23.8.6.6 Rainfall Analysis, Rain, Precipitation, Weather Radar

Chapter Contents (Back)
Rainfall. Precipitation. Weather. Satellite:
See also Rainfall Analysis, Rain, Precipitation, Satellite Based Systems. Comparisons and evaluations:
See also Evaluation and Comparison of Rainfall Analysis, Rain, Precipitation Products. Water Vapor:
See also Atmospheric, Water Vapor, Precipitable Water Vapor, PWV. GPM: Global Precipitation Measurement.

Dell'Acqua, F., Gamba, P.,
Pyramidal rain field decomposition using radial basis function neural networks for tracking and forecasting purposes,
GeoRS(41), No. 4, April 2003, pp. 853-862.
IEEE Abstract. 0307
BibRef

Rose, C.R., Chandrasekar, V.,
Extension of GPM Dual-Frequency Iterative Retrieval Method With DSD-Profile Constraint,
GeoRS(44), No. 2, February 2006, pp. 328-335.
IEEE DOI 0602
Radar analysis. Global Precipitation Measurement. BibRef

Marzano, F.S., Weinman, J.A.,
Inversion of Spaceborne X-Band Synthetic Aperture Radar Measurements for Precipitation Remote Sensing Over Land,
GeoRS(46), No. 11, November 2008, pp. 3472-3487.
IEEE DOI 0812
BibRef

Kusiak, A., Wei, X., Verma, A.P., Roz, E.,
Modeling and Prediction of Rainfall Using Radar Reflectivity Data: A Data-Mining Approach,
GeoRS(51), No. 4, April 2013, pp. 2337-2342.
IEEE DOI 1304
BibRef

Lai, E.S.T., Li, P.W., Chan, C.M., Chu, M.C., Wong, W.H.,
Pattern Recognition of Radar Echoes for Short-range Rainfall Forecast,
ICPR00(Vol IV: 299-302).
IEEE DOI 0009
BibRef

Fitzner, D.[Daniel], Sester, M.[Monika], Haberlandt, U.[Uwe], Rabiei, E.[Ehsan],
Rainfall Estimation with a Geosensor Network of Cars: Theoretical Considerations and First Results,
PFG(2013), No. 2, 2013, pp. 93-103.
DOI Link 1305
BibRef

Bosisio, A.V., Fionda, E., Ciotti, P., Martellucci, A.,
A Sky Status Indicator to Detect Rain-Affected Atmospheric Thermal Emissions Observed at Ground,
GeoRS(51), No. 9, 2013, pp. 4643-4649.
IEEE DOI 1309
Atmospheric measurements BibRef

Draper, D.W., Newell, D.A., Teusch, D.A., Yoho, P.K.,
Global Precipitation Measurement Microwave Imager Prelaunch Hot Load Calibration,
GeoRS(51), No. 9, 2013, pp. 4731-4742.
IEEE DOI 1309
Calibration BibRef

Seto, S., Iguchi, T., Oki, T.,
The Basic Performance of a Precipitation Retrieval Algorithm for the Global Precipitation Measurement Mission's Single/Dual-Frequency Radar Measurements,
GeoRS(51), No. 12, 2013, pp. 5239-5251.
IEEE DOI 1312
atmospheric precipitation BibRef

Cherkassky, D., Ostrometzky, J., Messer, H.,
Precipitation Classification Using Measurements From Commercial Microwave Links,
GeoRS(52), No. 5, May 2014, pp. 2350-2356.
IEEE DOI 1403
Environmental monitoring BibRef

Indu, J., Kumar, D.N.,
Copula-Based Modeling of TMI Brightness Temperature With Rainfall Type,
GeoRS(52), No. 8, August 2014, pp. 4832-4845.
IEEE DOI 1403
Correlation BibRef

Louf, V., Pujol, O., Sauvageot, H., Riedi, J.,
Simulation of Airborne Radar Observations of Precipitating Systems at Various Frequency Bands,
GeoRS(52), No. 3, March 2014, pp. 1627-1634.
IEEE DOI 1403
airborne radar BibRef

Louf, V., Pujol, O., Sauvageot, H., Riedi, J.,
The Dual-Wavelength Method for Hailstorm Detection by Airborne Radar,
GeoRS(52), No. 11, November 2014, pp. 7327-7335.
IEEE DOI 1407
Airborne radar BibRef

Hoedjes, J.C.B.[Joost C. B.], Kooiman, A.[André], Maathuis, B.H.P.[Ben H. P.], Said, M.Y.[Mohammed Y.], Becht, R.[Robert], Limo, A.[Agnes], Mumo, M.[Mark], Nduhiu-Mathenge, J.[Joseph], Shaka, A.[Ayub], Su, B.[Bob],
A Conceptual Flash Flood Early Warning System for Africa, Based on Terrestrial Microwave Links and Flash Flood Guidance,
IJGI(3), No. 2, 2014, pp. 584-598.
DOI Link 1405
BibRef

Le, M., Chandrasekar, V.,
An Algorithm for Drop-Size Distribution Retrieval From GPM Dual-Frequency Precipitation Radar,
GeoRS(52), No. 11, November 2014, pp. 7170-7185.
IEEE DOI 1407
Atmospheric modeling BibRef

Dhanya, M., Chandrasekar, A.,
Improved Rainfall Simulation by Assimilating Oceansat-2 Surface Winds Using Ensemble Kalman Filter for a Heavy Rainfall Event over South India,
GeoRS(52), No. 12, December 2014, pp. 7721-7726.
IEEE DOI 1410
atmospheric temperature BibRef

Clinton, N.[Nicholas], Yu, L.[Le], Fu, H.H.[Hao-Huan], He, C.H.[Cong-Hui], Gong, P.[Peng],
Global-Scale Associations of Vegetation Phenology with Rainfall and Temperature at a High Spatio-Temporal Resolution,
RS(6), No. 8, 2014, pp. 7320-7338.
DOI Link 1410
BibRef

Jameson, A.R.,
A Bayesian Method for Upsizing Single Disdrometer Drop Size Counts for Rain Physics Studies and Areal Applications,
GeoRS(53), No. 1, January 2015, pp. 335-343.
IEEE DOI 1410
Bayes methods BibRef

Xu, F.[Feng], Li, X.F.[Xiao-Feng], Wang, P.[Peng], Yang, J.S.[Jing-Song], Pichel, W.G., Jin, Y.Q.[Ya-Qiu],
A Backscattering Model of Rainfall Over Rough Sea Surface for Synthetic Aperture Radar,
GeoRS(53), No. 6, June 2015, pp. 3042-3054.
IEEE DOI 1503
atmospheric techniques BibRef

Ebtehaj, A.M., Bras, R.L., Foufoula-Georgiou, E.,
Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation,
GeoRS(53), No. 7, July 2015, pp. 3720-3736.
IEEE DOI 1503
Brightness temperature BibRef

Bergé-Nguyen, M.[Muriel], Crétaux, J.F.[Jean-François],
Inundations in the Inner Niger Delta: Monitoring and Analysis Using MODIS and Global Precipitation Datasets,
RS(7), No. 2, 2015, pp. 2127-2151.
DOI Link 1503
BibRef

Chen, H., Chandrasekar, V.,
Estimation of Light Rainfall Using Ku-Band Dual-Polarization Radar,
GeoRS(53), No. 9, September 2015, pp. 5197-5208.
IEEE DOI 1506
Estimation BibRef

Chen, S.[Sheng], Zhang, J.[Jian], Mullens, E., Hong, Y.[Yang], Behrangi, A., Tian, Y.[Yudong], Hu, X.M.[Xiao-Ming], Hu, J.J.[Jun-Jun], Zhang, Z.X.[Zeng-Xin], Zhang, X.H.[Xin-Hua],
Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE,
GeoRS(53), No. 8, August 2015, pp. 4434-4443.
IEEE DOI 1506
atmospheric precipitation BibRef

Das, D., Ganguly, A.R., Obradovic, Z.,
A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States,
GeoRS(53), No. 12, December 2015, pp. 6689-6702.
IEEE DOI 1512
Bayes methods BibRef

Li, L.H.[Li-Hua], Heymsfield, G., Carswell, J., Schaubert, D.H., McLinden, M.L., Creticos, J., Perrine, M., Coon, M., Cervantes, J.I., Vega, M., Guimond, S., Tian, L.[Lin], Emory, A.,
The NASA High-Altitude Imaging Wind and Rain Airborne Profiler,
GeoRS(54), No. 1, January 2016, pp. 298-310.
IEEE DOI 1601
atmospheric measuring apparatus BibRef

Cissé, S.[Soukèye], Eymard, L.[Laurence], Ottlé, C.[Catherine], Ndione, J.A.[Jacques André], Gaye, A.T.[Amadou Thierno], Pinsard, F.[Françoise],
Rainfall Intra-Seasonal Variability and Vegetation Growth in the Ferlo Basin (Senegal),
RS(8), No. 1, 2016, pp. 66.
DOI Link 1602
BibRef

Gohil, B.S., Sikhakolli, R., Gangwar, R.K., Kiran Kumar, A.S.,
Oceanic Rain Flagging Using Radar Backscatter and Noise Measurements From Oceansat-2 Scatterometer,
GeoRS(54), No. 4, April 2016, pp. 2050-2055.
IEEE DOI 1604
Backscatter BibRef

Kim, S.W., Shin, D.B., Choi, Y.,
Effects of the Three-Dimensional Hydrometeor Distributions of Precipitating Clouds on Passive Microwave Rainfall Estimations,
GeoRS(54), No. 4, April 2016, pp. 1957-1966.
IEEE DOI 1604
Atmospheric modeling BibRef

Lv, A.[Aifeng], Zhou, L.[Lei],
A Rainfall Model Based on a Geographically Weighted Regression Algorithm for Rainfall Estimations over the Arid Qaidam Basin in China,
RS(8), No. 4, 2016, pp. 311.
DOI Link 1604
BibRef

Black, E.[Emily], Tarnavsky, E.[Elena], Maidment, R.[Ross], Greatrex, H.[Helen], Mookerjee, A.[Agrotosh], Quaife, T.[Tristan], Brown, M.[Matthew],
The Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia,
RS(8), No. 4, 2016, pp. 342.
DOI Link 1604
BibRef

Li, Y.[Yuan], Grimaldi, S.[Stefania], Walker, J.P.[Jeffrey P.], Pauwels, V.R.N.[Valentijn R. N.],
Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review,
RS(8), No. 6, 2016, pp. 456.
DOI Link 1608
BibRef

Oliveira, R.[Rômulo], Maggioni, V.[Viviana], Vila, D.[Daniel], Morales, C.[Carlos],
Characteristics and Diurnal Cycle of GPM Rainfall Estimates over the Central Amazon Region,
RS(8), No. 7, 2016, pp. 544.
DOI Link 1608
BibRef

Long, Y.[Yinping], Zhang, Y.[Yaonan], Ma, Q.[Qimin],
A Merging Framework for Rainfall Estimation at High Spatiotemporal Resolution for Distributed Hydrological Modeling in a Data-Scarce Area,
RS(8), No. 7, 2016, pp. 599.
DOI Link 1608
BibRef

Liu, G.R.[Gin-Rong], Chen, K.R.[Kwan-Ru], Kuo, T.H.[Tsung-Hua], Liu, C.Y.[Chian-Yi], Lin, T.H.[Tang-Huang], Chen, L.D.[Liang-De],
Improved tropical rainfall potential forecasting for mountainous regions,
SPIE(Newsroom), June 13, 2016
DOI Link 1608
A significantly more accurate model, which has been verified with rainfall measurements from a typhoon in Taiwan, is obtained by considering a topographic effect. BibRef

Williams, C.R., Beauchamp, R.M., Chandrasekar, V.,
Vertical Air Motions and Raindrop Size Distributions Estimated Using Mean Doppler Velocity Difference From 3- and 35-GHz Vertically Pointing Radars,
GeoRS(54), No. 10, October 2016, pp. 6048-6060.
IEEE DOI 1610
Doppler radar BibRef

Pervez, M.S.[Md Shahriar], Henebry, G.M.[Geoffrey M.],
Differential Heating in the Indian Ocean Differentially Modulates Precipitation in the Ganges and Brahmaputra Basins,
RS(8), No. 11, 2016, pp. 901.
DOI Link 1612
BibRef

Yuan, X.F.[Xue-Feng], Jian, J.S.[Jin-Shi], Jiang, G.[Gang],
Spatiotemporal Variation of Precipitation Regime in China from 1961 to 2014 from the Standardized Precipitation Index,
IJGI(5), No. 11, 2016, pp. 194.
DOI Link 1612
BibRef

Liao, L., Meneghini, R.,
A Dual-Wavelength Radar Technique to Detect Hydrometeor Phases,
GeoRS(54), No. 12, December 2016, pp. 7292-7298.
IEEE DOI 1612
atmospheric precipitation BibRef

Khan, A.W., Kumar, P., Varma, A.K.,
Impact of Assimilation of MADRAS Geophysical Parameters on Short Range WRF Model Forecasts,
GeoRS(54), No. 12, December 2016, pp. 6970-6975.
IEEE DOI 1612
atmospheric precipitation BibRef

Wang, X.M.[Xiao-Mi], Liu, Y.L.[Yao-Lin], Chen, Y.[Yiyun], Liu, Y.[Yi],
An Adaptive Density-Based Time Series Clustering Algorithm: A Case Study on Rainfall Patterns,
IJGI(5), No. 11, 2016, pp. 205.
DOI Link 1612
BibRef

Huang, H., Zhang, G., Zhao, K., Giangrande, S.E.,
A Hybrid Method to Estimate Specific Differential Phase and Rainfall With Linear Programming and Physics Constraints,
GeoRS(55), No. 1, January 2017, pp. 96-111.
IEEE DOI 1701
hydrological techniques BibRef

Beauchamp, R.M., Tanelli, S., Peral, E., Chandrasekar, V.,
Pulse Compression Waveform and Filter Optimization for Spaceborne Cloud and Precipitation Radar,
GeoRS(55), No. 2, February 2017, pp. 915-931.
IEEE DOI 1702
atmospheric precipitation BibRef

Poortinga, A.[Ate], Bastiaanssen, W.[Wim], Simons, G.[Gijs], Saah, D.[David], Senay, G.[Gabriel], Fenn, M.[Mark], Bean, B.[Brian], Kadyszewski, J.[John],
A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Meneghini, R., Kim, H.,
Minimizing the Standard Deviation of Spatially Averaged Surface Cross-Sectional Data From the Dual-Frequency Precipitation Radar,
GeoRS(55), No. 3, March 2017, pp. 1709-1716.
IEEE DOI 1703
Attenuation BibRef

Haddad, Z.S., Sy, O.O., Hristova-Veleva, S., Stephens, G.L.,
Derived Observations From Frequently Sampled Microwave Measurements of Precipitation: Part I: Relations to Atmospheric Thermodynamics,
GeoRS(55), No. 6, June 2017, pp. 3441-3453.
IEEE DOI 1706
Atmospheric measurements, Atmospheric modeling, Clouds, Extraterrestrial measurements, Radar measurements, Spaceborne radar, Atmospheric modeling, spaceborne, radar BibRef

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

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
BibRef

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

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.[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

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

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

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, 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

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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,
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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,
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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

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,
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Skripniková, K.[Katerina], Rezácová, D.[Daniela],
Comparison of Radar-Based Hail Detection Using Single- and Dual-Polarization,
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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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Watters, D.[Daniel], Battaglia, A.[Alessandro],
The Summertime Diurnal Cycle of Precipitation Derived from IMERG,
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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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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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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,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
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And: Correction: RS(12), No. 21, 2020, pp. xx-yy.
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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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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
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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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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
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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

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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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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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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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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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
BibRef

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
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
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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
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
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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
BibRef

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

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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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.
DOI Link 2007
BibRef

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,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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Zhang, W.[Wei], Liu, D.[Dan], Zheng, S.J.[Sheng-Jie], 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
BibRef

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

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

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
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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.[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
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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
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
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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
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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,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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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.[Jinglei], 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.
DOI Link 2012
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Precipitation Type Classification of Micro Rain Radar Data Using an Improved Doppler Spectral Processing Methodology,
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Kim, J.S.[Jong-Suk], Chen, A.[Anxiang], 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,
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Tao, R., Zhao, K., Huang, H., Wen, L., Zhang, G., Zhou, A., Chen, H.,
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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],
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RS(13), No. 1, 2021, pp. xx-yy.
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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],
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Zhao, N.[Na],
An Efficient Downscaling Scheme for High-Resolution Precipitation Estimates over a High Mountainous Watershed,
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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],
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Sokol, Z.[Zbynek], Szturc, J.[Jan], Orellana-Alvear, J.[Johanna], Popová, J.[Jana], Jurczyk, A.[Anna], Célleri, R.[Rolando],
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RS(13), No. 3, 2021, pp. xx-yy.
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Kumar, V.[Vinay], Sunilkumar, K., Sinha, T.[Tushar],
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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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Shin, K.[Kyuhee], Song, J.J.[Joon Jin], Bang, W.[Wonbae], Lee, G.[GyuWon],
Quantitative Precipitation Estimates Using Machine Learning Approaches with Operational Dual-Polarization Radar Data,
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.[Yuchen], Yu, F.L.[Fu-Liang],
Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity,
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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.
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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.
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Wang, X.H.[Xing-Han], Cong, P.T.[Pei-Tong], Jin, Y.[Yuhao], 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.
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Trebing, K.[Kevin], Sta?czyk, T.[Tomasz], Mehrkanoon, S.[Siamak],
SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture,
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Elsevier DOI 2104
Domain adaptation, Neural networks, Kernel methods, Coupling regularization BibRef

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RS(13), No. 7, 2021, pp. xx-yy.
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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],
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RS(13), No. 11, 2021, pp. xx-yy.
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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,
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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.
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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,
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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.[GyuWon],
Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements,
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Casanovas, C.[Candela], Salio, P.[Paola], Galligani, V.[Victoria], Dolan, B.[Brenda], Nesbitt, S.W.[Stephen W.],
Drop Size Distribution Variability in Central Argentina during RELAMPAGO-CACTI,
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Zhu, Z.[Ziwei], Qi, Y.[Youcun], Cao, Q.[Qing], Li, D.[Donghuan], Zhang, Z.[Zhe],
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GeoRS(59), No. 7, July 2021, pp. 5630-5641.
IEEE DOI 2106
Spaceborne radar, Radar measurements, Meteorological radar, Scattering, Atmospheric measurements, Particle measurements, scattering characteristics of hydrometeors BibRef

Yang, X.[Xuying], 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,
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Microphysical Characteristics of Rainfall Observed by a 2DVD Disdrometer during Different Seasons in Beijing, China,
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Na, W.[Wooyoung], Yoo, C.[Chulsang],
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Zhao, N.[Na], Jiao, Y.M.[Yi-Meng],
A New HASM-Based Downscaling Method for High-Resolution Precipitation Estimates,
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Rain-code Fusion: Code-to-code Convlstm Forecasting Spatiotemporal Precipitation,
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Sabzehee, F., Nafisi, V., Iran Pour, S., Vishwakarma, B.D.,
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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,
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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,
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Analyzing Spatiotemporal Patterns of Extreme Precipitation Events in Southeastern Anatolia,
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Application of radar polarimetry techniques for retrieval snow and rain characteristics in remote sensing,
SMPR13(111-115).
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Optimum-Path Forest-Based Rainfall Estimation,
WSSIP09(1-4).
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Rainfall Analysis, Rain, Precipitation, Satellite Based Systems .


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