Articles | Volume 37, issue 6
https://doi.org/10.5194/angeo-37-1181-2019
https://doi.org/10.5194/angeo-37-1181-2019
Regular paper
 | 
16 Dec 2019
Regular paper |  | 16 Dec 2019

A numerical method to improve the spatial interpolation of water vapor from numerical weather models: a case study in South and Central America

Laura I. Fernández, Amalia M. Meza, M. Paula Natali, and Clara E. Bianchi

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Cited articles

Berrisford, P., Kållberg, P., Kobayashi, S., Dee, D., Uppala, S., Simmons, A. J., Poli, P., and Sato, H.: Atmospheric conservation properties in ERA-Interim, Q. J. Roy. Meteor. Soc., 137, 1381–1399, https://doi.org/10.1002/qj.864, 2011. a
Bianchi, C. E., Mendoza, L. P. O., Fernández, L. I., Natali, M. P., Meza, A. M., and Moirano, J. F.: Multi-year GNSS monitoring of atmospheric IWV over Central and South America for climate studies, Ann. Geophys., 34, 623–639, https://doi.org/10.5194/angeo-34-623-2016, 2016a. a, b, c
Bianchi, C. E., Mendoza, L. P. O., Fernández, L., Natali, M. P., Meza, A., and Moirano, J.: Time series of atmospheric water vapour and troposphere zenith total delay, over Central and South America, from a homogeneous GNSS reprocessing (MAGGIA ZTD & IWV Solution 1), PANGAEA, https://doi.org/10.1594/PANGAEA.858234, 2016b. a, b
Bock, O., Bouin, M.-N., Walpersd orf, A., Lafore, J. P., Janicot, S., Guichard, F., and Agusti-Panareda, A.: Comparison of ground-based GPS precipitable water vapour to independent observations and NWP model reanalyses over Africa, Q. J. Roy. Meteor. Soc., 133, 2011–2027, https://doi.org/10.1002/qj.185, 2007. a
Bordi, I., Bonis, R. D., Fraedrich, K., and Sutera, A.: Interannual variability patterns of the world's total column water content: Amazon River basin, Theor. Appl. Climatol., 122, 441–455, https://doi.org/10.1007/s00704-014-1304-y, 2014. a, b, c, d
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Short summary
Integrated water vapor (IWV) values from ERA-Interim and MERRA-2 were compared to IWV from GNSS at 67 stations in Central and South America over a 7-year period (2007–2013). The comparison considered the geopotential height differences and the mean IWV values at each station. The discrepancies between IWV from the models and IWV GNSS rose as the geopotential height difference increased. We proposed a numerical correction that compensates for this effect, which was tested with IWV ERA-Interim.