The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration

In recent years, stable isotopes of the water molecule (oxygen-18 and deuterium) have become a useful tool for tracking the water cycle. The concentration of these tracers changes with variations of water molecules within the water cycle. Due to this feature of isotopes, global large-scale isotope m...

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Autores principales:	Sara Nazif, Maryam Mosaffa, Youssef Khalaj Amirhosseini
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	downscaling stable water isotopes statistical methods Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/45523e8ce956474b88956a6ddb423545
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spelling	oai:doaj.org-article:45523e8ce956474b88956a6ddb4235452021-11-05T18:48:00ZThe development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration2040-22442408-935410.2166/wcc.2020.208https://doaj.org/article/45523e8ce956474b88956a6ddb4235452021-05-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/3/709https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354In recent years, stable isotopes of the water molecule (oxygen-18 and deuterium) have become a useful tool for tracking the water cycle. The concentration of these tracers changes with variations of water molecules within the water cycle. Due to this feature of isotopes, global large-scale isotope models have been developed. On the other hand, numerous local and global networks have been created in order to monitor the concentration of precipitation isotopes. The main problem with the simultaneous use of these local stations and the large-scale isotope datasets is their temporal and spatial mismatch. To use both isotope databases for monitoring the hydrological cycle in local scale, it is necessary to downscale the large-scale models' outputs. In this research, a downscaling approach is proposed for isotopes' concentrations using three statistical models, including multiple linear regression, generalized linear and weighting least square regression models. The results indicate that the implementation of the statistical downscaling method in the case of information preprocessing based on the seasonal changes, their spatial variations and a suitable method selection is a useful tool for monitoring the climate changes of a region according to the information on the stable oxygen-18 isotope.Sara NazifMaryam MosaffaYoussef Khalaj AmirhosseiniIWA Publishingarticledownscalingstable water isotopesstatistical methodsEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 3, Pp 709-729 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	downscaling stable water isotopes statistical methods Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	downscaling stable water isotopes statistical methods Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Sara Nazif Maryam Mosaffa Youssef Khalaj Amirhosseini The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration
description	In recent years, stable isotopes of the water molecule (oxygen-18 and deuterium) have become a useful tool for tracking the water cycle. The concentration of these tracers changes with variations of water molecules within the water cycle. Due to this feature of isotopes, global large-scale isotope models have been developed. On the other hand, numerous local and global networks have been created in order to monitor the concentration of precipitation isotopes. The main problem with the simultaneous use of these local stations and the large-scale isotope datasets is their temporal and spatial mismatch. To use both isotope databases for monitoring the hydrological cycle in local scale, it is necessary to downscale the large-scale models' outputs. In this research, a downscaling approach is proposed for isotopes' concentrations using three statistical models, including multiple linear regression, generalized linear and weighting least square regression models. The results indicate that the implementation of the statistical downscaling method in the case of information preprocessing based on the seasonal changes, their spatial variations and a suitable method selection is a useful tool for monitoring the climate changes of a region according to the information on the stable oxygen-18 isotope.
format	article
author	Sara Nazif Maryam Mosaffa Youssef Khalaj Amirhosseini
author_facet	Sara Nazif Maryam Mosaffa Youssef Khalaj Amirhosseini
author_sort	Sara Nazif
title	The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration
title_short	The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration
title_full	The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration
title_fullStr	The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration
title_full_unstemmed	The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration
title_sort	development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/45523e8ce956474b88956a6ddb423545
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The development of statistical downscaling methods for assessing the effects of climate change on the precipitation isotopes concentration

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