Satellite data validation: a parametrization of the natural variability of atmospheric mixing ratios

Laeng, Alexandra; von Clarmann, Thomas; Errera, Quentin; Grabowski, Udo; Honomichl, Shawn

doi:https://doi.org/10.5194/amt-15-2407-2022

Articles | Volume 15, issue 8

https://doi.org/10.5194/amt-15-2407-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Towards Unified Error Reporting (TUNER)

https://doi.org/10.5194/amt-15-2407-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 8

Research article

|

20 Apr 2022

Research article |

| 20 Apr 2022

Satellite data validation: a parametrization of the natural variability of atmospheric mixing ratios

Alexandra Laeng, Thomas von Clarmann, Quentin Errera, Udo Grabowski, and Shawn Honomichl

Data sets

Regression Coefficients of parametrisation of function of natural atmospheric variability and reparametrization on latitudinal gradients software A. Laeng https://doi.org/10.5445/IR/1000137514

Whole Atmosphere Community Climate Model (WACCM) Model Output Atmospheric Chemistry Observations & Modeling/National Center for Atmospheric Research/University Corporation for Atmospheric Research https://rda.ucar.edu/datasets/ds313.6/

WACCM forecast maps Atmospheric Chemistry Observations & Modeling/National Center for Atmospheric Research/University Corporation for Atmospheric Research https://www.acom.ucar.edu/waccm/forecast

Model code and software

Whole Atmosphere Community Climate Model (WACCM) tmospheric Chemistry Observations & Modeling/National Center for Atmospheric Research/University Corporation for Atmospheric Research https://www2.acom.ucar.edu/gcm/waccm

Short summary

In validation exercises, a universal excuse used to explain the residual discrepancy between the data is the natural atmospheric variability due to imperfect co-locations. This work is the first attempt to quantify this atmospheric variability for a large sample of atmospheric constituents and to provide the user with a tool to substract the natural atmospheric variability portion from the residual variability.