PCA study of the interannual variability of the GPS height and environmental parameters
The objective of this study is to investigate a large network of GPS stations to identify and analyze spatially coherent signals present in the Up coordinate time series of the stations and, at the same locations, to identify and analyze common patterns in the series of environmental parameters and...
Main Author: | |
---|---|
Other Authors: | |
Format: | Master Thesis |
Language: | English |
Published: |
Alma Mater Studiorum - Università di Bologna
2020
|
Subjects: | |
Online Access: | http://amslaurea.unibo.it/20438/ http://amslaurea.unibo.it/20438/1/Master_Thesis_Letizia_Elia%20_Finale.pdf |
id |
ftunivbollaurea:oai:amslaurea.cib.unibo.it:20438 |
---|---|
record_format |
openpolar |
spelling |
ftunivbollaurea:oai:amslaurea.cib.unibo.it:20438 2023-05-15T17:32:33+02:00 PCA study of the interannual variability of the GPS height and environmental parameters Elia, Letizia Zerbini, Susanna 2020-03-19 application/pdf http://amslaurea.unibo.it/20438/ http://amslaurea.unibo.it/20438/1/Master_Thesis_Letizia_Elia%20_Finale.pdf en eng Alma Mater Studiorum - Università di Bologna http://amslaurea.unibo.it/20438/1/Master_Thesis_Letizia_Elia%20_Finale.pdf Elia, Letizia (2020) PCA study of the interannual variability of the GPS height and environmental parameters. [Laurea magistrale], Università di Bologna, Corso di Studio in Fisica del sistema terra [LM-DM270] <http://amslaurea.unibo.it/view/cds/CDS8626/> Free to read Geodesy,PCA,SVD,GPS,Climate indices,ENSO,TWS,Surface pressure,NAO,EA,SCAND,AO,TNA Fisica del sistema terra [LM-DM270] PeerReviewed info:eu-repo/semantics/masterThesis 2020 ftunivbollaurea 2022-05-01T15:22:15Z The objective of this study is to investigate a large network of GPS stations to identify and analyze spatially coherent signals present in the Up coordinate time series of the stations and, at the same locations, to identify and analyze common patterns in the series of environmental parameters and climate indices. The study is confined to Europe and the Mediterranean area, where 107 GPS sites were selected from the archive of the Nevada Geodetic Laboratory (NGL) on the basis of the completeness and length of the data series. The parameters of interest the Up coordinate of the GPS stations, the surface pressure (SP), the terrestrial water storage (TWS) and various climate indices: NAO (North Atlantic Oscillation), EA (East Atlantic), AO (Artic Oscillation), SCAND (Scandinavia), TNA (Tropical North Atlantic) and MEI v2 (Multivariate ENSO Index version 2). The Principal Component Analysis (PCA) is the methodology adopted to extract the main patterns of the space/time variability of these parameters. The work also focused on the coupled modes of space/time interannual variability between pairs of variables using the Singular Value Decomposition (SVD) methodology. The coupled variability between all the aforementioned parameters is investigated. This study has identified, over Europe and the Mediterranean, main modes of variability in the time series of the GPS Up coordinate, SP and TWS. The SVD analysis of coupled parameters, namely GPS Up-SP and GPS Up-TWS, showed that most of the common variability is explained by the first 3 modes. Moreover, the correlation between the GPS Up coordinate and the climate indices was estimated to investigate the possible influence of climate variability on the GPS Up behaviour. More than 30 stations, over the total of 107, show significant correlations with the AO, TNA and SCAND indices. The correlation coefficients with MEI v2 turn out to be significant and up to 0.5 for about half of the stations. Master Thesis North Atlantic North Atlantic oscillation Università di Bologna: AMS Tesi di Laurea (Alm@DL) |
institution |
Open Polar |
collection |
Università di Bologna: AMS Tesi di Laurea (Alm@DL) |
op_collection_id |
ftunivbollaurea |
language |
English |
topic |
Geodesy,PCA,SVD,GPS,Climate indices,ENSO,TWS,Surface pressure,NAO,EA,SCAND,AO,TNA Fisica del sistema terra [LM-DM270] |
spellingShingle |
Geodesy,PCA,SVD,GPS,Climate indices,ENSO,TWS,Surface pressure,NAO,EA,SCAND,AO,TNA Fisica del sistema terra [LM-DM270] Elia, Letizia PCA study of the interannual variability of the GPS height and environmental parameters |
topic_facet |
Geodesy,PCA,SVD,GPS,Climate indices,ENSO,TWS,Surface pressure,NAO,EA,SCAND,AO,TNA Fisica del sistema terra [LM-DM270] |
description |
The objective of this study is to investigate a large network of GPS stations to identify and analyze spatially coherent signals present in the Up coordinate time series of the stations and, at the same locations, to identify and analyze common patterns in the series of environmental parameters and climate indices. The study is confined to Europe and the Mediterranean area, where 107 GPS sites were selected from the archive of the Nevada Geodetic Laboratory (NGL) on the basis of the completeness and length of the data series. The parameters of interest the Up coordinate of the GPS stations, the surface pressure (SP), the terrestrial water storage (TWS) and various climate indices: NAO (North Atlantic Oscillation), EA (East Atlantic), AO (Artic Oscillation), SCAND (Scandinavia), TNA (Tropical North Atlantic) and MEI v2 (Multivariate ENSO Index version 2). The Principal Component Analysis (PCA) is the methodology adopted to extract the main patterns of the space/time variability of these parameters. The work also focused on the coupled modes of space/time interannual variability between pairs of variables using the Singular Value Decomposition (SVD) methodology. The coupled variability between all the aforementioned parameters is investigated. This study has identified, over Europe and the Mediterranean, main modes of variability in the time series of the GPS Up coordinate, SP and TWS. The SVD analysis of coupled parameters, namely GPS Up-SP and GPS Up-TWS, showed that most of the common variability is explained by the first 3 modes. Moreover, the correlation between the GPS Up coordinate and the climate indices was estimated to investigate the possible influence of climate variability on the GPS Up behaviour. More than 30 stations, over the total of 107, show significant correlations with the AO, TNA and SCAND indices. The correlation coefficients with MEI v2 turn out to be significant and up to 0.5 for about half of the stations. |
author2 |
Zerbini, Susanna |
format |
Master Thesis |
author |
Elia, Letizia |
author_facet |
Elia, Letizia |
author_sort |
Elia, Letizia |
title |
PCA study of the interannual variability of the GPS height and environmental parameters |
title_short |
PCA study of the interannual variability of the GPS height and environmental parameters |
title_full |
PCA study of the interannual variability of the GPS height and environmental parameters |
title_fullStr |
PCA study of the interannual variability of the GPS height and environmental parameters |
title_full_unstemmed |
PCA study of the interannual variability of the GPS height and environmental parameters |
title_sort |
pca study of the interannual variability of the gps height and environmental parameters |
publisher |
Alma Mater Studiorum - Università di Bologna |
publishDate |
2020 |
url |
http://amslaurea.unibo.it/20438/ http://amslaurea.unibo.it/20438/1/Master_Thesis_Letizia_Elia%20_Finale.pdf |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
http://amslaurea.unibo.it/20438/1/Master_Thesis_Letizia_Elia%20_Finale.pdf Elia, Letizia (2020) PCA study of the interannual variability of the GPS height and environmental parameters. [Laurea magistrale], Università di Bologna, Corso di Studio in Fisica del sistema terra [LM-DM270] <http://amslaurea.unibo.it/view/cds/CDS8626/> |
op_rights |
Free to read |
_version_ |
1766130734149402624 |