TUNER-compliant error estimation for MIPAS: Methodology - Supplement Software and Example Data

DOI

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.

Identifier
DOI https://doi.org/10.35097/1368
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/1368
Provenance
Creator Clarmann, Thomas von; Glatthor, Norbert; Grabowski, Udo; Funke, Bernd; Kiefer, Michael; Kleinert, Anne; Stiller, Gabriele P. ORCID logo; Linden, Andrea; Kellmann, Sylvia; Milz, Mathias; Echle, Georg; Hoepfner, Michael ORCID logo
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2023
Rights Open Access; Other; info:eu-repo/semantics/openAccess
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Other