Articles | Volume 15, issue 17
https://doi.org/10.5194/amt-15-5129-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5129-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Sep 2022
Research article |
| 09 Sep 2022
| 09 Sep 2022
Validation of Copernicus Sentinel-3/OLCI Level 2 Land Integrated Water Vapour product
Space and Earth Observation Centre, Finnish Meteorological Institute, Helsinki, Finland
Viktoria F. Sofieva
Space and Earth Observation Centre, Finnish Meteorological Institute, Helsinki, Finland
René Preusker
Institute for Space Sciences, Freie Universität Berlin (FUB), Berlin, Germany
Claire Henocq
ACRI-ST, Sophia-Antipolis, France
Matthieu Denisselle
ACRI-ST, Sophia-Antipolis, France
Steffen Dransfeld
European Space Research Institute (ESRIN), Frascati, Italy
Silvia Scifoni
Serco Italia SpA for European Space Agency (ESA), European Space Research Institute (ESRIN), Frascati, Italy
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Atmos. Meas. Tech., 14, 2993–3002, https://doi.org/10.5194/amt-14-2993-2021, https://doi.org/10.5194/amt-14-2993-2021, 2021
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Tuomas Häkkilä, Pekka T. Verronen, Luis Millán, Monika E. Szeląg, Niilo Kalakoski, and Antti Kero
Ann. Geophys., 38, 1299–1312, https://doi.org/10.5194/angeo-38-1299-2020, https://doi.org/10.5194/angeo-38-1299-2020, 2020
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Jia Jia, Antti Kero, Niilo Kalakoski, Monika E. Szeląg, and Pekka T. Verronen
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Cited articles
Bengtsson, L.: The global atmospheric water cycle, Environ. Res. Lett., 5, 025202, https://doi.org/10.1088/1748-9326/5/2/025202, 2010. a
Bengtsson, L. and Hodges, K. I.: On the impact of humidity observations in
numerical weather prediction, Tellus A, 57, 701–708, 2005. a
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and
Zemp, M.: The concept of essential climate variables in support of climate
research, applications, and policy, B. Am. Meteorol. Soc., 95, 1431–1443, 2014. a
Diedrich, H., Preusker, R., Lindstrot, R., and Fischer, J.: Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces, Atmos. Meas. Tech., 8, 823–836, https://doi.org/10.5194/amt-8-823-2015, 2015. a
Donlon, C., Berruti, B., Buongiorno, A., Ferreira, M.-H., Féménias, P., Frerick, J., Goryl, P., Klein, U., Laur, H., Mavrocordatos, C., Nieke, J., Rebhan, H., Seitz, B., Stroede, J., and Sciarra, R.: The
global monitoring for environment and security (GMES) sentinel-3 mission,
Remote Sens. Environ., 120, 37–57, 2012. a
Doppler, L., Preusker, R., Bennartz, R., and Fischer, J.: K-bin and k-IR: K-distribution methods without correlation approximation for non-fixed instrument response function and extension to the thermal infrared-Applications to satellite remote sensing, J. Quant. Spectrosc. Ra., 133, 382–395, https://doi.org/10.1016/j.jqsrt.2013.09.001, 2013. a
Durre, I., Xungang, Y., Vose, R. S., Applequist, S., and Arnfield, J.: Integrated Global Radiosonde Archive (IGRA), Version 2, NOAA National Centers for Environmental Information, 10, V5X63X0Q, https://doi.org/10.7289/V5X63K0Q, 2016. a
Durre, I., Yin, X., Vose, R. S., Applequist, S., and Arnfield, J.: Enhancing
the data coverage in the Integrated Global Radiosonde Archive, J. Atmos. Ocean. Tech., 35, 1753–1770, 2018. a
Grossi, M., Valks, P., Loyola, D., Aberle, B., Slijkhuis, S., Wagner, T., Beirle, S., and Lang, R.: 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, 2015. a
Kalakoski, N., Kujanpää, J., Sofieva, V., Tamminen, J., Grossi, M., and Valks, P.: Validation of GOME-2/Metop total column water vapour with ground-based and in situ measurements, Atmos. Meas. Tech., 9, 1533–1544, https://doi.org/10.5194/amt-9-1533-2016, 2016. a
Küchler, T., Noël, S., Bovensmann, H., Burrows, J. P., Wagner, T., Borger, C., Borsdorff, T., and Schneider, A.: Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method, Atmos. Meas. Tech., 15, 297–320, https://doi.org/10.5194/amt-15-297-2022, 2022. a
Lindstrot, R., Preusker, R., Diedrich, H., Doppler, L., Bennartz, R., and Fischer, J.: 1D-Var retrieval of daytime total columnar water vapour from MERIS measurements, Atmos. Meas. Tech., 5, 631–646, https://doi.org/10.5194/amt-5-631-2012, 2012. a, b
Mertikas, S., Partsinevelos, P., Tripolitsiotis, A., Kokolakis, C., Petrakis,
G., and Frantzis, X.: Validation of Sentinel-3 OLCI integrated water vapor
products using regional GNSS measurements in crete, Greece, Remote Sens.,
12, 2606, https://doi.org/10.3390/rs12162606, 2020. a
Noël, S., Buchwitz, M., Bovensmann, H., Hoogen, R., and Burrows, J. P.:
Atmospheric water vapor amounts retrieved from GOME satellite data,
Geophys. Res. Lett., 26, 1841–1844, 1999. a
Noël, S., Buchwitz, M., and Burrows, J. P.: 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, 2004. a
Noël, S., Mieruch, S., Bovensmann, H., and Burrows, J. P.: Preliminary results of GOME-2 water vapour retrievals and first applications in polar regions, Atmos. Chem. Phys., 8, 1519–1529, https://doi.org/10.5194/acp-8-1519-2008, 2008. a
Preusker, R., Carbajal Henken, C., and Fischer, J.: Retrieval of Daytime Total Column Water Vapour from OLCI Measurements over Land Surfaces, Remote
Sens., 13, 932, https://doi.org/10.3390/rs13050932, 2021. a
Rast, M., Bezy, J. L., and Bruzzi, S.: The ESA Medium Resolution Imaging
Spectrometer MERIS a review of the instrument and its mission, Int. J. Remote Sens., 20, 1681–1702, https://doi.org/10.1080/014311699212416, 1999. a
Roman, J., Knuteson, R., August, T., Hultberg, T., Ackerman, S., and Revercomb, H.: A global assessment of NASA AIRS v6 and EUMETSAT IASI v6 precipitable water vapor using ground-based GPS SuomiNet stations, J. Geophys. Res.-Atmos., 121, 8925–8948, 2016. a
Schluessel, P. and Emery, W. J.: Atmospheric water vapour over oceans from SSM/I measurements, Int. J. Remote Sens., 11, 753–766, 1990. a
Schlüssel, P. and Goldberg, M.: Retrieval of atmospheric temperature and water vapour from IASI measurements in partly cloudy situations, Adv. Space Res., 29, 1703–1706, https://doi.org/10.1016/S0273-1177(02)00101-1, 2002. a
Schröder, M., Lockhoff, M., Fell, F., Forsythe, J., Trent, T., Bennartz, R., Borbas, E., Bosilovich, M. G., Castelli, E., Hersbach, H., Kachi, M., Kobayashi, S., Kursinski, E. R., Loyola, D., Mears, C., Preusker, R., Rossow, W. B., and Saha, S.: The GEWEX Water Vapor Assessment archive of water vapour products from satellite observations and reanalyses, Earth Syst. Sci. Data, 10, 1093–1117, https://doi.org/10.5194/essd-10-1093-2018, 2018. a
Seidel, D. J., Sun, B., Pettey, M., and Reale, A.: Global radiosonde balloon
drift statistics, J. Geophys. Res.-Atmos., 116, D07102, https://doi.org/10.1029/2010JD014891, 2011. a
Sherwood, S., Roca, R., Weckwerth, T., and Andronova, N.: Tropospheric water
vapor, convection, and climate, Rev. Geophys., 48, RG2001, https://doi.org/10.1029/2009RG000301, 2010. a
Shi, L. and Bates, J. J.: Three decades of intersatellite-calibrated
High-Resolution Infrared Radiation Sounder upper tropospheric water vapor,
J. Geophys. Res.-Atmos., 116, D04108, https://doi.org/10.1029/2010JD014847, 2011.
a
Sofieva, V. F., Lee, H. S., Tamminen, J., Lerot, C., Romahn, F., and Loyola, D. G.: A method for random uncertainties validation and probing the natural variability with application to TROPOMI on board Sentinel-5P total ozone measurements, Atmos. Meas. Tech., 14, 2993–3002, https://doi.org/10.5194/amt-14-2993-2021, 2021. a
Van Malderen, R., Brenot, H., Pottiaux, E., Beirle, S., Hermans, C., De Mazière, M., Wagner, T., De Backer, H., and Bruyninx, C.: A multi-site intercomparison of integrated water vapour observations for climate change analysis, Atmos. Meas. Tech., 7, 2487–2512, https://doi.org/10.5194/amt-7-2487-2014, 2014. a, b, c, d, e
Wagner, T., Beirle, S., Sihler, H., and Mies, K.: A feasibility study for the retrieval of the total column precipitable water vapour from satellite observations in the blue spectral range, Atmos. Meas. Tech., 6, 2593–2605, https://doi.org/10.5194/amt-6-2593-2013, 2013. a
Wang, H., Liu, X., Chance, K., González Abad, G., and Chan Miller, C.: Water vapor retrieval from OMI visible spectra, Atmos. Meas. Tech., 7, 1901–1913, https://doi.org/10.5194/amt-7-1901-2014, 2014. a
Wang, J. and Zhang, L.: Systematic errors in global radiosonde precipitable
water data from comparisons with ground-based GPS measurements, J. Climate, 21, 2218–2238, 2008. a
Wang, J., Zhang, L., Dai, A., Van Hove, T., and Van Baelen, J.: A near-global, 2-hourly data set of atmospheric precipitable water from ground-based GPS measurements, J. Geophys. Res.-Atmos., 112, D11107, https://doi.org/10.1029/2006JD007529, 2007. a, b, c, d
Ware, R. H., Fulker, D. W., Stein, S. A., Anderson, D. N., Avery, S. K., Clark, R. D., Droegemeier, K. K., Kuettner, J. P., Minster, J. B., and Sorooshian, S.: SuomiNet: A real-time national GPS network for atmospheric research and education, B. Am. Meteorol. Soc., 81, 677–694, 2000. a
Wentz, F. J.: A well-calibrated ocean algorithm for special sensor
microwave/imager, J. Geophys. Res.-Oceans, 102, 8703–8718, 1997. a
Short summary
Geophysical validation of the Integrated Water Vapour (IWV) product from the Sentinel-3 Ocean and Land Colour Instrument (OLCI) was performed against reference observations from SUOMINET and IGRA databases. Results for cloud-free matchups over land show a wet bias of 7 %–10 % for OLCI, with a high correlation against the reference observations (0.98 against SUOMINET and 0.90 against IGRA). Special attention is given to validation of uncertainty estimates and cloud flagging.
Geophysical validation of the Integrated Water Vapour (IWV) product from the Sentinel-3 Ocean...
