Alternate identifier:
(KITopen-DOI) 10.5445/IR/1000150823
Related identifier:
-
Creator/Author:
Clarmann, Thomas von [Atmosphärische Spurenstoffe und Fernerkundung]

Glatthor, Norbert [Atmosphärische Spurenstoffe und Fernerkundung]

Grabowski, Udo [Atmosphärische Spurenstoffe und Fernerkundung]

Funke, Bernd [Funke, Bernd]

Kiefer, Michael [Atmosphärische Spurenstoffe und Fernerkundung]

Kleinert, Anne [Atmosphärische Spurenstoffe und Fernerkundung]

Stiller, Gabriele P. https://orcid.org/0000-0003-2883-6873 [Atmosphärische Spurenstoffe und Fernerkundung]

Linden, Andrea [Atmosphärische Spurenstoffe und Fernerkundung]

Kellmann, Sylvia [Atmosphärische Spurenstoffe und Fernerkundung]

Milz, Mathias [Atmosphärische Spurenstoffe und Fernerkundung]

Echle, Georg [Atmosphärische Spurenstoffe und Fernerkundung]

Hoepfner, Michael https://orcid.org/0000-0002-4174-9531 [Atmosphärische Spurenstoffe und Fernerkundung]
Contributors:
-
Title:
TUNER-compliant error estimation for MIPAS: Methodology - Supplement Software and Example Data
Additional titles:
-
Description:
(Abstract) Error estimation software and example data Supplement for publication DOI: https://doi.org/10.5194/amt-15-6991-2022
(Technical Remarks) 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.
Keywords:
TUNER
MIPAS
ENVISAT
software
atmospheric composition
climate data
error analysis
IMK-ASF
IMK
algorithm
Related information:
-
Language:
-
Production year:
Subject areas:
Geological Science
Resource type:
Dataset
Data source:
-
Software used:
-
Data processing:
-
Publication year:
Rights holders:
Clarmann, Thomas von

Glatthor, Norbert

Grabowski, Udo

Funke, Bernd

Kiefer, Michael

Kleinert, Anne

Linden, Andrea

Kellmann, Sylvia

Milz, Mathias

Echle, Georg
Funding:
-
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2023-06-21
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kitopen
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