[Long S.], Hao, X.J.[Xian-Jun], Duffy, D.Q.[Daniel Q.], Yang, C.W.[Chao-Wei],
Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Moraux, A.[Arthur], Dewitte, S.[Steven], Cornelis, B.[Bruno], Munteanu, A.[Adrian],
Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Wu, J.P.[Jian-Ping], Liu, L.Y.[Li-Yang], Sun, C.H.[Cai-Hong], Su, Y.X.[Yong-Xian], Wang, C.J.[Chang-Jian], Yang, J.[Ji], Liao, J.Y.[Jia-Yuan], He, X.L.[Xiao-Lei], Li, Q.[Qian], Zhang, C.Q.[Chao-Qun], Zhang, H.O.[Hong-Ou],
Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Le Coz, C.[Camille], Heemink, A.[Arnold], Verlaan, M.[Martin], ten Veldhuis, M.C.[Marie-Claire], van de Giesen, N.[Nick],
Correcting Position Error in Precipitation Data Using Image Morphing,
RS(11), No. 21, 2019, pp. xx-yy.
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Manandhar, S., Dev, S., Lee, Y.H., Meng, Y.S., Winkler, S.,
A Data-Driven Approach for Accurate Rainfall Prediction,
GeoRS(57), No. 11, November 2019, pp. 9323-9331.
IEEE DOI 1911
Global Positioning System, Delays, Rain, Mathematical model, Support vector machines, Numerical models, Machine learning, remote sensing BibRef

Hsieh, C., Chi, P., Chen, C., Weng, C., Wang, L.,
Automatic Precipitation Measurement Based on Raindrop Imaging and Artificial Intelligence,
GeoRS(57), No. 12, December 2019, pp. 10276-10284.
IEEE DOI 1912
Trajectory, Atmospheric measurements, Cameras, Particle measurements, Feature extraction, Monitoring, Estimation, Rainfall rate BibRef

Pullman, M., Gurung, I., Maskey, M., Ramachandran, R., Christopher, S.A.,
Applying Deep Learning to Hail Detection: A Case Study,
GeoRS(57), No. 12, December 2019, pp. 10218-10225.
IEEE DOI 1912
Deep learning, Storms, Weather forecasting, Satellites, Spaceborne radar, Artificial intelligence, event detection, neural networks BibRef

Fan, D.[Dong], Wu, H.[Hua], Dong, G.[Guotao], Jiang, X.G.[Xiao-Guang], Xue, H.[Huazhu],
A Temporal Disaggregation Approach for TRMM Monthly Precipitation Products Using AMSR2 Soil Moisture Data,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Zeng, H.W.[Hong-Wei], Wu, B.[Bingfang], Zhang, N.[Ning], Tian, F.[Fuyou], Phiri, E.[Elijah], Musakwa, W.[Walter], Zhang, M.[Miao], Zhu, L.[Liang], Mashonjowa, E.[Emmanuel],
Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Seidel, J.[Jochen], Trachte, K.[Katja], Orellana-Alvear, J.[Johanna], Figueroa, R.[Rafael], Célleri, R.[Rolando], Bendix, J.[Jörg], Fernandez, C.[Ciro], Huggel, C.[Christian],
Precipitation Characteristics at Two Locations in the Tropical Andes by Means of Vertically Pointing Micro-Rain Radar Observations,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Zheng, J.F.[Jia-Feng], Liu, L.P.[Li-Ping], Chen, H.[Haonan], Gou, Y.[Yabin], Che, Y.Z.[Yu-Zhang], Xu, H.[Haolin], Li, Q.[Qian],
Characteristics of Warm Clouds and Precipitation in South China during the Pre-Flood Season Using Datasets from a Cloud Radar, a Ceilometer, and a Disdrometer,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Ebtehaj, A., Kummerow, C.D., Turk, F.J.,
Metric Learning for Approximation of Microwave Channel Error Covariance: Application for Satellite Retrieval of Drizzle and Light Snowfall,
GeoRS(58), No. 2, February 2020, pp. 903-912.
IEEE DOI 2001
Ocean temperature, Brightness temperature, Sea surface, Bayes methods, Microwave radiometry, Channel error covariance, satellite snowfall detection BibRef

Chen, H., Chandrasekar, V., Cifelli, R., Xie, P.,
A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations,
GeoRS(58), No. 2, February 2020, pp. 982-994.
IEEE DOI 2001
Satellites, Spaceborne radar, Meteorology, Extraterrestrial measurements, Sea measurements, satellite observations BibRef

Lolli, S.[Simone], Vivone, G.[Gemine], Lewis, J.R.[Jasper R.], Sicard, M.[Michaël], Welton, E.J.[Ellsworth J.], Campbell, J.R.[James R.], Comerón, A.[Adolfo], d'Adderio, L.P.[Leo Pio], Tokay, A.[Ali], Giunta, A.[Aldo], Pappalardo, G.[Gelsomina],
Overview of the New Version 3 NASA Micro-Pulse Lidar Network (MPLNET) Automatic Precipitation Detection Algorithm,
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DOI Link 2001
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Lu, D.[Dekai], Yong, B.[Bin],
A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Lanfredi, M.[Maria], Coluzzi, R.[Rosa], Imbrenda, V.[Vito], Macchiato, M.[Maria], Simoniello, T.[Tiziana],
Analyzing Space-Time Coherence in Precipitation Seasonality across Different European Climates,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Lu, S.[Sha], ten Veldhuis, M.C.[Marie-Claire], van de Giesen, N.[Nick], Heemink, A.[Arnold], Verlaan, M.[Martin],
Precipitation Regime Classification Based on Cloud-Top Temperature Time Series for Spatially-Varied Parameterization of Precipitation Models,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
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Giannaros, C.[Christos], Kotroni, V.[Vassiliki], Lagouvardos, K.[Konstantinos], Giannaros, T.M.[Theodore M.], Pikridas, C.[Christos],
Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Chen, M.Y.[Meng-Ye], Nabih, S.[Soumaya], Brauer, N.S.[Noah S.], Gao, S.[Shang], Gourley, J.J.[Jonathan J.], Hong, Z.[Zhen], Kolar, R.L.[Randall L.], Hong, Y.[Yang],
Can Remote Sensing Technologies Capture the Extreme Precipitation Event and Its Cascading Hydrological Response? A Case Study of Hurricane Harvey Using EF5 Modeling Framework,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Lu, X.Y.[Xin-Yu], Tang, G.Q.[Guo-Qiang], Wang, X.Q.[Xiu-Qin], Liu, Y.[Yan], Wei, M.[Ming], Zhang, Y.X.[Ying-Xin],
The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products ,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Yang, Y.F.[Yan-Fen], Wu, J.[Jing], Bai, L.[Lei], Wang, B.[Bing],
Reliability of Gridded Precipitation Products in the Yellow River Basin, China,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Huang, W.R.[Wan-Ru], Liu, P.Y.[Pin-Yi], Chang, Y.H.[Ya-Hui], Liu, C.Y.[Chian-Yi],
Evaluation and Application of Satellite Precipitation Products in Studying the Summer Precipitation Variations over Taiwan,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Bieber, P.[Paul], Seifried, T.M.[Teresa M.], Burkart, J.[Julia], Gratzl, J.[Jürgen], Kasper-Giebl, A.[Anne], Schmale, D.G.[David G.], Grothe, H.[Hinrich],
A Drone-Based Bioaerosol Sampling System to Monitor Ice Nucleation Particles in the Lower Atmosphere,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Qiu, Q.T.[Qing-Tai], Liu, J.[Jia], Tian, J.[Jiyang], Jiao, Y.[Yufei], Li, C.Z.[Chuan-Zhe], Wang, W.[Wei], Yu, F.[Fuliang],
Evaluation of the Radar QPE and Rain Gauge Data Merging Methods in Northern China,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Li, Y.[Yun], Guo, B.[Bin], Wang, K.[Kaicun], Wu, G.[Guocan], Shi, C.M.[Chun-Ming],
Performance of TRMM Product in Quantifying Frequency and Intensity of Precipitation during Daytime and Nighttime across China,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Dehghani, M.[Majid], Salehi, S.[Somayeh], Mosavi, A.[Amir], Nabipour, N.[Narjes], Shamshirband, S.[Shahaboddin], Ghamisi, P.[Pedram],
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
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Battaglia, A., Mroz, K., Watters, D., Ardhuin, F.,
GPM-Derived Climatology of Attenuation Due to Clouds and Precipitation at Ka-Band,
GeoRS(58), No. 3, March 2020, pp. 1812-1820.
IEEE DOI 2003
Attenuation, cloud and precipitation, Ka-band, radar BibRef

Banerjee, A.[Abhishek], Chen, R.[Ruishan], Meadows, M.E.[Michael E.], Singh, R.B., Mal, S.[Suraj], Sengupta, D.[Dhritiraj],
An Analysis of Long-Term Rainfall Trends and Variability in the Uttarakhand Himalaya Using Google Earth Engine,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
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Chen, X., Huang, W., Zhao, C., Tian, Y.,
Rain Detection From X-Band Marine Radar Images: A Support Vector Machine-Based Approach,
GeoRS(58), No. 3, March 2020, pp. 2115-2123.
IEEE DOI 2003
Rain detection, support vector machines (SVMs), X-band marine radar BibRef

Wei, C.C.A.[Chih-Chi-Ang], Hsieh, P.Y.[Po-Yu],
Estimation of Hourly Rainfall During Typhoons Using Radar Mosaic-Based Convolutional Neural Networks,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
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Xu, M.C.[Meng-Chao], Liu, Q.[Qian], Sha, D.[Dexuan], Yu, M.Z.[Man-Zhu], Duffy, D.Q.[Daniel Q.], Putman, W.M.[William M.], Carroll, M.[Mark], Lee, T.[Tsengdar], Yang, C.[Chaowei],
PreciPatch: A Dictionary-based Precipitation Downscaling Method,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
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Peng, L., Jiang, A., Yi, Q., Wang, M.,
Cumulative Rain Density Sensing Network for Single Image Derain,
SPLetters(27), 2020, pp. 406-410.
IEEE DOI 2004
Rain, Convolution, Encoding, Kernel, Training, Mathematical model, Sensors, Rain removal, Image enhancement, Image restoration, Rain-streaks BibRef

Choi, Y., Shin, D., Kim, J., Joh, M.,
Passive Microwave Precipitation Retrieval Algorithm With A~Priori Databases of Various Cloud Microphysics Schemes: Tropical Cyclone Applications,
GeoRS(58), No. 4, April 2020, pp. 2366-2382.
IEEE DOI 2004
Databases, Clouds, Rain, Customer relationship management, Microwave theory and techniques, Tropical cyclones, tropical cyclone precipitation measurements BibRef

Chang, W.Y.[Wei-Yu], Lee, G.[GyuWon], Jou, B.J.D.[Ben Jong-Dao], Lee, W.C.[Wen-Chau], Lin, P.L.[Pay-Liam], Yu, C.K.[Cheng-Ku],
Uncertainty in Measured Raindrop Size Distributions from Four Types of Collocated Instruments,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Xie, Y.H.[Yan-Hui], Chen, M.[Min], Shi, J.C.[Jian-Cheng], Fan, S.[Shuiyong], He, J.[Jing], Dou, Y.[Youjun],
Impacts of Assimilating ATMS Radiances on Heavy Rainfall Forecast in RMAPS-ST,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Chen, Z.Q.[Ze-Qiang], Lin, X.[Xin], Xiong, C.[Chang], Chen, N.C.[Neng-Cheng],
Modeling the Relationship of Precipitation and Water Level Using Grid Precipitation Products with a Neural Network Model,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Wehbe, Y.[Youssef], Temimi, M.[Marouane], Adler, R.F.[Robert F.],
Enhancing Precipitation Estimates Through the Fusion of Weather Radar, Satellite Retrievals, and Surface Parameters,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
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Li, Z.[Zhi], Chen, M.Y.[Meng-Ye], Gao, S.[Shang], Hong, Z.[Zhen], Tang, G.[Guoqiang], Wen, Y.X.[Yi-Xin], Gourley, J.J.[Jonathan J.], Hong, Y.[Yang],
Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
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Kikuchi, H., Suezawa, T., Ushio, T., Takahashi, N., Hanado, H., Nakagawa, K., Osada, M., Maesaka, T., Iwanami, K., Yoshimi, K., Mizutani, F., Wada, M., Hobara, Y.,
Initial Observations for Precipitation Cores With X-Band Dual Polarized Phased Array Weather Radar,
GeoRS(58), No. 5, May 2020, pp. 3657-3666.
IEEE DOI 2005
Phased array radar, polarimetric radar observations, remote sensing BibRef

Sharif, R.B.[Ridwana Binte], Habib, E.H.[Emad H.], El Saadani, M.[Mohamed],
Evaluation of Radar-Rainfall Products over Coastal Louisiana,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Kim, J.S.[Jong-Suk], Xaiyaseng, P.[Phetlamphanh], Xiong, L.H.[Li-Hua], Yoon, S.K.[Sun-Kwon], Lee, T.[Taesam],
Remote Sensing-Based Rainfall Variability for Warming and Cooling in Indo-Pacific Ocean with Intentional Statistical Simulations,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Wang, K.H.[Keh-Han], Chu, T.[Ted], Yang, M.D.[Ming-Der], Chen, M.C.[Ming-Cheng],
Geostatistical Based Models for the Spatial Adjustment of Radar Rainfall Data in Typhoon Events at a High-Elevation River Watershed,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Ulloa, N.I.[Noel Ivan], Chiang, S.H.[Shou-Hao], Yun, S.H.[Sang-Ho],
Flood Proxy Mapping with Normalized Difference Sigma-Naught Index and Shannon's Entropy,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Chen, X., Huang, W.,
Identification of Rain and Low-Backscatter Regions in X-Band Marine Radar Images: An Unsupervised Approach,
GeoRS(58), No. 6, June 2020, pp. 4225-4236.
IEEE DOI 2005
Pixel clustering, rain, self-organizing map (SOM), X-band marine radar BibRef

Mosaffa, H.[Hamidreza], Sadeghi, M.[Mojtaba], Hayatbini, N.[Negin], Gorooh, V.A.[Vesta Afzali], Asanjan, A.A.[Ata Akbari], Nguyen, P.[Phu], Sorooshian, S.[Soroosh],
Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
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Kwon, M.[Moonhyuk], Kwon, H.H.[Hyun-Han], Han, D.[Dawei],
A Hybrid Approach Combining Conceptual Hydrological Models, Support Vector Machines and Remote Sensing Data for Rainfall-Runoff Modeling,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Zhao, Q., Liu, Y., Ma, X., Yao, W., Yao, Y., Li, X.,
An Improved Rainfall Forecasting Model Based on GNSS Observations,
GeoRS(58), No. 7, July 2020, pp. 4891-4900.
IEEE DOI 2006
Global navigation satellite system, Forecasting, Atmospheric modeling, Delays, Software, Predictive models, zenith total delay (ZTD) BibRef

Raut, B.A., Louf, V., Gayatri, K., Murugavel, P., Konwar, M., Prabhakaran, T.,
A Multiresolution Technique for the Classification of Precipitation Echoes in Radar Data,
GeoRS(58), No. 8, August 2020, pp. 5409-5415.
IEEE DOI 2007
Rain, Spaceborne radar, Convection, Wavelet transforms, Image resolution, Radar imaging, Bright band, Z-R relation BibRef

Takahashi, N.,
Analysis of Surface Cross-Sectional Data Taken During the 90° Yaw Experiment of the TRMM Precipitation Radar,
GeoRS(58), No. 8, August 2020, pp. 5729-5738.
IEEE DOI 2007
Satellites, Sea surface, Spaceborne radar, Rain, Earth, Wind speed, Radar cross section, spaceborne precipitation radar (PR) BibRef

Kanemaru, K., Iguchi, T., Masaki, T., Kubota, T.,
Estimates of Spaceborne Precipitation Radar Pulsewidth and Beamwidth Using Sea Surface Echo Data,
GeoRS(58), No. 8, August 2020, pp. 5291-5303.
IEEE DOI 2007
Spaceborne radar, Shape, Band-pass filters, Sea surface, Radar measurements, Pulse measurements, tropical rainfall measuring mission (TRMM) BibRef

Wei, C.C.A.[Chih-Chi-Ang], Hsu, C.C.[Chen-Chia],
Extreme Gradient Boosting Model for Rain Retrieval using Radar Reflectivity from Various Elevation Angles,
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DOI Link 2007
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d'Adderio, L.P.[Leo Pio], Puca, S.[Silvia], Vulpiani, G.[Gianfranco], Petracca, M.[Marco], Sanò, P.[Paolo], Dietrich, S.[Stefano],
RAINBOW: An Operational Oriented Combined IR-Algorithm,
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DOI Link 2008
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Boluwade, A.[Alaba],
Remote sensed-based rainfall estimations over the East and West Africa regions for disaster risk management,
PandRS(167), 2020, pp. 305-320.
Elsevier DOI 2008
Disaster management, Flood management, Precipitation analysis, Satellite observations, Uganda, Ghana, Satellite Rainfall, GPM BibRef

Zhang, W.[Wei], Liu, D.[Dan], Zheng, S.[Shengjie], Liu, S.[Shuya], Loáiciga, H.A.[Hugo A.], Li, W.[Wenkai],
Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Gallucci, D.[Donatello], de Natale, M.P.[Maria Pia], Cimini, D.[Domenico], Di Paola, F.[Francesco], Gentile, S.[Sabrina], Geraldi, E.[Edoardo], Larosa, S.[Salvatore], Nilo, S.T.[Saverio Teodosio], Ricciardelli, E.[Elisabetta], Viggiano, M.[Mariassunta], Romano, F.[Filomena],
Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Cuccoli, F., Facheris, L., Antonini, A., Melani, S., Baldini, L.,
Weather Radar and Rain-Gauge Data Fusion for Quantitative Precipitation Estimation: Two Case Studies,
GeoRS(58), No. 9, September 2020, pp. 6639-6649.
IEEE DOI 2008
Meteorological radar, Spaceborne radar, Radar measurements, Rain, Sea measurements, Data fusion, precipitation, weather radar BibRef

Gou, Y., Chen, H., Chandrasekar, V.,
A Dynamic Approach to Quantitative Precipitation Estimation Using Multiradar Multigauge Network,
GeoRS(58), No. 9, September 2020, pp. 6376-6390.
IEEE DOI 2008
Storms, Meteorological radar, Radar applications, Rain, Heuristic algorithms, Doppler radar, Dynamic approach, weather radar BibRef

Colli, M., Cassola, F., Martina, F., Trovatore, E., Delucchi, A., Maggiolo, S., Caviglia, D.D.,
Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa,
GeoRS(58), No. 9, September 2020, pp. 6266-6280.
IEEE DOI 2008
Rain, Microwave theory and techniques, Microwave measurement, Sensors, Monitoring, Urban areas, Atmosphere, satellite-to-earth microwave down-links (SMLs) BibRef

Levis, A.[Aviad], Schechner, Y.Y.[Yoav Y.], Davis, A.B.[Anthony B.], Loveridge, J.[Jesse],
Multi-View Polarimetric Scattering Cloud Tomography and Retrieval of Droplet Size,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Le, X.H.[Xuan-Hien], Lee, G.[Giha], Jung, K.[Kwansue], An, H.U.[Hyun-Uk], Lee, S.[Seungsoo], Jung, Y.H.[Young-Hun],
Application of Convolutional Neural Network for Spatiotemporal Bias Correction of Daily Satellite-Based Precipitation,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Kolluru, V.[Venkatesh], Kolluru, S.[Srinivas], Wagle, N.[Nimisha], Acharya, T.D.[Tri Dev],
Secondary Precipitation Estimate Merging Using Machine Learning: Development and Evaluation over Krishna River Basin, India,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Pu, K., Liu, X., Xian, M., Gao, T.,
Machine Learning Classification of Rainfall Types Based on the Differential Attenuation of Multiple Frequency Microwave Links,
GeoRS(58), No. 10, October 2020, pp. 6888-6899.
IEEE DOI 2009
Rain, Attenuation, Machine learning, Microwave theory and techniques, Radar, Microwave measurement, rainfall types classification BibRef

Jia, Y.[Yao], Lei, H.[Huimin], Yang, H.[Hanbo], Hu, Q.F.[Qing-Fang],
Terrestrial Water Storage Change Retrieved by GRACE and Its Implication in the Tibetan Plateau: Estimating Areal Precipitation in Ungauged Region,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Ullah, S.[Sana], Zuo, Z.K.[Zheng-Kang], Zhang, F.Z.[Fei-Zhou], Zheng, J.H.[Jiang-Hua], Huang, S.F.[Shi-Feng], Lin, Y.[Yi], Iqbal, I.[Imran], Sun, Y.Y.[Yi-Yuan], Yang, M.[Ming], Yan, L.[Lei],
GPM-Based Multitemporal Weighted Precipitation Analysis Using GPM_IMERGDF Product and ASTER DEM in EDBF Algorithm,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Chhetri, M.[Manoj], Kumar, S.[Sudhanshu], Roy, P.P.[Partha Pratim], Kim, B.G.[Byung-Gyu],
Deep BLSTM-GRU Model for Monthly Rainfall Prediction: A Case Study of Simtokha, Bhutan,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Retalis, A.[Adrianos], Katsanos, D.[Dimitris], Tymvios, F.[Filippos], Michaelides, S.[Silas],
Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Pulkkinen, S., Chandrasekar, V., von Lerber, A., Harri, A.M.,
Nowcasting of Convective Rainfall Using Volumetric Radar Observations,
GeoRS(58), No. 11, November 2020, pp. 7845-7859.
IEEE DOI 2011
Rain, Predictive models, Mathematical model, Computational modeling, Radar measurements, Atmosphere, urban areas BibRef

Sun, Y., Xiao, H., Yang, H., Feng, L., Chen, H., Luo, L.,
An Inverse Mapping Table Method for Raindrop Size Distribution Parameters Retrieval Using X-band Dual-Polarization Radar Observations,
GeoRS(58), No. 11, November 2020, pp. 7611-7632.
IEEE DOI 2011
Radar polarimetry, Scattering, Databases, Clouds, Mathematical model, Shape, Inverse mapping table (IMT) method, RSD parameter retrieval BibRef

Lim, S.,
A Novel Electromagnetic Wave Rain Gauge and its Average Rainfall Estimation Method,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Ghada, W.[Wael], Bech, J.[Joan], Estrella, N.[Nicole], Hamann, A.[Andreas], Menzel, A.[Annette],
Weather Types Affect Rain Microstructure: Implications for Estimating Rain Rate,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Xian, M.[Minghao], Liu, X.[Xichuan], Song, K.[Kun], Gao, T.[Taichang],
Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Laviola, S.[Sante], Monte, G.[Giulio], Levizzani, V.[Vincenzo], Ferraro, R.R.[Ralph R.], Beauchamp, J.[James],
A New Method for Hail Detection from the GPM Constellation: A Prospect for a Global Hailstorm Climatology,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Tsai, C.C.[Chih-Chien], Chung, K.S.[Kao-Shen],
Sensitivities of Quantitative Precipitation Forecasts for Typhoon Soudelor (2015) near Landfall to Polarimetric Radar Data Assimilation,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Eldardiry, H.[Hisham], Habib, E.[Emad],
Examining the Robustness of a Spatial Bootstrap Regional Approach for Radar-Based Hourly Precipitation Frequency Analysis,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Lagasio, M.[Martina], Meroni, A.N.[Agostino N.], Boni, G.[Giorgio], Pulvirenti, L.[Luca], Monti-Guarnieri, A.[Andrea], Haagmans, R.[Roger], Hobbs, S.[Stephen], Parodi, A.[Antonio],
Meteorological OSSEs for New Zenith Total Delay Observations: Impact Assessment for the Hydroterra Geosynchronous Satellite on the October 2019 Genoa Event,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
Observing System Simulation Experiments. Extreme rainfall events. BibRef

Wang, C., Xu, J., Tang, G., Yang, Y., Hong, Y.,
Infrared Precipitation Estimation Using Convolutional Neural Network,
GeoRS(58), No. 12, December 2020, pp. 8612-8625.
IEEE DOI 2012
Estimation, Satellites, Meteorology, Remote sensing, Clouds, Feature extraction, Deep learning, infrared (IR) precipitation estimation BibRef

Kim, J., Shin, D.B.,
A Comparative Study of Rain/No-Rain Classification Results Using PCT From GPM/GMI Data by Precipitation Type,
GeoRS(58), No. 12, December 2020, pp. 8541-8554.
IEEE DOI 2012
Clouds, Rain, Microwave measurement, Scattering, Microwave theory and techniques, Ice, Microwave imaging, rain/no-rain classification (RNC) BibRef

Sabzehee, F., Nafisi, V., Iran Pour, S., Vishwakarma, B.D.,
Analysis of The Precipitation Climate Signal Using Empirical Mode Decomposition (emd) Over The Caspian Catchment Area,
SMPR19(923-929).
DOI Link 1912
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Chen, K.[Kai], Liu, J.[Jun], Guo, S.X.[Shan-Xin], Chen, J.S.[Jin-Song], Liu, P.[Ping], Qian, J.[Jing], Chen, H.J.[Hui-Juan], Sun, B.[Bo],
Short-term Precipitation Occurrence Prediction for Strong Convective Weather Using FY2-G Satellite Data: A Case Study of Shenzhen,south China,
ISPRS16(B6: 215-219).
DOI Link 1610
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Fu, Y.L.[Yan-Li], Jing, C.[Changfeng], Du, M.Y.[Ming-Yi],
Urban Rain Gauge Siting Selection Based On GIS-multicriteria Analysis,
ISPRS16(B2: 185-190).
DOI Link 1610
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Seo, J.Y., Lee, S.I.,
Multi-Platform Satellite Based Estimates of Runoff in Ungauged Areas,
GeoInfo15(61-62).
DOI Link 1602
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Lepoittevin, Y., Herlin, I.,
Modeling high rainfall regions for flash flood nowcasting,
MultiTemp15(1-4)
IEEE DOI 1511
atmospheric techniques BibRef

Hedir, M., Haddad, B.,
Ground echoes filtering using the completed local binary pattern and the support vector machine,
MultiTemp15(1-4)
IEEE DOI 1511
atmospheric precipitation BibRef

Louise, L., Christian, B., Danny, L.S., Agnes, B., Seydou, B.T.,
Testing satellite rainfall estimates for yield simulation of a rainfed cereal in West Africa,
MultiTemp15(1-4)
IEEE DOI 1511
crops BibRef

Ling, L.[Lloyd], Yusop, Z.[Zulkifli],
The Collective Visual Representation of Rainfall-Runoff Difference Model,
IVIC15(271-282).
Springer DOI 1511
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Ozcan, O., Bookhagen, B., Musaoglu, N.,
Analyzing Spatiotemporal Patterns of Extreme Precipitation Events in Southeastern Anatolia,
SSG13(195-200).
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Darvishi, M., Ahmadi, G.R.,
Application of radar polarimetry techniques for retrieval snow and rain characteristics in remote sensing,
SMPR13(111-115).
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Mahrooghy, M.[Majid], Anantharaj, V.G.[Valentine G.], Younan, N.H.[Nicolas H.], Aanstoos, J.V.[James V.],
Optimal wavelet features for an infrared satellite precipitation estimate algorithm,
AIPR10(1-6).
IEEE DOI 1010
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Freitas, G.M., Avila, A.M.H., Papa, J.P., Falcao, A.X.,
Optimum-Path Forest-Based Rainfall Estimation,
WSSIP09(1-4).
IEEE DOI 0906
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Evaluation and Comparison of Rainfall Analysis, Rain, Precipitation Products .

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