D. K. Adams and A. C. Comrie, The North American Monsoon, B. Am. Meteorol. Soc, vol.78, pp.2197-2214, 1997.

B. Adler, N. Kalthoff, M. Kohler, J. Handwerker, A. Wieser et al., The variability of water vapour and pre-convective conditions over the mountainous island of Corsica, Q. J. Roy. Meteor. Soc, vol.142, pp.335-346, 2016.

S. Bastin, C. Champollion, O. Bock, P. Drobinski, and F. Masson, Diurnal cycle of water vapor as documented by a dense GPS network in a coastal area during ESCOMPTE-IOP2, J. Appl. Meteorol. Clim, vol.46, pp.167-182, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00273624

S. Bastin, P. Drobinski, M. Chiriaco, O. Bock, R. Roehrig et al., Impact of humidity biases on light precipitation occurrence: observations versus simulations, Atmos, Chem. Phys, vol.19, pp.1471-1490, 2019.

O. Bock, GPS data: Daily and monthly reprocessed IWV data from 120 global GPS stations, 2016.

O. Bock and M. Nuret, Verification of NWP model analyses and radiosonde humidity data with GPS precipitable water vapor estimates during AMMA, Weather Forecast, vol.24, pp.1085-1101, 2009.

O. Bock, C. Keil, E. Richard, C. Flamant, and M. N. Bouin, Validation of precipitable water from ECMWF model analyses with GPS and radiosonde data during the MAP SOP, Q. J. Roy. Meteor. Soc, vol.131, pp.3013-3036, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00080850

O. Bock, M. N. Bouin, E. Doerflinger, P. Collard, F. Masson et al., The West African Monsoon observed with ground-based GPS receivers during AMMA, J. Geophys. Res, vol.113, p.21105, 2008.

O. Bock, P. Willis, J. Wang, and C. Mears, A highquality, homogenized, global, long-term (1993-2008) DORIS precipitable water data set for climate monitoring and model verification, J. Geophys. Res.-Atmos, vol.119, pp.7209-7230, 2014.

O. Bock, P. Bosser, R. Pacione, M. Nuret, N. Fourrié et al., A high-quality reprocessed ground-based GPS dataset for atmospheric process studies, radiosonde and model evaluation, and reanalysis of HyMeX Special Observing Period, Q. J. Roy. Meteor. Soc, vol.142, pp.56-71, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01164607

J. Boehm, P. J. Mendes-cerveira, H. Schuh, P. Tregoning, P. Tregoning et al., The impact of mapping functions for the neutral atmosphere based on numerical weather models in GPS data analysis, International Association of Geodesy Symposia, vol.130, 2007.

T. J. Bracegirdle and G. J. Marshall, The Reliability of Antarctic Tropospheric Pressure and Temperature in the Latest Global Reanalyses, J. Climate, vol.25, pp.7138-7146, 2012.

S. A. Buehler, S. Östman, C. Melsheimer, G. Holl, S. Eliasson et al., A multiinstrument comparison of integrated water vapour measurements at a high latitude site, Atmos. Chem. Phys, vol.12, pp.10925-10943, 2012.

S. H. Byun and Y. E. Bar-server, A new type of troposphere zenith path delay product of the international GNSS service, J. Geodesy, vol.83, pp.367-373, 2009.

E. Chang, S. Lee, and K. Swanson, Storm Track Dynamics, J. Climate, vol.15, pp.2163-2183, 2002.

B. Chen and Z. Liu, 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, J. Geophys. Res.-Atmos, vol.121, pp.11442-11462, 2016.

D. P. Dee, S. M. Uppala, A. J. Simmons, P. Berrisford, P. Poli et al., The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc, vol.137, pp.553-597, 2011.

S. Hagemann, L. Bengtsson, and G. Gendt, On the determination of atmospheric water vapor from GPS measurements, J. Geophys. Res, vol.108, 2003.

S. Heise, G. Dick, G. Gendt, T. Schmidt, and J. Wickert, Integrated water vapor from IGS ground-based GPS observations: initial results from a global 5-min data set, Ann. Geophys, vol.27, pp.2851-2859, 2009.

T. Janji? and S. E. Cohn, Treatment of Observation Error due to Unresolved Scales in Atmospheric Data Assimilation, Mon. Weather Rev, vol.134, pp.2900-2915, 2006.

S. Khodayar, B. Czajka, A. Caldas-alvarez, S. Helgert, C. Flamant et al., Multi-scale Observations of Moisture Feeding Heavy Precipitating Systems in the North-western Mediterranean during HyMeX IOP12, Q. J. Roy. Meteor. Soc, vol.144, pp.2761-2780, 2018.

A. Koulali-idrissi, D. Ouazar, O. Bock, and A. Fadil, Study of seasonal-scale atmospheric water cycle with ground-based GPS receivers, radiosondes and NWP models over Morocco, Atmos. Res, pp.273-291, 2012.

Y. Liou, Y. Teng, T. Van-hove, and J. C. Liljegren, Comparison of Precipitable Water Observations in the Near Tropics by GPS, Microwave Radiometer, and Radiosondes, J. Appl. Meteor, vol.40, pp.5-15, 2001.

A. C. Lorenc, Analysis methods for numerical weather prediction, Q. J. Roy. Meteor. Soc, vol.112, pp.1177-1194, 1986.

J. D. Means, GPS Precipitable Water as a Diagnostic of the North American Monsoon in California and Nevada, J. Climate, vol.26, pp.1432-1444, 2013.

R. Meynadier, O. Bock, S. Gervois, F. Guichard, J. Redelsperger et al., West African Monsoon water cycle: 2. Assessment of numerical weather prediction water budgets, J. Geophys. Res, vol.115, p.19107, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00522606

T. Nilsson and G. Elgered, Long-term trends in the atmospheric water vapor content estimated from groundbased GPS data, J. Geophys. Res, vol.113, p.19101, 2008.

T. Ning, G. Elgered, U. Willén, and J. M. Johansson, Evaluation of the atmospheric water vapor content in a regional climate model using ground-based GPS measurements, J. Geophys. Res.-Atmos, vol.118, pp.329-339, 2013.

T. Ning, J. Wickert, Z. Deng, S. Heise, G. Dick et al., Homogenized time series of the atmospheric water vapour content obtained from the GPS reprocessed data, J. Climate, vol.29, pp.2443-2456, 2016.

A. C. Parracho, A. C. Parracho, O. Bock, and S. Bastin, Study of trends and variability of atmospheric water vapour with climate models and observations from global GPS network, Global IWV trends and variability in atmospheric reanalyses and GPS observations, vol.18, pp.16213-16237, 2017.

S. Pfahl, E. Madonna, M. Boettcher, H. Joos, and H. Wernli, Warm Conveyor Belts in the ERA-Interim Dataset, 1979.

I. I. Part, Moisture Origin and Relevance for Precipitation, J. Climate, vol.27, pp.27-40, 2014.

A. Quarello, O. Bock, and E. Lebarbier, A segmentation method for the homogenization of GNSS-derived IWV time series, p.50

J. A. Roman, R. O. Knuteson, S. A. Ackerman, D. C. Tobin, and H. E. Revercomb, Assessment of Regional Global Climate Model Water Vapor Bias and Trends Using Precipitable Water Vapor (PWV) Observations from a Network of Global Positioning Satellite (GPS) Receivers in the U.S. Great Plains and Midwest, J. Climate, vol.25, pp.5471-5493, 2012.

M. Schröder, M. Lockhoff, J. M. Forsythe, H. Q. Cronk, T. H. Vonder-haar et al., The GEWEX Water Vapour Assessment: Results from Intercomparison, Trend, and Homogeneity Analysis of Total Column Water Vapour, J. Appl. Meteorol. Clim, vol.55, pp.1633-1649, 2016.

K. E. Trenberth and J. T. Fasullo, Regional Energy and Water Cycles: Transports from Ocean to Land, J. Climate, vol.26, pp.7837-7851, 2013.

K. E. Trenberth, J. Fasullo, L. Smith, K. E. Trenberth, J. T. Fasullo et al., Atmospheric Moisture Transports from Ocean to Land and Global Energy Flows in Reanalyses, Clim. Dynam, vol.24, pp.4907-4924, 2005.

R. Van-malderen, E. Pottiaux, A. Klos, O. Bock, J. Bogusz et al., The homogenization of GPS Integrated Water Vapour time series: methodology and benchmarking the algorithms on synthetic datasets, Homogenization and Interpolation Conference, pp.3-7, 2017.

S. Vey, R. Dietrich, M. Fritsche, A. Rülke, P. Steigenberger et al., On the homogeneity and interpretation of precipitable water time series derived from global GPS observations, J. Geophys. Res.-Atmos, vol.114, p.10101, 2009.

J. A. Waller, S. L. Dance, A. S. Lawless, N. K. Nichols, and J. R. Eyre, Representativity error for temperature and humidity using the Met Office high resolution model, Q. J. Roy. Meteor. Soc, vol.140, pp.1189-1197, 2014.

J. Wang, A. Dai, and C. Mears, Global Water Vapour Trend from 1988 to 2011 and Its Diurnal Asymmetry Based on GPS, Radiosonde, and Microwave Satellite Measurements, J. Climate, vol.29, pp.5205-5222, 2016.

A. Xie, S. Wang, C. Xiao, S. Kang, J. Gong et al., Can Temperature Extremes in East Antarctica be Replicated from ERA Interim Reanalysis?, Arct. Antarct. Alp. Res, vol.48, pp.603-621, 2016.