22.9.6.6 Rainfall Analysis, Rain, Precipitation, Weather Radar

Chapter Contents (Back)
Rainfall. Precipitation. Weather. GPM: Global Precipitation Measurement. 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.

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

Gabella, M., Joss, J., Perona, G., Michaelides, S.,
Range Adjustment for Ground-Based Radar, Derived With the Spaceborne TRMM Precipitation Radar,
GeoRS(44), No. 1, January 2006, pp. 126-133.
IEEE DOI 0601
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

Boschetti, M.[Mirco], Nutini, F.[Francesco], Brivio, P.A.[Pietro Alessandro], Bartholomé, E.[Etienne], Stroppiana, D.[Daniela], Hoscilo, A.[Agata],
Identification of environmental anomaly hot spots in West Africa from time series of NDVI and rainfall,
PandRS(78), No. 1, April 2013, pp. 26-40.
Elsevier DOI 1304
West African Sahel; Satellite time series; Environmental anomalies; Change detection; Monitoring; Correlation; Ecosystem; Temporal BibRef

Stroppiana, D.[Daniela], Boschetti, M.[Mirco], Brivio, P.A.[Pietro A.], Nutini, F.[Francesco], Bartholome, E.[Etienne],
Analysis of earth observation time series to investigate the relation between rainfall, vegetation dynamic and streamflow in the Uele' basin (Central African Republic),
MultiTemp11(177-180).
IEEE DOI 1109
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

Mishra, A.K.,
A New Technique to Estimate Precipitation at Fine Scale Using Multifrequency Satellite Observations Over Indian Land and Oceanic Regions,
GeoRS(51), No. 7, 2013, pp. 4349-4358.
IEEE DOI 1307
Rain 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

de Coning, E.[Estelle],
Optimizing Satellite-Based Precipitation Estimation for Nowcasting of Rainfall and Flash Flood Events over the South African Domain,
RS(5), No. 11, 2013, pp. 5702-5724.
DOI Link 1312
BibRef

Tarnavsky, E.[Elena], Mulligan, M.[Mark], Ouessar, M.[Mohamed], Faye, A.[Abdoulaye], Black, E.[Emily],
Dynamic Hydrological Modeling in Drylands with TRMM Based Rainfall,
RS(5), No. 12, 2013, pp. 6691-6716.
DOI Link 1402
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

Cardellach, E., Tomas, S., Oliveras, S., Padulles, R., Rius, A., de la Torre-Juarez, M., Turk, F.J., Ao, C.O., Kursinski, E.R., Schreiner, B., Ector, D., Cucurull, L.,
Sensitivity of PAZ LEO Polarimetric GNSS Radio-Occultation Experiment to Precipitation Events,
GeoRS(53), No. 1, January 2015, pp. 190-206.
IEEE DOI 1410
atmospheric measuring apparatus BibRef

Xu, S.G.[Shi-Guang], Wu, C.[Chaoyang], Gonsamo, A.[Alemu], Shen, Y.[Yan],
Delineation of Rain Areas with TRMM Microwave Observations Based on PNN,
RS(6), No. 12, 2014, pp. 12118-12137.
DOI Link 1412
BibRef

Yong, B.[Bin], Chen, B.[Bo], Hong, Y.[Yang], Gourley, J.J.[Jonathan J.], Li, Z.[Zhe],
Impact of Missing Passive Microwave Sensors on Multi-Satellite Precipitation Retrieval Algorithm,
RS(7), No. 1, 2015, pp. 668-683.
DOI Link 1502
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

Mahmud, M.R.[Mohd Rizaludin], Numata, S.[Shinya], Matsuyama, H.[Hiroshi], Hosaka, T.[Tetsuro], Hashim, M.[Mazlan],
Assessment of Effective Seasonal Downscaling of TRMM Precipitation Data in Peninsular Malaysia,
RS(7), No. 4, 2015, pp. 4092-4111.
DOI Link 1505
BibRef

Shi, Y.[Yuli], Song, L.[Lei], Xia, Z.[Zhen], Lin, Y.[Yurong], Myneni, R.B.[Ranga B.], Choi, S.[Sungho], Wang, L.[Lin], Ni, X.[Xiliang], Lao, C.[Cailian], Yang, F.[Fengkai],
Mapping Annual Precipitation across Mainland China in the Period 2001-2010 from TRMM3B43 Product Using Spatial Downscaling Approach,
RS(7), No. 5, 2015, pp. 5849-5878.
DOI Link 1506
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

Verdin, A., Funk, C., Rajagopalan, B., Kleiber, W.,
Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems,
GeoRS(54), No. 5, May 2016, pp. 2552-2562.
IEEE DOI 1604
alarm systems 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

Takahashi, N., Hanado, H., Nakamura, K., Kanemaru, K., Nakagawa, K., Iguchi, T., Nio, T., Kubota, T., Oki, R., Yoshida, N.,
Overview of the End-of-Mission Observation Experiments of Precipitation Radar Onboard the Tropical Rainfall Measuring Mission Satellite,
GeoRS(54), No. 6, June 2016, pp. 3450-3459.
IEEE DOI 1606
artificial satellites 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

Hou, X.Y.[Xue-Yan], Long, D.[Di], Hong, Y.[Yang], Xie, H.J.[Hong-Jie],
Seasonal to Interannual Variability of Satellite-Based Precipitation Estimates in the Pacific Ocean Associated with ENSO from 1998 to 2014,
RS(8), No. 10, 2016, pp. 833.
DOI Link 1609
BibRef

Chen, J.[Jiaqi], Yong, B.[Bin], Ren, L.L.[Li-Liang], Wang, W.G.[Wei-Guang], Chen, B.[Bo], Lin, J.[Jianan], Yu, Z.B.[Zhong-Bo], Li, N.[Ning],
Using a Kalman Filter to Assimilate TRMM-Based Real-Time Satellite Precipitation Estimates over Jinghe Basin, China,
RS(8), No. 11, 2016, pp. 899.
DOI Link 1612
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

Hong, S., Shin, D.B., Park, B., So, D.,
Development of Prototype Algorithms for Quantitative Precipitation Nowcasts From AMI Onboard the GEO-KOMPSAT-2A Satellite,
GeoRS(54), No. 12, December 2016, pp. 7149-7156.
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

Park, N.W.[No-Wook], Kyriakidis, P.C.[Phaedon C.], Hong, S.[Sungwook],
Geostatistical Integration of Coarse Resolution Satellite Precipitation Products and Rain Gauge Data to Map Precipitation at Fine Spatial Resolutions,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Yuan, F.[Fei], Zhang, L.M.[Li-Min], Soe, K.M.W.[Khin Min Wun], Ren, L.L.[Li-Liang], Zhao, C.X.[Chong-Xu], Zhu, Y.H.[Yong-Hua], Jiang, S.[Shanhu], Liu, Y.[Yi],
Applications of TRMM- and GPM-Era Multiple-Satellite Precipitation Products for Flood Simulations at Sub-Daily Scales in a Sparsely Gauged Watershed in Myanmar,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Takahashi, N.,
Surface Echo Characteristics Derived From the Wide Swath Experiment of the Precipitation Radar Onboard TRMM Satellite During Its End-of-Mission Operation,
GeoRS(55), No. 4, April 2017, pp. 1988-1993.
IEEE DOI 1704
atmospheric precipitation 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

Burdanowitz, J.[Jörg], Klepp, C.[Christian], Bakan, S.[Stephan], Buehler, S.A.[Stefan A.],
Simulation of Ship-Track versus Satellite-Sensor Differences in Oceanic Precipitation Using an Island-Based Radar,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Ulloa, J.[Jacinto], Ballari, D.[Daniela], Campozano, L.[Lenin], Samaniego, E.[Esteban],
Two-Step Downscaling of Trmm 3b43 V7 Precipitation in Contrasting Climatic Regions With Sparse Monitoring: The Case of Ecuador in Tropical South America,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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

Duan, Y.J.[Ya-Juan], Barros, A.P.[Ana P.],
Understanding How Low-Level Clouds and Fog Modify the Diurnal Cycle of Orographic Precipitation Using In Situ and Satellite Observations,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Nash, D.[Deanna], Ye, H.[Hengchun], Fetzer, E.[Eric],
Spatial and Temporal Variability in Winter Precipitation across the Western United States during the Satellite Era,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Pan, X.[Xiaoduo], Li, X.[Xin], Cheng, G.D.[Guo-Dong], Hong, Y.[Yang],
Effects of 4D-Var Data Assimilation Using Remote Sensing Precipitation Products in a WRF Model over the Complex Terrain of an Arid Region River Basin,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
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

Yoshimoto, S.[Shuhei], Amarnath, G.[Giriraj],
Applications of Satellite-Based Rainfall Estimates in Flood Inundation Modeling: A Case Study in Mundeni Aru River Basin, Sri Lanka,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
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

He, Y.X.[Yu-Xiang], Zhang, Y.[Yu], Kuligowski, R.[Robert], Cifelli, R.[Robert], Kitzmiller, D.[David],
Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Zhang, Y.Y.[Yue-Yuan], Li, Y.G.[Yun-Gang], Ji, X.[Xuan], Luo, X.[Xian], Li, X.[Xue],
Fine-Resolution Precipitation Mapping in a Mountainous Watershed: Geostatistical Downscaling of TRMM Products Based on Environmental Variables,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Arslan, C.H., Aydin, K., Urbina, J.V., Dyrud, L.,
Satellite-Link Attenuation Measurement Technique for Estimating Rainfall Accumulation,
GeoRS(56), No. 2, February 2018, pp. 681-693.
IEEE DOI 1802
Doppler radar, attenuation measurement, geophysical signal processing, meteorological radar, rainfall estimation BibRef

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

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

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

Cánovas-García, F.[Fulgencio], García-Galiano, S.[Sandra], Alonso-Sarría, F.[Francisco],
Assessment of Satellite and Radar Quantitative Precipitation Estimates for Real Time Monitoring of Meteorological Extremes Over the Southeast of the Iberian Peninsula,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Lolli, S.[Simone], d'Adderio, L.P.[Leo Pio], Campbell, J.R.[James R.], Sicard, M.[Michaël], Welton, E.J.[Ellsworth J.], Binci, A.[Andrea], Rea, A.[Alessandro], Tokay, A.[Ali], Comerón, A.[Adolfo], Barragan, R.[Ruben], Baldasano, J.M.[Jose Maria], Gonzalez, S.[Sergi], Bech, J.[Joan], Afflitto, N.[Nicola], Lewis, J.R.[Jasper R.], Madonna, F.[Fabio],
Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Sanò, P.[Paolo], Panegrossi, G.[Giulia], Casella, D.[Daniele], Marra, A.C.[Anna C.], d'Adderio, L.P.[Leo P.], Rysman, J.F.[Jean F.], Dietrich, S.[Stefano],
The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Kimani, M.W.[Margaret Wambui], Hoedjes, J.C.B.[Joost C. B.], Su, Z.B.[Zhong-Bo],
Bayesian Bias Correction of Satellite Rainfall Estimates for Climate Studies,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Anagnostou, M.N.[Marios N.], Nikolopoulos, E.I.[Efthymios I.], Kalogiros, J.[John], Anagnostou, E.N.[Emmanouil N.], Marra, F.[Francesco], Mair, E.[Elisabeth], Bertoldi, G.[Giacomo], Tappeiner, U.[Ulrike], Borga, M.[Marco],
Advancing Precipitation Estimation and Streamflow Simulations in Complex Terrain with X-Band Dual-Polarization Radar Observations,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Tapiador, F.J.[Francisco J.], Navarro, A.[Andrés], Marcos, C.[Cecilia], Moreno, R.[Raúl],
Estimates of the Change in the Oceanic Precipitation Off the Coast of Europe due to Increasing Greenhouse Gas Emissions,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Tang, Y., Yang, X., Zhang, W., Zhang, G.,
Radar and Rain Gauge Merging-Based Precipitation Estimation via Geographical-Temporal Attention Continuous Conditional Random Field,
GeoRS(56), No. 9, September 2018, pp. 5558-5571.
IEEE DOI 1809
Estimation, Rain, Correlation, Radar measurements, Merging, Spatiotemporal phenomena, spatiotemporal correlation BibRef

Wen, G.[Guang], Chen, H.[Haonan], Zhang, G.[Guifu], Sun, J.M.[Ji-Ming],
An Inverse Model for Raindrop Size Distribution Retrieval with Polarimetric Variables,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Satgé, F.[Frédéric], Hussain, Y.[Yawar], Bonnet, M.P.[Marie-Paule], Hussain, B.M.[Babar M.], Martinez-Carvajal, H.[Hernan], Akhter, G.[Gulraiz], Uagoda, R.[Rogério],
Benefits of the Successive GPM Based Satellite Precipitation Estimates IMERG-V03, -V04, -V05 and GSMaP-V06, -V07 Over Diverse Geomorphic and Meteorological Regions of Pakistan,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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
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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
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Gazit, L., Messer, H.,
Sufficient Conditions for Reconstructing 2-D Rainfall Maps,
GeoRS(56), No. 11, November 2018, pp. 6334-6343.
IEEE DOI 1811
Rain, Attenuation, Microwave measurement, Topology, Attenuation measurement, Microwave communication, sparse reconstruction BibRef

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

Ricciardelli, E.[Elisabetta], Di Paola, F.[Francesco], Gentile, S.[Sabrina], Cersosimo, A.[Angela], Cimini, D.[Domenico], Gallucci, D.[Donatello], Geraldi, E.[Edoardo], Larosa, S.[Salvatore], Nilo, S.T.[Saverio Teodosio], Ripepi, E.[Ermann], Romano, F.[Filomena], Viggiano, M.[Mariassunta],
Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Kikuchi, H., Ushio, T., Mizutani, F., Wada, M.,
Improving the Accuracy of Rain Rate Estimates Using X-Band Phased-Array Weather Radar Network,
GeoRS(56), No. 12, December 2018, pp. 6986-6994.
IEEE DOI 1812
Rain, Estimation, Attenuation, Radar polarimetry, Radar remote sensing, Meteorological radar, Phased-array radar, remote sensing BibRef

Rahman, K.U.[Khalil Ur], Shang, S.[Songhao], Shahid, M.[Muhammad], Li, J.[Jiang],
Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Zhang, R.Y.[Ruan-Yu], Wang, Z.Z.[Zhen-Zhan], Hilburn, K.A.[Kyle A.],
Tropical Cyclone Rainfall Estimates from FY-3B MWRI Brightness Temperatures Using the WS Algorithm,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Cersosimo, A.[Angela], Larosa, S.[Salvatore], Romano, F.[Filomena], Cimini, D.[Domenico], Di Paola, F.[Francesco], Gallucci, D.[Donatello], Gentile, S.[Sabrina], Geraldi, E.[Edoardo], Nilo, S.T.[Saverio Teodosio], Ricciardelli, E.[Elisabetta], Ripepi, E.[Ermann], Viggiano, M.[Mariassunta],
Downscaling of Satellite OPEMW Surface Rain Intensity Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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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
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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,
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DOI Link 1901
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Aboutalebi, M.[Mahyar], Torres-Rua, A.F.[Alfonso F.], Allen, N.[Niel],
Spatial and Temporal Analysis of Precipitation and Effective Rainfall Using Gauge Observations, Satellite, and Gridded Climate Data for Agricultural Water Management in the Upper Colorado River Basin,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
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Moreira, A.[Andreise], Fontana, D.C.[Denise Cybis], Kuplich, T.M.[Tatiana Mora],
Wavelet approach applied to EVI/MODIS time series and meteorological data,
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Elsevier DOI 1901
Vegetation index, Grasslands, Wavelet transform, Wavelet coherence, Rainfall, Air temperature BibRef

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

Gou, Y.[Yabin], Ma, Y.Z.[Ying-Zhao], Chen, H.[Haonan], Yin, J.P.[Jia-Peng],
Utilization of a C-band Polarimetric Radar for Severe Rainfall Event Analysis in Complex Terrain over Eastern China,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
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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,
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DOI Link 1902
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Zhang, D.[Dan], Liu, X.M.[Xiao-Mang], Bai, P.[Peng], Li, X.H.[Xiang-Hu],
Suitability of Satellite-Based Precipitation Products for Water Balance Simulations Using Multiple Observations in a Humid Catchment,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
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Santos, C.A.G.[Celso Augusto Guimarães], Neto, R.M.B.[Reginaldo Moura Brasil], da Silva, R.M.[Richarde Marques], Costa, S.G.F.[Samir Gonçalves Fernandes],
Cluster Analysis Applied to Spatiotemporal Variability of Monthly Precipitation over Paraíba State Using Tropical Rainfall Measuring Mission (TRMM) Data,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
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Tapiador, F.J.[Francisco J.], Marcos, C.[Cecilia], Sancho, J.M.[Juan Manuel],
The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second-Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
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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
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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
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Wang, L.[Lei], Chen, R.S.[Ren-Sheng], Han, C.[Chuntan], Yang, Y.[Yong], Liu, J.F.[Jun-Feng], Liu, Z.[Zhangwen], Wang, X.[Xiqiang], Liu, G.[Guohua], Guo, S.H.[Shu-Hai],
An Improved Spatial-Temporal Downscaling Method for TRMM Precipitation Datasets in Alpine Regions: A Case Study in Northwestern China's Qilian Mountains,
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DOI Link 1904
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Mega, T., Ushio, T., Takahiro, M., Kubota, T., Kachi, M., Oki, R.,
Gauge-Adjusted Global Satellite Mapping of Precipitation,
GeoRS(57), No. 4, April 2019, pp. 1928-1935.
IEEE DOI 1904
hydrological techniques, hydrology, rain, remote sensing by radar, Gauge-adjusted Global satellite mapping, spaceborne radar BibRef

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

Wang, Y.B.[Yuan-Bing], Chen, Y.D.[Yao-Deng], Min, J.Z.[Jin-Zhong],
Impact of Assimilating China Precipitation Analysis Data Merging with Remote Sensing Products Using the 4DVar Method on the Prediction of Heavy Rainfall,
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DOI Link 1905
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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
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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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DOI Link 1905
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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

Ma, Q.M.[Qiu-Mei], Xiong, L.H.[Li-Hua], Xia, J.[Jun], Xiong, B.[Bin], Yang, H.[Han], Xu, C.Y.[Chong-Yu],
A Censored Shifted Mixture Distribution Mapping Method to Correct the Bias of Daily IMERG Satellite Precipitation Estimates,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
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Ji, L.[Lei], Chen, H.[Haonan], Li, L.[Lin], Chen, B.[Baojun], Xiao, X.[Xian], Chen, M.[Min], Zhang, G.[Guifu],
Raindrop Size Distributions and Rain Characteristics Observed by a PARSIVEL Disdrometer in Beijing, Northern China,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
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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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Shen, X., Huang, D.D., Song, B., Vincent, C., Togneri, R.,
3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites: Principle and Simulation Results,
GeoRS(57), No. 8, August 2019, pp. 5434-5446.
IEEE DOI 1908
atmospheric techniques, geophysics computing, microwave links, rain, signal reconstruction, 3-D tomographic reconstruction, signal-to-noise ratio (SNR) estimation BibRef

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

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

Chen, G.[Gang], Zhao, K.[Kun], Wen, L.[Long], Wang, M.Y.[Meng-Yao], Huang, H.[Hao], Wang, M.J.[Ming-Jun], Yang, Z.W.[Zheng-Wei], Zhang, G.F.[Gui-Fu], Zhang, P.F.[Peng-Fei], Lee, W.C.[Wen-Chau],
Microphysical Characteristics of Three Convective Events with Intense Rainfall Observed by Polarimetric Radar and Disdrometer in Eastern China,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
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Hayatbini, N.[Negin], Kong, B.[Bailey], Hsu, K.L.[Kuo-Lin], Nguyen, P.[Phu], Sorooshian, S.[Soroosh], Stephens, G.[Graeme], Fowlkes, C.C.[Charless C.], Nemani, R.[Ramakrishna], Ganguly, S.[Sangram],
Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries: PERSIANN-cGAN,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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Yang, Z.[Zhida], Liu, P.[Peng], Yang, Y.[Yi],
Convective/Stratiform Precipitation Classification Using Ground-Based Doppler Radar Data Based on the K-Nearest Neighbor Algorithm,
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DOI Link 1910
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Levizzani, V.[Vincenzo], Cattani, E.[Elsa],
Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate,
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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.
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Gou, Y.[Yabin], Chen, H.[Haonan], Zheng, J.[Jiafeng],
Polarimetric Radar Signatures and Performance of Various Radar Rainfall Estimators during an Extreme Precipitation Event over the Thousand-Island Lake Area in Eastern China,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Lagasio, M.[Martina], Parodi, A.[Antonio], Pulvirenti, L.[Luca], Meroni, A.N.[Agostino N.], Boni, G.[Giorgio], Pierdicca, N.[Nazzareno], Marzano, F.S.[Frank S.], Luini, L.[Lorenzo], Venuti, G.[Giovanna], Realini, E.[Eugenio], Gatti, A.[Andrea], Tagliaferro, G.[Giulio], Barindelli, S.[Stefano], Guarnieri, A.M.[Andrea Monti], Goga, K.[Klodiana], Terzo, O.[Olivier], Rucci, A.[Alessio], Passera, E.[Emanuele], Kranzlmueller, D.[Dieter], Rommen, B.[Bjorn],
A Synergistic Use of a High-Resolution Numerical Weather Prediction Model and High-Resolution Earth Observation Products to Improve Precipitation Forecast,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Belabid, N.[Nasreddine], Zhao, F.[Feng], Brocca, L.[Luca], Huang, Y.B.[Yan-Bo], Tan, Y.M.[Yu-Min],
Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
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Kumar, A.[Ashish], Ramsankaran, R.[Raaj], Brocca, L.[Luca], Munoz-Arriola, F.[Francisco],
A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture,
RS(11), No. 19, 2019, pp. xx-yy.
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,
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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,
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DOI Link 1911
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Moraux, A.[Arthur], Dewitte, S.[Steven], Cornelis, B.[Bruno], Munteanu, A.[Adrian],
Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements,
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Wu, J.P.[Jian-Ping], Liu, L.Y.[Li-Yang], Sun, C.H.[Cai-Hong], Su, Y.X.[Yong-Xian], Wang, C.J.[Chang-Jian], Yang, J.[Ji], Liao, J.Y.[Jia-Yuan], He, X.L.[Xiao-Lei], Li, Q.[Qian], Zhang, C.Q.[Chao-Qun], Zhang, H.O.[Hong-Ou],
Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China,
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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],
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Manandhar, S., Dev, S., Lee, Y.H., Meng, Y.S., Winkler, S.,
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GeoRS(57), No. 11, November 2019, pp. 9323-9331.
IEEE DOI 1911
Global Positioning System, Delays, Rain, Mathematical model, Support vector machines, Numerical models, Machine learning, remote sensing BibRef

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

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

Fan, D.[Dong], Wu, H.[Hua], Dong, G.[Guotao], Jiang, X.G.[Xiao-Guang], Xue, H.[Huazhu],
A Temporal Disaggregation Approach for TRMM Monthly Precipitation Products Using AMSR2 Soil Moisture Data,
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Zeng, H.W.[Hong-Wei], Wu, B.[Bingfang], Zhang, N.[Ning], Tian, F.[Fuyou], Phiri, E.[Elijah], Musakwa, W.[Walter], Zhang, M.[Miao], Zhu, L.[Liang], Mashonjowa, E.[Emmanuel],
Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine,
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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,
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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,
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Ebtehaj, A., Kummerow, C.D., Turk, F.J.,
Metric Learning for Approximation of Microwave Channel Error Covariance: Application for Satellite Retrieval of Drizzle and Light Snowfall,
GeoRS(58), No. 2, February 2020, pp. 903-912.
IEEE DOI 2001
Ocean temperature, Brightness temperature, Sea surface, Bayes methods, Microwave radiometry, Channel error covariance, satellite snowfall detection BibRef

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

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Overview of the New Version 3 NASA Micro-Pulse Lidar Network (MPLNET) Automatic Precipitation Detection Algorithm,
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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,
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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,
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Lu, S.[Sha], ten Veldhuis, M.C.[Marie-Claire], van de Giesen, N.[Nick], Heemink, A.[Arnold], Verlaan, M.[Martin],
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Giannaros, C.[Christos], Kotroni, V.[Vassiliki], Lagouvardos, K.[Konstantinos], Giannaros, T.M.[Theodore M.], Pikridas, C.[Christos],
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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,
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Lu, X.Y.[Xin-Yu], Tang, G.Q.[Guo-Qiang], Wang, X.Q.[Xiu-Qin], Liu, Y.[Yan], Wei, M.[Ming], Zhang, Y.X.[Ying-Xin],
The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products ,
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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,
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Huang, W.R.[Wan-Ru], Liu, P.Y.[Pin-Yi], Chang, Y.H.[Ya-Hui], Liu, C.Y.[Chian-Yi],
Evaluation and Application of Satellite Precipitation Products in Studying the Summer Precipitation Variations over Taiwan,
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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,
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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,
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Li, Y.[Yun], Guo, B.[Bin], Wang, K.[Kaicun], Wu, G.[Guocan], Shi, C.M.[Chun-Ming],
Performance of TRMM Product in Quantifying Frequency and Intensity of Precipitation during Daytime and Nighttime across China,
RS(12), No. 4, 2020, pp. xx-yy.
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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,
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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.
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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,
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Xu, M.C.[Meng-Chao], Liu, Q.[Qian], Sha, D.[Dexuan], Yu, M.Z.[Man-Zhu], Duffy, D.Q.[Daniel Q.], Putman, W.M.[William M.], Carroll, M.[Mark], Lee, T.[Tsengdar], Yang, C.[Chaowei],
PreciPatch: A Dictionary-based Precipitation Downscaling Method,
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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.
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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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Wehbe, Y.[Youssef], Temimi, M.[Marouane], Adler, R.F.[Robert F.],
Enhancing Precipitation Estimates Through the Fusion of Weather Radar, Satellite Retrievals, and Surface Parameters,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Li, Z.[Zhi], Chen, M.Y.[Meng-Ye], Gao, S.[Shang], Hong, Z.[Zhen], Tang, G.[Guoqiang], Wen, Y.X.[Yi-Xin], Gourley, J.J.[Jonathan J.], Hong, Y.[Yang],
Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
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
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Wang, K.H.[Keh-Han], Chu, T.[Ted], Yang, M.D.[Ming-Der], Chen, M.C.[Ming-Cheng],
Geostatistical Based Models for the Spatial Adjustment of Radar Rainfall Data in Typhoon Events at a High-Elevation River Watershed,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Ulloa, N.I.[Noel Ivan], Chiang, S.H.[Shou-Hao], Yun, S.H.[Sang-Ho],
Flood Proxy Mapping with Normalized Difference Sigma-Naught Index and Shannon's Entropy,
RS(12), No. 9, 2020, pp. xx-yy.
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Chen, X., Huang, W.,
Identification of Rain and Low-Backscatter Regions in X-Band Marine Radar Images: An Unsupervised Approach,
GeoRS(58), No. 6, June 2020, pp. 4225-4236.
IEEE DOI 2005
Pixel clustering, rain, self-organizing map (SOM), X-band marine radar BibRef

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

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

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

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

Wei, C.C.A.[Chih-Chi-Ang], Hsu, C.C.[Chen-Chia],
Extreme Gradient Boosting Model for Rain Retrieval using Radar Reflectivity from Various Elevation Angles,
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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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Boluwade, A.[Alaba],
Remote sensed-based rainfall estimations over the East and West Africa regions for disaster risk management,
PandRS(167), 2020, pp. 305-320.
Elsevier DOI 2008
Disaster management, Flood management, Precipitation analysis, Satellite observations, Uganda, Ghana, Satellite Rainfall, GPM BibRef

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

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

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

Levis, A.[Aviad], Schechner, Y.Y.[Yoav Y.], Davis, A.B.[Anthony B.], Loveridge, J.[Jesse],
Multi-View Polarimetric Scattering Cloud Tomography and Retrieval of Droplet Size,
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Le, X.H.[Xuan-Hien], Lee, G.[Giha], Jung, K.[Kwansue], An, H.U.[Hyun-Uk], Lee, S.[Seungsoo], Jung, Y.H.[Young-Hun],
Application of Convolutional Neural Network for Spatiotemporal Bias Correction of Daily Satellite-Based Precipitation,
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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,
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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,
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Short-term Precipitation Occurrence Prediction for Strong Convective Weather Using FY2-G Satellite Data: A Case Study of Shenzhen,south China,
ISPRS16(B6: 215-219).
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Fu, Y.L.[Yan-Li], Jing, C.[Changfeng], Du, M.Y.[Ming-Yi],
Urban Rain Gauge Siting Selection Based On GIS-multicriteria Analysis,
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Seo, J.Y., Lee, S.I.,
Multi-Platform Satellite Based Estimates of Runoff in Ungauged Areas,
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Lepoittevin, Y., Herlin, I.,
Modeling high rainfall regions for flash flood nowcasting,
MultiTemp15(1-4)
IEEE DOI 1511
atmospheric techniques BibRef

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

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

Ling, L.[Lloyd], Yusop, Z.[Zulkifli],
The Collective Visual Representation of Rainfall-Runoff Difference Model,
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Ozcan, O., Bookhagen, B., Musaoglu, N.,
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Darvishi, M., Ahmadi, G.R.,
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Mahrooghy, M.[Majid], Anantharaj, V.G.[Valentine G.], Younan, N.H.[Nicolas H.], Aanstoos, J.V.[James V.],
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Freitas, G.M., Avila, A.M.H., Papa, J.P., Falcao, A.X.,
Optimum-Path Forest-Based Rainfall Estimation,
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Evaluation and Comparison of Rainfall Analysis, Rain, Precipitation Products .


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