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]

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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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Schreier, Franz	UNSPECIFIED	https://orcid.org/0000-0001-7196-6599	UNSPECIFIED
Hochstaffl, Philipp	UNSPECIFIED	https://orcid.org/0000-0001-9537-3050	UNSPECIFIED

Date:

2020

Journal or Publication Title:

GSICS Quarterly Newsletter

Refereed publication:

Open Access:

Volume:

DOI:

10.25923/ymt5-wz59

Page Range:

pp. 6-8

Editors:

Editors	Email	Editor's ORCID iD	ORCID Put Code
Bali, Manik	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Flynn, Lawrence E.	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Brown, Lori K.	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Yu, Fangfang	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Hweison, Tim	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Li, Yuan	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

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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