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Py4CAtS - PYthon for Computational ATmospheric Spectroscopy

Schreier, Franz and Hochstaffl, Philipp (2020) Py4CAtS - PYthon for Computational ATmospheric Spectroscopy. GSICS Coordination Center; NOAA/NESDIS/STAR; Center for Weather and Climate Prediction. [Other]

Full text not available from this repository.

Official URL: https://repository.library.noaa.gov/view/noaa/23443


Item URL in elib:https://elib.dlr.de/137987/
Document Type:Other
Title:Py4CAtS - PYthon for Computational ATmospheric Spectroscopy
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schreier, FranzFranz.Schreier (at) dlr.dehttps://orcid.org/0000-0001-7196-6599
Hochstaffl, PhilippPhilipp.Hochstaffl (at) dlr.dehttps://orcid.org/0000-0001-9537-3050
Date:2020
Journal or Publication Title:GSICS Quarterly Newsletter
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:13
DOI :10.25923/ymt5-wz59
Page Range:pp. 6-8
Editors:
EditorsEmailEditor's ORCID iD
Bali, ManikUNSPECIFIEDUNSPECIFIED
Flynn, Lawrence E.UNSPECIFIEDUNSPECIFIED
Brown, Lori K.UNSPECIFIEDUNSPECIFIED
Yu, FangfangUNSPECIFIEDUNSPECIFIED
Hweison, TimUNSPECIFIEDUNSPECIFIED
Li, YuanUNSPECIFIEDUNSPECIFIED
Publisher:GSICS Coordination Center; NOAA/NESDIS/STAR; Center for Weather and Climate Prediction
Status:Published
Keywords:infrared, radiative transfer, molecular absorption, line-by-line
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Schreier, Dr.rer.nat. Franz
Deposited On:07 Apr 2021 18:01
Last Modified:07 Apr 2021 18:01

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