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.[Yajuan],
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.[Yuxiang],
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
BibRef
Militino, A.F.[Ana F.],
Ugarte, M.D.[M. Dolores],
Pérez-Goya, U.[Unai],
Improving the Quality of Satellite Imagery Based on Ground-Truth Data
from Rain Gauge Stations,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
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
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
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
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
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
BibRef
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
BibRef
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
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
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
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
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
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
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
BibRef
Behrangi, A.[Ali],
Richardson, M.[Mark],
Observed High-Latitude Precipitation Amount and Pattern and CMIP5
Model Projections,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Gazit, L.,
Messer, H.,
Sufficient Conditions for Reconstructing 2-D Rainfall Maps,
GeoRS(56), No. 11, November 2018, pp. 6334-6343.
IEEE DOI
1811
Rain, Attenuation, Microwave measurement, Topology,
Attenuation measurement, Microwave communication,
sparse reconstruction
BibRef
Singh, R.,
Acharya, R.,
Development of a New Global Model for Estimating One-Minute Rainfall
Rate,
GeoRS(56), No. 11, November 2018, pp. 6462-6468.
IEEE DOI
1811
Rain, Chirp, Data models, Genetic algorithms, Spatial resolution,
Databases, Earth-space microwave links, genetic algorithm,
rain fade
BibRef
Ricciardelli, E.[Elisabetta],
Di Paola, F.[Francesco],
Gentile, S.[Sabrina],
Cersosimo, A.[Angela],
Cimini, D.[Domenico],
Gallucci, D.[Donatello],
Geraldi, E.[Edoardo],
Larosa, S.[Salvatore],
Nilo, S.T.[Saverio Teodosio],
Ripepi, E.[Ermann],
Romano, F.[Filomena],
Viggiano, M.[Mariassunta],
Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based
Observation Techniques in Support of Numerical Weather Prediction,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Kikuchi, H.,
Ushio, T.,
Mizutani, F.,
Wada, M.,
Improving the Accuracy of Rain Rate Estimates Using X-Band
Phased-Array Weather Radar Network,
GeoRS(56), No. 12, December 2018, pp. 6986-6994.
IEEE DOI
1812
Rain, Estimation, Attenuation, Radar polarimetry,
Radar remote sensing, Meteorological radar, Phased-array radar,
remote sensing
BibRef
Rahman, K.U.[Khalil Ur],
Shang, S.[Songhao],
Shahid, M.[Muhammad],
Li, J.[Jiang],
Developing an Ensemble Precipitation Algorithm from Satellite
Products and Its Topographical and Seasonal Evaluations Over Pakistan,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Zhang, R.Y.[Ruan-Yu],
Wang, Z.Z.[Zhen-Zhan],
Hilburn, K.A.[Kyle A.],
Tropical Cyclone Rainfall Estimates from FY-3B MWRI Brightness
Temperatures Using the WS Algorithm,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Cersosimo, A.[Angela],
Larosa, S.[Salvatore],
Romano, F.[Filomena],
Cimini, D.[Domenico],
Di Paola, F.[Francesco],
Gallucci, D.[Donatello],
Gentile, S.[Sabrina],
Geraldi, E.[Edoardo],
Nilo, S.T.[Saverio Teodosio],
Ricciardelli, E.[Elisabetta],
Ripepi, E.[Ermann],
Viggiano, M.[Mariassunta],
Downscaling of Satellite OPEMW Surface Rain Intensity Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Yuan, F.[Feng],
Lee, Y.H.[Yee Hui],
Meng, Y.S.[Yu Song],
Ong, J.T.[Jin Teong],
Characterization of S-Band Dual-Polarized Radar Data for the
Convective Rain Melting Layer Detection in A Tropical Region,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
He, K.[Kang],
Ma, Z.Q.[Zi-Qiang],
Zhao, R.[Ruiying],
Biswas, A.[Asim],
Teng, H.[Hongfen],
Xu, J.F.[Jun-Feng],
Yu, W.[Wu],
Shi, Z.[Zhou],
A Methodological Framework to Retrospectively Obtain Downscaled
Precipitation Estimates over the Tibetan Plateau,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Aboutalebi, M.[Mahyar],
Torres-Rua, A.F.[Alfonso F.],
Allen, N.[Niel],
Spatial and Temporal Analysis of Precipitation and Effective Rainfall
Using Gauge Observations, Satellite, and Gridded Climate Data for
Agricultural Water Management in the Upper Colorado River Basin,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Moreira, A.[Andreise],
Fontana, D.C.[Denise Cybis],
Kuplich, T.M.[Tatiana Mora],
Wavelet approach applied to EVI/MODIS time series and meteorological
data,
PandRS(147), 2019, pp. 335-344.
Elsevier DOI
1901
Vegetation index, Grasslands, Wavelet transform,
Wavelet coherence, Rainfall, Air temperature
BibRef
Li, N.[Nan],
Wang, Z.[Zhenhui],
Chen, X.[Xi],
Austin, G.[Geoffrey],
Studies of General Precipitation Features with TRMM PR Data:
An Extensive Overview,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link
1901
Survey, Precipitation.
BibRef
Gou, Y.[Yabin],
Ma, Y.Z.[Ying-Zhao],
Chen, H.[Haonan],
Yin, J.P.[Jia-Peng],
Utilization of a C-band Polarimetric Radar for Severe Rainfall Event
Analysis in Complex Terrain over Eastern China,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Zhao, G.S.[Guang-Shuai],
Liu, M.[Min],
Shi, P.[Peili],
Zong, N.[Ning],
Wang, J.S.[Jing-Sheng],
Wu, J.S.[Jian-Shuang],
Zhang, X.[Xianzhou],
Spatial-Temporal Variation of ANPP and Rain-Use Efficiency Along a
Precipitation Gradient on Changtang Plateau, Tibet,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Zhang, D.[Dan],
Liu, X.[Xiaomang],
Bai, P.[Peng],
Li, X.H.[Xiang-Hu],
Suitability of Satellite-Based Precipitation Products for Water
Balance Simulations Using Multiple Observations in a Humid Catchment,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Santos, C.A.G.[Celso Augusto Guimarães],
Neto, R.M.B.[Reginaldo Moura Brasil],
da Silva, R.M.[Richarde Marques],
Costa, S.G.F.[Samir Gonçalves Fernandes],
Cluster Analysis Applied to Spatiotemporal Variability of Monthly
Precipitation over Paraíba State Using Tropical Rainfall Measuring
Mission (TRMM) Data,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Tapiador, F.J.[Francisco J.],
Marcos, C.[Cecilia],
Sancho, J.M.[Juan Manuel],
The Convective Rainfall Rate from Cloud Physical Properties Algorithm
for Meteosat Second-Generation Satellites: Microphysical Basis and
Intercomparisons using an Object-Based Method,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Mazzoglio, P.[Paola],
Laio, F.[Francesco],
Balbo, S.[Simone],
Boccardo, P.[Piero],
Disabato, F.[Franca],
Improving an Extreme Rainfall Detection System with GPM IMERG data,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Zhang, A.[Asi],
Hu, J.[Junjun],
Chen, S.[Sheng],
Hu, D.M.[Dong-Ming],
Liang, Z.[Zhenqing],
Huang, C.[Chaoying],
Xiao, L.[Liusi],
Min, C.[Chao],
Li, H.[Haowen],
Statistical Characteristics of Raindrop Size Distribution in the
Monsoon Season Observed in Southern China,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Wang, L.[Lei],
Chen, R.S.[Ren-Sheng],
Han, C.[Chuntan],
Yang, Y.[Yong],
Liu, J.F.[Jun-Feng],
Liu, Z.[Zhangwen],
Wang, X.[Xiqiang],
Liu, G.[Guohua],
Guo, S.H.[Shu-Hai],
An Improved Spatial-Temporal Downscaling Method for TRMM
Precipitation Datasets in Alpine Regions: A Case Study in
Northwestern China's Qilian Mountains,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Mega, T.,
Ushio, T.,
Takahiro, M.,
Kubota, T.,
Kachi, M.,
Oki, R.,
Gauge-Adjusted Global Satellite Mapping of Precipitation,
GeoRS(57), No. 4, April 2019, pp. 1928-1935.
IEEE DOI
1904
hydrological techniques, hydrology, rain, remote sensing by radar,
Gauge-adjusted Global satellite mapping,
spaceborne radar
BibRef
Dong, H.,
Zou, X.,
Striping Noise Mitigation for Tropical Rainfall Measuring Mission
Microwave Imager Observations,
GeoRS(57), No. 4, April 2019, pp. 2449-2463.
IEEE DOI
1904
atmospheric techniques, environmental monitoring (geophysics),
feature extraction, geophysical signal processing, rain,
Tropical Rainfall Measuring Mission Microwave Imager (TMI)
BibRef
Wang, Y.B.[Yuan-Bing],
Chen, Y.D.[Yao-Deng],
Min, J.Z.[Jin-Zhong],
Impact of Assimilating China Precipitation Analysis Data Merging with
Remote Sensing Products Using the 4DVar Method on the Prediction of
Heavy Rainfall,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Min, M.,
Bai, C.,
Guo, J.,
Sun, F.,
Liu, C.,
Wang, F.,
Xu, H.,
Tang, S.,
Li, B.,
Di, D.,
Dong, L.,
Li, J.,
Estimating Summertime Precipitation from Himawari-8 and Global
Forecast System Based on Machine Learning,
GeoRS(57), No. 5, May 2019, pp. 2557-2570.
IEEE DOI
1905
atmospheric techniques, learning (artificial intelligence), rain,
weather forecasting, advanced machine learning method,
random forests (RFs)
BibRef
Yin, J.,
Unal, C.,
Russchenberg, H.,
Object-Orientated Filter Design in Spectral Domain for Polarimetric
Weather Radar,
GeoRS(57), No. 5, May 2019, pp. 2725-2740.
IEEE DOI
1905
atmospheric techniques, computational complexity, Doppler radar,
geophysical signal processing, mathematical morphology,
weak precipitation signal
BibRef
Gonzalez, S.[Sergi],
Bech, J.[Joan],
Udina, M.[Mireia],
Codina, B.[Bernat],
Paci, A.[Alexandre],
Trapero, L.[Laura],
Decoupling between Precipitation Processes and Mountain Wave Induced
Circulations Observed with a Vertically Pointing K-Band Doppler Radar,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Bhardwaj, A.[Amit],
Misra, V.[Vasubandhu],
Monitoring the Indian Summer Monsoon Evolution at the Granularity of
the Indian Meteorological Sub-divisions using Remotely Sensed
Rainfall Products,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Ringerud, S.,
Kulie, M.S.,
Randel, D.L.,
Skofronick-Jackson, G.M.,
Kummerow, C.D.,
Effects of Ice Particle Representation on Passive Microwave
Precipitation Retrieval in a Bayesian Scheme,
GeoRS(57), No. 6, June 2019, pp. 3619-3632.
IEEE DOI
1906
Databases, Ice, Microwave radiometry,
Microwave FET integrated circuits,
remote sensing
BibRef
Ma, Q.M.[Qiu-Mei],
Xiong, L.H.[Li-Hua],
Xia, J.[Jun],
Xiong, B.[Bin],
Yang, H.[Han],
Xu, C.Y.[Chong-Yu],
A Censored Shifted Mixture Distribution Mapping Method to Correct the
Bias of Daily IMERG Satellite Precipitation Estimates,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Ji, L.[Lei],
Chen, H.[Haonan],
Li, L.[Lin],
Chen, B.[Baojun],
Xiao, X.[Xian],
Chen, M.[Min],
Zhang, G.[Guifu],
Raindrop Size Distributions and Rain Characteristics Observed by a
PARSIVEL Disdrometer in Beijing, Northern China,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Paliaga, G.[Guido],
Donadio, C.[Carlo],
Bernardi, M.[Marina],
Faccini, F.[Francesco],
High-Resolution Lightning Detection and Possible Relationship with
Rainfall Events over the Central Mediterranean Area,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Skripniková, K.[Katerina],
Rezácová, D.[Daniela],
Comparison of Radar-Based Hail Detection Using Single- and
Dual-Polarization,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Shen, X.,
Huang, D.D.,
Song, B.,
Vincent, C.,
Togneri, R.,
3-D Tomographic Reconstruction of Rain Field Using Microwave Signals
From LEO Satellites: Principle and Simulation Results,
GeoRS(57), No. 8, August 2019, pp. 5434-5446.
IEEE DOI
1908
atmospheric techniques, geophysics computing, microwave links,
rain, signal reconstruction, 3-D tomographic reconstruction,
signal-to-noise ratio (SNR) estimation
BibRef
Orellana-Alvear, J.[Johanna],
Célleri, R.[Rolando],
Rollenbeck, R.[Rütger],
Bendix, J.[Jörg],
Optimization of X-Band Radar Rainfall Retrieval in the Southern Andes
of Ecuador Using a Random Forest Model,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Watters, D.[Daniel],
Battaglia, A.[Alessandro],
The Summertime Diurnal Cycle of Precipitation Derived from IMERG,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
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
BibRef
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
BibRef
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
BibRef
Levizzani, V.[Vincenzo],
Cattani, E.[Elsa],
Satellite Remote Sensing of Precipitation and the Terrestrial Water
Cycle in a Changing Climate,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Kolbe, C.[Christine],
Thies, B.[Boris],
Egli, S.[Sebastian],
Lehnert, L.[Lukas],
Schulz, H.M.[Hans Martin],
Bendix, J.[Jörg],
Precipitation Retrieval over the Tibetan Plateau from the
Geostationary Orbit: Part 1: Precipitation Area Delineation with
Elektro-L2 and Insat-3D,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Gou, Y.[Yabin],
Chen, H.[Haonan],
Zheng, J.[Jiafeng],
Polarimetric Radar Signatures and Performance of Various Radar
Rainfall Estimators during an Extreme Precipitation Event over the
Thousand-Island Lake Area in Eastern China,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Lagasio, M.[Martina],
Parodi, A.[Antonio],
Pulvirenti, L.[Luca],
Meroni, A.N.[Agostino N.],
Boni, G.[Giorgio],
Pierdicca, N.[Nazzareno],
Marzano, F.S.[Frank S.],
Luini, L.[Lorenzo],
Venuti, G.[Giovanna],
Realini, E.[Eugenio],
Gatti, A.[Andrea],
Tagliaferro, G.[Giulio],
Barindelli, S.[Stefano],
Guarnieri, A.M.[Andrea Monti],
Goga, K.[Klodiana],
Terzo, O.[Olivier],
Rucci, A.[Alessio],
Passera, E.[Emanuele],
Kranzlmueller, D.[Dieter],
Rommen, B.[Bjorn],
A Synergistic Use of a High-Resolution Numerical Weather Prediction
Model and High-Resolution Earth Observation Products to Improve
Precipitation Forecast,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link
1910
BibRef
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
BibRef
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
BibRef
Turini, N.[Nazli],
Thies, B.[Boris],
Bendix, J.[Joerg],
Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM
IMERG Based on Machine Learning: Case Study of Iran,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
An, H.[Hao],
Yan, W.[Wei],
Bian, S.S.[Shuang-Shuang],
Ma, S.[Shuo],
Rain Monitoring with Polarimetric GNSS Signals:
Ground-Based Experimental Research,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Liu, Q.[Qian],
Li, Y.[Yun],
Yu, M.[Manzhu],
Chiu, L.S.[Long S.],
Hao, X.J.[Xian-Jun],
Duffy, D.Q.[Daniel Q.],
Yang, C.[Chaowei],
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
BibRef
Moraux, A.[Arthur],
Dewitte, S.[Steven],
Cornelis, B.[Bruno],
Munteanu, A.[Adrian],
Deep Learning for Precipitation Estimation from Satellite and Rain
Gauges Measurements,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Wu, J.P.[Jian-Ping],
Liu, L.Y.[Li-Yang],
Sun, C.H.[Cai-Hong],
Su, Y.X.[Yong-Xian],
Wang, C.J.[Chang-Jian],
Yang, J.[Ji],
Liao, J.Y.[Jia-Yuan],
He, X.L.[Xiao-Lei],
Li, Q.[Qian],
Zhang, C.Q.[Chao-Qun],
Zhang, H.O.[Hong-Ou],
Estimating Rainfall Interception of Vegetation Canopy from MODIS
Imageries in Southern China,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Le Coz, C.[Camille],
Heemink, A.[Arnold],
Verlaan, M.[Martin],
ten Veldhuis, M.C.[Marie-Claire],
van de Giesen, N.[Nick],
Correcting Position Error in Precipitation Data Using Image Morphing,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Manandhar, S.,
Dev, S.,
Lee, Y.H.,
Meng, Y.S.,
Winkler, S.,
A Data-Driven Approach for Accurate Rainfall Prediction,
GeoRS(57), No. 11, November 2019, pp. 9323-9331.
IEEE DOI
1911
Global Positioning System, Delays, Rain, Mathematical model,
Support vector machines, Numerical models, Machine learning,
remote sensing
BibRef
Hsieh, C.,
Chi, P.,
Chen, C.,
Weng, C.,
Wang, L.,
Automatic Precipitation Measurement Based on Raindrop Imaging and
Artificial Intelligence,
GeoRS(57), No. 12, December 2019, pp. 10276-10284.
IEEE DOI
1912
Trajectory, Atmospheric measurements, Cameras,
Particle measurements, Feature extraction, Monitoring, Estimation,
Rainfall rate
BibRef
Pullman, M.,
Gurung, I.,
Maskey, M.,
Ramachandran, R.,
Christopher, S.A.,
Applying Deep Learning to Hail Detection: A Case Study,
GeoRS(57), No. 12, December 2019, pp. 10218-10225.
IEEE DOI
1912
Deep learning, Storms, Weather forecasting, Satellites,
Spaceborne radar, Artificial intelligence, event detection, neural networks
BibRef
Fan, D.[Dong],
Wu, H.[Hua],
Dong, G.[Guotao],
Jiang, X.G.[Xiao-Guang],
Xue, H.[Huazhu],
A Temporal Disaggregation Approach for TRMM Monthly Precipitation
Products Using AMSR2 Soil Moisture Data,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
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
BibRef
Seidel, J.[Jochen],
Trachte, K.[Katja],
Orellana-Alvear, J.[Johanna],
Figueroa, R.[Rafael],
Célleri, R.[Rolando],
Bendix, J.[Jörg],
Fernandez, C.[Ciro],
Huggel, C.[Christian],
Precipitation Characteristics at Two Locations in the Tropical Andes
by Means of Vertically Pointing Micro-Rain Radar Observations,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Zheng, J.F.[Jia-Feng],
Liu, L.P.[Li-Ping],
Chen, H.[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
BibRef
Ebtehaj, A.,
Kummerow, C.D.,
Turk, F.J.,
Metric Learning for Approximation of Microwave Channel Error
Covariance: Application for Satellite Retrieval of Drizzle and Light
Snowfall,
GeoRS(58), No. 2, February 2020, pp. 903-912.
IEEE DOI
2001
Ocean temperature, Brightness temperature, Sea surface,
Bayes methods, Microwave radiometry, Channel error covariance,
satellite snowfall detection
BibRef
Chen, H.,
Chandrasekar, V.,
Cifelli, R.,
Xie, P.,
A Machine Learning System for Precipitation Estimation Using
Satellite and Ground Radar Network Observations,
GeoRS(58), No. 2, February 2020, pp. 982-994.
IEEE DOI
2001
Satellites, Spaceborne radar, Meteorology,
Extraterrestrial measurements, Sea measurements,
satellite observations
BibRef
Lolli, S.[Simone],
Vivone, G.[Gemine],
Lewis, J.R.[Jasper R.],
Sicard, M.[Michaël],
Welton, E.J.[Ellsworth J.],
Campbell, J.R.[James R.],
Comerón, A.[Adolfo],
d'Adderio, L.P.[Leo Pio],
Tokay, A.[Ali],
Giunta, A.[Aldo],
Pappalardo, G.[Gelsomina],
Overview of the New Version 3 NASA Micro-Pulse Lidar Network (MPLNET)
Automatic Precipitation Detection Algorithm,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link
2001
BibRef
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
BibRef
Lanfredi, M.[Maria],
Coluzzi, R.[Rosa],
Imbrenda, V.[Vito],
Macchiato, M.[Maria],
Simoniello, T.[Tiziana],
Analyzing Space-Time Coherence in Precipitation Seasonality across
Different European Climates,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
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
BibRef
Giannaros, C.[Christos],
Kotroni, V.[Vassiliki],
Lagouvardos, K.[Konstantinos],
Giannaros, T.M.[Theodore M.],
Pikridas, C.[Christos],
Assessing the Impact of GNSS ZTD Data Assimilation into the WRF
Modeling System during High-Impact Rainfall Events over Greece,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Chen, M.Y.[Meng-Ye],
Nabih, S.[Soumaya],
Brauer, N.S.[Noah S.],
Gao, S.[Shang],
Gourley, J.J.[Jonathan J.],
Hong, Z.[Zhen],
Kolar, R.L.[Randall L.],
Hong, Y.[Yang],
Can Remote Sensing Technologies Capture the Extreme Precipitation
Event and Its Cascading Hydrological Response? A Case Study of
Hurricane Harvey Using EF5 Modeling Framework,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Lu, X.Y.[Xin-Yu],
Tang, G.Q.[Guo-Qiang],
Wang, X.Q.[Xiu-Qin],
Liu, Y.[Yan],
Wei, M.[Ming],
Zhang, Y.X.[Ying-Xin],
The Development of a Two-Step Merging and Downscaling Method for
Satellite Precipitation Products ,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Yang, Y.F.[Yan-Fen],
Wu, J.[Jing],
Bai, L.[Lei],
Wang, B.[Bing],
Reliability of Gridded Precipitation Products in the Yellow River
Basin, China,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Huang, W.R.[Wan-Ru],
Liu, P.Y.[Pin-Yi],
Chang, Y.H.[Ya-Hui],
Liu, C.Y.[Chian-Yi],
Evaluation and Application of Satellite Precipitation Products in
Studying the Summer Precipitation Variations over Taiwan,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Bieber, P.[Paul],
Seifried, T.M.[Teresa M.],
Burkart, J.[Julia],
Gratzl, J.[Jürgen],
Kasper-Giebl, A.[Anne],
Schmale, D.G.[David G.],
Grothe, H.[Hinrich],
A Drone-Based Bioaerosol Sampling System to Monitor Ice Nucleation
Particles in the Lower Atmosphere,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Qiu, Q.T.[Qing-Tai],
Liu, J.[Jia],
Tian, J.[Jiyang],
Jiao, Y.[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
BibRef
Li, Y.[Yun],
Guo, B.[Bin],
Wang, K.[Kaicun],
Wu, G.[Guocan],
Shi, C.M.[Chun-Ming],
Performance of TRMM Product in Quantifying Frequency and Intensity of
Precipitation during Daytime and Nighttime across China,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Dehghani, M.[Majid],
Salehi, S.[Somayeh],
Mosavi, A.[Amir],
Nabipour, N.[Narjes],
Shamshirband, S.[Shahaboddin],
Ghamisi, P.[Pedram],
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation
with Climate Indices,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Battaglia, A.,
Mroz, K.,
Watters, D.,
Ardhuin, F.,
GPM-Derived Climatology of Attenuation Due to Clouds and
Precipitation at Ka-Band,
GeoRS(58), No. 3, March 2020, pp. 1812-1820.
IEEE DOI
2003
Attenuation, cloud and precipitation, Ka-band, radar
BibRef
Banerjee, A.[Abhishek],
Chen, R.[Ruishan],
Meadows, M.E.[Michael E.],
Singh, R.B.,
Mal, S.[Suraj],
Sengupta, D.[Dhritiraj],
An Analysis of Long-Term Rainfall Trends and Variability in the
Uttarakhand Himalaya Using Google Earth Engine,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Chen, X.,
Huang, W.,
Zhao, C.,
Tian, Y.,
Rain Detection From X-Band Marine Radar Images:
A Support Vector Machine-Based Approach,
GeoRS(58), No. 3, March 2020, pp. 2115-2123.
IEEE DOI
2003
Rain detection, support vector machines (SVMs), X-band marine radar
BibRef
Wei, C.C.A.[Chih-Chi-Ang],
Hsieh, P.Y.[Po-Yu],
Estimation of Hourly Rainfall During Typhoons Using Radar
Mosaic-Based Convolutional Neural Networks,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Xu, M.C.[Meng-Chao],
Liu, Q.[Qian],
Sha, D.[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
BibRef
Peng, L.,
Jiang, A.,
Yi, Q.,
Wang, M.,
Cumulative Rain Density Sensing Network for Single Image Derain,
SPLetters(27), 2020, pp. 406-410.
IEEE DOI
2004
Rain, Convolution, Encoding, Kernel, Training, Mathematical model,
Sensors, Rain removal, Image enhancement, Image restoration,
Rain-streaks
BibRef
Choi, Y.,
Shin, D.,
Kim, J.,
Joh, M.,
Passive Microwave Precipitation Retrieval Algorithm With A~Priori
Databases of Various Cloud Microphysics Schemes: Tropical Cyclone
Applications,
GeoRS(58), No. 4, April 2020, pp. 2366-2382.
IEEE DOI
2004
Databases, Clouds, Rain, Customer relationship management,
Microwave theory and techniques, Tropical cyclones,
tropical cyclone precipitation measurements
BibRef
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
BibRef
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, Y.D.[Yao-Deng],
Yu, Z.[Zheng],
Han, W.[Wei],
He, J.[Jing],
Chen, M.[Min],
Case Study of a Retrieval Method of 3D Proxy Reflectivity from FY-4A
Lightning Data and Its Impact on the Assimilation and Forecasting for
Severe Rainfall Storms,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Chen, Z.Q.[Ze-Qiang],
Lin, X.[Xin],
Xiong, C.[Chang],
Chen, N.C.[Neng-Cheng],
Modeling the Relationship of Precipitation and Water Level Using Grid
Precipitation Products with a Neural Network Model,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
BibRef
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
BibRef
Wang, K.H.[Keh-Han],
Chu, T.[Ted],
Yang, M.D.[Ming-Der],
Chen, M.C.[Ming-Cheng],
Geostatistical Based Models for the Spatial Adjustment of Radar
Rainfall Data in Typhoon Events at a High-Elevation River Watershed,
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
BibRef
Chen, X.,
Huang, W.,
Identification of Rain and Low-Backscatter Regions in X-Band Marine
Radar Images: An Unsupervised Approach,
GeoRS(58), No. 6, June 2020, pp. 4225-4236.
IEEE DOI
2005
Pixel clustering, rain, self-organizing map (SOM), X-band marine radar
BibRef
Mosaffa, H.[Hamidreza],
Sadeghi, M.[Mojtaba],
Hayatbini, N.[Negin],
Gorooh, V.A.[Vesta Afzali],
Asanjan, A.A.[Ata Akbari],
Nguyen, P.[Phu],
Sorooshian, S.[Soroosh],
Spatiotemporal Variations of Precipitation over Iran Using the
High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR
Dataset,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
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
BibRef
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
Chen, K.[Kai],
Liu, J.[Jun],
Guo, S.X.[Shan-Xin],
Chen, J.S.[Jin-Song],
Liu, P.[Ping],
Qian, J.[Jing],
Chen, H.J.[Hui-Juan],
Sun, B.[Bo],
Short-term Precipitation Occurrence Prediction for Strong Convective
Weather Using FY2-G Satellite Data: A Case Study of Shenzhen,south
China,
ISPRS16(B6: 215-219).
DOI Link
1610
BibRef
Fu, Y.L.[Yan-Li],
Jing, C.[Changfeng],
Du, M.Y.[Ming-Yi],
Urban Rain Gauge Siting Selection Based On GIS-multicriteria Analysis,
ISPRS16(B2: 185-190).
DOI Link
1610
BibRef
Seo, J.Y.,
Lee, S.I.,
Multi-Platform Satellite Based Estimates of Runoff in Ungauged Areas,
GeoInfo15(61-62).
DOI Link
1602
BibRef
Lepoittevin, Y.,
Herlin, I.,
Modeling high rainfall regions for flash flood nowcasting,
MultiTemp15(1-4)
IEEE DOI
1511
atmospheric techniques
BibRef
Hedir, M.,
Haddad, B.,
Ground echoes filtering using the completed local binary pattern and
the support vector machine,
MultiTemp15(1-4)
IEEE DOI
1511
atmospheric precipitation
BibRef
Louise, L.,
Christian, B.,
Danny, L.S.,
Agnes, B.,
Seydou, B.T.,
Testing satellite rainfall estimates for yield simulation of a
rainfed cereal in West Africa,
MultiTemp15(1-4)
IEEE DOI
1511
crops
BibRef
Ling, L.[Lloyd],
Yusop, Z.[Zulkifli],
The Collective Visual Representation of Rainfall-Runoff Difference
Model,
IVIC15(271-282).
Springer DOI
1511
BibRef
Ozcan, O.,
Bookhagen, B.,
Musaoglu, N.,
Analyzing Spatiotemporal Patterns of Extreme Precipitation Events in
Southeastern Anatolia,
SSG13(195-200).
DOI Link
1402
BibRef
Darvishi, M.,
Ahmadi, G.R.,
Application of radar polarimetry techniques for retrieval snow and rain
characteristics in remote sensing,
SMPR13(111-115).
HTML Version.
1311
BibRef
Mahrooghy, M.[Majid],
Anantharaj, V.G.[Valentine G.],
Younan, N.H.[Nicolas H.],
Aanstoos, J.V.[James V.],
Optimal wavelet features for an infrared satellite precipitation
estimate algorithm,
AIPR10(1-6).
IEEE DOI
1010
BibRef
Freitas, G.M.,
Avila, A.M.H.,
Papa, J.P.,
Falcao, A.X.,
Optimum-Path Forest-Based Rainfall Estimation,
WSSIP09(1-4).
IEEE DOI
0906
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Evaluation and Comparison of Rainfall Analysis, Rain, Precipitation Products .