24.8.6.6 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

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
BibRef

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
BibRef

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

Pan, X.D.[Xiao-Duo], 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
BibRef

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
BibRef
And: Addendum: RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

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
BibRef

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

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
BibRef

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
BibRef

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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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

Xie, Y.H.[Yan-Hui], Shi, J.C.[Jian-Cheng], Fan, S.Y.[Shui-Yong], 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

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

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.Y.[Rui-Ying], Biswas, A.[Asim], Teng, H.F.[Hong-Fen], 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

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

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.L.[Pei-Li], 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

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

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

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

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,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Watters, D.[Daniel], Battaglia, A.[Alessandro],
The Summertime Diurnal Cycle of Precipitation Derived from IMERG,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
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

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
BibRef

Kolbe, C.[Christine], Thies, B.[Boris], Turini, N.[Nazli], Liu, Z.Y.[Zhi-Yu], Bendix, J.[Jörg],
Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit: Part 2: Precipitation Rates with Elektro-L2 and Insat-3D,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef
And: Correction: RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

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
BibRef

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
BibRef

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,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

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
BibRef

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.
DOI Link 1911
BibRef

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

Zeng, H.W.[Hong-Wei], Wu, B.F.[Bing-Fang], 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
BibRef

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
BibRef

Zheng, J.F.[Jia-Feng], Liu, L.P.[Li-Ping], Chen, H.N.[Hao-Nan], Gou, Y.B.[Ya-Bin], Che, Y.Z.[Yu-Zhang], Xu, H.L.[Hao-Lin], 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
BibRef

Lu, D.K.[De-Kai], 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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Qiu, Q.T.[Qing-Tai], Liu, J.[Jia], Tian, J.[Jiyang], Jiao, Y.F.[Yu-Fei], 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
BibRef

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
BibRef

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
BibRef

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
BibRef

Xu, M.C.[Meng-Chao], Liu, Q.[Qian], Sha, D.X.[De-Xuan], Yu, M.Z.[Man-Zhu], Duffy, D.Q.[Daniel Q.], Putman, W.M.[William M.], Carroll, M.[Mark], Lee, T.[Tsengdar], Yang, C.W.[Chao-Wei],
PreciPatch: A Dictionary-based Precipitation Downscaling Method,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

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

Xie, Y.H.[Yan-Hui], Chen, M.[Min], Shi, J.C.[Jian-Cheng], Fan, S.Y.[Shui-Yong], He, J.[Jing], Dou, Y.J.[You-Jun],
Impacts of Assimilating ATMS Radiances on Heavy Rainfall Forecast in RMAPS-ST,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

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
BibRef

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
BibRef

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
BibRef

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,
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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,
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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

Kwon, M.[Moonhyuk], Kwon, H.H.[Hyun-Han], Han, D.W.[Da-Wei],
A Hybrid Approach Combining Conceptual Hydrological Models, Support Vector Machines and Remote Sensing Data for Rainfall-Runoff Modeling,
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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

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,
RS(12), No. 14, 2020, pp. xx-yy.
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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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Zhang, W.[Wei], Liu, D.[Dan], Zheng, S.J.[Sheng-Jie], Liu, S.Y.[Shu-Ya], Loáiciga, H.A.[Hugo A.], Li, W.K.[Wen-Kai],
Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging,
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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

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.
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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.M.[Hui-Min], 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
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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
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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.
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Lim, S.,
A Novel Electromagnetic Wave Rain Gauge and its Average Rainfall Estimation Method,
RS(12), No. 21, 2020, pp. xx-yy.
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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.H.[Ming-Hao], Liu, X.C.[Xi-Chuan], Song, K.[Kun], Gao, T.C.[Tai-Chang],
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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Zhao, Y.C.[Ying-Cheng], Liu, X.C.[Xi-Chuan], Liu, L.[Lei], Pu, K.[Kang], Song, K.[Kun],
Reconstruction of Rainfall Field Using Earth-Space Links Network: A Compressed Sensing Approach,
RS(14), No. 19, 2022, pp. xx-yy.
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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
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Eldardiry, H.[Hisham], Habib, E.[Emad],
Examining the Robustness of a Spatial Bootstrap Regional Approach for Radar-Based Hourly Precipitation Frequency Analysis,
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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

Li, H.[Haobo], Wang, X.M.[Xiao-Ming], Wu, S.[Suqin], Zhang, K.[Kefei], Chen, X.[Xialan], Qiu, C.[Cong], Zhang, S.[Shaotian], Zhang, J.L.[Jing-Lei], Xie, M.Q.A.[Ming-Qi-Ang], Li, L.[Li],
Development of an Improved Model for Prediction of Short-Term Heavy Precipitation Based on GNSS-Derived PWV,
RS(12), No. 24, 2020, pp. xx-yy.
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Garcia-Benadi, A.[Albert], Bech, J.[Joan], Gonzalez, S.[Sergi], Udina, M.[Mireia], Codina, B.[Bernat], Georgis, J.F.[Jean-François],
Precipitation Type Classification of Micro Rain Radar Data Using an Improved Doppler Spectral Processing Methodology,
RS(12), No. 24, 2020, pp. xx-yy.
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Kim, J.S.[Jong-Suk], Chen, A.X.[An-Xiang], Lee, J.[Junghwan], Moon, I.J.[Il-Ju], Moon, Y.I.[Young-Il],
Statistical Prediction of Typhoon-Induced Rainfall over China Using Historical Rainfall, Tracks, and Intensity of Typhoon in the Western North Pacific,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Tao, R., Zhao, K., Huang, H., Wen, L., Zhang, G., Zhou, A., Chen, H.,
Snow Particle Size Distribution From a 2-D Video Disdrometer and Radar Snowfall Estimation in East China,
GeoRS(59), No. 1, January 2021, pp. 196-207.
IEEE DOI 2012
Snow, Estimation, Rain, Instruments, Radar measurements, Disdrometer, microphysical characteristics, snow, snowfall estimation, weather radar BibRef

Chen, J.Y.[Ju-Yu], Chang, W.Y.[Wei-Yu], Chang, P.L.[Pao-Liang],
A Synthetic Quantitative Precipitation Estimation by Integrating S- and C-Band Dual-Polarization Radars over Northern Taiwan,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
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Ferrone, A.[Alfonso], Berne, A.[Alexis],
Dynamic Differential Reflectivity Calibration Using Vertical Profiles in Rain and Snow,
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Bouget, V.[Vincent], Béréziat, D.[Dominique], Brajard, J.[Julien], Charantonis, A.[Anastase], Filoche, A.[Arthur],
Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Chen, J.C.[Jia-Chao], Wang, Z.L.[Zhao-Li], Wu, X.S.[Xu-Shu], Lai, C.G.[Cheng-Guang], Chen, X.H.[Xiao-Hong],
Evaluation of TMPA 3B42-V7 Product on Extreme Precipitation Estimates,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Zhao, N.[Na],
An Efficient Downscaling Scheme for High-Resolution Precipitation Estimates over a High Mountainous Watershed,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Tang, X.P.[Xiong-Peng], Zhang, J.Y.[Jian-Yun], Wang, G.Q.[Guo-Qing], Ruben, G.B.[Gebdang Biangbalbe], Bao, Z.X.[Zhen-Xin], Liu, Y.L.[Yan-Li], Liu, C.[Cuishan], Jin, J.L.[Jun-Liang],
Error Correction of Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Lancang-Mekong River Basin,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Sokol, Z.[Zbynek], Szturc, J.[Jan], Orellana-Alvear, J.[Johanna], Popová, J.[Jana], Jurczyk, A.[Anna], Célleri, R.[Rolando],
The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling: A Review,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Kumar, V.[Vinay], Sunilkumar, K., Sinha, T.[Tushar],
Proportional Trends of Continuous Rainfall in Indian Summer Monsoon,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Berhane, S.A.[Samuel A.], Bu, L.B.[Ling-Bing],
Aerosol-Cloud Interaction with Summer Precipitation over Major Cities in Eritrea,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Tahanout, M., Châtelet, J.P.D.,
FILCOH: A Novel Technique to Reduce Ground Clutter Echoes in Precipitation Radars Operating in Multiple PRT,
GeoRS(59), No. 3, March 2021, pp. 1967-1985.
IEEE DOI 2103
Clutter, Radar clutter, Meteorological radar, Meteorology, Radar antennas, Doppler radar, Correlation time, Doppler radar, wind profiler radar BibRef

Wang, W.[Wei], Liu, J.[Jia], Li, C.Z.[Chuan-Zhe], Liu, Y.C.[Yu-Chen], Yu, F.L.[Fu-Liang],
Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Kidd, C.[Chris], Matsui, T.[Toshi], Ringerud, S.[Sarah],
Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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Nzabarinda, V.[Vincent], Bao, A.[Anming], Xu, W.Q.[Wen-Qiang], Uwamahoro, S.[Solange], Udahogora, M.[Madeleine], Umwali, E.D.[Edovia Dufatanye], Nyirarwasa, A.[Anathalie], Umuhoza, J.[Jeanine],
A Spatial and Temporal Assessment of Vegetation Greening and Precipitation Changes for Monitoring Vegetation Dynamics in Climate Zones over Africa,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
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Tapiador, F.J.[Francisco J.], Villalba-Pradas, A.[Anahí], Navarro, A.[Andrés], García-Ortega, E.[Eduardo], Lim, K.S.S.[Kyo-Sun Sunny], Kim, K.[Kwonil], Ahn, K.D.[Kwang Deuk], Lee, G.[Gyuwon],
Future Directions in Precipitation Science,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Wang, X.H.[Xing-Han], Cong, P.T.[Pei-Tong], Jin, Y.H.[Yu-Hao], Jia, X.C.[Xi-Chun], Wang, J.S.[Jun-Shu], Han, Y.X.[Yu-Xing],
Assessing the Effects of Land Cover Land Use Change on Precipitation Dynamics in Guangdong-Hong Kong-Macao Greater Bay Area from 2001 to 2019,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Trebing, K.[Kevin], Stanczyk, T.[Tomasz], Mehrkanoon, S.[Siamak],
SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture,
PRL(145), 2021, pp. 178-186.
Elsevier DOI 2104
Domain adaptation, Neural networks, Kernel methods, Coupling regularization BibRef

Celis, J.A.[Jorge A.], Moreno, H.A.[Hernan A.], Basara, J.B.[Jeffrey B.], McPherson, R.A.[Renee A.], Cosh, M.[Michael], Ochsner, T.[Tyson], Xiao, X.M.[Xiang-Ming],
From Standard Weather Stations to Virtual Micro-Meteorological Towers in Ungauged Sites: Modeling Tool for Surface Energy Fluxes, Evapotranspiration, Soil Temperature, and Soil Moisture Estimations,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
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Habi, H.V.[Hai Victor], Messer, H.[Hagit],
Recurrent Neural Network for Rain Estimation Using Commercial Microwave Links,
GeoRS(59), No. 5, May 2021, pp. 3672-3681.
IEEE DOI 2104
Rain, Robustness, Estimation, Recurrent neural networks, Attenuation, Microwave measurement, Microwave theory and techniques, robustness BibRef

Wang, W.[Wenyue], Hocke, K.[Klemens], Mätzler, C.[Christian],
Physical Retrieval of Rain Rate from Ground-Based Microwave Radiometry,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Han, C.Z.[Cong-Zheng], Feng, L.[Liang], Huo, J.[Juan], Deng, Z.Z.[Zhao-Ze], Zhang, G.Y.[Gao-Yuan], Ji, B.F.[Bao-Feng], Zhou, Y.S.[Yu-Shu], Bi, Y.H.[Yong-Heng], Duan, S.[Shu], Yuan, R.M.[Ren-Min],
Characteristics of Rain-Induced Attenuation over Signal Links at Frequency Ranges of 25 and 38 GHz Observed in Beijing,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Pettersen, C.[Claire], Bliven, L.F.[Larry F.], Kulie, M.S.[Mark S.], Wood, N.B.[Norman B.], Shates, J.A.[Julia A.], Anderson, J.[Jaclyn], Mateling, M.E.[Marian E.], Petersen, W.A.[Walter A.], von Lerber, A.[Annakaisa], Wolff, D.B.[David B.],
The Precipitation Imaging Package: Phase Partitioning Capabilities,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Yan, X.[Xin], Chen, H.[Hua], Tian, B.[Bingru], Sheng, S.[Sheng], Wang, J.X.[Jin-Xing], Kim, J.S.[Jong-Suk],
A Downscaling-Merging Scheme for Improving Daily Spatial Precipitation Estimates Based on Random Forest and Cokriging,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Shin, K.[Kyuhee], Song, J.J.[Joon Jin], Bang, W.[Wonbae], Lee, G.W.[Gyu-Won],
Quantitative Precipitation Estimates Using Machine Learning Approaches with Operational Dual-Polarization Radar Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Song, J.J.[Joon Jin], Innerst, M.[Melissa], Shin, K.[Kyuhee], Ye, B.Y.[Bo-Young], Kim, M.H.[Min-Ho], Yeom, D.[Daejin], Lee, G.W.[Gyu-Won],
Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Shin, K.[Kyuhee], Kim, K.[Kwonil], Song, J.J.[Joon Jin], Lee, G.W.[Gyu-Won],
Classification of Precipitation Types Based on Machine Learning Using Dual-Polarization Radar Measurements and Thermodynamic Fields,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Yang, X.Y.[Xu-Ying], Sun, P.[Peng], Zhang, F.[Feng], Du, Z.H.[Zhen-Hong], Liu, R.Y.[Ren-Yi],
Multi-Task Collaboration Deep Learning Framework for Infrared Precipitation Estimation,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Luo, L.[Li], Guo, J.[Jia], Chen, H.[Haonan], Yang, M.[Meilin], Chen, M.X.[Ming-Xuan], Xiao, H.[Hui], Ma, J.L.[Jian-Li], Li, S.[Siteng],
Microphysical Characteristics of Rainfall Observed by a 2DVD Disdrometer during Different Seasons in Beijing, China,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Na, W.[Wooyoung], Yoo, C.[Chulsang],
Real-Time Parameter Estimation of a Dual-Pol Radar Rain Rate Estimator Using the Extended Kalman Filter,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Zhao, N.[Na], Jiao, Y.M.[Yi-Meng],
A New HASM-Based Downscaling Method for High-Resolution Precipitation Estimates,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Li, M.X.[Ming-Xin], Luo, Y.[Yali], Zhang, D.L.[Da-Lin], Chen, M.X.[Ming-Xuan], Wu, C.[Chong], Yin, J.[Jinfang], Ma, R.[Ruoyun],
Analysis of a Record-Breaking Rainfall Event Associated With a Monsoon Coastal Megacity of South China Using Multisource Data,
GeoRS(59), No. 8, August 2021, pp. 6404-6414.
IEEE DOI 2108
Storms, Rain, Radar, Monsoons, Microwave radiometry, Clouds, Lightning, Extreme short-term rainfall, meso-?-scale vortex, warm-rain microphysical processes BibRef

Ghebreyesus, D.T.[Dawit T.], Sharif, H.O.[Hatim O.],
Development and Assessment of High-Resolution Radar-Based Precipitation Intensity-Duration-Curve (IDF) Curves for the State of Texas,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Silver, M.[Micha], Karnieli, A.[Arnon], Fredj, E.[Erick],
Improved Gridded Precipitation Data Derived from Microwave Link Attenuation,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Huang, T.T.[Ting-Ting], Ding, C.H.[Cheng-Hui], Li, W.[Weibiao], Chen, Y.L.[Yi-Lun],
Morphology of Rain Clusters Influencing Rainfall Intensity over Hainan Island,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Zhang, Y.H.[Yong-Hua], Bi, S.[Shuoben], Liu, L.P.[Li-Ping], Chen, H.[Haonan], Zhang, Y.[Yi], Shen, P.[Ping], Yang, F.[Fan], Wang, Y.Q.[Ya-Qiang], Zhang, Y.[Yang], Yao, S.[Shun],
Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation during Landfalling Typhoons in South China,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Moraux, A.[Arthur], Dewitte, S.[Steven], Cornelis, B.[Bruno], Munteanu, A.[Adrian],
A Deep Learning Multimodal Method for Precipitation Estimation,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhao, Y.[Yuan], Longépé, N.[Nicolas], Mouche, A.[Alexis], Husson, R.[Romain],
Automated Rain Detection by Dual-Polarization Sentinel-1 Data,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhang, Y.S.[Yu-Shan], Wu, K.[Kun], Zhang, J.L.[Jing-Lin], Zhang, F.[Feng], Xiao, H.X.[Hai-Xia], Wang, F.C.[Fu-Chang], Zhou, J.Y.[Jian-Yin], Song, Y.[Yi], Peng, L.[Liang],
Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine Learning,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Liu, P.[Peng], Yang, Y.[Yi], Xin, Y.[Yu], Wang, C.H.[Cheng-Hai],
Impact of Lightning Data Assimilation on Forecasts of a Leeward Slope Precipitation Event in the Western Margin of the Junggar Basin,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Choi, Y.[Yeji], Cha, K.[Keumgang], Back, M.Y.[Min-Young], Choi, H.[Hyunguk], Jeon, T.[Taegyun],
RAIN-F+: The Data-Driven Precipitation Prediction Model for Integrated Weather Observations,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Basri, M.A.A.[Muhamad Afdal Ahmad], Shaharudin, S.M.[Shazlyn Milleana], Kismiantini, Tan, M.L.[Mou Leong], Najib, S.A.M.[Sumayyah Aimi Mohd], Zainuddin, N.H.[Nurul Hila], Andayani, S.[Sri],
Regionalization of Rainfall Regimes Using Hybrid RF-Bs Couple with Multivariate Approaches,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Derin, Y.[Yagmur], Bhuiyan, M.A.E.[Md Abul Ehsan], Anagnostou, E.[Emmanouil], Kalogiros, J.[John], Anagnostou, M.N.[Marios N.],
Modeling Level 2 Passive Microwave Precipitation Retrieval Error Over Complex Terrain Using a Nonparametric Statistical Technique,
GeoRS(59), No. 11, November 2021, pp. 9021-9032.
IEEE DOI 2111
Radar, Microwave radiometry, Microwave theory and techniques, Microwave measurement, Microwave imaging, Data models, Rain, X-band dual polarization radar BibRef

Niu, D.[Dan], Huang, J.H.[Jun-Hao], Zang, Z.L.[Zeng-Liang], Xu, L.J.[Liu-Jia], Che, H.S.[Hong-Shu], Tang, Y.Q.[Yuan-Qing],
Two-Stage Spatiotemporal Context Refinement Network for Precipitation Nowcasting,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Chancay, J.E.[Juseth E.], Espitia-Sarmiento, E.F.[Edgar Fabian],
Improving Hourly Precipitation Estimates for Flash Flood Modeling in Data-Scarce Andean-Amazon Basins: An Integrative Framework Based on Machine Learning and Multiple Remotely Sensed Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Huo, J.[Juan], Bi, Y.H.[Yong-Heng], Liu, B.[Bo], Han, C.Z.[Cong-Zheng], Duan, M.Z.[Min-Zheng],
A Dual-Frequency Cloud Radar for Observations of Precipitation and Cloud in Tibet: Description and Preliminary Measurements,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Picard, B.[Bruno], Picot, N.[Nicolas], Dibarboure, G.[Gérald], Steunou, N.[Nathalie],
Characterizing Rain Cells as Measured by a Ka-Band Nadir Radar Altimeter: First Results and Impact on Future Altimetry Missions,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhao, Q.Z.[Qing-Zhi], Liu, Y.[Yang], Yao, W.Q.[Wan-Qiang], Yao, Y.B.[Yi-Bin],
Hourly Rainfall Forecast Model Using Supervised Learning Algorithm,
GeoRS(60), 2022, pp. 1-9.
IEEE DOI 2112
Global navigation satellite system, Predictive models, Weather forecasting, Support vector machines, Rain, Data models, support vector machine (SVM) BibRef

Zhu, B.[Bojun], Pu, Z.X.[Zhao-Xia], Putra, A.W.[Agie Wandala], Gao, Z.Q.[Zhi-Qiu],
Assimilating C-Band Radar Data for High-Resolution Simulations of Precipitation: Case Studies over Western Sumatra,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Bracci, A.[Alessandro], Baldini, L.[Luca], Roberto, N.[Nicoletta], Adirosi, E.[Elisa], Montopoli, M.[Mario], Scarchilli, C.[Claudio], Grigioni, P.[Paolo], Ciardini, V.[Virginia], Levizzani, V.[Vincenzo], Porcù, F.[Federico],
Quantitative Precipitation Estimation over Antarctica Using Different Ze-SR Relationships Based on Snowfall Classification Combining Ground Observations,
RS(14), No. 1, 2022, pp. xx-yy.
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A New Method of Rainfall Detection from the Collected X-Band Marine Radar Images,
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Three-Dimensional Structure Analysis and Droplet Spectrum Characteristics of Southwest Vortex Precipitation System Based on GPM-DPR,
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Spatiotemporal Evolution of Urban Rain Islands in China under the Conditions of Urbanization and Climate Change,
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Understanding Intensity-Duration-Frequency (IDF) Curves Using IMERG Sub-Hourly Precipitation against Dense Gauge Networks,
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Peinó, E.[Eric], Bech, J.[Joan], Udina, M.[Mireia],
Performance Assessment of GPM IMERG Products at Different Time Resolutions, Climatic Areas and Topographic Conditions in Catalonia,
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Xu, L.J.[Liu-Jia], Niu, D.[Dan], Zhang, T.B.[Tian-Bao], Chen, P.J.[Peng-Ju], Chen, X.L.[Xun-Lai], Li, Y.H.[Ying-Hao],
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Talchabhadel, R.[Rocky], Shah, S.[Suraj], Aryal, B.[Bibek],
Evaluation of the Spatiotemporal Distribution of Precipitation Using 28 Precipitation Indices and 4 IMERG Datasets over Nepal,
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Huang, Q.Q.[Qi-Qiao], Chen, S.[Sheng], Tan, J.[Jinkai],
TSRC: A Deep Learning Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data,
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Zhang, D.F.[Dan-Feng], He, Y.Q.[Yu-Qing], Li, X.Q.[Xiao-Qing], Zhang, L.[Lu], Xu, N.[Na],
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Zheng, H.[Hong], Chen, Y.[Yaodeng], Zheng, S.W.[Shi-Wei], Meng, D.[Deming], Sun, T.[Tao],
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RS(15), No. 3, 2023, pp. xx-yy.
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Wang, Y.[Yan], Yang, K.[Kun], Huang, W.Y.[Wen-Yu], Qiu, T.[Tianpei], Wang, B.B.[Bin-Bin],
Dominant Contribution of South Asia Monsoon to External Moisture for Extreme Precipitation Events in Northern Tibetan Plateau,
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Ma, Q.R.[Qian-Rong], Li, Z.W.[Zhong-Wai], Lei, H.J.[Hong-Jia], Chen, Z.H.[Zhi-Heng], Liu, J.[Jiang], Wang, S.T.[Shu-Ting], Su, T.[Tao], Feng, G.L.[Guo-Lin],
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Zhou, F.[Feng], Chen, Y.B.[Yang-Bo], Liu, J.[Jun],
Application of a New Hybrid Deep Learning Model That Considers Temporal and Feature Dependencies in Rainfall-Runoff Simulation,
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Chen, W.S.[Wei-Shu], Hua, W.J.[Wen-Jun], Ge, M.[Mengshu], Su, F.[Fei], Liu, N.[Na], Liu, Y.[Yujia], Xiong, A.[Anyuan],
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Rigo, T.[Tomeu], Farnell, C.[Carme],
A Summary of Hail Events during the Summer of 2022 in Catalonia: A Comparison with the Period of 2013-2021,
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Cao, Y.[Yuan], Zhang, D.[Danchen], Zheng, X.[Xin], Shan, H.M.[Hong-Ming], Zhang, J.P.[Jun-Ping],
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Sun, W.B.[Wen-Bo], Hu, Y.X.[Yong-Xiang], Stamnes, S.A.[Snorre A.], Trepte, C.R.[Charles R.], Omar, A.H.[Ali H.], Baize, R.R.[Rosemary R.],
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Alsilibe, F.[Firas], Bene, K.[Katalin], Bilal, G.[Ghada], Alghafli, K.[Khaled], Shi, X.G.[Xiao-Gang],
Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria,
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Li, W.Z.[Wen-Zhao], Jiang, H.[Han], Li, D.F.[Dong-Feng], Bedient, P.B.[Philip B.], Fang, Z.N.[Zheng N.],
Evaluation of Radar Precipitation Products and Assessment of the Gauge-Radar Merging Methods in Southeast Texas for Extreme Precipitation Events,
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Wang, J.[Jingshi], Zhuge, X.Y.[Xiao-Yong], Chen, F.J.[Feng-Jiao], Chen, X.[Xu], Wang, Y.[Yuan],
A Preliminary Analysis of Typical Structures and Microphysical Characteristics of Precipitation in Northeastern China Cold Vortexes,
RS(15), No. 13, 2023, pp. 3399.
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Zhu, S.[Suxing], Liu, C.[Chuntao], Cao, J.[Jie], Lavigne, T.[Thomas],
Diurnal Precipitation Features over Complex Terrains along the Yangtze River in China Based on Long-Term TRMM and GPM Radar Products,
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Li, Z.Y.[Zhi-Yi], Abulikemu, A.[Abuduwaili], Zhu, K.[Kefeng], Mamtimin, A.[Ali], Zeng, Y.[Yong], Li, J.G.[Jian-Gang], Abulimiti, A.[Aerzuna], Kadier, Z.[Zulipina], Abuduaini, A.[Abidan], Li, C.Y.[Chun-Yang], Sun, Q.[Qi],
Diurnal Variation Characteristics of Summer Precipitation and Related Statistical Analysis in the Ili Region, Xinjiang, Northwest China,
RS(15), No. 16, 2023, pp. 3954.
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Lu, X.Y.[Xin-Yu], Li, J.[Jing], Liu, Y.[Yan], Li, Y.[Yang], Huo, H.[Hong],
Quantitative Precipitation Estimation in the Tianshan Mountains Based on Machine Learning,
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Zhao, N.[Na], Chen, K.[Kainan],
How Do the Start Date, End Date, and Frequency of Precipitation Change across China under Warming?,
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Wang, Y.X.[Yi-Xuan], Shen, Y.J.[Yan-Jun], Zaman, M.[Muhammad], Guo, Y.[Ying], Zhang, X.L.[Xiao-Long],
Accounting for Non-Stationary Relationships between Precipitation and Environmental Variables for Downscaling Monthly TRMM Precipitation in the Upper Indus Basin,
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Yang, X.H.[Xiao-Hong], Sun, W.J.[Wei-Jun], Wu, J.[Jiake], Che, J.H.[Jia-Hang], Liu, M.Y.[Meng-Yuan], Zhang, Q.L.[Qing-Lin], Wang, Y.S.[Ying-Shan], Huai, B.J.[Bao-Juan], Wang, Y.Z.[Yu-Zhe], Wang, L.[Lei],
Evaluation and Projection of Precipitation in CMIP6 Models over the Qilian Mountains, China,
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Tian, B.[Bingru], Chen, H.[Hua], Yan, X.[Xin], Sheng, S.[Sheng], Lin, K.[Kangling],
A Downscaling-Merging Scheme for Monthly Precipitation Estimation with High Resolution Based on CBAM-ConvLSTM,
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Mao, Z.W.[Zhi-Wen], Huang, K.[Kaiming], Fang, J.J.[Jun-Jie], Zhang, Z.[Zirui], Cao, R.[Rang], Yi, F.[Fan],
An Observation of Precipitation during Cooling with Ka-Band Cloud Radar in Wuhan, China,
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Ha, J.H.[Ji-Hoon], Lee, H.[Hyesook],
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Cao, S.Y.[Shu-Ya], Wang, Y.[Yi], He, G.X.[Guang-Xin], Shen, P.F.[Pei-Feng], He, Y.[Yan], Wu, Y.[Yue],
Radar Characteristics and Causal Analysis of Two Consecutive Tornado Events Associated with Heavy Precipitation during the Mei-Yu Season,
RS(15), No. 23, 2023, pp. 5470.
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Wang, M.R.[Mei-Rong], Yao, X.P.[Xiu-Ping], Wang, J.[Jun], Liu, B.Q.[Bo-Qi], Zhu, Z.[Zhu], Zhou, S.[Shunwu], Yuan, J.S.[Jia-Shuang],
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Wu, B.[Bin], Du, S.[Shuang], Li, W.J.[Wen-Juan], Shen, Y.F.[Yi-Fan], Luo, L.[Ling], Li, Y.F.[Yan-Fang], Wei, M.[Ming], Wang, D.D.[Dan-Dan], Xi, L.[Lei],
The Kinematic and Microphysical Characteristics of Extremely Heavy Rainfall in Zhengzhou City on 20 July 2021 Observed with Dual-Polarization Radars and Disdrometers,
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Choi, J.[Jeongho], Lim, S.[Sanghun],
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Wang, J.N.[Jing-Nan], Wang, X.D.[Xiao-Dong], Guan, J.P.[Ji-Ping], Zhang, L.F.[Li-Feng], Zhang, F.[Fuhan], Chang, T.[Tao],
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Ling, X.D.[Xu-Dong], Li, C.R.[Chao-Rong], Yang, P.[Peng], Huang, Y.Y.[Yuan-Yuan], Qin, F.Q.[Feng-Qing],
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Wang, Z.M.[Zhi-Min], Yang, J.[Jing], Chen, F.J.[Feng-Jiao], Liu, Y.T.[Yi-Ting], Shi, L.J.[Li-Juan],
Characterizing the Macro and Micro Properties of Precipitation during the Landfall of Typhoon Lekima by Using GPM Observations,
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Ueki, A.[Ayano], Teshiba, M.S.[Michihiro S.], Schvartzman, D.[David], Kirstetter, P.E.[Pierre-Emmanuel], Palmer, R.D.[Robert D.], Osa, K.[Kohei], Yu, T.Y.[Tian-You], Cheong, B.[Boonleng], Bodine, D.J.[David J.],
Winter Precipitation Detection Using C- and X-Band Radar Measurements,
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Blanco-Gómez, P.[Pablo], Estrany-Planas, P.[Pau], Jiménez-García, J.L.[José Luis],
Cumulative Rainfall Radar Recalibration with Rain Gauge Data Using the Colour Pattern Regression Algorithm QGIS Plugin,
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Yang, L.[Liu], Sun, N.[Nan], Ma, M.[Ming], Cui, C.G.[Chun-Guang], Wang, B.[Bin], Wang, X.F.[Xiao-Fang], Fu, Y.F.[Yun-Fei],
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Kim, K.[Kwonil], Lee, G.[GyuWon],
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Yu, W.B.[Wen-Bin], Fu, D.[Daoyong], Zhang, C.J.[Cheng-Jun], Chen, Y.[Yadang], Liu, A.X.[Alex X.], An, J.J.[Jing-Jing],
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Jiang, Z.C.[Zhuo-Cheng], Ding, Y.M.[Yang-Min], Zhao, J.H.[Jun-Hui], Tian, Y.[Yue], Han, S.B.[Shao-Bo], Ozharar, S.[Sarper], Wang, T.[Ting], Moore, J.M.[James M.],
Seeing the Vibration from Fiber-Optic Cables: Rain Intensity Monitoring using Deep Frequency Filtering,
PBVS24(3017-3026)
IEEE DOI 2410
Optical fibers, Representation learning, Rain, Filtering, Optical fiber cables, Phase frequency detectors, Environmental perception BibRef

Sun, F.[Feng], Bai, C.[Cong], Song, Y.[Yi], Zhang, J.L.[Jing-Lin],
MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar,
ICPR22(97-103)
IEEE DOI 2212
Resistance, Training, Precipitation, Computational modeling, Semantics, Resists, Predictive models BibRef

Lin, C.W.[Chih-Wei], Chen, Z.S.[Zhong-Sheng], Huang, X.P.[Xiu-Ping], Yang, S.[Suhui],
Video-based Precipitation Intensity Recognition Using Dual-dimension and Dual-scale Spatiotemporal Convolutional Neural Network,
MMMod23(II: 496-509).
Springer DOI 2304
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Lin, C.W.[Chih-Wei], Yang, S.[Suhui],
Geospatial-Temporal Convolutional Neural Network for Video-Based Precipitation Intensity Recognition,
ICIP21(1119-1123)
IEEE DOI 2201
Measurement, Training, Convolution, Fuses, Surveillance, Feature extraction, Precipitation intensity, 3D Convolution BibRef

Chiu, P.C.[Po Chan], Selamat, A.[Ali], Krejcar, O.[Ondrej], Kuok, K.K.[King Kuok],
Imputation of Rainfall Data Using Improved Neural Network Algorithm,
HCAU20(390-406).
Springer DOI 2103
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Yasuno, T.[Takato], Ishii, A.[Akira], Amakata, M.[Masazumi],
Rain-code Fusion: Code-to-code Convlstm Forecasting Spatiotemporal Precipitation,
PatCast20(20-34).
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Thakur, P.K., Dhote, P.R., Roy, A., Aggarwal, S.P., Nikam, B.R., Garg, V., Chouksey, A., Pokhriyal, N., Jani, M., Chauhan, V., Thakur, N., Dogra, V.S., Rao, G.S., Chauhan, P., Kumar, A.S.,
Significance of Remote Sensing Based Precipitation and Terrain Information for Improved Hydrological and Hydrodynamic Simulation In Parts of Himalayan River Basins,
ISPRS20(B3:911-918).
DOI Link 2012
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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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Fu, Y.L.[Yan-Li], Jing, C.F.[Chang-Feng], 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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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

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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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 Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Raindrop Size Analysis .

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