2026-10-14T15:44:22Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/13682026-10-09T11:04:48Zradar4kit
https://dx.doi.org/10.35097/1368
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
TUNER-compliant error estimation for MIPAS: Methodology - Supplement Software and Example Data
Karlsruhe Institute of Technology
2023
Geological Science
dataset
Dataset
info:eu-repo/semantics/openAccess
Other
info:eu-repo/semantics/openAccess
non-free validate only + LGPLv2.1
Error estimation software and example data
Supplement for publication DOI: https://doi.org/10.5194/amt-15-6991-2022
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.
TUNER
MIPAS
ENVISAT
software
atmospheric composition
climate data
error analysis
IMK-ASF
IMK
algorithm
10.5445/IR/1000150823
KITopen-DOI
application/x-tar