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
Moradi, I.,
Buehler, S.A.,
John, V.O.,
Reale, A.,
Ferraro, R.R.,
Evaluating Instrumental Inhomogeneities in Global Radiosonde Upper
Tropospheric Humidity Data Using Microwave Satellite Data,
GeoRS(51), No. 6, 2013, pp. 3615-3624.
IEEE DOI
1307
water vapor profiles
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
Antonini, A.,
Benedetti, R.,
Ortolani, A.,
Rovai, L.,
Schiavon, G.,
Water Vapor Probabilistic Retrieval Using GNSS Signals,
GeoRS(52), No. 3, March 2014, pp. 1892-1900.
IEEE DOI
1403
atmospheric humidity
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
Alshawaf, F.,
Fuhrmann, T.,
Knopfler, A.,
Luo, X.,
Mayer, M.,
Hinz, S.,
Heck, B.,
Accurate Estimation of Atmospheric Water Vapor Using GNSS
Observations and Surface Meteorological Data,
GeoRS(53), No. 7, July 2015, pp. 3764-3771.
IEEE DOI
1503
Atmospheric measurements
BibRef
Li, X.X.[Xing-Xing],
Dick, G.,
Lu, C.X.[Cui-Xian],
Ge, M.,
Nilsson, T.,
Ning, T.[Tong],
Wickert, J.,
Schuh, H.,
Multi-GNSS Meteorology: Real-Time Retrieving of Atmospheric Water
Vapor From BeiDou, Galileo, GLONASS, and GPS Observations,
GeoRS(53), No. 12, December 2015, pp. 6385-6393.
IEEE DOI
1512
atmospheric humidity
BibRef
Kottayil, A.[Ajil],
John, V.O.[Viju O.],
Buehler, S.A.[Stefan A.],
Mohanakumar, K.[Kesavapillai],
Evaluating the Diurnal Cycle of Upper Tropospheric Humidity in Two
Different Climate Models Using Satellite Observations,
RS(8), No. 4, 2016, pp. 325.
DOI Link
1604
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
Lu, C.X.[Cui-Xian],
Chen, X.H.[Xing-Han],
Liu, G.[Gen],
Dick, G.[Galina],
Wickert, J.[Jens],
Jiang, X.Y.[Xin-Yuan],
Zheng, K.[Kai],
Schuh, H.[Harald],
Real-Time Tropospheric Delays Retrieved from Multi-GNSS Observations
and IGS Real-Time Product Streams,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Moradi, I.,
Ferraro, R.R.,
Soden, B.J.,
Eriksson, P.,
Arkin, P.,
Retrieving Layer-Averaged Tropospheric Humidity From Advanced
Technology Microwave Sounder Water Vapor Channels,
GeoRS(53), No. 12, December 2015, pp. 6675-6688.
IEEE DOI
1512
atmospheric humidity
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.[Shirong],
Chen, D.[Dezhong],
Liu, Y.[Yanyan],
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],
Vérèmes, H.[Hélène],
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],
Catalão, J.[João],
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
Qin, Z.,
Zou, X.,
Uncertainty in Fengyun-3C Microwave Humidity Sounder Measurements at
118 GHz With Respect to Simulations From GPS RO Data,
GeoRS(54), No. 12, December 2016, pp. 6907-6918.
IEEE DOI
1612
atmospheric techniques
BibRef
Dupuy, E.[Eric],
Morino, I.[Isamu],
Deutscher, N.M.[Nicholas M.],
Yoshida, Y.[Yukio],
Uchino, O.[Osamu],
Connor, B.J.[Brian J.],
de Mazière, 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
Mateus, P.,
Catalão, J.,
Nico, G.,
Sentinel-1 Interferometric SAR Mapping of Precipitable Water Vapor
Over a Country-Spanning Area,
GeoRS(55), No. 5, May 2017, pp. 2993-2999.
IEEE DOI
1705
atmospheric humidity, data assimilation, radar interferometry,
remote sensing by radar, satellite navigation,
synthetic aperture radar, GNSS measurement, Iberian Peninsula,
SAR meteorology, Sentinel-1 Interferometric SAR mapping,
Sentinel-1A SAR images, atmosphere precipitable water vapor,
country-spanning area, global navigation satellite system,
interferometric SAR data assimilation,
interferometric Sentinel-1A-B C-band synthetic aperture radar data,
numerical weather model, Atmosphere, Delays, Image segmentation,
Meteorology, Sensors, Spatial resolution, Synthetic aperture radar,
Global navigation satellite system (GNSS),
SAR interferometry (InSAR), Sentinel-1, moisture content,
precipitable water vapor (PWV), synthetic, aperture, radar, (SAR)
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
Zhang, B.[Bao],
Fan, Q.B.[Qing-Biao],
Yao, Y.B.[Yi-Bin],
Xu, C.J.[Cai-Jun],
Li, X.X.[Xing-Xing],
An Improved Tomography Approach Based on Adaptive Smoothing and
Ground Meteorological Observations,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
GNSS for water vapor.
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
Chen, Z.[Zhiping],
Li, J.C.[Jian-Cheng],
Luo, J.[Jia],
Cao, X.[Xinyun],
A New Strategy for Extracting ENSO Related Signals in the Troposphere
and Lower Stratosphere from GNSS RO Specific Humidity Observations,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
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.[Tianle],
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.,
Diani, M.,
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
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.[Jinyang],
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
Shi, L.[Lei],
Schreck, C.J.[Carl J.],
Schröder, M.[Marc],
Assessing the Pattern Differences between Satellite-Observed Upper
Tropospheric Humidity and Total Column Water Vapor during Major El
Niño Events,
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
Paola, F.D.[Francesco Di],
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],
Sanò, 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
Krietemeyer, A.[Andreas],
ten Veldhuis, M.C.[Marie-Claire],
van der Marel, H.[Hans],
Realini, E.[Eugenio],
van de Giesen, N.[Nick],
Potential of Cost-Efficient Single Frequency GNSS Receivers for Water
Vapor Monitoring,
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
Muñoz-Porcar, C.,
Comerón, A.,
Sicard, M.,
Barragan, R.,
Garcia-Vizcaino, D.,
Rodríguez-Gómez, A.,
Rocadenbosch, F.,
Granados-Muñoz, 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
Wang, Z.,
Li, J.,
He, J.,
Zhang, S.,
Gu, S.,
Li, Y.,
Guo, Y.,
He, B.,
Performance Analysis of Microwave Humidity and Temperature Sounder
Onboard the FY-3D Satellite From Prelaunch Multiangle Calibration
Data in Thermal/Vacuum Test,
GeoRS(57), No. 3, March 2019, pp. 1664-1683.
IEEE DOI
1903
atmospheric humidity, atmospheric measuring apparatus,
atmospheric techniques, atmospheric temperature, calibration,
thermal/vacuum (T/V) test
BibRef
Gao, Q.D.[Qi-Dong],
Wang, S.[Sheng],
Yang, X.F.[Xiao-Feng],
Estimation of Surface Air Specific Humidity and Air-Sea Latent Heat
Flux Using FY-3C Microwave Observations,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Hans, I.[Imke],
Burgdorf, M.[Martin],
Buehler, S.A.[Stefan A.],
Prange, M.[Marc],
Lang, T.[Theresa],
John, V.O.[Viju O.],
An Uncertainty Quantified Fundamental Climate Data Record for
Microwave Humidity Sounders,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Hans, I.[Imke],
Burgdorf, M.[Martin],
Buehler, S.A.[Stefan A.],
Onboard Radio Frequency Interference as the Origin of Inter-Satellite
Biases for Microwave Humidity Sounders,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Benevides, P.[Pedro],
Catalao, J.[Joao],
Nico, G.[Giovanni],
Neural Network Approach to Forecast Hourly Intense Rainfall Using
GNSS Precipitable Water Vapor and Meteorological Sensors,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Yang, F.[Fei],
Guo, J.M.[Ji-Ming],
Meng, X.L.[Xiao-Lin],
Shi, J.B.[Jun-Bo],
Zhou, L.[Lv],
Establishment and Assessment of a New GNSS Precipitable Water Vapor
Interpolation Scheme Based on the GPT2w Model,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
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
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
Baldysz, Z.[Zofia],
Nykiel, G.[Grzegorz],
Improved Empirical Coefficients for Estimating Water Vapor Weighted
Mean Temperature over Europe for GNSS Applications,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Mota, G.V.[Galdino V.],
Song, S.[Shuli],
Stepniak, K.[Katarzyna],
Assessment of Integrated Water Vapor Estimates from the iGMAS and the
Brazilian Network GNSS Ground-Based Receivers in Rio de Janeiro,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link
1911
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
Liu, Y.Z.[Yu-Zhi],
Tang, Y.[Yuhan],
Hua, S.[Shan],
Luo, R.[Run],
Zhu, Q.Z.[Qing-Zhe],
Features of the Cloud Base Height and Determining the Threshold of
Relative Humidity over Southeast China,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Mateus, P.,
Catalão, 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
Luo, M.[Min],
Liu, Y.[Yuzhi],
Zhu, Q.Z.[Qing-Zhe],
Tang, Y.[Yuhan],
Alam, K.[Khan],
Role and Mechanisms of Black Carbon Affecting Water Vapor Transport
to Tibet,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
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
Wang, T.X.[Tian-Xing],
Shi, J.C.[Jian-Cheng],
Ma, Y.[Ya],
Letu, H.[Husi],
Li, X.[Xingcai],
All-sky longwave downward radiation from satellite measurements:
General parameterizations based on LST, column water vapor and cloud
top temperature,
PandRS(161), 2020, pp. 52-60.
Elsevier DOI
2002
Surface longwave downward radiation, Land surface temperature,
Column water vapor, Cloud-top temperature, CERES, Cloudy-sky
BibRef
Zhao, Q.Z.[Qing-Zhi],
Liu, Y.[Yang],
Yao, W.Q.[Wan-Qiang],
Ma, X.W.[Xiong-Wei],
Yao, Y.[Yibin],
A Novel ENSO Monitoring Method using Precipitable Water Vapor and
Temperature in Southeast China,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
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.],
Cañas, 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.,
Liu, Z.,
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
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
Xue, Y.H.[Yun-Heng],
Li, J.[Jun],
Li, Z.L.[Zheng-Long],
Gunshor, M.M.[Mathew M.],
Schmit, T.J.[Timothy J.],
Evaluation of the Diurnal Variation of Upper Tropospheric Humidity in
Reanalysis Using Homogenized Observed Radiances from International
Geostationary Weather Satellites,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
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
Wang, S.M.[Shuai-Min],
Xu, T.[Tianhe],
Nie, W.F.[Wen-Feng],
Jiang, C.H.[Chun-Hua],
Yang, Y.G.[Yu-Guo],
Fang, Z.L.[Zhen-Long],
Li, M.[Mowen],
Zhang, Z.[Zhen],
Evaluation of Precipitable Water Vapor from Five Reanalysis Products
with Ground-Based GNSS Observations,
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
Yao, Y.[Yibin],
Liu, C.[Chen],
Xu, C.Q.[Chao-Qian],
A New GNSS-Derived Water Vapor Tomography Method Based on Optimized
Voxel for Large GNSS Network,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Yao, Y.[Yibin],
Liu, C.[Chen],
Xu, C.Q.[Chao-Qian],
Tan, Y.[Yu],
Fang, M.[Mingshan],
A Refined Tomographic Window for GNSS-Derived Water Vapor Tomography,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
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
Mertikas, S.[Stelios],
Partsinevelos, P.[Panagiotis],
Tripolitsiotis, A.[Achilleas],
Kokolakis, C.[Costas],
Petrakis, G.[George],
Frantzis, X.[Xenophon],
Validation of Sentinel-3 OLCI Integrated Water Vapor Products Using
Regional GNSS Measurements in Crete, Greece,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Kan, W.,
Han, Y.,
Weng, F.,
Guan, L.,
Gu, S.,
Multisource Assessments of the FengYun-3D Microwave Humidity Sounder
(MWHS) On-Orbit Performance,
GeoRS(58), No. 10, October 2020, pp. 7258-7268.
IEEE DOI
2009
Calibration, Instruments, Microwave theory and techniques,
Atmospheric modeling, Meteorology,
multisource assessments
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.[Qihou],
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
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
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