Cargando…

Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe

Soil moisture is an important variable for land-climate and hydrological interactions. To investigate emergent large-scale, long-term interactions between soil moisture and other key hydro-climatic variables (precipitation, actual evapotranspiration, runoff, temperature), we analyze monthly values a...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghajarnia, Navid, Kalantari, Zahra, Orth, René, Destouni, Georgia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076032/
https://www.ncbi.nlm.nih.gov/pubmed/32179830
http://dx.doi.org/10.1038/s41598-020-61621-y
_version_ 1783507140239949824
author Ghajarnia, Navid
Kalantari, Zahra
Orth, René
Destouni, Georgia
author_facet Ghajarnia, Navid
Kalantari, Zahra
Orth, René
Destouni, Georgia
author_sort Ghajarnia, Navid
collection PubMed
description Soil moisture is an important variable for land-climate and hydrological interactions. To investigate emergent large-scale, long-term interactions between soil moisture and other key hydro-climatic variables (precipitation, actual evapotranspiration, runoff, temperature), we analyze monthly values and anomalies of these variables in 1378 hydrological catchments across Europe over the period 1980–2010. The study distinguishes results for the main European climate regions, and tests how sensitive or robust they are to the use of three alternative observational and re-analysis datasets. Robustly across the European climates and datasets, monthly soil moisture anomalies correlate well with runoff anomalies, and extreme soil moisture and runoff values also largely co-occur. For precipitation, evapotranspiration, and temperature, anomaly correlation and extreme value co-occurrence with soil moisture are overall lower than for runoff. The runoff results indicate a possible new approach to assessing variability and change of large-scale soil moisture conditions by use of long-term time series of monitored catchment-integrating stream discharges.
format Online
Article
Text
id pubmed-7076032
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-70760322020-03-23 Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe Ghajarnia, Navid Kalantari, Zahra Orth, René Destouni, Georgia Sci Rep Article Soil moisture is an important variable for land-climate and hydrological interactions. To investigate emergent large-scale, long-term interactions between soil moisture and other key hydro-climatic variables (precipitation, actual evapotranspiration, runoff, temperature), we analyze monthly values and anomalies of these variables in 1378 hydrological catchments across Europe over the period 1980–2010. The study distinguishes results for the main European climate regions, and tests how sensitive or robust they are to the use of three alternative observational and re-analysis datasets. Robustly across the European climates and datasets, monthly soil moisture anomalies correlate well with runoff anomalies, and extreme soil moisture and runoff values also largely co-occur. For precipitation, evapotranspiration, and temperature, anomaly correlation and extreme value co-occurrence with soil moisture are overall lower than for runoff. The runoff results indicate a possible new approach to assessing variability and change of large-scale soil moisture conditions by use of long-term time series of monitored catchment-integrating stream discharges. Nature Publishing Group UK 2020-03-16 /pmc/articles/PMC7076032/ /pubmed/32179830 http://dx.doi.org/10.1038/s41598-020-61621-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ghajarnia, Navid
Kalantari, Zahra
Orth, René
Destouni, Georgia
Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe
title Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe
title_full Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe
title_fullStr Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe
title_full_unstemmed Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe
title_short Close co-variation between soil moisture and runoff emerging from multi-catchment data across Europe
title_sort close co-variation between soil moisture and runoff emerging from multi-catchment data across europe
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076032/
https://www.ncbi.nlm.nih.gov/pubmed/32179830
http://dx.doi.org/10.1038/s41598-020-61621-y
work_keys_str_mv AT ghajarnianavid closecovariationbetweensoilmoistureandrunoffemergingfrommulticatchmentdataacrosseurope
AT kalantarizahra closecovariationbetweensoilmoistureandrunoffemergingfrommulticatchmentdataacrosseurope
AT orthrene closecovariationbetweensoilmoistureandrunoffemergingfrommulticatchmentdataacrosseurope
AT destounigeorgia closecovariationbetweensoilmoistureandrunoffemergingfrommulticatchmentdataacrosseurope