Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-925-2018
© Author(s) 2018. 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-11-925-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Feb 2018
Research article |
| 16 Feb 2018
| 16 Feb 2018
Collocation mismatch uncertainties in satellite aerosol retrieval validation
Finnish Meteorological Institute, Helsinki, Finland
Pekka Kolmonen
Finnish Meteorological Institute, Helsinki, Finland
Larisa Sogacheva
Finnish Meteorological Institute, Helsinki, Finland
Edith Rodríguez
Finnish Meteorological Institute, Helsinki, Finland
Giulia Saponaro
Finnish Meteorological Institute, Helsinki, Finland
Gerrit de Leeuw
Finnish Meteorological Institute, Helsinki, Finland
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Latest update: 14 Dec 2024
Short summary
We study the collocation mismatch uncertainty related to validating coarse-resolution satellite-based aerosol data against point-like ground based measurements. We use the spatial variability in the satellite data to estimate the upper limit for the uncertainty and study the effect of sampling parameters in the validation. We find that accounting for the collocation mismatch uncertainty increases the fraction of consistent data in the validation.
We study the collocation mismatch uncertainty related to validating coarse-resolution...
