{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T19:14:44Z","timestamp":1776539684171,"version":"3.51.2"},"reference-count":137,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T00:00:00Z","timestamp":1623369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["IB18092"],"award-info":[{"award-number":["IB18092"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014181","name":"Junta de Extremadura","doi-asserted-by":"publisher","award":["IB18092"],"award-info":[{"award-number":["IB18092"]}],"id":[{"id":"10.13039\/501100014181","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014181","name":"Junta de Extremadura","doi-asserted-by":"publisher","award":["PD18029"],"award-info":[{"award-number":["PD18029"]}],"id":[{"id":"10.13039\/501100014181","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["CGL2017-87917-P"],"award-info":[{"award-number":["CGL2017-87917-P"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004895","name":"European Social Fund","doi-asserted-by":"publisher","award":["PD18029"],"award-info":[{"award-number":["PD18029"]}],"id":[{"id":"10.13039\/501100004895","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>After 30 years since the beginning of the Global Positioning System (GPS), or, more generally, Global Navigation Satellite System (GNSS) meteorology, this technique has proven to be a reliable method for retrieving atmospheric water vapor; it is low-cost, weather independent, with high temporal resolution and is highly accurate and precise. GNSS ground-based networks are becoming denser, and the first stations installed have now quite long time-series that allow the study of the temporal features of water vapor and its relevant role inside the climate system. In this review, the different GNSS methodologies to retrieve atmospheric water vapor content re-examined, such as tomography, conversion of GNSS tropospheric delay to water vapor estimates, analyses of errors, and combinations of GNSS with other sources to enhance water vapor information. Moreover, the use of these data in different kinds of studies is discussed. For instance, the GNSS technique is commonly used as a reference tool for validating other water vapor products (e.g., radiosounding, radiometers onboard satellite platforms or ground-based instruments). Additionally, GNSS retrievals are largely used in order to determine the high spatio-temporal variability and long-term trends of atmospheric water vapor or in models with the goal of determining its notable influence on the climate system (e.g., assimilation in numerical prediction, as input to radiative transfer models, study of circulation patterns, etc.).<\/jats:p>","DOI":"10.3390\/rs13122287","type":"journal-article","created":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T02:55:28Z","timestamp":1623380128000},"page":"2287","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":63,"title":["Review on the Role of GNSS Meteorology in Monitoring Water Vapor for Atmospheric Physics"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1741-3840","authenticated-orcid":false,"given":"Javier","family":"Vaquero-Mart\u00ednez","sequence":"first","affiliation":[{"name":"Department of Physics, Universidad de Extremadura, 06006 Badajoz, Spain"},{"name":"Instituto Universitario de Investigacion del Agua, Cambio Climatico y Sostenibilidad (IACYS), Universidad de Extremadura, 06006 Badajoz, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0816-3758","authenticated-orcid":false,"given":"Manuel","family":"Ant\u00f3n","sequence":"additional","affiliation":[{"name":"Department of Physics, Universidad de Extremadura, 06006 Badajoz, Spain"},{"name":"Instituto Universitario de Investigacion del Agua, Cambio Climatico y Sostenibilidad (IACYS), Universidad de Extremadura, 06006 Badajoz, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1007\/s00382-003-0310-z","article-title":"A Comparison of Climate Feedbacks in General Circulation Models","volume":"20","author":"Colman","year":"2003","journal-title":"Clim. Dyn."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3173","DOI":"10.1002\/2014JD022896","article-title":"Climate Radiative Feedbacks and Adjustments at the Earth\u2019s Surface","volume":"120","author":"Colman","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_3","unstructured":"Myhre, G., Shindell, D., Br\u00e9on, F.M., Collins, W., Fuglestvedt, J., Huang, J., Koch, D., Lamarque, J.F., Lee, D., and Mendoza, B. (2013). Anthropogenic and Natural Radiative Forcing. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambrdige University Press."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Bonafoni, S., Biondi, R., Brenot, H., and Anthes, R. (2019). Radio Occultation and Ground-Based GNSS Products for Observing, Understanding and Predicting Extreme Events: A Review. Atmos. Res., 230.","DOI":"10.1016\/j.atmosres.2019.104624"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2776","DOI":"10.1016\/j.asr.2017.05.011","article-title":"A Review of Low Earth Orbit Occultation Using Microwave and Infrared-Laser Signals for Monitoring the Atmosphere and Climate","volume":"60","author":"Liu","year":"2017","journal-title":"Adv. Space Res."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Wickert, J., Michalak, G., Schmidt, T., Beyerle, G., Cheng, C.Z., Healy, S.B., Heise, S., Huang, C.Y., Jakowski, N., and K\u00f6hler, W. (2009). GPS Radio Occultation: Results from CHAMP, GRACE and FORMOSAT-3\/COSMIC. Terr. Atmos. Ocean. Sci., 20.","DOI":"10.3319\/TAO.2007.12.26.01(F3C)"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Bevis, M., Businger, S., Herring, T.A., Rocken, C., Anthes, R.A., and Ware, R.H. (1992). GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System. J. Geophys. Res., 97.","DOI":"10.1029\/92JD01517"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1175\/1520-0450(1994)033<0379:GMMZWD>2.0.CO;2","article-title":"GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water","volume":"33","author":"Bevis","year":"1994","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1175\/1520-0477(1996)077<0305:ROFEAO>2.0.CO;2","article-title":"Research Opportunities from Emerging Atmospheric Observing and Modeling Capabilities","volume":"77","author":"Dabberdt","year":"1996","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.asr.2005.05.125","article-title":"The International GPS Service: Celebrating the 10th Anniversary and Looking to the next Decade","volume":"36","author":"Dow","year":"2005","journal-title":"Adv. Space Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2953","DOI":"10.1029\/1999GL010970","article-title":"Influence of the Ocean Loading Effect on GPS Derived Precipitable Water Vapor","volume":"27","author":"Dach","year":"2000","journal-title":"Geophys. Res. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1295","DOI":"10.1016\/S1364-6826(00)00248-0","article-title":"First Experience with near Real-Time Water Vapor Estimation in a German GPS Network","volume":"63","author":"Dick","year":"2001","journal-title":"J. Atmos. Sol. Terr. Phys."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1175\/1520-0493(2002)130<0386:DOTDWV>2.0.CO;2","article-title":"Diagnosis of Three-Dimensional Water Vapor Using a GPS Network","volume":"130","author":"MacDonald","year":"2002","journal-title":"Mon. Weather Rev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"0223","DOI":"10.1007\/s00585-000-0223-7","article-title":"4D Tropospheric Tomography Using GPS Slant Wet Delays","volume":"18","author":"Flores","year":"2000","journal-title":"Ann. Geophys."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2039","DOI":"10.5194\/acp-6-2039-2006","article-title":"The STARTWAVE Atmospheric Water Database","volume":"6","author":"Morland","year":"2006","journal-title":"Atmos. Chem. Phys."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1727","DOI":"10.5194\/angeo-25-1727-2007","article-title":"Preconditions to Ground Based GPS Water Vapour Tomography","volume":"25","author":"Bender","year":"2007","journal-title":"Ann. Geophys."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6385","DOI":"10.1109\/TGRS.2015.2438395","article-title":"Multi-GNSS Meteorology: Real-Time Retrieving of Atmospheric Water Vapor From BeiDou, Galileo, GLONASS, and GPS Observations","volume":"53","author":"Li","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.1016\/j.asr.2017.01.011","article-title":"The Multi-GNSS Experiment (MGEX) of the International GNSS Service (IGS)\u2014Achievements, Prospects and Challenges","volume":"59","author":"Montenbruck","year":"2017","journal-title":"Adv. Space Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1017\/S1350482700001377","article-title":"On the Relation between the Wet Delay and the Integrated Precipitable Water Vapour in the European Atmosphere","volume":"7","author":"Emardson","year":"2000","journal-title":"Meteorol. Appl."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1935","DOI":"10.5194\/angeo-25-1935-2007","article-title":"Empirical Model for Mean Temperature for Indian Zone and Estimation of Precipitable Water Vapor from Ground Based GPS Measurements","volume":"25","author":"Saha","year":"2007","journal-title":"Ann. Geophys."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2851","DOI":"10.5194\/angeo-27-2851-2009","article-title":"Integrated Water Vapor from IGS Ground-Based GPS Observations: Initial Results from a Global 5-Min Data Set","volume":"27","author":"Heise","year":"2009","journal-title":"Ann. Geophys."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Wang, Z., Xing, Z., Zhou, X., Tang, Q., Zhou, D., and Sun, W. (2019). GPS-Based Precipitable Water Vapour Retrieval and Variability Using Measured and Global Reanalysis Data in the Coastal Regions of China. Int. J. Remote Sens.","DOI":"10.1080\/01431161.2019.1624861"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1897","DOI":"10.1007\/s00190-019-01290-6","article-title":"On the Suitability of ERA5 in Hourly GPS Precipitable Water Vapor Retrieval over China","volume":"93","author":"Zhang","year":"2019","journal-title":"J. Geod."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1007\/s10291-014-0403-7","article-title":"Development of an Improved Empirical Model for Slant Delays in the Troposphere (GPT2w)","volume":"19","author":"Schindelegger","year":"2015","journal-title":"GPS Solut."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1007\/s00190-017-1066-2","article-title":"VMF3\/GPT3: Refined Discrete and Empirical Troposphere Mapping Functions","volume":"92","author":"Landskron","year":"2018","journal-title":"J. Geod."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Charoenphon, C., and Satirapod, C. (2020). Improving the Accuracy of Real-Time Precipitable Water Vapour Using Country-Wide Meteorological Model with Precise Point Positioning in Thailand. J. Spat. Sci., 1\u201317.","DOI":"10.1080\/14498596.2020.1758969"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"223","DOI":"10.2151\/jmsj1965.78.3_223","article-title":"The Influence of the Moisture Gradient on the Accuracy of Precipitable Water Derived from GPS Data","volume":"78","author":"Iwasaki","year":"2000","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3847","DOI":"10.1109\/TGRS.2010.2049114","article-title":"Ground-Based GPS for Validation of Climate Models: The Impact of Satellite Antenna Phase Center Variations","volume":"48","author":"Jarlemark","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/s10291-010-0163-y","article-title":"Improvement in PWV Estimation from GPS Due to the Absolute Calibration of Antenna Phase Center Variations","volume":"14","author":"Toledano","year":"2010","journal-title":"GPS Solut."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"197","DOI":"10.54302\/mausam.v61i2.801","article-title":"Effect of Broadcast and Precise Satellite Orbits in the Estimation of Zenith Tropospheric Delay and Integrated Precipitable Water Vapour from GPS","volume":"61","author":"Yadav","year":"2010","journal-title":"MAUSAM"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.geog.2018.11.005","article-title":"Monitoring Zenithal Total Delays over the Three Different Climatic Zones from IGS GPS Final Products: A Comparison between the Use of the VMF1 and GMF Mapping Functions","volume":"10","author":"Labib","year":"2019","journal-title":"Geod. Geodyn."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1109\/JSTARS.2012.2191392","article-title":"Trends in the Atmospheric Water Vapor Content From Ground-Based GPS: The Impact of the Elevation Cutoff Angle","volume":"5","author":"Ning","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_33","first-page":"611","article-title":"On the Retrieval of Water Vapour Profiles from a Single GPS Station","volume":"23","author":"Caputo","year":"2000","journal-title":"Nuovo C Della Soc. Ital. Fis. C"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1175\/2008JAMC1916.1","article-title":"Distribution of Tropospheric Water Vapor in Clear and Cloudy Conditions from Microwave Radiometric Profiling","volume":"48","author":"Iassamen","year":"2009","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1002\/cjg2.837","article-title":"Remote Sensing of the Amount of Water Vapor along the Slant Path Using the Ground-Base GPS","volume":"49","author":"Bi","year":"2006","journal-title":"Chin. J. Geophys."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s00703-016-0450-4","article-title":"A Novel, Optimized Approach of Voxel Division for Water Vapor Tomography","volume":"129","author":"Yao","year":"2017","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1109\/LGRS.2018.2853183","article-title":"Hybrid Regularized GPS Tropospheric Sensing Using 3-D Ray Tracing Technique","volume":"15","author":"Amerian","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Yang, F., Guo, J., Shi, J., Zhao, Y., Zhou, L., and Song, S. (2019). A New Method of GPS Water Vapor Tomography for Maximizing the Use of Signal Rays. Appl. Sci., 9.","DOI":"10.3390\/app9071446"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Brenot, H., Rohm, W., Ka\u010dma\u0159\u00edk, M., M\u00f6ller, G., S\u00e1, A., Tonda\u015b, D., Rapant, L., Biondi, R., Manning, T., and Champollion, C. (2019). Cross-Comparison and Methodological Improvement in GPS Tomography. Remote Sens., 12.","DOI":"10.3390\/rs12010030"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"6155","DOI":"10.1109\/JSTARS.2020.3027909","article-title":"Analyzing Different Parameterization Methods in GNSS Tomography Using the COST Benchmark Dataset","volume":"13","author":"Adavi","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Zhang, W., Zhang, S., Ding, N., and Zhao, Q. (2020). A Tropospheric Tomography Method with a Novel Height Factor Model Including Two Parts: Isotropic and Anisotropic Height Factors. Remote Sens., 12.","DOI":"10.3390\/rs12111848"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Dong, Z., and Jin, S. (2018). 3-D Water Vapor Tomography in Wuhan from GPS, BDS and GLONASS Observations. Remote Sens., 10.","DOI":"10.3390\/rs10010062"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Haji-Aghajany, S., Amerian, Y., and Verhagen, S. (2020). B-Spline Function-Based Approach for GPS Tropospheric Tomography. GPS Solut., 24.","DOI":"10.1007\/s10291-020-01005-x"},{"key":"ref_44","first-page":"191","article-title":"An Improved Tropospheric Tomography Method Based on the Dynamic Node Parametrized Algorithm","volume":"17","author":"Zhang","year":"2020","journal-title":"Acta Geodyn. Geomater."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1175\/1520-0426(2003)020<0023:COOHPW>2.0.CO;2","article-title":"Continuous Observations of Humidity Profiles with the MU Radar-RASS Combined with GPS and Radiosonde Measurements","volume":"20","author":"Furumoto","year":"2003","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2393","DOI":"10.1080\/01431160701436825","article-title":"High Resolution Spatio-temporal Water Vapour Mapping Using GPS and MERIS Observations","volume":"29","author":"Lindenbergh","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Leontiev, A., and Reuveni, Y. (2018). Augmenting GPS IWV Estimations Using Spatio-Temporal Cloud Distribution Extracted from Satellite Data. Sci. Rep., 8.","DOI":"10.1038\/s41598-018-33163-x"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"4747","DOI":"10.5194\/hess-19-4747-2015","article-title":"Water Vapor Mapping by Fusing InSAR and GNSS Remote Sensing Data and Atmospheric Simulations","volume":"19","author":"Alshawaf","year":"2015","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Zhao, Q., Du, Z., Yao, W., and Yao, Y. (2020). Hybrid Precipitable Water Vapor Fusion Model in China. J. Atmos. Sol. Terr. Phys., 208.","DOI":"10.1016\/j.jastp.2020.105387"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"830","DOI":"10.1175\/1520-0450(1996)035<0830:GMDEOT>2.0.CO;2","article-title":"GPS Meteorology: Direct Estimation of the Absolute Value of Precipitable Water","volume":"35","author":"Duan","year":"1996","journal-title":"J. Appl. Meteorol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"4573","DOI":"10.1029\/1999JD901007","article-title":"A Comparison of Global Positioning System Retrieved Precipitable Water Vapor with the Numerical Weather Prediction Analysis Data over the Japanese Islands","volume":"105","author":"Iwabuchi","year":"2000","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2436","DOI":"10.1109\/36.964980","article-title":"Atmospheric Water Vapor Retrieval by Means of Both a GPS Network and a Microwave Radiometer during an Experimental Campaign in Cagliari, Italy, in 1999","volume":"39","author":"Basili","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1175\/1520-0426(2003)20<606:COLOSW>2.0.CO;2","article-title":"Comparisons of Line-of-Sight Water Vapor Observations Using the Global Positioning System and a Pointing Microwave Radiometer","volume":"20","author":"Braun","year":"2003","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1109\/TGRS.2004.841488","article-title":"Comparison of MM5 Integrated Water Vapor with Microwave Radiometer, GPS, and Radiosonde Measurements","volume":"43","author":"Memmo","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_55","first-page":"131","article-title":"Validation of GPS-Based Estimates of Integrated Water Vapour for the Australian Region and Identification of Diurnal Variability","volume":"55","author":"Glowacki","year":"2006","journal-title":"Aust. Meteorol. Mag."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s13143-010-1012-1","article-title":"Comparison of Atmospheric Water Vapor Profiles Obtained by GPS, MWR, and Radiosonde","volume":"46","author":"Ha","year":"2010","journal-title":"Asia-Pac. J. Atmos. Sci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2410","DOI":"10.1016\/j.jastp.2011.08.014","article-title":"GPS Meteorology in a Low-Latitude Region: Remote Sensing of Atmospheric Water Vapor over the Malaysian Peninsula","volume":"73","author":"Musa","year":"2011","journal-title":"J. Atmos. Sol. Terr. Phys."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Thomas, I.D., King, M.A., Clarke, P.J., and Penna, N.T. (2011). Precipitable Water Vapor Estimates from Homogeneously Reprocessed GPS Data: An Intertechnique Comparison in Antarctica. J. Geophys. Res., 116.","DOI":"10.1029\/2010JD013889"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1639","DOI":"10.1016\/j.scitotenv.2018.08.192","article-title":"Comparison of Integrated Water Vapor from GNSS and Radiosounding at Four GRUAN Stations","volume":"648","author":"Cachorro","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1175\/JAM2255.1","article-title":"An Integrated Assessment of Measured and Modeled Integrated Water Vapor in Switzerland for the Period 2001-03","volume":"44","author":"Guerova","year":"2005","journal-title":"J. Appl. Meteorol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"4463","DOI":"10.5194\/amt-7-4463-2014","article-title":"Reference Quality Upper-Air Measurements: GRUAN Data Processing for the Vaisala RS92 Radiosonde","volume":"7","author":"Dirksen","year":"2014","journal-title":"Atmos. Meas. Tech."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"323","DOI":"10.5194\/amt-3-323-2010","article-title":"Continuous Quality Assessment of Atmospheric Water Vapour Measurement Techniques: FTIR, Cimel, MFRSR, GPS, and Vaisala RS92","volume":"3","author":"Schneider","year":"2010","journal-title":"Atmos. Meas. Tech."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"2011","DOI":"10.1002\/qj.185","article-title":"Comparison of Ground-Based GPS Precipitable Water Vapour to Independent Observations and NWP Model Reanalyses over Africa: PRECIPITABLE WATER VAPOUR DATA OVER AFRICA","volume":"133","author":"Bock","year":"2007","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Zhang, F., Barriot, J.P., Xu, G., and Yeh, T.K. (2018). Metrology Assessment of the Accuracy of Precipitable Water Vapor Estimates from GPS Data Acquisition in Tropical Areas: The Tahiti Case. Remote Sens., 10.","DOI":"10.3390\/rs10050758"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"10925","DOI":"10.5194\/acp-12-10925-2012","article-title":"A Multi-Instrument Comparison of Integrated Water Vapour Measurements at a High Latitude Site","volume":"12","author":"Buehler","year":"2012","journal-title":"Atmos. Chem. Phys."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2487","DOI":"10.5194\/amt-7-2487-2014","article-title":"A Multi-Site Intercomparison of Integrated Water Vapour Observations for Climate Change Analysis","volume":"7","author":"Brenot","year":"2014","journal-title":"Atmos. Meas. Tech."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1175\/1520-0426(2000)017<0773:TUOGTV>2.0.CO;2","article-title":"The Use of GPS to Validate NWP Systems: The HIRLAM Model","volume":"17","author":"Cucurull","year":"2000","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1175\/1520-0450(2001)040<1105:VOIWVF>2.0.CO;2","article-title":"Validation of Integrated Water Vapor from Numerical Models Using Ground-Based GPS, SSM\/I, and Water Vapor Radiometer Measurements","volume":"40","year":"2001","journal-title":"J. Appl. Meteorol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.1175\/2009JCLI2787.1","article-title":"Validation of Precipitable Water Vapor within the NCEP\/DOE Reanalysis Using Global GPS Observations from One Decade","volume":"23","author":"Vey","year":"2010","journal-title":"J. Clim."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1175\/1520-0450(1999)038<0941:ACOPWV>2.0.CO;2","article-title":"A Comparison of Precipitable Water Vapor Estimates by an NWP Simulation and GPS Observations","volume":"38","author":"Yang","year":"1999","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"9","DOI":"10.3178\/hrl.14.9","article-title":"Comparison of Precipitable Water via JRA-55 and GPS in Japan Considering Different Elevations","volume":"14","author":"Matsuyama","year":"2020","journal-title":"Hydrol. Res. Lett."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1175\/2009WAF2222239.1","article-title":"Verification of NWP Model Analyses and Radiosonde Humidity Data with GPS Precipitable Water Vapor Estimates during AMMA","volume":"24","author":"Bock","year":"2009","journal-title":"Weather Forecast."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"9453","DOI":"10.5194\/acp-19-9453-2019","article-title":"Consistency and Representativeness of Integrated Water Vapour from Ground-Based GPS Observations and ERA-Interim Reanalysis","volume":"19","author":"Bock","year":"2019","journal-title":"Atmos. Chem. Phys."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Bengtsson, L. (2004). Can Climate Trends Be Calculated from Reanalysis Data?. J. Geophys. Res., 109.","DOI":"10.1029\/2004JD004536"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"16213","DOI":"10.5194\/acp-18-16213-2018","article-title":"Global IWV Trends and Variability in Atmospheric Reanalyses and GPS Observations","volume":"18","author":"Parracho","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1175\/2007JTECHA889.1","article-title":"The Validation of AIRS Retrievals of Integrated Precipitable Water Vapor Using Measurements from a Network of Ground-Based GPS Receivers over the Contiguous United States","volume":"25","author":"Raja","year":"2008","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1935","DOI":"10.1002\/qj.2080","article-title":"The Evaluation of the Integrated Water Vapour Annual Cycle over the Iberian Peninsula from EOS-MODIS against Different Ground-Based Techniques","volume":"139","author":"Bennouna","year":"2013","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.scitotenv.2015.06.124","article-title":"Comparison of Total Water Vapor Column from GOME-2 on MetOp-A against Ground-Based GPS Measurements at the Iberian Peninsula","volume":"533","author":"Cachorro","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"12,261","DOI":"10.1002\/2016GL071200","article-title":"High-Accuracy Measurements of Total Column Water Vapor from the Orbiting Carbon Observatory-2: Total column water vapor from OCO-2","volume":"43","author":"Nelson","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.jastp.2015.11.019","article-title":"Validation of Water Vapor Retrieval from Moderate Resolution Imaging Spectro-Radiometer (MODIS) in near Infrared Channels Using GPS Data over IAO-Hanle, in the Trans-Himalayan Region","volume":"137","author":"Ningombam","year":"2016","journal-title":"J. Atmos. Sol. Terr. Phys."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"11379","DOI":"10.5194\/acp-16-11379-2016","article-title":"Validation and Update of OMI Total Column Water Vapor Product","volume":"16","author":"Wang","year":"2016","journal-title":"Atmos. Chem. Phys."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1016\/j.scitotenv.2016.12.032","article-title":"Validation of Integrated Water Vapor from OMI Satellite Instrument against Reference GPS Data at the Iberian Peninsula","volume":"580","author":"Cachorro","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_83","first-page":"214","article-title":"Validation of MODIS Integrated Water Vapor Product against Reference GPS Data at the Iberian Peninsula","volume":"63","author":"Cachorro","year":"2017","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1016\/j.rse.2017.09.028","article-title":"Inter-Comparison of Integrated Water Vapor from Satellite Instruments Using Reference GPS Data at the Iberian Peninsula","volume":"204","author":"Cachorro","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2019\/6078591","article-title":"Analysis on Precipitable Water Vapor over the Tibetan Plateau Using FengYun-3A Medium Resolution Spectral Imager Products","volume":"2019","author":"Gong","year":"2019","journal-title":"J. Sens."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"10252","DOI":"10.1109\/TGRS.2019.2932847","article-title":"Comparison of Satellite-Derived Precipitable Water Vapor Through Near-Infrared Remote Sensing Channels","volume":"57","author":"He","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"5183","DOI":"10.5194\/amt-12-5183-2019","article-title":"Ozone Monitoring Instrument (OMI) Total Column Water Vapor Version 4 Validation and Applications","volume":"12","author":"Wang","year":"2019","journal-title":"Atmos. Meas. Tech."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Carbajal Henken, C., Dirks, L., Steinke, S., Diedrich, H., August, T., and Crewell, S. (2020). Assessment of Sampling Effects on Various Satellite-Derived Integrated Water Vapor Datasets Using GPS Measurements in Germany as Reference. Remote Sens., 12.","DOI":"10.3390\/rs12071170"},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Vaquero-Mart\u00ednez, J., Ant\u00f3n, M., Rom\u00e1n, R., Cachorro, V.E., Wang, H., Gonz\u00e1lez Abad, G., and Ritter, C. (2020). Water Vapor Satellite Products in the European Arctic: An Inter-Comparison against GNSS Data. Sci. Total Environ., 741.","DOI":"10.1016\/j.scitotenv.2020.140335"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"2949","DOI":"10.5194\/amt-11-2949-2018","article-title":"Comparison of Total Water Vapour Content in the Arctic Derived from GNSS, AIRS, MODIS and SCIAMACHY","volume":"11","author":"Alraddawi","year":"2018","journal-title":"Atmos. Meas. Tech."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"3008","DOI":"10.1175\/2008JAMC1920.1","article-title":"Integrated Water Vapor Field and Multiscale Variations over China from GPS Measurements","volume":"47","author":"Jin","year":"2008","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_92","first-page":"1","article-title":"The Diurnal Variations of GPS PWV near Poyang Lake in China during Midsummer","volume":"2020","author":"Wu","year":"2020","journal-title":"Adv. Meteorol."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"175","DOI":"10.2151\/jmsj1965.78.2_175","article-title":"Diurnal Variation of GPS Precipitable Water at Lhasa in Premonsoon and Monsoon Periods","volume":"78","author":"Takagi","year":"2000","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.2151\/jmsj.79.1077","article-title":"Observational Study on the Diurnal Variation in Precipitable Water Associated with the Thermally Induced Local Circulation over the \u201cSemi-Basin\u201d around Maebashi Using GPS Data","volume":"79","author":"Iwasaki","year":"2001","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s00704-006-0293-x","article-title":"A Composite Analysis of Diurnal Cycle of GPS Precipitable Water Vapor in Central Japan during Calm Summer Days","volume":"92","author":"Li","year":"2008","journal-title":"Theor. Appl. Climatol."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1175\/1520-0450(2003)042<1107:DVOPWO>2.0.CO;2","article-title":"Diurnal Variation of Precipitable Water over a Mountainous Area of Sumatra Island","volume":"42","author":"Wu","year":"2003","journal-title":"J. Appl. Meteorol."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"3529","DOI":"10.1175\/JAS-D-19-0094.1","article-title":"On the Diurnal Cycle of GPS-Derived Precipitable Water Vapor over Sumatra","volume":"76","author":"Torri","year":"2019","journal-title":"J. Atmos. Sci."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"231","DOI":"10.5140\/JASS.2010.27.3.231","article-title":"Trend Analysis of GPS Precipitable Water Vapor Above South Korea Over the Last 10 Years","volume":"27","author":"Sohn","year":"2010","journal-title":"J. Astron. Space Sci."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"ACL 11-1","DOI":"10.1029\/2001JD000642","article-title":"Diurnal Variation in Water Vapor over North America and Its Implications for Sampling Errors in Radiosonde Humidity: Water vapor Diurnal variation over north america","volume":"107","author":"Dai","year":"2002","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/S1474-7065(02)00009-8","article-title":"Climate Monitoring Using GPS","volume":"27","author":"Gradinarsky","year":"2002","journal-title":"Phys. Chem. Earth Parts A\/B\/C"},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"211","DOI":"10.2113\/gssajg.110.2-3.211","article-title":"On the Importance of Proper Noise Modelling for Long-Term Precipitable Water Vapour Trend Estimations","volume":"110","author":"Combrink","year":"2007","journal-title":"S. Afr. J. Geol."},{"key":"ref_102","first-page":"45","article-title":"Diurnal Variability of Precipitable Water in the Baltic Region, Impact on Transmittance of the Direct Solar Radiation","volume":"14","author":"Jakobson","year":"2009","journal-title":"Boreal Environ. Res."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.pce.2008.07.010","article-title":"Analysis of GPS-Sensed Atmospheric Water Vapour Variability and Its Response to the Terrestrial Winds over Antarctica","volume":"34","author":"Suparta","year":"2009","journal-title":"Phys. Chem. Earth Parts A\/B\/C"},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1002\/qj.811","article-title":"Diurnal Cycle of Precipitable Water Vapor over Spain","volume":"137","author":"Cachorro","year":"2011","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"7257","DOI":"10.1007\/s12517-014-1716-0","article-title":"A Hybrid LS-HE and LS-SVM Model to Predict Time Series of Precipitable Water Vapor Derived from GPS Measurements","volume":"8","author":"Sharifi","year":"2015","journal-title":"Arab. J. Geosci."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"3117","DOI":"10.5194\/amt-10-3117-2017","article-title":"Estimating Trends in Atmospheric Water Vapor and Temperature Time Series over Germany","volume":"10","author":"Alshawaf","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1080\/01431161.2016.1266110","article-title":"Inter Annual, Spatial, Seasonal, and Diurnal Variability of Precipitable Water Vapour over Northeast India Using GPS Time Series","volume":"38","author":"Barman","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Hadad, D., Baray, J.L., Montoux, N., Van Baelen, J., Fr\u00e9ville, P., Pichon, J.M., Bosser, P., Ramonet, M., Yver Kwok, C., and B\u00e8gue, N. (2018). Surface and Tropospheric Water Vapor Variability and Decadal Trends at Two Supersites of CO-PDD (C\u00e9zeaux and Puy de D\u00f4me) in Central France. Atmosphere, 9.","DOI":"10.3390\/atmos9080302"},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1080\/01431161.2018.1492177","article-title":"Studies of Precipitable Water Vapour Characteristics on a Global Scale","volume":"40","author":"Zhao","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"11223","DOI":"10.5194\/acp-20-11223-2020","article-title":"Trends of Atmospheric Water Vapour in Switzerland from Ground-Based Radiometry, FTIR and GNSS Data","volume":"20","author":"Bernet","year":"2020","journal-title":"Atmos. Chem. Phys."},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Bousquet, O., Lees, E., Durand, J., Peltier, A., Duret, A., Mekies, D., Boissier, P., Donal, T., Fleischer-Dogley, F., and Zakariasy, L. (2020). Densification of the Ground-Based GNSS Observation Network in the Southwest Indian Ocean: Current Status, Perspectives, and Examples of Applications in Meteorology and Geodesy. Front. Earth Sci., 8.","DOI":"10.3389\/feart.2020.566105"},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Lees, E., Bousquet, O., Roy, D., and de Bellevue, J.L. (2020). Analysis of Diurnal to Seasonal Variability of Integrated Water Vapour in the South Indian Ocean Basin Using Ground-based GNSS and Fifth-generation ECMWF Reanalysis (ERA5) Data. Q. J. R. Meteorol. Soc.","DOI":"10.1002\/qj.3915"},{"key":"ref_113","doi-asserted-by":"crossref","unstructured":"Trakolkul, C., and Satirapod, C. (2020). Variations of Precipitable Water Vapor Using GNSS CORS in Thailand. Surv. Rev., 1\u20137.","DOI":"10.1080\/00396265.2020.1713611"},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1002\/qj.2146","article-title":"Analysis of the Annual Cycle of the Precipitable Water Vapour over Spain from 10-Year Homogenized Series of GPS Data: Annual Cycle of the Precipitable Water Vapour over Spain","volume":"140","author":"Bennouna","year":"2014","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2009JD012724","article-title":"Precipitable Water Vapor Characterization in the Gulf of Cadiz Region (Southwestern Spain) Based on Sun Photometer, GPS, and Radiosonde Data","volume":"115","author":"Torres","year":"2010","journal-title":"J. Geophys. Res."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1002\/2016JD025753","article-title":"Generation of Real-time Mode High-resolution Water Vapor Fields from GPS Observations","volume":"122","author":"Yu","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/s00704-013-0923-z","article-title":"Ground-Based GPS Measurements: Time Behavior from Half-Hour to Years","volume":"115","author":"Bordi","year":"2014","journal-title":"Theor. Appl. Climatol."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"1918","DOI":"10.1109\/TGRS.2008.2010401","article-title":"Variability and Climatology of PWV From Global 13-Year GPS Observations","volume":"47","author":"Jin","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"11442","DOI":"10.1002\/2016JD024917","article-title":"Global Water Vapor Variability and Trend from the Latest 36 Year (1979 to 2014) Data of ECMWF and NCEP Reanalyses, Radiosonde, GPS, and Microwave Satellite: Global water vapor variability and trend","volume":"121","author":"Chen","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"5205","DOI":"10.1175\/JCLI-D-15-0485.1","article-title":"Global Water Vapor Trend from 1988 to 2011 and Its Diurnal Asymmetry Based on GPS, Radiosonde, and Microwave Satellite Measurements","volume":"29","author":"Wang","year":"2016","journal-title":"J. Clim."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1007\/PL00012860","article-title":"The Role of Ground-Based GPS Meteorological Observations in Numerical Weather Prediction","volume":"4","author":"Gutman","year":"2001","journal-title":"GPS Solut."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.pce.2004.01.009","article-title":"Assimilation of the GPS-Derived Integrated Water Vapour (IWV) in the MeteoSwiss Numerical Weather Prediction Model\u2014A First Experiment","volume":"29","author":"Guerova","year":"2004","journal-title":"Phys. Chem. Earth Parts A\/B\/C"},{"key":"ref_123","first-page":"332","article-title":"Preliminary Study on the Application of GPS Observations to a Mesoscale Numerical Model","volume":"19","author":"Yuan","year":"2005","journal-title":"Acta Meteorol. Sin."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"361","DOI":"10.2151\/jmsj.2004.361","article-title":"Near Real Time GPS Water Vapor Monitoring for Numerical Weather Prediction in Germany","volume":"82","author":"Gendt","year":"2004","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_125","first-page":"389","article-title":"Numerical Assessing Experiments on the Individual Component Impact of the Meteorological Observation Network on the \u201cJuly 2000\u201d Torrential Rain in Beijing","volume":"20","author":"Zhang","year":"2006","journal-title":"Acta Meteorol. Sin."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"2635","DOI":"10.1175\/1520-0493(2003)131<2635:VAOSWD>2.0.CO;2","article-title":"Variational Assimilation of Slant-Path Wet Delay Measurements from a Hypothetical Ground-Based GPS Network. Part I: Comparison with Precipitable Water Assimilation","volume":"131","author":"Ha","year":"2003","journal-title":"Mon. Weather Rev."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1175\/MWR3105.1","article-title":"Retrieval of Moisture from Slant-Path Water Vapor Observations of a Hypothetical GPS Network Using a Three-Dimensional Variational Scheme with Anisotropic Background Error","volume":"134","author":"Liu","year":"2006","journal-title":"Mon. Weather Rev."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1016\/j.asr.2010.10.028","article-title":"Near Real-Time Estimation of Tropospheric Water Vapour Content from Ground Based GNSS Data and Its Potential Contribution to Weather Now-Casting in Austria","volume":"47","author":"Weber","year":"2011","journal-title":"Adv. Space Res."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1007\/s00704-016-1894-7","article-title":"Impact of Single-Point GPS Integrated Water Vapor Estimates on Short-Range WRF Model Forecasts over Southern India","volume":"130","author":"Kumar","year":"2017","journal-title":"Theor. Appl. Climatol."},{"key":"ref_130","doi-asserted-by":"crossref","unstructured":"Mascitelli, A., Federico, S., Fortunato, M., Avolio, E., Torcasio, R.C., Realini, E., Mazzoni, A., Transerici, C., Crespi, M., and Dietrich, S. (2019). Data Assimilation of GPS-ZTD into the RAMS Model through 3D-Var: Preliminary Results at the Regional Scale. Meas. Sci. Technol., 30.","DOI":"10.1088\/1361-6501\/ab0b87"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1127\/0941-2948\/2012\/0347","article-title":"An Observational Study of Air and Water Vapour Convergence over the Bernese Alps, Switzerland, during Summertime and the Development of Isolated Thunderstorms","volume":"21","author":"Graham","year":"2012","journal-title":"Meteorol. Z."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1175\/MWR-D-12-00277.1","article-title":"Kinematic and Thermodynamic Structures of Sierra Barrier Jets and Overrunning Atmospheric Rivers during a Landfalling Winter Storm in Northern California","volume":"141","author":"Kingsmill","year":"2013","journal-title":"Mon. Weather Rev."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"4211","DOI":"10.1175\/MWR-D-13-00112.1","article-title":"Sierra Barrier Jets, Atmospheric Rivers, and Precipitation Characteristics in Northern California: A Composite Perspective Based on a Network of Wind Profilers","volume":"141","author":"Neiman","year":"2013","journal-title":"Mon. Weather Rev."},{"key":"ref_134","doi-asserted-by":"crossref","unstructured":"Suparta, W. (2018). Observations of Precipitable Water Vapor along the Maritime Continent Associated with El Ni\u00f1o-Southern Oscillation Activity. Ann. Geophys., 61.","DOI":"10.4401\/ag-7600"},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.atmosres.2018.02.001","article-title":"Water Vapor Radiative Effects on Short-Wave Radiation in Spain","volume":"205","author":"Cachorro","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_136","doi-asserted-by":"crossref","unstructured":"Vaquero-Mart\u00ednez, J., Ant\u00f3n, M., Sanchez-Lorenzo, A., and Cachorro, V.E. (2020). Evaluation of Water Vapor Radiative Effects Using GPS Data Series over Southwestern Europe. Remote Sens., 12.","DOI":"10.3390\/rs12081307"},{"key":"ref_137","doi-asserted-by":"crossref","unstructured":"Perrefort, D., Wood-Vasey, W.M., Bostroem, K.A., Gilmore, K., Joyce, R., Matheson, T., and Corson, C. (2019). Pwv_kpno: A Python Package for Modeling the Atmospheric Transmission Function Due to Precipitable Water Vapor. Publ. Astron. Soc. Pac., 131.","DOI":"10.1088\/1538-3873\/aaecb7"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/12\/2287\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:13:11Z","timestamp":1760163191000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/12\/2287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,11]]},"references-count":137,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["rs13122287"],"URL":"https:\/\/doi.org\/10.3390\/rs13122287","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,11]]}}}