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Challenges and Prospects for Numerical Techniques in Atmospheric Modeling

Li, Jinxi and Li, Yiguan and Steppeler, Jürgen and Laurian, Audine and Fang, Fangxin and Knapp, David (2022) Challenges and Prospects for Numerical Techniques in Atmospheric Modeling. Other. American Meteorological Society.

Full text not available from this repository.

Abstract

The authors summarized the presentations and contributions to the Mathematics of the Weather conference 2022. The conference was held from 4.10.22 to 6.10.22 to disucss new numerical algorithms that have been or could be applied in numerical weather prediction, research or model development. This year, the conference had the application of deep learning as a special subject. Each contribution of the conference and their key-thesis are represented in this report.

Item URL in elib:https://elib.dlr.de/198937/
Document Type:Monograph (Other)
Title:Challenges and Prospects for Numerical Techniques in Atmospheric Modeling
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Li, JinxiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Li, YiguanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Steppeler, JürgenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Laurian, AudineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fang, FangxinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Knapp, DavidUNSPECIFIEDhttps://orcid.org/0000-0002-6305-1572UNSPECIFIED
Date:2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Numerical Weather Prediction Earth System Modelling Deep Learning Weather Simulation Numerics Simulation
Institution:American Meteorological Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology > High-Performance Computing
Institute for Software Technology
Deposited By: Knapp, David
Deposited On:14 Nov 2023 10:58
Last Modified:14 Nov 2023 10:58

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