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Lossy data compression for atmospheric chemistry using adaptive mesh coarsening

Spataro, Luca (2021) Lossy data compression for atmospheric chemistry using adaptive mesh coarsening. Master's, Technische Universität München.

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Atmospheric chemistry is a tool for researchers in studying the earth's atmosphere. It finds its application in various areas, such as weather forecasting or the study of climate change. The Modular Earth Submodel System MESSy is a software framework enabling researchers to use various mathematical models to run numerical simulations to predict weather changes or analyze climate change effects. With such numerical simulations, extensive data is produced, which demands considerable hard drive space. We solve this problem by applying lossy data compressing using adaptive mesh coarsening. For this, we develop a coupling component between MESSy and the software library t8code, which specializes in adaptive mesh management. We further develop criteria for compressing chemical species and evaluate them on the greenhouse gasses. Finally, we present our results of a benchmark study with the greenhouse gasse.

Item URL in elib:https://elib.dlr.de/144997/
Document Type:Thesis (Master's)
Additional Information:Erstgutachter: Prof. Dr. Michael Bader, Zweitgutachter: Dr. Johannes Holke
Title:Lossy data compression for atmospheric chemistry using adaptive mesh coarsening
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Spataro, LucaUNSPECIFIEDhttps://orcid.org/0000-0003-0178-5113UNSPECIFIED
Date:7 April 2021
Refereed publication:No
Open Access:Yes
Keywords:Adaptive mesh management, Space-filling Curves, Lossy data compression, Atmospheric chemistry, Climate change, Climate simulation, MESSy, t8code
Institution:Technische Universität München
Department:Fakultät für Informatik - Lehrstuhl für Wissenschaftliches Rechnen
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: Oberpfaffenhofen
Institutes and Institutions:Institut of Simulation and Software Technology > High Performance Computing
Institute for Software Technology
Deposited By: Spataro, Luca
Deposited On:13 Dec 2021 11:51
Last Modified:13 Dec 2021 11:51

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