Tuner-compliant error estimation for mipas: methodology - supplement software and example data

Abstract: Error estimation software and example data Supplement for publication DOI: https://doi.org/10.5194/amt-15-6991-2022 TechnicalRemarks: For detailed description of the method and its validation, see publication 10.5194/acp-2022-152. The supplement contains the error estimation software consisting of the preparation program error_diag2, the estimator Kaffee2, and the postprocessing tools, as well as supporting Fortran 90 and IDL library software used also in the MIPAS/ENVISAT data processor and elsewhere. Unpack with 'tar xvzf 10.5194_amt-2022-152_suppl.tar.gz'. This version of the software is only provided for validation of its functionality and the results in the publication 10.5194/acp-2022-152 and not released for distribution of the original or modified versions. The Fortran Processor library is licensed under LGPLv2.1 and may be modified and distributed under the terms of that license. For detailed information, see the README and html documentation inside.

Cite this as

Clarmann, Thomas von, Glatthor, Norbert, Grabowski, Udo, Funke, Bernd, Kiefer, Michael, Kleinert, Anne, Stiller, Gabriele P., Linden, Andrea, Kellmann, Sylvia, Milz, Mathias, Echle, Georg, Hoepfner, Michael (2023). Dataset: Tuner-compliant error estimation for mipas: methodology - supplement software and example data. https://doi.org/10.35097/1368

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License Other
Source https://doi.org/10.35097/1368
Author Clarmann, Thomas von
More Authors
Glatthor, Norbert
Grabowski, Udo
Funke, Bernd
Kiefer, Michael
Kleinert, Anne
Stiller, Gabriele P.
Linden, Andrea
Kellmann, Sylvia
Milz, Mathias
Echle, Georg
Hoepfner, Michael
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2022
Publication Year 2023
Subject Areas
Name: Geological Science