Articles | Volume 10, issue 2
Geosci. Model Dev., 10, 709–720, 2017
Geosci. Model Dev., 10, 709–720, 2017
Development and technical paper
15 Feb 2017
Development and technical paper | 15 Feb 2017

Spatio-temporal approach to moving window block kriging of satellite data v1.0

Jovan M. Tadić et al.

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Cited articles

Alkhaled, A. A., Michalak, A. M., Olsen, S., Kawa, S. R., and Wang, J.-W.: A global evaluation of the regional spatial variability of column integrated CO2 distributions, J. Geophys. Res.-Atmos., 113, D20303,, 2008.
Chiles, J.-P. and Delfiner, P.: Geostatistics, 2nd Edn., Wiley, New York, 2012.
Cressie, N. and Huang, H. C.: Classes of nonseperable, spatio-temporal stationary covariance functions, J. Am. Stat. Assoc., 94, 1–53, 1999.
Crevoisier, C., Nobileau, D., Fiore, A. M., Armante, R., Chédin, A., and Scott, N. A.: Tropospheric methane in the tropics – first year from IASI hyperspectral infrared observations, Atmos. Chem. Phys., 9, 6337–6350,, 2009a.
Crevoisier, C., Chédin, A., Matsueda, H., Machida, T., Armante, R., and Scott, N. A.: First year of upper tropospheric integrated content of CO2 from IASI hyperspectral infrared observations, Atmos. Chem. Phys., 9, 4797–4810,, 2009b.
Short summary
We developed a new method to create contiguous maps from sparse and/or noisy satellite observations. This approach could be used to produce retroactive or real-time estimates of environmental data observed by satellites which exhibit spatio-temporal autocorrelations. The method could be applied in a standalone mode or as part of a broader satellite data processing package. Maps produced in this way could then be incorporated into physical and biogeochemical models of the Earth system.