Referenced literature

Andersson, A.; Fennig, K.; Klepp, C.; Bakan, S.; Graßl, H.; Schulz, J., 2010: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data—HOAPS-3. Earth Syst. Sci. Data2, 215–234.

August, T., D. Klaes, P. Schluessel, T. Hultberg, M. Crapeau, A. Arriage, A. O’Carroll, D. Coppens, R. Munro, X. Calbet, 2012: IASI on Metop-A: Operational Level 2 retrievals after five years in orbit. J. Quant. Spectrosc. Ra., 113 (11), pp. 1340-1371. DOI: 10.1016/j.jqsrt.2012.02.028.

Beirle, S., Lampel, J., Wang, Y., Mies, K., Dörner, S., Grossi, M., Loyola, D., Dehn, A., Danielczok, A., Schröder, M., and Wagner, T., 2018: The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H2O columns from GOME, SCIAMACHY, and GOME-2, Earth Syst. Sci. Data, 10, 449-468, https://doi.org/10.5194/essd-10-449-2018.

Borbas, E., S. W. Seemann, H.-L. Huang, J. Li, and W. P. Menzel, 2005: Global profile training database for satellite regression retrievals with estimates of skin temperature and emissivity. Proc. of the Int. ATOVS Study Conference-XIV, Beijing, China, 25-31 May 2005, pp. 763-770. Available at: https://cimss.ssec.wisc.edu/itwg/itsc/itsc14/proceedings/B32_Borbas.pdf.

Boukabara, S.-A., and 12 co-authors, 2011: MiRS: An All-Weather 1DVAR Satellite Data Assimilation and Retrieval System,  IEEE Trans. Geosci. Remote Sens., 49 (9), pp. 3249-3272. DOI: 10.1109/TGRS.2011.2158438.

Bouffiès, S.Bréon, F. M.Tanré, D., and Dubuisson, P. , 1997: Atmospheric water vapor estimate by a differential absorption technique with the polarisation and directionality of the Earth reflectances (POLDER) instrumentJ. Geophys. Res.102D3), 3831– 3841, doi:10.1029/96JD03126.

Cadeddu, M. P., J. C. Liljegren, and D. D. Turner, 2013: The Atmospheric radiation measurement (ARM) program network of microwave radiometers: instrumentation, data, and retrievals, Atmos. Meas. Tech., 6, 2359-2372, DOI: 10.5194/amt-6-2359-2013.

Castelli, E., E. Papandrea, A. Di Roma, B. M. Dinelli, A. Casadio, S., and B. Bojkov, 2019: The Advanced Infra-Red WAter Vapour Estimator (AIRWAVE) version 2: algorithm evolution, dataset description and performance improvements, Atmos. Meas. Tech., 12, 371-388. DOI: 10.5194/amt-12-371-2019, 2019.

Courcoux, N. and Schröder, M., 2015: The CM SAF ATOVS data record: overview of methodology and evaluation of total column water and profiles of tropospheric humidity, Earth Syst. Sci. Data, 7, 397-414, https://doi.org/10.5194/essd-7-397-2015.

Chung, E.-S., B. J. Soden, and V. O. John, 2013: Intercalibrating Microwave Satellite Observations for Monitoring Long-Term Variations in Upper- and Midtropospheric Water Vapor. J. Atmos. Oceanic Technol., 30, 2303–2319. DOI: 10.1175/JTECH-D-13-00001.1.

Dai, A., J. Wang, P. W. Thorne, D. E. Parker, L. Haimberger, and X. L. Wang, 2011: A new approach to homogenize daily radiosonde humidity data. J. Climate, 24, 965–991. DOI: 10.1175/2010JCLI3816.1.

Dee, D. P., and 35 co-authors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. R. Meteorol. Soc., 137, 553-597. DOI: 10.1002/qj.828.

Dirksen, R. J., M. Sommer, F. J.  Immler, D. F. Hurst, R. Kivi, and H. Vömel, 2014: Reference quality upper-air measurements: GRUAN data processing for the Vaisala RS92 radiosonde, Atmos. Meas. Tech., 7, 4463-4490, DOI: 10.5194/amt-7-4463-2014.

Durre, I., R. S. Vose, and D. B. Wuertz, 2006: Overview of the Integrated Global Radiosonde Archive. J. Climate, 19, 53–68. DOI: 10.1175/JCLI3594.1.

Gelaro, R.; McCarty, W.; Suárez, M.J.; Todling, R.; Molod, A.; Takacs, L.; Randles, C.A.; Darmenov, A.; Bosilovich, M.G.; Reichle, R., 2017: The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). J. Clim.30, 5419–5454.

Grossi, M., Valks, P., Loyola, D., Aberle, B., Slijkhuis, S., Wagner, T., Beirle, S., and Lang, R., 2015: Total column water vapour measurements from GOME-2 MetOp-A and MetOp-B, Atmos. Meas. Tech., 8, 1111–1133, https://doi.org/10.5194/amt-8-1111-2015.

Hilburn, K. A. and F. J. Wentz, 2008: Intercalibrated Passive Microwave Rain Products From the Unified Microwave Ocean Retrieval Algorithm (UMORA), J. Appl. Meteor. Climatol., 47, 778-794. DOI: 10.1175/2007JAMC1635.1.

Holben, B. N., and 22 co-authors, 2001: An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET, J. Geophys. Res., 106(D11), 12067–12097. DOI: 10.1029/2001JD900014.

Kahn, B. H., et al., 2014: The Atmospheric Infrared Sounder Version 6 Cloud Products, Atmos. Chem. Phys., 14, 399-426. DOI: 10.5194/acp-14-399-2014.

Kobayashi, S., and 11 co-authors, 2015: The JRA-55 Reanalysis: General Specifications and Basic Characteristics. J. Met. Soc. Jap., 93(1), 5-48. DOI: 10.2151/jmsj.2015-001.

Leblanc, T., I. S. McDermid, and T. D. Walsh, 2012: Ground-based water vapor raman lidar measurements up to the upper troposphere and lower stratosphere for long-term monitoring. Atmos. Meas. Tech., 5, 17-36, DOI: 10.5194/amt-5-17-2012.

Lindstrot, R., R. Preusker, H. Diedrich, L. Doppler, R. Bennartz, and J. Fischer, 2012: 1D-Var retrieval of daytime total columnar water vapour from MERIS measurements, Atmos. Meas. Tech., 5, 631–646. DOI: 10.5194/amt-5-631-2012.

Mears, C.; Smith, A.D.; Ricciardulli, K.L.; Wang, J.; Huelsing, H.; Wentz, F.J., 2018: Construction and Uncertainty Estimation of a Satellite-Derived Total Precipitable Water Data Record over the World’s Oceans. Earth Space Sci.5, 197–210.

Nelson, R. R., Crisp, D., Ott, L. E., and O’Dell, C. W., 2016: High accuracy measurements of total column water vapor from the Orbiting Carbon Observatory-2, Geophys. Res. Lett., 43, 12261–12269, https://doi.org/10.1002/2016GL071200.

Noël, S., Buchwitz, M., and Burrows, J. P., 2004: First retrieval of global water vapour column amounts from SCIAMACHY measurements, Atmos. Chem. Phys., 4, 111–125, https://doi.org/10.5194/acp-4-111-2004.

Platnick, S., Hubanks, P., Meyer, K., and King, M. D., 2015: MODIS Atmosphere L3 Monthly Product (08_L3), NASA MODIS Adaptive Processing System, Goddard Space Flight Center, https://doi.org/10.5067/MODIS/MOD08_M3.006 (Terra), https://doi.org/10.5067/MODIS/MYD08_M3.006 (Aqua).

Poli, P., and 15 co-authors, 2013: The data assimilation system and initial performance evaluation of the ECMWF pilot reanalysis of the 20th-century assimilating surface observations only (ERA-20C). ERA Report Series, 14, September 2013, pp 59. Available at: http://old.ecmwf.int/publications/library/ecpublications/_pdf/era/era_report_series/RS_14.pdf.

Poli, P., and 14 co-authors, 2016: ERA-20C: An Atmospheric Reanalysis of the Twentieth Century. J. Climate, 29, 4083–4097. DOI: 10.1175/JCLI-D-15-0556.1.

Rienecker, M. M., and 28 co-authors, 2011: MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications. J. Climate, 24, 3624–3648. DOI: 10.1175/JCLI-D-11-00015.1.

Saha, S., and 51 co-authors, 2010: The NCEP Climate Forecast System Reanalysis. Bull. Amer. Meteor. Soc., 91, 1015–1057. DOI: 10.1175/2010BAMS3001.1.

Schlüssel, P. and Emery, W. J., 1990: Atmospheric water vapour over oceans from SSM/I measurements, Int. J. Remote Sens., 11, 753–766.

Schneider, M., and 25 co-authors, 2012: Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA, Atmos. Meas. Tech., 5, 3007-3027, DOI: 10.5194/amt-5-3007-2012.

Schröder, M., R. Roca, L. Picon, A. Kniffka, and H. Brogniez, 2014: Climatology of free tropospheric humidity: extension into the SEVIRI era, evaluation and exemplary analysis, Atmos. Chem. Phys., 14, 11129-11148. DOI: 10.5194/acp-14-11129-2014.

Scott, N. A., and 8 co-authors, 1999: Characteristics of the TOVS Pathfinder Path-B dataset, Bull. Am. Meteorol. Soc., 80, 2679–2701. DOI: 10.1175/1520-0477(1999)080%3C2679:COTTPP%3E2.0.CO;2.

Seemann, S. W., E. E. Borbas, R. O. Knuteson, G. R. Stephenson, and H.-L. Huang, 2008: Development of a global infrared emissivity database for application to clear sky sounding retrievals from multi-spectral satellite radiances measurements. J. Appl. Meteor. and Clim., 47, 108-123. DOI: 10.1175/2007JAMC1590.1.

Seemann, S. W., J. Li, W. P. Menzel, and L. E. Gumley, 2003: Operational retrieval of atmospheric temperature, moisture, and ozone from MODIS infrared radiances. J. Appl. Meteor., 42, 1072-1091. DOI: 10.1175/1520-0450(2003)042%3C1072:OROATM%3E2.0.CO;2.

Shi, L. and J. Bates, 2005: Using HIRS Observations to Construct Long-Term Global Temperature and Water Vapor Profile Time Series. Proceedings of the ITSC-14, Beijing, China, 25-31 May 2005. Available at: https://cimss.ssec.wisc.edu/itwg/itsc/itsc14/proceedings/4_5_Shi.pdf.

Shi, L. and J. J. Bates, 2011: Three decades of intersatellite-calibrated High-Resolution Infrared Radiation Sounder upper tropospheric water vapor, J. Geophys. Res.-Atmos., 116, D04108, DOI: 10.1029/2010jd014847.

Shi, L., J. Matthews, S.-p. Ho, Q. Yang, and J. Bates, 2016: Algorithm Development of Temperature and Humidity Profile Retrievals for Long-Term HIRS Observations. Remote Sensing, 8, 280. DOI: 10.3390/rs8040280.

Susskind, J., J. M. Blaisdell, and L. Iredell, 2014: Improved methodology for surface and atmospheric soundings, error estimates, and quality control procedures: the atmospheric infrared sounder science team version-6 retrieval algorithm, J. Appl. Rem. Sens., 8(1), 084994. DOI: 10.1117/1.JRS.8.084994.

Susskind, J., P. Piraino, L. Rokke, L. Iredell, and A. Mehta, 1997: Characteristics of the TOVS Pathfinder Path A data set, Bull. Am. Meteorol. Soc., 78(7), 1449-1472. DOI: 10.1175/1520-0477(1997)078<1449:COTTPP>2.0.CO;2.

Takeuchi, Y., Tauchi, T., Saito, S., Imaoka, K., Kachi, M., and Shibata, A., 2004: A total column precipitable water algorithm for ADEOS-II/AMSR and Aqua/AMSR-E, Ital. J. Remote Sens., 30–31, 143–157.

Vonder Haar, T. H., J. L. Bytheway, and J. M. Forsythe, 2012: Weather and climate analyses using improved global water vapor observations, Geophys. Res. Lett., 39, L15802, DOI: 10.1029/2012GL052094.

Wang, J., L. Zhang, A. Dai, T. Van Hove, and J. Van Baelen, 2007: A near-global, 2-hourly data set of atmospheric precipitable water from ground-based GPS measurements, J. Geophys. Res., 112, D11107, DOI: 10.1029/2006JD007529.

Wang, H., G. G. Abad, X. Liu, and K. Chance, 2016: Validation and update of OMI Total Column Water Vapor product. Atmos. Chem. Phys., 16, 11379–11393. DOI: 10.5194/acp-16-11379-2016.

Wee, T.-K. and Kuo, Y.-H., 2015: A perspective on the fundamental quality of GPS radio occultation data, Atmos. Meas. Tech., 8, 4281–4294, https://doi.org/10.5194/amt-8-4281-2015.

Wentz, F. J., 2015: A 17-yr climate record of environmental parameters derived from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager, J. Climate, 28, 6882–6902, https://doi.org/10.1175/JCLI-D-15-0155.1.

Worden, J., Bowman, K., Noone, D., Beer, R., Clough, S., Eldering, A., Fisher, B., Goldman, A., Gunson, M., Herman, R., Kulawik, S. S., Lampel, M., Luo, M., Osterman, G., Rinsland, C., Rodgers, C., Sander, S., Shephard, M., and Worden, H., 2006: Tropospheric emission spectrometer observations of the tropospheric HDO / H2O ratio: Estimation approach and characterization, J. Geophys. Res., 111, D16309, https://doi.org/10.1029/2005JD006606.