Articles | Volume 14, issue 12
Atmos. Meas. Tech., 14, 7821–7834, 2021
https://doi.org/10.5194/amt-14-7821-2021

Special issue: Analysis of atmospheric water vapour observations and their...

Atmos. Meas. Tech., 14, 7821–7834, 2021
https://doi.org/10.5194/amt-14-7821-2021
Research article
16 Dec 2021
Research article | 16 Dec 2021

Global evaluation of the precipitable-water-vapor product from MERSI-II (Medium Resolution Spectral Imager) on board the Fengyun-3D satellite

Wengang Zhang​​​​​​​ et al.

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Cited articles

Adeyemi, B. and Schulz, J.: Analysis of water vapor over nigeria using radiosonde and satellite data, J. Appl. Meteor. Climatol, 51, 1855–1866, https://doi.org/10.1175/JAMC-D-11-0119.1, 2012. 
Alexandrov, M. D., Schmid, B., Turner, D. D., Cairns, B., Oinas, V., Lacis, A. A., Gutman, S. I., Westwater, E. R., Smirnov, A., and Eilers J.: Columnar water vapor retrievals from multifilter rotating shadow band radiometer data, J. Geophys. Res.-Atmos., 114, D02306, https://doi.org/10.1029/2008JD010543, 2009. 
Alraddawi, D., Sarkissian, A., Keckhut, P., Bock, O., Noël, S., Bekki, S., Irbah, A., Meftah, M., and Claud, C.: Comparison of total water vapour content in the Arctic derived from GNSS, AIRS, MODIS and SCIAMACHY, Atmos. Meas. Tech., 11, 2949–2965, https://doi.org/10.5194/amt-11-2949-2018, 2018. 
Antón, M., Loyola, D., Román, R., and Vömel, H.: Validation of GOME-2/MetOp-A total water vapour column using reference radiosonde data from the GRUAN network, Atmos. Meas. Tech., 8, 1135–1145, https://doi.org/10.5194/amt-8-1135-2015, 2015. 
Bennartz, R. and Fischer, J.: Retrieval of columnar water vapour over land from back-scattered solar radiation using the Medium Resolution Imaging Spectrometer (MERIS), Remote Sens. Environ., 78, 274–283, https://doi.org/10.1016/S0034-4257(01)00218-8, 2001. 
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Short summary
Global precipitable water vapor (PWV) derived from MERSI-II (Medium Resolution Spectral Imager) is compared with PWV from the Integrated Global Radiosonde Archive (IGRA). Our results show a good agreement between PWV from MERSI-II and IGRA and that MERSI-II PWV is slightly underestimated on the whole, especially in summer. The bias between MERSI-II and IGRA grows with a larger spatial distance between the footprint of the satellite and the IGRA station, as well as increasing PWV.