22.1.6.49 Atmospheric, Water Vapor, Precipitable Water Vapor, PWV

Chapter Contents (Back)
Aerosols. Water Vapor.
See also GNSS applied to Atmospheric, Water Vapor, Precipitable Water Vapor, PWV. The result of water vapor, Rain:
See also Rainfall Analysis, Rain, Precipitation, Weather Radar.
See also GPS Tropospheric Delay, Troposhperic Effects.

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

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

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

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

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.[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.[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

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

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

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
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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,
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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.,
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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,
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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,
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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,
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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,
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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,
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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,
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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,
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Zhou, J.[Jun], Yang, H.[Hu],
Comparison of the Remapping Algorithms for the Advanced Technology Microwave Sounder (ATMS),
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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
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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.
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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.
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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,
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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,
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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,
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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.
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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.
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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,
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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,
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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,
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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,
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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,
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Kan, W., Han, Y., Weng, F., Guan, L., Gu, S.,
Multisource Assessments of the FengYun-3D Microwave Humidity Sounder (MWHS) On-Orbit Performance,
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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,
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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,
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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.
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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,
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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,
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DOI Link 2012
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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.
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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

Cooper, K.B., Roy, R.J., Dengler, R., Monje, R.R., Alonso-Delpino, M., Siles, J.V., Yurduseven, O., Parashare, C., Millán, L., Lebsock, M.,
G-Band Radar for Humidity and Cloud Remote Sensing,
GeoRS(59), No. 2, February 2021, pp. 1106-1117.
IEEE DOI 2101
Atmospheric measurements, Frequency measurement, Radar measurements, Clouds, Humidity, Radar antennas, Airborne radar, millimeter wave radar BibRef

Sun, B.[Bomin], Calbet, X.[Xavier], Reale, A.[Anthony], Schroeder, S.[Steven], Bali, M.[Manik], Smith, R.[Ryan], Pettey, M.[Michael],
Accuracy of Vaisala RS41 and RS92 Upper Tropospheric Humidity Compared to Satellite Hyperspectral Infrared Measurements,
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Liu, Q.H.(.[Quan-Hua (Mark)], Cao, C.[Changyong], 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
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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,
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Obregón, M.Á.[María Ángeles], Serrano, A.[Antonio], Costa, M.J.[Maria João], Silva, A.M.[Ana Maria],
Global Spatial and Temporal Variation of the Combined Effect of Aerosol and Water Vapour on Solar Radiation,
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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,
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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,
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Preusker, R.[René], Henken, C.C.[Cintia Carbajal], Fischer, J.[Jürgen],
Retrieval of Daytime Total Column Water Vapour from OLCI Measurements over Land Surfaces,
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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,
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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,
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Musa, T.A., Mazlan, M.H., Opaluwa, Y.D., Musliman, I.A., Radzi, Z.M.,
Water Vapour Weighted Mean Temperature Model for GPS-derived Integrated Water Vapour in Peninsular Malaysia,
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Salihin, S., Musa, T.A., Mohd Radzi, Z.,
Spatio-temporal Estimation of Integrated Water Vapour Over The Malaysian Peninsula During Monsoon Season,
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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).
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
GNSS applied to Atmospheric, Water Vapor, Precipitable Water Vapor, PWV .


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