Identifying ENSO-related interannual and decadal variability on terrestrial water storage

Abstract We apply two statistical techniques to satellite measurements to identify a relationship between terrestrial water storage (TWS) and El Niño-Southern Oscillation (ENSO). First, we modified and used the least-squares regression of a previous study using longer records. Second, we applied a c...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Se-Hyeon Cheon, Benjamin D. Hamlington, John T. Reager, Hrishikesh A. Chandanpurkar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/55ed5ca340a842b4a3493f8d139df476
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:55ed5ca340a842b4a3493f8d139df476
record_format	dspace
spelling	oai:doaj.org-article:55ed5ca340a842b4a3493f8d139df4762021-12-02T18:18:33ZIdentifying ENSO-related interannual and decadal variability on terrestrial water storage10.1038/s41598-021-92729-42045-2322https://doaj.org/article/55ed5ca340a842b4a3493f8d139df4762021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92729-4https://doaj.org/toc/2045-2322Abstract We apply two statistical techniques to satellite measurements to identify a relationship between terrestrial water storage (TWS) and El Niño-Southern Oscillation (ENSO). First, we modified and used the least-squares regression of a previous study using longer records. Second, we applied a cyclostationary empirical orthogonal function analysis (CSEOF). Although the CSEOF technique is distinct from the least-squares regression in that it does not consider proxies, each method produces two modes (decadal and interannual), showing consistency with each technique in spatial pattern and its evolution amplitudes. We also compared the results obtained by the two methods for thirty watersheds, of which five watersheds were compared with previous studies. The combination of the two modes explains the total variance in most watersheds showing the role that interannual and decadal ENSO-related signals in understanding terrestrial water storage variability. The results show that the decadal mode, along with the interannual mode, also plays an important role in describing the local TWS.Se-Hyeon CheonBenjamin D. HamlingtonJohn T. ReagerHrishikesh A. ChandanpurkarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Se-Hyeon Cheon Benjamin D. Hamlington John T. Reager Hrishikesh A. Chandanpurkar Identifying ENSO-related interannual and decadal variability on terrestrial water storage
description	Abstract We apply two statistical techniques to satellite measurements to identify a relationship between terrestrial water storage (TWS) and El Niño-Southern Oscillation (ENSO). First, we modified and used the least-squares regression of a previous study using longer records. Second, we applied a cyclostationary empirical orthogonal function analysis (CSEOF). Although the CSEOF technique is distinct from the least-squares regression in that it does not consider proxies, each method produces two modes (decadal and interannual), showing consistency with each technique in spatial pattern and its evolution amplitudes. We also compared the results obtained by the two methods for thirty watersheds, of which five watersheds were compared with previous studies. The combination of the two modes explains the total variance in most watersheds showing the role that interannual and decadal ENSO-related signals in understanding terrestrial water storage variability. The results show that the decadal mode, along with the interannual mode, also plays an important role in describing the local TWS.
format	article
author	Se-Hyeon Cheon Benjamin D. Hamlington John T. Reager Hrishikesh A. Chandanpurkar
author_facet	Se-Hyeon Cheon Benjamin D. Hamlington John T. Reager Hrishikesh A. Chandanpurkar
author_sort	Se-Hyeon Cheon
title	Identifying ENSO-related interannual and decadal variability on terrestrial water storage
title_short	Identifying ENSO-related interannual and decadal variability on terrestrial water storage
title_full	Identifying ENSO-related interannual and decadal variability on terrestrial water storage
title_fullStr	Identifying ENSO-related interannual and decadal variability on terrestrial water storage
title_full_unstemmed	Identifying ENSO-related interannual and decadal variability on terrestrial water storage
title_sort	identifying enso-related interannual and decadal variability on terrestrial water storage
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/55ed5ca340a842b4a3493f8d139df476
work_keys_str_mv	AT sehyeoncheon identifyingensorelatedinterannualanddecadalvariabilityonterrestrialwaterstorage AT benjamindhamlington identifyingensorelatedinterannualanddecadalvariabilityonterrestrialwaterstorage AT johntreager identifyingensorelatedinterannualanddecadalvariabilityonterrestrialwaterstorage AT hrishikeshachandanpurkar identifyingensorelatedinterannualanddecadalvariabilityonterrestrialwaterstorage
_version_	1718378274062598144

Identifying ENSO-related interannual and decadal variability on terrestrial water storage

Ejemplares similares