NDLI: Comparing the spatial structure of variability in two datasets against each other on the basis of EOF-modes

Content Provider	Springer Nature Link
Author	Bayr, Tobias Dommenget, Dietmar
Copyright Year	2013
Abstract	In analysis of climate variability or change it is often of interest how the spatial structure in modes of variability in two datasets differ from each other, e.g. between past and future climate or between models and observations. Often such analysis is based on Empirical Orthogonal Function (EOF) analysis or other simple indices of large-scale spatial structures. The present analysis lays out a concept on how two datasets of multivariate climate variability can be compared against each other on basis of EOF analysis and how the differences in the multivariate spatial structure between the two datasets can be quantified in terms of explained variance in the leading spatial patterns. It is also illustrated how the patterns of largest differences between the two datasets can be defined and interpreted. We illustrate this method on the basis of several well-defined artificial examples and by comparing our approach with examples of climate change studies from the literature. These literature examples include analysis of changes in the modes of variability under climate change for the sea level pressure (SLP) of the North Atlantic and Europe, the SLP of the Southern Hemisphere, the surface temperature of the Northern Hemisphere, the sea surface temperature of the North Pacific and for precipitation in the tropical Indo-Pacific.
Starting Page	1631
Ending Page	1648
Page Count	18
File Format	PDF
ISSN	09307575
Journal	Climate Dynamics
Volume Number	42
Issue Number	5-6
e-ISSN	14320894
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-03-12
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Modes of variability Spatial structure of variability Empirical orthogonal functions Global warming Geophysics/Geodesy Climatology Oceanography
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Comparing the spatial structure of variability in two datasets against each other on the basis of EOF-modes

Global warming, low-frequency variability, and biennial oscillation: an attempt to understand the physical mechanisms driving major ENSO events

The roles of external forcing and natural variability in global warming hiatuses

Evaluating EOF modes against a stochastic null hypothesis

Eurasian snow cover variability in relation to warming trend and Arctic Oscillation

Variability of the Atlantic thermohaline circulation described by three-dimensional empirical orthogonal functions

Variability of the Atlantic thermohaline circulation described by three-dimensional empirical orthogonal functions

The eastward shift of the Walker Circulation in response to global warming and its relationship to ENSO variability

Role of the upper ocean structure in the response of ENSO-like SST variability to global warming

Comparing the spatial structure of variability in two datasets against each other on the basis of EOF-modes

Similar Documents

Comparing the spatial structure of variability in two datasets against each other on the basis of EOF-modes

Global warming, low-frequency variability, and biennial oscillation: an attempt to understand the physical mechanisms driving major ENSO events

The roles of external forcing and natural variability in global warming hiatuses

Evaluating EOF modes against a stochastic null hypothesis

Eurasian snow cover variability in relation to warming trend and Arctic Oscillation

Variability of the Atlantic thermohaline circulation described by three-dimensional empirical orthogonal functions

Variability of the Atlantic thermohaline circulation described by three-dimensional empirical orthogonal functions

The eastward shift of the Walker Circulation in response to global warming and its relationship to ENSO variability

Role of the upper ocean structure in the response of ENSO-like SST variability to global warming

Comparing the spatial structure of variability in two datasets against each other on the basis of EOF-modes