elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Statistische Modellierung von Klimasimulationsergebnissen zur Berechnung der zugehörigen Strahlungswirkung

Koopmans, Sabrina (2016) Statistische Modellierung von Klimasimulationsergebnissen zur Berechnung der zugehörigen Strahlungswirkung. Master's, Ludwig-Maximilians Universität München.

[img] PDF
8MB

Official URL: https://epub.ub.uni-muenchen.de/29569/

Abstract

For many studies in climate science a major part of the experimental concept is the comparison of two or more simulations to answer the question: Is there a difference? Depending on the simulation setup and results different procedures have been developed and put to use over the last decades. Now more than ever due to the extensive production of huge datasets, more sophisticated question can be asked and need to be answered. This work will give an overview of the difficulties involved in providing answers, shortly reviews some of the existing methodology and proposes some method for further study. The main part consists of the application of three selected evaluation methods, univariate t-test, principal component analysis and regression models to a specified dataset, which will illustrate the strengths and weaknesses of each. Concluding this work, several recommendations will be given for a statistically sound evaluation strategy depending on the questions asked and datasets produced.

Item URL in elib:https://elib.dlr.de/111774/
Document Type:Thesis (Master's)
Title:Statistische Modellierung von Klimasimulationsergebnissen zur Berechnung der zugehörigen Strahlungswirkung
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Koopmans, SabrinaDLR, IPAUNSPECIFIED
Date:March 2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:101
Status:Published
Keywords:Klimasimulation, Mittelwert, Variabilität, statistische Signifikanz, Hypothesentest, Hauptkomponentenanalyse, Regressionsmodell
Institution:Ludwig-Maximilians Universität München
Department:Institut für Statistik
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Verkehrsentwicklung und Umwelt II (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics
Institute of Atmospheric Physics > Earth System Modelling
Deposited By: Ponater, Dr.rer.nat. Michael
Deposited On:31 Mar 2017 12:09
Last Modified:31 Jul 2019 20:09

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.