Repasky, K.S.[Kevin S.],
Moen, D.[Drew],
Spuler, S.[Scott],
Nehrir, A.R.[Amin R.],
Carlsten, J.L.[John L.],
Progress towards an Autonomous Field Deployable Diode-Laser-Based
Differential Absorption Lidar (DIAL) for Profiling Water Vapor in
the Lower Troposphere,
RS(5), No. 12, 2013, pp. 6241-6259.
DOI Link
1402
BibRef
Josset, D.,
Tanelli, S.,
Hu, Y.,
Pelon, J.,
Zhai, P.,
Analysis of Water Vapor Correction for CloudSat W-Band Radar,
GeoRS(51), No. 7, 2013, pp. 3812-3825.
IEEE DOI
1307
Absorption; Laser radar; Ocean temperature
BibRef
Shi, J.C.[Jian-Cheng],
Zhao, T.J.[Tian-Jie],
Du, J.Y.[Jin-Yang],
Ji, D.B.[Da-Bin],
Xiong, C.[Chuan],
Dong, X.L.[Xiao-Long],
Liu, H.[Hao],
Wang, Z.Z.[Zhen-Zhan],
Jiang, L.M.[Ling-Mei],
Du, Y.[Yang],
Observing Earth's water cycle from space,
SPIE(Newsroom), November 7, 2014.
DOI Link
1501
A satellite system comprising active and passive microwave remote
sensors enables synchronous accurate acquisition of key elements in
the Earth's water cycle.
BibRef
Yarbrough, A.W.,
Mendenhall, M.J.,
Martin, R.K.,
Fiorino, S.T.,
Hyperspectral-Based Adaptive Matched Filter Detector Error as a
Function of Atmospheric Water Vapor Estimation,
GeoRS(52), No. 4, April 2014, pp. 2029-2039.
IEEE DOI
1403
atmospheric humidity
BibRef
Julien, Y.,
Sobrino, J.A.,
Mattar, C.,
Jimenez-Munoz, J.C.,
Near-Real-Time Estimation of Water Vapor Column From MSG-SEVIRI
Thermal Infrared Bands: Implications for Land Surface Temperature
Retrieval,
GeoRS(53), No. 8, August 2015, pp. 4231-4237.
IEEE DOI
1506
atmospheric humidity
BibRef
Châteauneuf, F.[François],
Proulx, C.[Christian],
Phong, L.N.[Linh Ngo],
Lamontagne, F.[Frédéric],
Wang, M.[Min],
Fisette, B.[Bruno],
Martin, L.[Louis],
Measuring ice clouds with an airborne far-IR radiometer,
SPIE(Newsroom), January 4, 2017
DOI Link
1703
A new aircraft-certified instrument is suitable for unattended
operation on the Polar 6 aircraft, and will ultimately be redesigned
as a future microsatellite payload.
BibRef
Du, J.Y.[Jin-Yang],
Kimball, J.S.,
Jones, L.A.,
Satellite Microwave Retrieval of Total Precipitable Water Vapor and
Surface Air Temperature Over Land From AMSR2,
GeoRS(53), No. 5, May 2015, pp. 2520-2531.
IEEE DOI
1502
atmospheric humidity
BibRef
Chang, L.[Liang],
Gao, G.P.[Guo-Ping],
Jin, S.G.[Shuang-Gen],
He, X.F.[Xiu-Feng],
Xiao, R.[Ruya],
Guo, L.X.[Li-Xin],
Calibration and Evaluation of Precipitable Water Vapor From MODIS
Infrared Observations at Night,
GeoRS(53), No. 5, May 2015, pp. 2612-2620.
IEEE DOI
1502
Global Positioning System
BibRef
Shi, J.B.[Jun-Bo],
Xu, C.Q.[Chao-Qian],
Guo, J.M.[Ji-Ming],
Gao, Y.[Yang],
Real-Time GPS Precise Point Positioning-Based Precipitable Water
Vapor Estimation for Rainfall Monitoring and Forecasting,
GeoRS(53), No. 6, June 2015, pp. 3452-3459.
IEEE DOI
1503
Global Positioning System
BibRef
Wong, M.S.[Man Sing],
Jin, X.M.[Xiao-Meng],
Liu, Z.Z.[Zhi-Zhao],
Nichol, J.E.[Janet Elizabeth],
Ye, S.R.[Shi-Rong],
Jiang, P.[Peng],
Chan, P.W.[Pak Wai],
Geostationary Satellite Observation of Precipitable Water Vapor Using
an Empirical Orthogonal Function (EOF) based Reconstruction Technique
over Eastern China,
RS(7), No. 5, 2015, pp. 5879-5900.
DOI Link
1506
BibRef
Lapini, A.,
Cuccoli, F.,
Argenti, F.,
Facheris, L.,
The Normalized Differential Spectral Sensitivity Approach Applied to
the Retrieval of Tropospheric Water Vapor Fields Using a
Constellation of Corotating LEO Satellites,
GeoRS(54), No. 1, January 2016, pp. 135-152.
IEEE DOI
1601
atmospheric humidity
BibRef
Negusini, M.,
Petkov, B.H.,
Sarti, P.,
Tomasi, C.,
Ground-Based Water Vapor Retrieval in Antarctica: An Assessment,
GeoRS(54), No. 5, May 2016, pp. 2935-2948.
IEEE DOI
1604
atmospheric humidity
BibRef
Jiang, P.[Peng],
Ye, S.R.[Shi-Rong],
Chen, D.Z.[De-Zhong],
Liu, Y.Y.[Yan-Yan],
Xia, P.F.[Peng-Fei],
Retrieving Precipitable Water Vapor Data Using GPS Zenith Delays and
Global Reanalysis Data in China,
RS(8), No. 5, 2016, pp. 389.
DOI Link
1606
BibRef
Ye, J.C.[Jong Chul],
Keckhut, P.[Philippe],
Vérčmes, H.[Hélčne],
Duflot, V.[Valentin],
Lidar measurements for water vapor vertical
profiles up to the stratosphere,
SPIE(Newsroom), June 27, 2016
DOI Link
1608
Measurements taken from a new lidar observation system could support
studies of cloud formation.
BibRef
Yuan, F.,
Lee, Y.H.,
Meng, Y.S.,
Ong, J.T.,
Water Vapor Pressure Model for Cloud Vertical Structure Detection in
Tropical Region,
GeoRS(54), No. 10, October 2016, pp. 5875-5883.
IEEE DOI
1610
atmospheric humidity
BibRef
Manandhar, S.[Shilpa],
Lee, Y.H.[Yee Hui],
Meng, Y.S.[Yu Song],
Yuan, F.,
Ong, J.T.,
GPS-Derived PWV for Rainfall Nowcasting in Tropical Region,
GeoRS(56), No. 8, August 2018, pp. 4835-4844.
IEEE DOI
1808
atmospheric humidity, atmospheric techniques,
Global Positioning System, rain, weather forecasting, nowcasting,
rainfall prediction
BibRef
Manandhar, S.[Shilpa],
Lee, Y.H.[Yee Hui],
Meng, Y.S.[Yu Song],
Ong, J.T.,
A Simplified Model for the Retrieval of Precipitable Water Vapor From
GPS Signal,
GeoRS(55), No. 11, November 2017, pp. 6245-6253.
IEEE DOI
1711
precipitable water vapor (PWV),
very-long-baseline interferometry (VLBI),
BibRef
Manandhar, S.[Shilpa],
Lee, Y.H.[Yee Hui],
Meng, Y.S.[Yu Song],
GPS-PWV Based Improved Long-Term Rainfall Prediction Algorithm for
Tropical Regions,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Yao, Y.,
Zhao, Q.,
Maximally Using GPS Observation for Water Vapor Tomography,
GeoRS(54), No. 12, December 2016, pp. 7185-7196.
IEEE DOI
1612
Global Positioning System
BibRef
Mateus, P.[Pedro],
Tomé, R.[Ricardo],
Nico, G.[Giovanni],
Catalăo, J.[Joăo],
Three-Dimensional Variational Assimilation of InSAR PWV Using the
WRFDA Model,
GeoRS(54), No. 12, December 2016, pp. 7323-7330.
IEEE DOI
1612
PWV: precipitable water vapor.
atmospheric humidity
BibRef
Dupuy, E.[Eric],
Morino, I.[Isamu],
Deutscher, N.M.[Nicholas M.],
Yoshida, Y.[Yukio],
Uchino, O.[Osamu],
Connor, B.J.[Brian J.],
de Mazičre, M.[Martine],
Griffith, D.W.T.[David W. T.],
Hase, F.[Frank],
Heikkinen, P.[Pauli],
Hillyard, P.W.[Patrick W.],
Iraci, L.T.[Laura T.],
Kawakami, S.[Shuji],
Kivi, R.[Rigel],
Matsunaga, T.[Tsuneo],
Notholt, J.[Justus],
Petri, C.[Christof],
Podolske, J.R.[James R.],
Pollard, D.F.[David F.],
Rettinger, M.[Markus],
Roehl, C.M.[Coleen M.],
Sherlock, V.[Vanessa],
Sussmann, R.[Ralf],
Toon, G.C.[Geoffrey C.],
Velazco, V.A.[Voltaire A.],
Warneke, T.[Thorsten],
Wennberg, P.O.[Paul O.],
Wunch, D.[Debra],
Yokota, T.[Tatsuya],
Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared
Spectra with Observations from the TCCON Network,
RS(8), No. 5, 2016, pp. 414.
DOI Link
1606
BibRef
And:
Erratum:
RS(8), No. 6, 2016, pp. 527.
DOI Link
1608
BibRef
And:
Correction:
RS(8), No. 12, 2016, pp. 982.
DOI Link
1612
BibRef
Ohyama, H.[Hirofumi],
Kawakami, S.[Shuji],
Shiomi, K.[Kei],
Morino, I.[Isamu],
Uchino, O.[Osamu],
Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR)
and Ground-Based FTS Measurements: Impact of the Spatial Variability
of XH2O on the Intercomparison,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Wu, W.,
Liu, X.,
Zhou, D.K.,
Larar, A.M.,
Yang, Q.,
Kizer, S.H.,
Liu, Q.,
The Application of PCRTM Physical Retrieval Methodology for IASI
Cloudy Scene Analysis,
GeoRS(55), No. 9, September 2017, pp. 5042-5056.
IEEE DOI
1709
atmospheric composition, atmospheric humidity,
atmospheric temperature, carbon monoxide,
modified Gaussian-Newton minimization technique,
radiative transfer calculation,
BibRef
Merrikhpour, M.H.,
Rahimzadegan, M.,
Improving the Algorithm of Extracting Regional Total Precipitable
Water Vapor Over Land From MODIS Images,
GeoRS(55), No. 10, October 2017, pp. 5889-5898.
IEEE DOI
1710
atmospheric humidity, atmospheric precipitation,
Infrared measurements, least-squares methods, radiosondes, satellites
BibRef
Hocke, K.[Klemens],
Navas-Guzmán, F.[Francisco],
Moreira, L.[Lorena],
Bernet, L.[Leonie],
Mätzler, C.[Christian],
Diurnal Cycle in Atmospheric Water over Switzerland,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Baghdadi, N.[Nicolas],
El Hajj, M.[Mohammad],
Zribi, M.[Mehrez],
Bousbih, S.[Safa],
Calibration of the Water Cloud Model at C-Band for Winter Crop Fields
and Grasslands,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Yang, H.[Hang],
Zhang, L.[Lifu],
Ong, C.[Cindy],
Rodger, A.[Andrew],
Liu, J.[Jia],
Sun, X.J.[Xue-Jian],
Zhang, H.M.[Hong-Ming],
Jian, X.[Xun],
Tong, Q.X.[Qing-Xi],
Improved Aerosol Optical Thickness, Columnar Water Vapor, and Surface
Reflectance Retrieval from Combined CASI and SASI Airborne
Hyperspectral Sensors,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link
1704
BibRef
Dong, Z.N.[Zhou-Nan],
Jin, S.G.[Shuang-Gen],
3-D Water Vapor Tomography in Wuhan from GPS, BDS and GLONASS
Observations,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Facheris, L.,
Cuccoli, F.,
Global ECMWF Analysis Data for Estimating the Water Vapor Content
Between Two LEO Satellites Through NDSA Measurements,
GeoRS(56), No. 3, March 2018, pp. 1546-1554.
IEEE DOI
1804
atmospheric humidity, atmospheric techniques, radiosondes,
remote sensing, troposphere,
tropospheric water vapor (WV)
BibRef
Heo, J.H.[Jun-Hyung],
Ryu, G.H.[Geun-Hyeok],
Jang, J.D.[Jae-Dong],
Optimal Interpolation of Precipitable Water Using Low Earth Orbit and
Numerical Weather Prediction Data,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
And:
Erratum:
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Wang, T.[Tongmei],
Zhang, Q.[Qiong],
Lossow, S.[Stefan],
Chafik, L.[Léon],
Risi, C.[Camille],
Murtagh, D.[Donal],
Hannachi, A.[Abdel],
Stable Water Isotopologues in the Stratosphere Retrieved from
Odin/SMR Measurements,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Nilo, S.T.[Saverio Teodosio],
Romano, F.[Filomena],
Cermak, J.[Jan],
Cimini, D.[Domenico],
Ricciardelli, E.[Elisabetta],
Cersosimo, A.[Angela],
di Paola, F.[Francesco],
Gallucci, D.[Donatello],
Gentile, S.[Sabrina],
Geraldi, E.[Edoardo],
Larosa, S.[Salvatore],
Ripepi, E.[Ermann],
Viggiano, M.[Mariassunta],
Fog Detection Based on Meteosat Second Generation-Spinning Enhanced
Visible and InfraRed Imager High Resolution Visible Channel,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Egli, S.[Sebastian],
Thies, B.[Boris],
Bendix, J.[Jörg],
A Hybrid Approach for Fog Retrieval Based on a Combination of
Satellite and Ground Truth Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Bobryshev, O.,
Buehler, S.A.,
John, V.O.,
Brath, M.,
Brogniez, H.,
Is There Really a Closure Gap Between 183.31-GHz Satellite Passive
Microwave and In Situ Radiosonde Water Vapor Measurements?,
GeoRS(56), No. 5, May 2018, pp. 2904-2910.
IEEE DOI
1805
Atmospheric measurements, Microwave FET integrated circuits,
Microwave imaging, Microwave measurement, Microwave radiometry,
remote sensing
BibRef
Zhang, F.Z.[Fang-Zhao],
Barriot, J.P.[Jean-Pierre],
Xu, G.C.[Guo-Chang],
Yeh, T.K.[Ta-Kang],
Metrology Assessment of the Accuracy of Precipitable Water Vapor
Estimates from GPS Data Acquisition in Tropical Areas: The Tahiti
Case,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Wang, Y.F.[Yu-Feng],
Tang, L.[Liu],
Gao, T.L.[Tian-Le],
Wang, Q.[Qing],
Lu, C.[Chuan],
Song, Y.H.[Yue-Hui],
Hua, D.X.[Deng-Xin],
Investigation and Analysis of All-Day Atmospheric Water Vapor Content
over Xi'an Using Raman Lidar and Sunphotometer Measurements,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Wang, Y.F.[Yu-Feng],
Tang, L.[Liu],
Zhang, J.[Jing],
Gao, T.L.[Tian-Le],
Wang, Q.[Qing],
Song, Y.H.[Yue-Hui],
Hua, D.X.[Deng-Xin],
Investigation of Precipitable Water Vapor Obtained by Raman Lidar and
Comprehensive Analyses with Meteorological Parameters in Xi'an,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
López, R.N.[Rubén Nocelo],
Santalla del Río, V.[Verónica],
High Temporal Resolution Refractivity Retrieval from Radar Phase
Measurements,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
Water vapor estimation.
BibRef
Acito, N.[Nicola],
Diani, M.[Marco],
Atmospheric Column Water Vapor Retrieval From Hyperspectral VNIR Data
Based on Low-Rank Subspace Projection,
GeoRS(56), No. 7, July 2018, pp. 3924-3940.
IEEE DOI
1807
atmospheric humidity, atmospheric techniques,
geophysical signal processing, radiative transfer,
water vapor retrieval
BibRef
Acito, N.[Nicola],
Diani, M.[Marco],
Corsini, G.[Giovanni],
Learning-Based Approach for Atmospheric Compensation of VNIR
Hyperspectral Data,
GeoRS(59), No. 5, May 2021, pp. 4218-4232.
IEEE DOI
2104
Atmospheric modeling, Hyperspectral imaging, Sensors,
Atmospheric measurements, Absorption,
machine learning
BibRef
Acito, N.[Nicola],
Diani, M.[Marco],
Procissi, G.[Gregorio],
Corsini, G.[Giovanni],
Atmospheric Compensation of PRISMA Data by Means of a Learning Based
Approach,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Trieu, T.T.N.[Tran Thi Ngoc],
Morino, I.[Isamu],
Ohyama, H.[Hirofumi],
Uchino, O.[Osamu],
Sussmann, R.[Ralf],
Warneke, T.[Thorsten],
Petri, C.[Christof],
Kivi, R.[Rigel],
Hase, F.[Frank],
Pollard, D.F.[David F.],
Deutscher, N.M.[Nicholas M.],
Velazco, V.A.[Voltaire A.],
Iraci, L.T.[Laura T.],
Podolske, J.R.[James R.],
Dubey, M.K.[Manvendra K.],
Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON
data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Acito, N.,
Diani, M.,
Corsini, G.,
Coupled Subspace-Based Atmospheric Compensation of LWIR Hyperspectral
Data,
GeoRS(57), No. 8, August 2019, pp. 5224-5238.
IEEE DOI
1908
atmospheric radiation, atmospheric techniques, infrared imaging,
coupled subspace-based atmospheric compensation,
hyperspectral thermal images
BibRef
Acito, N.,
Diani, M.,
Corsini, G.,
CWV-Net: A Deep Neural Network for Atmospheric Column Water Vapor
Retrieval From Hyperspectral VNIR Data,
GeoRS(58), No. 11, November 2020, pp. 8163-8175.
IEEE DOI
2011
Atmospheric modeling, Hyperspectral imaging, Absorption,
Atmospheric measurements, Estimation,
water vapor retrieval
BibRef
Iturbide-Sanchez, F.,
da Silva, S.R.S.,
Liu, Q.,
Pryor, K.L.,
Pettey, M.E.,
Nalli, N.R.,
Toward the Operational Weather Forecasting Application of Atmospheric
Stability Products Derived From NUCAPS CrIS/ATMS Soundings,
GeoRS(56), No. 8, August 2018, pp. 4522-4545.
IEEE DOI
1808
atmospheric precipitation, atmospheric techniques, convection,
radiosondes, remote sensing, thunderstorms, weather forecasting,
weather forecasting
BibRef
Boukabara, S.,
Garrett, K.,
Tropospheric Moisture Sounding Using Microwave Imaging Channels:
Application to GCOM-W1/AMSR2,
GeoRS(56), No. 9, September 2018, pp. 5537-5549.
IEEE DOI
1809
Microwave imaging, Moisture, Microwave radiometry,
Ocean temperature, Absorption, Microwave theory and techniques,
total precipitable water (TPW)
BibRef
Du, J.Y.[Jin-Yang],
Kimball, J.S.[John S.],
Reichle, R.H.[Rolf H.],
Jones, L.A.[Lucas A.],
Watts, J.D.[Jennifer D.],
Kim, Y.[Youngwook],
Global Satellite Retrievals of the Near-Surface Atmospheric Vapor
Pressure Deficit from AMSR-E and AMSR2,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Zhao, Q.Z.[Qing-Zhi],
Yao, Y.B.[Yi-Bin],
Yao, W.Q.[Wan-Qiang],
Troposphere Water Vapour Tomography: A Horizontal Parameterised
Approach,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
di Paola, F.[Francesco],
Ricciardelli, E.[Elisabetta],
Cimini, D.[Domenico],
Cersosimo, A.[Angela],
di Paola, A.[Arianna],
Gallucci, D.[Donatello],
Gentile, S.[Sabrina],
Geraldi, E.[Edoardo],
Larosa, S.[Salvatore],
Nilo, S.T.[Saverio T.],
Ripepi, E.[Ermann],
Romano, F.[Filomena],
Sanň, P.[Paolo],
Viggiano, M.[Mariassunta],
MiRTaW: An Algorithm for Atmospheric Temperature and Water Vapor
Profile Estimation from ATMS Measurements Using a Random Forests
Technique,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Emmanuel, M.,
Sunilkumar, S.V.,
Muhsin, M.,
Suneel Kumar, B.,
Nagendra, N.,
Satheesh Chandran, P.R.,
Ramkumar, G.,
Rajeev, K.,
Intercomparison of Cryogenic Frost-Point Hygrometer Observations With
Radiosonde, SAPHIR, MLS, and Reanalysis Datasets Over Indian
Peninsula,
GeoRS(56), No. 11, November 2018, pp. 6290-6295.
IEEE DOI
1811
Terrestrial atmosphere, Humidity, Humidity measurement,
Measurement uncertainty, Cryogenics, Uncertainty,
water vapor
BibRef
Muńoz-Porcar, C.,
Comerón, A.,
Sicard, M.,
Barragan, R.,
Garcia-Vizcaino, D.,
Rodríguez-Gómez, A.,
Rocadenbosch, F.,
Granados-Muńoz, M.J.,
Calibration of Raman Lidar Water Vapor Mixing Ratio Measurements
Using Zenithal Measurements of Diffuse Sunlight and a Radiative
Transfer Model,
GeoRS(56), No. 12, December 2018, pp. 7405-7414.
IEEE DOI
1812
Laser radar, Calibration, Nitrogen, Atmospheric measurements,
Instruments, Atmospheric modeling, Interference, Calibration, lidar,
water vapor
BibRef
Sokol, Z.[Zbynek],
Minárová, J.[Jana],
Novák, P.[Petr],
Classification of Hydrometeors Using Measurements of the Ka-Band
Cloud Radar Installed at the Milešovka Mountain (Central Europe),
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Wang, Y.[Yi],
Hioki, S.[Souichiro],
Yang, P.[Ping],
King, M.D.[Michael D.],
di Girolamo, L.[Larry],
Fu, D.W.[Dong-Wei],
Baum, B.A.[Bryan A.],
Inference of an Optimal Ice Particle Model through Latitudinal
Analysis of MISR and MODIS Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
Ice cloud properties.
BibRef
Yang, J.X.,
Yang, H.,
Radiometry Calibration With High-Resolution Profiles of GPM:
Application to ATMS 183-GHz Water Vapor Channels and Comparison
Against Reanalysis Profiles,
GeoRS(57), No. 2, February 2019, pp. 829-838.
IEEE DOI
1901
Atmospheric modeling, Microwave radiometry, Calibration,
Data models, Atmospheric measurements, Meteorology,
radiative transfer model (RTM)
BibRef
Frantz, D.[David],
Stellmes, M.[Marion],
Hostert, P.[Patrick],
A Global MODIS Water Vapor Database for the Operational Atmospheric
Correction of Historic and Recent Landsat Imagery,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Schröder, M.[Marc],
Lockhoff, M.[Maarit],
Shi, L.[Lei],
August, T.[Thomas],
Bennartz, R.[Ralf],
Brogniez, H.[Helene],
Calbet, X.[Xavier],
Fell, F.[Frank],
Forsythe, J.[John],
Gambacorta, A.[Antonia],
Ho, S.P.[Shu-Peng],
Kursinski, E.R.[E. Robert],
Reale, A.[Anthony],
Trent, T.[Tim],
Yang, Q.[Qiong],
The GEWEX Water Vapor Assessment: Overview and Introduction to
Results and Recommendations,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Kulla, B.S.[Birte Solveig],
Ritter, C.[Christoph],
Water Vapor Calibration: Using a Raman Lidar and Radiosoundings to
Obtain Highly Resolved Water Vapor Profiles,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Tapiador, F.J.,
Moreno, R.,
Haddad, Z.S.,
Estimates of the Precipitation Top Heights in Convective Systems
Using Microwave Radiances,
GeoRS(57), No. 6, June 2019, pp. 3166-3178.
IEEE DOI
1906
Radiometers, Temperature measurement, Spaceborne radar,
Radar measurements, Brightness, Satellite broadcasting,
orbital radiometers
BibRef
Letu, H.,
Nagao, T.M.,
Nakajima, T.Y.,
Riedi, J.,
Ishimoto, H.,
Baran, A.J.,
Shang, H.,
Sekiguchi, M.,
Kikuchi, M.,
Ice Cloud Properties From Himawari-8/AHI Next-Generation
Geostationary Satellite: Capability of the AHI to Monitor the DC
Cloud Generation Process,
GeoRS(57), No. 6, June 2019, pp. 3229-3239.
IEEE DOI
1906
Ice, Clouds, Cloud computing, Atmospheric modeling,
Integrated optics, Optical imaging, Optical scattering, DC cloud,
retrieval algorithm
BibRef
Lu, N.[Ning],
Biases and Abrupt Shifts of Monthly Precipitable Water from Terra
MODIS,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Obregón, M.Á.[María Ángeles],
Rodrigues, G.[Gonçalo],
Costa, M.J.[Maria Joao],
Potes, M.[Miguel],
Silva, A.M.[Ana Maria],
Validation of ESA Sentinel-2 L2A Aerosol Optical Thickness and
Columnar Water Vapour during 2017-2018,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
di Natale, G.,
del Bianco, S.,
Cortesi, U.,
Gai, M.,
Macelloni, G.,
Montomoli, F.,
Rovai, L.,
Melani, S.,
Ortolani, A.,
Antonini, A.,
Cuccoli, F.,
Facheris, L.,
Toccafondi, A.,
Implementation and Validation of a Retrieval Algorithm for Profiling
of Water Vapor From Differential Attenuation Measurements at
Microwaves,
GeoRS(57), No. 8, August 2019, pp. 5939-5948.
IEEE DOI
1908
atmospheric humidity, atmospheric movements,
atmospheric techniques, weather forecasting, validation,
water vapor (WV)
BibRef
Lee, Y.[Yeonjin],
Han, D.[Daehyeon],
Ahn, M.H.[Myoung-Hwan],
Im, J.[Jungho],
Lee, S.J.[Su Jeong],
Retrieval of Total Precipitable Water from Himawari-8 AHI Data: A
Comparison of Random Forest, Extreme Gradient Boosting, and Deep
Neural Network,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Tabata, T.[Tasuku],
John, V.O.[Viju O.],
Roebeling, R.A.[Rob A.],
Hewison, T.[Tim],
Schulz, J.[Jörg],
Recalibration of over 35 Years of Infrared and Water Vapor Channel
Radiances of the JMA Geostationary Satellites,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
And:
Correction:
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Fionda, E.[Ermanno],
Cadeddu, M.[Maria],
Mattioli, V.[Vinia],
Pacione, R.[Rosa],
Intercomparison of Integrated Water Vapor Measurements at High
Latitudes from Co-Located and Near-Located Instruments,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link
1909
BibRef
He, J.,
Liu, Z.,
Comparison of Satellite-Derived Precipitable Water Vapor Through
Near-Infrared Remote Sensing Channels,
GeoRS(57), No. 12, December 2019, pp. 10252-10262.
IEEE DOI
1912
Global Positioning System, Satellites, MODIS, Remote sensing,
Sensors, Spatial resolution, Cloud computing,
remote sensing
BibRef
Zhao, Q.Z.[Qing-Zhi],
Ma, X.W.[Xiong-Wei],
Yao, W.Q.[Wan-Qiang],
Yao, Y.[Yibin],
A New Typhoon-Monitoring Method Using Precipitation Water Vapor,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Mateus, P.,
Catalăo, J.,
Nico, G.,
Benevides, P.,
Mapping Precipitable Water Vapor Time Series From Sentinel-1
Interferometric SAR,
GeoRS(58), No. 2, February 2020, pp. 1373-1379.
IEEE DOI
2001
Synthetic aperture radar, Global navigation satellite system,
Atmospheric modeling, Meteorology, Spatial resolution, Delays,
time series
BibRef
Cancelada, M.[Maite],
Salio, P.[Paola],
Vila, D.[Daniel],
Nesbitt, S.W.[Stephen W.],
Vidal, L.[Luciano],
Backward Adaptive Brightness Temperature Threshold Technique (BAB3T):
A Methodology to Determine Extreme Convective Initiation Regions
Using Satellite Infrared Imagery,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Zhou, J.[Jun],
Yang, H.[Hu],
Comparison of the Remapping Algorithms for the Advanced Technology
Microwave Sounder (ATMS),
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Henken, C.C.[Cintia Carbajal],
Dirks, L.[Lisa],
Steinke, S.[Sandra],
Diedrich, H.[Hannes],
August, T.[Thomas],
Crewell, S.[Susanne],
Assessment of Sampling Effects on Various Satellite-Derived
Integrated Water Vapor Datasets Using GPS Measurements in Germany as
Reference,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Vaquero-Martínez, J.[Javier],
Antón, M.[Manuel],
Sanchez-Lorenzo, A.[Arturo],
Cachorro, V.E.[Victoria E.],
Evaluation of Water Vapor Radiative Effects Using GPS Data Series
over Southwestern Europe,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Pagano, T.S.[Thomas S.],
Aumann, H.H.[Hartmut H.],
Broberg, S.E.[Steven E.],
Cańas, C.[Chase],
Manning, E.M.[Evan M.],
Overoye, K.O.[Kenneth O.],
Wilson, R.C.[Robert C.],
SI-Traceability and Measurement Uncertainty of the Atmospheric
Infrared Sounder Version 5 Level 1B Radiances,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
He, J.[Jia],
Liu, Z.Z.[Zhi-Zhao],
Water Vapor Retrieval From MODIS NIR Channels Using Ground-Based GPS
Data,
GeoRS(58), No. 5, May 2020, pp. 3726-3737.
IEEE DOI
2005
GPS, Moderate Resolution Imaging Spectroradiometer (MODIS),
precipitable water vapor (PWV), retrieval
BibRef
He, J.[Jia],
Liu, Z.Z.[Zhi-Zhao],
Refining MODIS NIR Atmospheric Water Vapor Retrieval Algorithm Using
GPS-Derived Water Vapor Data,
GeoRS(59), No. 5, May 2021, pp. 3682-3694.
IEEE DOI
2104
Global Positioning System, MODIS, Land surface, Meteorology, Water,
Satellite broadcasting, Absorption, land cover
BibRef
Zabolotskikh, E.V.,
Khvorostovsky, K.S.,
Chapron, B.,
An Advanced Algorithm to Retrieve Total Atmospheric Water Vapor
Content From the Advanced Microwave Scanning Radiometer Data Over Sea
Ice and Sea Water Surfaces in the Arctic,
GeoRS(58), No. 5, May 2020, pp. 3123-3135.
IEEE DOI
2005
Advanced Microwave Scanning Radiometer (AMSR), Arctic,
atmospheric water vapor column (WVC),
sea ice (SI)
BibRef
Almansa, A.F.[Antonio Fernando],
Cuevas, E.[Emilio],
Barreto, Á.[África],
Torres, B.[Benjamín],
García, O.E.[Omaira Elena],
García, R.D.[Rosa Delia],
Velasco-Merino, C.[Cristian],
Cachorro, V.E.[Victoria Eugenia],
Berjón, A.[Alberto],
Mallorquín, M.[Manuel],
López, C.[César],
Ramos, R.[Ramón],
Guirado-Fuentes, C.[Carmen],
Negrillo, R.[Ramón],
de Frutos, Á.M.[Ángel Máximo],
Column Integrated Water Vapor and Aerosol Load Characterization with
the New ZEN-R52 Radiometer,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Kim, B.Y.[Bu-Yo],
Cha, J.W.[Joo Wan],
Ko, A.R.[A-Reum],
Jung, W.[Woonseon],
Ha, J.C.[Jong-Chul],
Analysis of the Occurrence Frequency of Seedable Clouds on the Korean
Peninsula for Precipitation Enhancement Experiments,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Du, B.L.[Bao-Long],
Ji, D.[Dabin],
Shi, J.C.[Jian-Cheng],
Wang, Y.Q.[Yong-Qian],
Lei, T.J.[Tian-Jie],
Zhang, P.[Peng],
Letu, H.[Husi],
The Retrieval of Total Precipitable Water over Global Land Based on
FY-3D/MWRI Data,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Kumar, A.H.,
Sunilkumar, S.V.,
Assessment of INSAT-3D Retrieved Temperature and Water Vapour With
Collocated Radiosonde Measurements Over Indian Region,
GeoRS(58), No. 6, June 2020, pp. 4000-4005.
IEEE DOI
2005
Indian National Satellite System (INSAT)-3D sounder,
radiosonde, temperature, water vapour (WV)
BibRef
Georgoulias, A.K.[Aristeidis K.],
Marinou, E.[Eleni],
Tsekeri, A.[Alexandra],
Proestakis, E.[Emmanouil],
Akritidis, D.[Dimitris],
Alexandri, G.[Georgia],
Zanis, P.[Prodromos],
Balis, D.[Dimitris],
Marenco, F.[Franco],
Tesche, M.[Matthias],
Amiridis, V.[Vassilis],
A First Case Study of CCN Concentrations from Spaceborne Lidar
Observations,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
CCN: Cloud Condensation Nuclei.
BibRef
Li, J.Y.[Jun-Yu],
Zhang, B.[Bao],
Yao, Y.[Yibin],
Liu, L.L.[Li-Long],
Sun, Z.Y.[Zhang-Yu],
Yan, X.[Xiao],
A Refined Regional Model for Estimating Pressure, Temperature, and
Water Vapor Pressure for Geodetic Applications in China,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Lu, C.,
Feng, G.,
Zheng, Y.,
Zhang, K.,
Tan, H.,
Dick, G.,
Wickert, J.,
Real-Time Retrieval of Precipitable Water Vapor From Galileo
Observations by Using the MGEX Network,
GeoRS(58), No. 7, July 2020, pp. 4743-4753.
IEEE DOI
2006
Real-time systems, Satellites, Global Positioning System, Delays,
Estimation, Atmospheric modeling, Receivers,
zenith tropospheric delay (ZTD)
BibRef
Alshawaf, F.,
A New Method for Reconstructing Absolute Water Vapor Maps From
Persistent Scatterer InSAR,
GeoRS(58), No. 7, July 2020, pp. 4951-4957.
IEEE DOI
2006
Delays, Atmospheric modeling, Global Positioning System,
Data models, Spatial resolution, Data mining, Predictive models,
reconstructing absolute values
BibRef
Zhang, G.[Guang],
Ma, Y.Y.[Ying-Ying],
Clear-Sky Surface Solar Radiation and the Radiative Effect of Aerosol
and Water Vapor Based on Simulations and Satellite Observations over
Northern China,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Lin, L.[Lin],
Zou, X.L.[Xiao-Lei],
Diurnal Variation in Cloud Liquid Water Path Derived from Five
Cross-Track Microwave Radiometers Onboard Polar-Orbiting Satellites,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Yang, J.[Jie],
Li, S.W.[Si-Wei],
Mao, F.Y.[Fei-Yue],
Min, Q.L.[Qi-Long],
Gong, W.[Wei],
Zhang, L.[Lei],
Liu, S.[Sheng],
Physical Parameterization of Hyperspectral Reflectance in the Oxygen
A-Band for Single-Layer Water Clouds,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Ye, B.Y.[Bo-Young],
Jung, E.[Eunsil],
Shin, S.[Seungsook],
Lee, G.[Gyu_Won],
Statistical Characteristics of Cloud Occurrence and Vertical
Structure Observed by a Ground-Based Ka-Band Cloud Radar in South
Korea,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Mariani, Z.[Zen],
Stanton, N.[Noah],
Whiteway, J.[James],
Lehtinen, R.[Raisa],
Toronto Water Vapor Lidar Inter-Comparison Campaign,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Lin, H.[Hua],
Liu, C.[Cheng],
Xing, C.Z.[Cheng-Zhi],
Hu, Q.H.[Qi-Hou],
Hong, Q.Q.[Qian-Qian],
Liu, H.R.[Hao-Ran],
Li, Q.H.[Qi-Hua],
Tan, W.[Wei],
Ji, X.G.[Xiang-Guang],
Wang, Z.[Zhuang],
Liu, J.G.[Jian-Guo],
Validation of Water Vapor Vertical Distributions Retrieved from
MAX-DOAS over Beijing, China,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Abbasi, B.[Bilawal],
Qin, Z.H.[Zhi-Hao],
Du, W.H.[Wen-Hui],
Fan, J.L.[Jin-Long],
Zhao, C.L.[Chun-Liang],
Hang, Q.Y.[Qiu-Yan],
Zhao, S.[Shuhe],
Li, S.F.[Shi-Feng],
An Algorithm to Retrieve Total Precipitable Water Vapor in the
Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D
MERSI-2) Data,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Kim, M.[Miae],
Cermak, J.[Jan],
Andersen, H.[Hendrik],
Fuchs, J.[Julia],
Stirnberg, R.[Roland],
A New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using
Machine Learning and Meteosat SEVIRI Data,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Platnick, S.[Steven],
Meyer, K.[Kerry],
Amarasinghe, N.[Nandana],
Wind, G.[Galina],
Hubanks, P.A.[Paul A.],
Holz, R.E.[Robert E.],
Sensitivity of Multispectral Imager Liquid Water Cloud Microphysical
Retrievals to the Index of Refraction,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Leontiev, A.[Anton],
Rostkier-Edelstein, D.[Dorita],
Reuveni, Y.[Yuval],
On the Potential of Improving WRF Model Forecasts by Assimilation of
High-Resolution GPS-Derived Water-Vapor Maps Augmented with
METEOSAT-11 Data,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Seto, R.,
Aida, K.,
Koike, T.,
Kanae, S.,
Radiative Characteristics at 89 and 36 GHz for Satellite-Based Cloud
Water Estimation Over Land,
GeoRS(59), No. 2, February 2021, pp. 1355-1368.
IEEE DOI
2101
Estimation, Clouds, Atmosphere, Land surface, Soil,
Brightness temperature, Atmospheric measurements,
representation of land emissivity
BibRef
Liu, Q.H.M.[Quan-Hua Mark],
Cao, C.Y.[Chang-Yong],
Grassotti, C.[Christopher],
Lee, Y.K.[Yong-Keun],
How Can Microwave Observations at 23.8 GHz Help in Acquiring Water
Vapor in the Atmosphere over Land?,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
García, R.D.[Rosa Delia],
Cuevas, E.[Emilio],
Cachorro, V.E.[Victoria Eugenia],
García, O.E.[Omaira E.],
Barreto, Á.[África],
Almansa, A.F.[A. Fernando],
Romero-Campos, P.M.[Pedro M.],
Ramos, R.[Ramón],
Pó, M.[Mário],
Hoogendijk, K.[Kees],
Gross, J.[Jochen],
Water Vapor Retrievals from Spectral Direct Irradiance Measured with
an EKO MS-711 Spectroradiometer: Intercomparison with Other
Techniques,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Obregón, M.Á.[María Ángeles],
Serrano, A.[Antonio],
Costa, M.J.[Maria Joăo],
Silva, A.M.[Ana Maria],
Global Spatial and Temporal Variation of the Combined Effect of
Aerosol and Water Vapour on Solar Radiation,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Mariani, Z.[Zen],
Hicks-Jalali, S.[Shannon],
Strawbridge, K.[Kevin],
Gwozdecky, J.[Jack],
Crawford, R.W.[Robert W.],
Casati, B.[Barbara],
Lemay, F.[François],
Lehtinen, R.[Raisa],
Tuominen, P.[Pekko],
Evaluation of Arctic Water Vapor Profile Observations from a
Differential Absorption Lidar,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Johnston, B.R.[Benjamin R.],
Randel, W.J.[William J.],
Sjoberg, J.P.[Jeremiah P.],
Evaluation of Tropospheric Moisture Characteristics Among COSMIC-2,
ERA5 and MERRA-2 in the Tropics and Subtropics,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Preusker, R.[René],
Henken, C.C.[Cintia Carbajal],
Fischer, J.[Jürgen],
Retrieval of Daytime Total Column Water Vapour from OLCI Measurements
over Land Surfaces,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Tian, M.,
Chen, H.,
Liu, G.,
Cloud Detection From Paired CrIS Water Vapor and CO2 Channels Using
Machine Learning Techniques,
GeoRS(59), No. 4, April 2021, pp. 2781-2793.
IEEE DOI
2104
Clouds, Ocean temperature, Image resolution, Instruments,
Satellite broadcasting, Data models, Atmospheric modeling,
support vector machine (SVM)
BibRef
Song, K.[Kun],
Liu, X.C.[Xi-Chuan],
Gao, T.C.[Tai-Chang],
Zhang, P.[Peng],
Estimating Water Vapor Using Signals from Microwave Links below 25
GHz,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Lee, E.[Eunjeong],
Kim, J.H.[Jung-Hoon],
Heo, K.Y.[Ki-Young],
Cho, Y.K.[Yang-Ki],
Advection Fog over the Eastern Yellow Sea: WRF Simulation and Its
Verification by Satellite and In Situ Observations,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Ermakov, D.[Dmitry],
Kuzmin, A.[Alexey],
Pashinov, E.[Evgeny],
Sterlyadkin, V.[Victor],
Chernushich, A.[Andrey],
Sharkov, E.[Eugene],
Comparison of Vertically Integrated Fluxes of Atmospheric Water Vapor
According to Satellite Radiothermovision, Radiosondes, and Reanalysis,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Ren, H.M.[Hong-Mei],
Li, A.[Ang],
Xie, P.H.[Pin-Hua],
Hu, Z.K.[Zhao-Kun],
Xu, J.[Jin],
Huang, Y.Y.[Ye-Yuan],
Li, X.M.[Xiao-Mei],
Zhong, H.Y.[Hong-Yan],
Tian, X.[Xin],
Ren, B.[Bo],
Zhang, H.R.[Hai-Rong],
Estimation of the Precipitable Water and Water Vapor Fluxes in the
Coastal and Inland Cities of China Using MAX-DOAS,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Xiong, Z.H.[Zhao-Hui],
Zhang, B.[Bao],
Sang, J.Z.[Ji-Zhang],
Sun, X.G.[Xiao-Gong],
Wei, X.M.[Xiao-Ming],
Fusing Precipitable Water Vapor Data in CHINA at Different Timescales
Using an Artificial Neural Network,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Xiong, Z.H.[Zhao-Hui],
Sun, X.G.[Xiao-Gong],
Sang, J.Z.[Ji-Zhang],
Wei, X.M.[Xiao-Min],
Modify the Accuracy of MODIS PWV in China: A Performance Comparison
Using Random Forest, Generalized Regression Neural Network and
Back-Propagation Neural Network,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Hu, H.[Heng],
Liu, M.[Min],
Zhong, J.Q.[Ji-Qin],
Deng, X.[Xin],
Cao, Y.C.[Yun-Chang],
Fang, P.[Peng],
A Case Study of the 3D Water Vapor Tomography Model Based on a Fast
Voxel Traversal Algorithm for Ray Tracing,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Sun, W.F.[Wei-Fu],
Wang, J.[Jin],
Li, Y.H.[Yu-Heng],
Meng, J.M.[Jun-Min],
Zhao, Y.J.[Yu-Jia],
Wu, P.Q.[Pei-Qiang],
New Gridded Product for the Total Columnar Atmospheric Water Vapor
over Ocean Surface Constructed from Microwave Radiometer Satellite
Data,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Luo, Q.[Qing],
Yi, B.Q.[Bing-Qi],
Bi, L.[Lei],
Sensitivity of Mixed-Phase Cloud Optical Properties to Cloud Particle
Model and Microphysical Factors at Wavelengths from 0.2 to 100 µm,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Nina, A.[Aleksandra],
Radovic, J.[Jelena],
Nico, G.[Giovanni],
Popovic, L.C.[Luka C.],
Radovanovic, M.[Milan],
Biagi, P.F.[Pier Francesco],
Vinkovic, D.[Dejan],
The Influence of Solar X-ray Flares on SAR Meteorology: The
Determination of the Wet Component of the Tropospheric Phase Delay
and Precipitable Water Vapor,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Zhu, D.[Dantong],
Zhang, K.[Kefei],
Yang, L.[Liu],
Wu, S.[Suqin],
Li, L.[Longjiang],
Evaluation and Calibration of MODIS Near-Infrared Precipitable Water
Vapor over China Using GNSS Observations and ERA-5 Reanalysis Dataset,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Chen, Y.C.[Yu-Chun],
Tsai, C.C.[Chih-Chien],
Wu, Y.C.[Yi-Chao],
Wang, A.H.[An-Hsiang],
Wang, C.J.[Chieh-Ju],
Lin, H.H.[Hsin-Hung],
Chen, D.R.[Dan-Rong],
Yu, Y.C.A.[Yi-Chi-Ang],
Evaluation of Operational Monsoon Moisture Surveillance and Severe
Weather Prediction Utilizing COSMIC-2/FORMOSAT-7 Radio Occultation
Observations,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Araszkiewicz, A.[Andrzej],
Kiliszek, D.[Damian],
Mierzwiak, M.[Michal],
Nowak da Costa, J.[Joanna],
Szolucha, M.[Marcin],
GPS-Based Multi-Temporal Variation in Precipitable Water over the
Territory of Poland,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Xie, Y.Q.[Yan-Qing],
Li, Z.Q.[Zheng-Qiang],
Hou, W.Z.[Wei-Zhen],
Guang, J.[Jie],
Ma, Y.[Yan],
Wang, Y.Y.[Yu-Yang],
Wang, S.H.[Si-Heng],
Yang, D.[Dong],
Validation of FY-3D MERSI-2 Precipitable Water Vapor (PWV) Datasets
Using Ground-Based PWV Data from AERONET,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Sun, P.[Peng],
Zhang, K.[Kefei],
Wu, S.[Suqin],
Wan, M.[Moufeng],
Lin, Y.[Yun],
Retrieving Precipitable Water Vapor from Real-Time Precise Point
Positioning Using VMF1/VMF3 Forecasting Products,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Xiong, S.[Si],
Guo, F.[Fei],
Zhao, Q.Z.[Qing-Zhi],
Huang, L.K.[Liang-Ke],
He, L.[Lin],
Zhang, T.X.[Teng-Xu],
An Investigation of Extreme Weather Impact on Precipitable Water
Vapor and Vegetation Growth: A Case Study in Zhejiang China,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Kayumba, P.M.[Patient Mindje],
Fang, G.H.[Gong-Huan],
Chen, Y.N.[Ya-Ning],
Mindje, R.[Richard],
Hu, Y.[Yanan],
Ali, S.[Sikandar],
Mindje, M.[Mapendo],
Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in
Response to Summer Canopy Density across Yanqi Endorheic Basin,
Northwestern China,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
König, N.[Nils],
Wetzel, G.[Gerald],
Höpfner, M.[Michael],
Friedl-Vallon, F.[Felix],
Johansson, S.[Sören],
Kleinert, A.[Anne],
Schneider, M.[Matthias],
Ertl, B.[Benjamin],
Ungermann, J.[Jörn],
Retrieval of Water Vapour Profiles from GLORIA Nadir Observations,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Wang, H.[Hao],
Ding, N.[Nan],
Zhang, W.Y.[Wen-Yuan],
An Adaptive Non-Uniform Vertical Stratification Method for
Troposphere Water Vapor Tomography,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Meng, D.L.[De-Li],
Song, W.[Wanjiao],
Dong, Q.[Qing],
Yin, Z.[Zi],
Zhao, W.B.[Wen-Bo],
The Variability of Summer Atmospheric Water Cycle over the Tibetan
Plateau and Its Response to the Indo-Pacific Warm Pool,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Matsuzawa, K.[Keita],
Kinoshita, Y.[Yohei],
Error Evaluation of L-Band InSAR Precipitable Water Vapor
Measurements by Comparison with GNSS Observations in Japan,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
He, J.[Jia],
Liu, Z.[Zhizhao],
Applying the New MODIS-Based Precipitable Water Vapor Retrieval
Algorithm Developed in the North Hemisphere to the South Hemisphere,
GeoRS(60), 2022, pp. 1-12.
IEEE DOI
2112
MODIS, Global Positioning System, Meteorology, Australia,
Global navigation satellite system, Data models, Uncertainty,
water vapor
BibRef
Mazzinghi, A.[Agnese],
Cuccoli, F.[Fabrizio],
Argenti, F.[Fabrizio],
Feta, A.[Arjan],
Facheris, L.[Luca],
Tomographic Inversion Methods for Retrieving the Tropospheric Water
Vapor Content Based on the NDSA Measurement Approach,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Koji, A.K.[Abdisa Kawo],
van Malderen, R.[Roeland],
Pottiaux, E.[Eric],
van Schaeybroeck, B.[Bert],
Understanding the Present-Day Spatiotemporal Variability of
Precipitable Water Vapor over Ethiopia: A Comparative Study between
ERA5 and GPS,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Han, C.Z.[Cong-Zheng],
Su, G.Y.[Gui-Yang],
Bao, L.[Lei],
Messer, H.[Hagit],
Water Vapor Density Retrieval Studies Using Commercial
Millimeter-Wave Links at 38 GHz and E-Band,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Zhao, Q.Z.[Qing-Zhi],
Liu, K.[Kang],
Zhang, T.X.[Teng-Xu],
He, L.[Lin],
Shen, Z.Y.[Zi-Yu],
Xiong, S.[Si],
Shi, Y.[Yun],
Chen, L.[Lichuan],
Liao, W.M.[Wei-Ming],
A Global Conversion Factor Model for Mapping Zenith Total Delay onto
Precipitable Water,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Xie, Y.Q.[Yan-Qing],
Hou, W.Z.[Wei-Zhen],
Li, Z.Q.[Zheng-Qiang],
Zhu, S.[Sifeng],
Liu, Z.H.[Zhen-Hai],
Hong, J.[Jin],
Ma, Y.[Yan],
Fan, C.[Cheng],
Guang, J.[Jie],
Yang, B.Y.[Ben-Yong],
Lei, X.F.[Xue-Feng],
Huang, H.L.[Hong-Lian],
Sun, X.B.[Xia-Bing],
Liu, X.[Xiao],
Zhang, Y.[Ying],
Song, M.X.[Mao-Xin],
Zou, P.[Peng],
Qiao, Y.L.[Yan-Li],
Columnar Water Vapor Retrieval by Using Data from the Polarized
Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
Dong, C.J.[Chang-Jiao],
Weng, F.Z.[Fu-Zhong],
Yang, J.[Jun],
Assessments of Cloud Liquid Water and Total Precipitable Water
Derived from FY-3E MWTS-III and NOAA-20 ATMS,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Li, J.F.[Ji-Feng],
Lin, G.Y.[Guan-Yu],
Wu, H.[Heng],
Duan, M.Z.[Min-Zheng],
Cao, D.S.[Dian-Sheng],
Wang, L.Q.[Long-Qi],
Design and Verification of a Double-Grating Spectrometer System
(DGSS) for Simultaneous Observation of Aerosols, Water Vapor and
Clouds,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Zhao, Q.Z.[Qing-Zhi],
Zhang, X.Y.[Xiao-Ya],
Wu, K.[Kan],
Liu, Y.[Yang],
Li, Z.F.[Zu-Feng],
Shi, Y.[Yun],
Comprehensive Precipitable Water Vapor Retrieval and Application
Platform Based on Various Water Vapor Detection Techniques,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Chen, Y.[Yong],
Cao, C.Y.[Chang-Yong],
Shao, X.[Xi],
Ho, S.P.[Shu-Peng],
Assessment of the Consistency and Stability of CrIS Infrared
Observations Using COSMIC-2 Radio Occultation Data over Ocean,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Xie, Y.C.[Yu-Chen],
Weng, F.Z.[Fu-Zhong],
Intercomparison of Resampling Algorithms for Advanced Technology
Microwave Sounder (ATMS),
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Li, R.[Ran],
Wang, G.[Gaili],
Zhou, R.[Renran],
Zhang, J.Y.[Jing-Yi],
Liu, L.P.[Li-Ping],
Seasonal Variation in Microphysical Characteristics of Precipitation
at the Entrance of Water Vapor Channel in Yarlung Zangbo Grand Canyon,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Niu, Z.Y.[Ze-Yi],
Zhang, L.[Lei],
Dong, P.[Peiming],
Weng, F.Z.[Fu-Zhong],
Huang, W.[Wei],
Zhu, J.[Jia],
Effects of Direct Assimilation of FY-4A AGRI Water Vapor Channels on
the Meiyu Heavy-Rainfall Quantitative Precipitation Forecasts,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Ren, D.[Dong],
Wang, Y.[Yong],
Wang, G.C.[Guo-Cheng],
Liu, L.T.[Lin-Tao],
Fusion of CMONOC and ERA5 PWV Products Based on Backpropagation
Neural Network,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Vermunt, P.C.[Paul C.],
Steele-Dunne, S.C.[Susan C.],
Khabbazan, S.[Saeed],
Kumar, V.[Vineet],
Judge, J.[Jasmeet],
Towards Understanding the Influence of Vertical Water Distribution on
Radar Backscatter from Vegetation Using a Multi-Layer Water Cloud
Model,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhao, K.L.[Kai-Liang],
Zhu, G.F.[Guo-Feng],
Tong, H.L.[Hua-Li],
Sang, L.Y.[Li-Yuan],
Wang, L.[Lei],
Liu, Y.W.[Yu-Wei],
Xu, Y.X.[Yuan-Xiao],
Liu, J.W.[Jia-Wei],
Lin, X.R.[Xin-Rui],
Zhang, W.H.[Wen-Hao],
Ye, L.L.[Lin-Lin],
Spatial and Temporal Distribution of Cloud Water in the Yellow River
Basin, China,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Heh, D.Y.[Ding Yu],
Lee, Y.H.[Yee Hui],
Biswas, A.N.[Anik Naha],
Koh, L.M.[Liang Mong],
GPS-Derived Slant Water Vapor for Cloud Monitoring in Singapore,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Ho, S.P.[Shu-Peng],
Kireev, S.[Stanislav],
Shao, X.[Xi],
Zhou, X.J.[Xin-Jia],
Jing, X.[Xin],
Processing and Validation of the STAR COSMIC-2 Temperature and Water
Vapor Profiles in the Neutral Atmosphere,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wan, M.[Moufeng],
Zhang, K.[Kefei],
Wu, S.[Suqin],
Sun, P.[Peng],
Li, L.[Longjiang],
Development of a New Vertical Water Vapor Model for GNSS Water Vapor
Tomography,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Yin, R.[Ruoying],
Han, W.[Wei],
Wang, H.[Hao],
Wang, J.C.[Jin-Cheng],
Impacts of FY-4A GIIRS Water Vapor Channels Data Assimilation on the
Forecast of '21-7' Extreme Rainstorm in Henan, China with CMA-MESO,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Liu, J.J.[Jun-Jian],
Fan, S.Y.[Shui-Yong],
Ali, M.[Mamtimin],
Li, H.Q.[Huo-Qing],
Zhang, H.L.[Hai-Liang],
Wang, Y.[Yu],
Aihaiti, A.[Ailiyaer],
Assimilation of Water Vapor Retrieved from Radar Reflectivity Data
through the Bayesian Method,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Antonoglou, N.[Nikolaos],
Balidakis, K.[Kyriakos],
Wickert, J.[Jens],
Dick, G.[Galina],
de la Torre, A.[Alejandro],
Bookhagen, B.[Bodo],
Water-Vapour Monitoring from Ground-Based GNSS Observations in
Northwestern Argentina,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, X.Z.[Xin-Zhi],
Chen, F.Y.[Fa-Yuan],
Ke, F.Y.[Fu-Yang],
Xu, C.[Chang],
An Empirical Grid Model for Precipitable Water Vapor,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Shikhovtsev, A.Y.[Artem Yu.],
Kovadlo, P.G.[Pavel G.],
Khaikin, V.B.[Vladimir B.],
Kiselev, A.V.[Alexander V.],
Precipitable Water Vapor and Fractional Clear Sky Statistics within
the Big Telescope Alt-Azimuthal Region,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, C.[Chao],
Shi, Z.[Zheng],
Xie, Y.Q.[Yan-Qing],
Luo, D.G.[Dong-Gen],
Li, Z.Q.[Zheng-Qiang],
Wang, D.C.[De-Cheng],
Chen, X.[Xiangning],
Precipitable Water Vapor Retrieval Based on DPC Onboard GaoFen-5 (02)
Satellite,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Xu, X.H.[Xiao-Hong],
Zeng, Y.[Yi],
Yu, X.[Xing],
Liu, G.H.[Gui-Hua],
Yue, Z.G.[Zhi-Guo],
Dai, J.[Jin],
Feng, Q.J.[Qiu-Juan],
Liu, P.[Pu],
Wang, J.[Jin],
Zhu, Y.[Yannian],
Identification of Supercooled Cloud Water by FY-4A Satellite and
Validation by CALIPSO and Airborne Detection,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Zhu, L.Y.[Lin-Yan],
Zhou, R.L.[Rong-Lian],
Di, D.[Di],
Bai, W.G.[Wen-Guang],
Liu, Z.J.[Zi-Jing],
Retrieval of Atmospheric Water Vapor Content in the Environment from
AHI/H8 Using Both Physical and Random Forest Methods—A Case
Study for Typhoon Maria (201808),
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Kim, Y.J.[Yoo-Jun],
Jee, J.B.[Joon-Bum],
Lim, B.[Byunghwan],
Investigating the Influence of Water Vapor on Heavy Rainfall Events
in the Southern Korean Peninsula,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Zhang, Z.H.[Zhi-Hua],
Wang, X.[Xin],
Lyu, D.[Daren],
Estimation of Moist Atmospheric Profiles from Refraction and
Attenuation Measurements by Using Centimeter and Millimeter Wave
Links between LEO Satellites,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Pravia-Sarabia, E.[Enrique],
Montávez, J.P.[Juan Pedro],
Halifa-Marin, A.[Amar],
Jiménez-Guerrero, P.[Pedro],
Gomez-Navarro, J.J.[Juan José],
The Role of Aerosol Concentration on Precipitation in a Winter
Extreme Mixed-Phase System: The Case of Storm Filomena,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Zhou, L.H.[Ling-Hao],
Fan, L.[Lei],
Shi, C.[Chuang],
Evaluation and Analysis of Remotely Sensed Water Vapor from the NASA
VIIRS/SNPP Product in Mainland China Using GPS Data,
RS(15), No. 6, 2023, pp. 1528.
DOI Link
2304
BibRef
Lee, K.S.[Kyeong-Sang],
Park, M.S.[Myung-Sook],
Choi, J.K.[Jong-Kuk],
Ahn, J.H.[Jae-Hyun],
Improvement of GOCI-II Water Vapor Absorption Correction through
Fusion with GK-2A/AMI Data,
RS(15), No. 8, 2023, pp. 2124.
DOI Link
2305
BibRef
Randel, W.J.[William J.],
Johnston, B.R.[Benjamin R.],
Braun, J.J.[John J.],
Sokolovskiy, S.[Sergey],
Vömel, H.[Holger],
Podglajen, A.[Aurelien],
Legras, B.[Bernard],
Stratospheric Water Vapor from the Hunga Tonga-Hunga Ha'apai Volcanic
Eruption Deduced from COSMIC-2 Radio Occultation,
RS(15), No. 8, 2023, pp. 2167.
DOI Link
2305
BibRef
Chen, W.G.[Wen-Guang],
Wang, X.[Xiao],
Yan, B.L.[Bing-Long],
Chen, J.J.[Jun-Jie],
Jiang, T.C.[Ting-Chen],
Sun, J.L.[Jia-Long],
Gas Plume Target Detection in Multibeam Water Column Image Using Deep
Residual Aggregation Structure and Attention Mechanism,
RS(15), No. 11, 2023, pp. 2896.
DOI Link
2306
BibRef
Wu, P.[Peng],
Shan, C.G.[Chang-Gong],
Liu, C.[Chen],
Xie, Y.[Yu],
Wang, W.[Wei],
Zhu, Q.Q.[Qian-Qian],
Zeng, X.Y.[Xiang-Yu],
Liang, B.[Bin],
Ground-Based Remote Sensing of Atmospheric Water Vapor Using
High-Resolution FTIR Spectrometry,
RS(15), No. 14, 2023, pp. 3484.
DOI Link
2307
BibRef
Jin, C.[Chen],
He, Q.[Qing],
Huang, Q.[Qian],
Effect of Water Vapor Transport on a Typical Rainstorm Process in the
Arid Region of Southern Xinjiang: Observations and Numerical
Simulations,
RS(15), No. 16, 2023, pp. 4082.
DOI Link
2309
BibRef
Yang, G.[Gahong],
Xiao, Y.Q.[Yan-Qiong],
Wang, S.J.[Sheng-Jie],
Qian, Y.Q.[Yu-Qing],
Li, H.Y.[Hong-Yang],
Zhang, M.J.[Ming-Jun],
Satellite-Based Distribution of Inverse Altitude Effect of Global
Water Vapor Isotopes: Potential Influences on Isotopes in Climate
Proxies,
RS(15), No. 18, 2023, pp. 4533.
DOI Link
2310
BibRef
He, C.[Chuan],
Yin, Y.[Yan],
Huang, Y.[Yi],
Kuang, X.[Xiang],
Cui, Y.[Yi],
Chen, K.[Kui],
Jiang, H.[Hui],
Kiselev, A.[Alexei],
Möhler, O.[Ottmar],
Schrod, J.[Jann],
The Vertical Distribution of Ice-Nucleating Particles over the North
China Plain: A Case of Cold Front Passage,
RS(15), No. 20, 2023, pp. 4989.
DOI Link
2310
BibRef
Guo, X.L.[Xing-Lin],
Huang, K.M.[Kai-Ming],
Fang, J.J.[Jun-Jie],
Zhang, Z.[Zirui],
Cao, R.[Rang],
Yi, F.[Fan],
Seasonal and Diurnal Changes of Air Temperature and Water Vapor
Observed with a Microwave Radiometer in Wuhan, China,
RS(15), No. 22, 2023, pp. 5422.
DOI Link
2311
BibRef
Zhu, D.T.[Dan-Tong],
Zhong, Z.H.[Zhen-Hao],
Zhang, M.H.[Ming-Hao],
Wu, S.[Suqin],
Zhang, K.[Kefei],
Li, Z.[Zhen],
Hu, Q.F.[Qing-Feng],
Liu, X.L.[Xian-Lin],
Liu, J.[Junguo],
An Improved Principal Component Analysis Method for the Interpolation
of Missing Data in GNSS-Derived PWV Time Series,
RS(15), No. 21, 2023, pp. 5153.
DOI Link
2311
BibRef
Kim, Y.[Yura],
Ye, B.Y.[Bo-Young],
Suk, M.K.[Mi-Kyung],
AIDER: Aircraft Icing Potential Area DEtection in Real-Time Using
3-Dimensional Radar and Atmospheric Variables,
RS(16), No. 8, 2024, pp. 1468.
DOI Link
2405
BibRef
Lee, J.N.[Jae N.],
Wu, D.L.[Dong L.],
Thurairajah, B.[Brentha],
Hozumi, Y.[Yuta],
Tsuda, T.[Takuo],
The Sensitivity of Polar Mesospheric Clouds to Mesospheric
Temperature and Water Vapor,
RS(16), No. 9, 2024, pp. 1563.
DOI Link
2405
BibRef
Yue, C.[Caiya],
Wang, H.[Hu],
Xu, C.H.[Chang-Hui],
Augmentation Method for Weighted Mean Temperature and Precipitable
Water Vapor Based on the Refined Air Temperature at 2 m above the
Surface of Land from ERA5,
RS(16), No. 12, 2024, pp. 2055.
DOI Link
2406
BibRef
Sun, Z.H.[Zhi-Hong],
Gao, S.[Si],
Jian, M.[Maoqiu],
Comparison of the Water Vapor Budget Evolution of Developing and
Non-Developing Disturbances over the Western North Pacific,
RS(16), No. 13, 2024, pp. 2396.
DOI Link
2407
BibRef
Lv, R.C.[Rong-Chuan],
Gao, W.Y.[Wen-Yu],
Luo, F.[Feng],
Li, Y.[Yinan],
He, Z.[Zheng],
Wang, C.C.[Cong-Cong],
Zhang, Y.[Yan],
Zhang, C.Z.[Cheng-Zhen],
Sun, D.Z.[Dao-Zhong],
Shang, J.[Jian],
Dou, F.[Fangli],
Wang, X.D.[Xiao-Dong],
Instrument Design and In-Flight Performance of an Airborne Terahertz
Ice Cloud Imager,
RS(16), No. 14, 2024, pp. 2602.
DOI Link
2408
BibRef
Shen, W.Q.[Wen-Qi],
Chen, S.Q.[Si-Qi],
Xu, J.J.[Jian-Jun],
Zhang, Y.[Yu],
Liang, X.D.[Xu-Dong],
Zhang, Y.[Yong],
Enhancing Extreme Precipitation Forecasts through Machine Learning
Quality Control of Precipitable Water Data from Satellite FengYun-2E:
A Comparative Study of Minimum Covariance Determinant and Isolation
Forest Methods,
RS(16), No. 16, 2024, pp. 3104.
DOI Link
2408
BibRef
Liu, H.L.[Hai-Lei],
Zhou, X.Q.[Xiao-Qing],
Zhu, Y.Y.[Yu-Yang],
Duan, M.Z.[Min-Zheng],
Chen, B.[Bing],
Zhang, S.L.[Sheng-Lan],
Evaluation and Correction of GFS Water Vapor Products over United
States Using GPS Data,
RS(16), No. 16, 2024, pp. 3043.
DOI Link
2408
BibRef
Chao, L.[Luyao],
Tian, H.Y.[Hong-Ying],
Tu, X.X.[Xiao-Xu],
Jiang, J.Y.[Jia-Ying],
Shen, K.L.[Kai-Long],
Comparison of the Impacts of Sea Surface Temperature in the Western
Pacific and Indian Ocean on the Asian Summer Monsoon Anticyclone and
Water Vapor in the Upper Troposphere,
RS(16), No. 16, 2024, pp. 2922.
DOI Link
2408
BibRef
Cao, Y.C.[Yun-Chang],
Cheng, Z.H.[Zhen-Hua],
Liang, J.[Jingshu],
Zhao, P.P.[Pan-Pan],
Cao, Y.[Yucan],
Wang, Y.Z.[Yi-Zhu],
Performance of Ground-Based Global Navigation Satellite System
Precipitable Water Vapor Retrieval in Beijing with the BeiDou B2b
Service,
RS(16), No. 16, 2024, pp. 2902.
DOI Link
2408
BibRef
Wang, R.N.[Ruo-Nan],
Wu, G.[Guiping],
Liu, Y.W.[Yong-Wei],
Wang, R.[Rong],
Fan, X.W.[Xing-Wang],
Liu, Y.B.[Yuan-Bo],
Significant Increase in African Water Vapor over 2001-2020,
RS(16), No. 16, 2024, pp. 2875.
DOI Link
2408
BibRef
Mateus, P.[Pedro],
Catalăo, J.[Joăo],
Fernandes, R.[Rui],
Miranda, P.M.A.[Pedro M. A.],
Atmospheric Water Vapor Variability over Houston: Continuous GNSS
Tomography in the Year of Hurricane Harvey (2017),
RS(16), No. 17, 2024, pp. 3205.
DOI Link
2409
BibRef
Zhang, T.P.[Tian-Pei],
Yin, Z.P.[Zhen-Ping],
Wei, Y.[Yubin],
Dai, Y.[Yaru],
Wang, L.L.[Long-Long],
Dong, X.Y.[Xiang-Yu],
Gao, Y.[Yuan],
Wei, L.[Lude],
Zhang, Q.X.[Qi-Xiong],
Hu, D.[Di],
Zhou, Y.F.[Yi-Fan],
Vertical Distribution of Water Vapor During Haze Processes in
Northeast China Based on Raman Lidar Measurements,
RS(16), No. 19, 2024, pp. 3713.
DOI Link
2410
BibRef
Facheris, L.[Luca],
Cuccoli, F.[Fabrizio],
Cortesi, U.[Ugo],
del Bianco, S.[Samuele],
Gai, M.[Marco],
Macelloni, G.[Giovanni],
Montomoli, F.[Francesco],
A New NDSA (Normalized Differential Spectral Attenuation) Measurement
Campaign for Estimating Water Vapor along a Radio Link,
RS(16), No. 19, 2024, pp. 3735.
DOI Link
2410
BibRef
Salihin, S.,
Musa, T.A.,
Mohd Radzi, Z.,
Spatio-temporal Estimation of Integrated Water Vapour Over The
Malaysian Peninsula During Monsoon Season,
GeoDisast17(165-175).
DOI Link
1805
BibRef
Novotny, J.,
Dejmal, K.,
Hudec, F.,
Kolar, P.,
Detection Of Dry Intrusion On Water Vapor Images Over Central Europe:
June 2010 To September 2011,
ISPRS16(B8: 281-284).
DOI Link
1610
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
GNSS applied to Atmospheric, Water Vapor, Precipitable Water Vapor, PWV .