Fassò, A.; Keernik, H.; Rannat, K. On the Kalman Smoother Interpolation Error Distribution in Collocation Comparison of Atmospheric Profiles. Axioms2023, 12, 902.
Fassò, A.; Keernik, H.; Rannat, K. On the Kalman Smoother Interpolation Error Distribution in Collocation Comparison of Atmospheric Profiles. Axioms 2023, 12, 902.
Fassò, A.; Keernik, H.; Rannat, K. On the Kalman Smoother Interpolation Error Distribution in Collocation Comparison of Atmospheric Profiles. Axioms2023, 12, 902.
Fassò, A.; Keernik, H.; Rannat, K. On the Kalman Smoother Interpolation Error Distribution in Collocation Comparison of Atmospheric Profiles. Axioms 2023, 12, 902.
Abstract
The intercomparison among different atmospheric monitoring systems is key for instrument calibration and validation. Common cases involve satellites, radiosonde, radio occultation (e.g. GNSS-RO) and atmospheric model outputs (e.g. ERA5 reanalysis). Since instruments and/or measures are not perfectly collocated, the miss-collocation uncertainty must be considered in the related intercomparison uncertainty budgets.
Keywords
GRUAN data; radiosonde, temperature profiles; collocation uncertainty; Kalman smoother interpolation; Student’s t distribution; GNSS-RO data; ERA5 reanalysis.
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
