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Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites

Eddy covariance sites are ideally suited for the study of extreme events on ecosystems as they allow the exchange of trace gases and energy fluxes between ecosystems and the lower atmosphere to be directly measured on a continuous basis. However, standardized definitions of hydroclimatic extremes ar...

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Autores principales: Pohl, Felix, Rakovec, Oldrich, Rebmann, Corinna, Hildebrandt, Anke, Boeing, Friedrich, Hermanns, Floris, Attinger, Sabine, Samaniego, Luis, Kumar, Rohini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183025/
https://www.ncbi.nlm.nih.gov/pubmed/37179354
http://dx.doi.org/10.1038/s41597-023-02192-1
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author Pohl, Felix
Rakovec, Oldrich
Rebmann, Corinna
Hildebrandt, Anke
Boeing, Friedrich
Hermanns, Floris
Attinger, Sabine
Samaniego, Luis
Kumar, Rohini
author_facet Pohl, Felix
Rakovec, Oldrich
Rebmann, Corinna
Hildebrandt, Anke
Boeing, Friedrich
Hermanns, Floris
Attinger, Sabine
Samaniego, Luis
Kumar, Rohini
author_sort Pohl, Felix
collection PubMed
description Eddy covariance sites are ideally suited for the study of extreme events on ecosystems as they allow the exchange of trace gases and energy fluxes between ecosystems and the lower atmosphere to be directly measured on a continuous basis. However, standardized definitions of hydroclimatic extremes are needed to render studies of extreme events comparable across sites. This requires longer datasets than are available from on-site measurements in order to capture the full range of climatic variability. We present a dataset of drought indices based on precipitation (Standardized Precipitation Index, SPI), atmospheric water balance (Standardized Precipitation Evapotranspiration Index, SPEI), and soil moisture (Standardized Soil Moisture Index, SSMI) for 101 ecosystem sites from the Integrated Carbon Observation System (ICOS) with daily temporal resolution from 1950 to 2021. Additionally, we provide simulated soil moisture and evapotranspiration for each site from the Mesoscale Hydrological Model (mHM). These could be utilised for gap-filling or long-term research, among other applications. We validate our data set with measurements from ICOS and discuss potential research avenues.
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spelling pubmed-101830252023-05-15 Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites Pohl, Felix Rakovec, Oldrich Rebmann, Corinna Hildebrandt, Anke Boeing, Friedrich Hermanns, Floris Attinger, Sabine Samaniego, Luis Kumar, Rohini Sci Data Data Descriptor Eddy covariance sites are ideally suited for the study of extreme events on ecosystems as they allow the exchange of trace gases and energy fluxes between ecosystems and the lower atmosphere to be directly measured on a continuous basis. However, standardized definitions of hydroclimatic extremes are needed to render studies of extreme events comparable across sites. This requires longer datasets than are available from on-site measurements in order to capture the full range of climatic variability. We present a dataset of drought indices based on precipitation (Standardized Precipitation Index, SPI), atmospheric water balance (Standardized Precipitation Evapotranspiration Index, SPEI), and soil moisture (Standardized Soil Moisture Index, SSMI) for 101 ecosystem sites from the Integrated Carbon Observation System (ICOS) with daily temporal resolution from 1950 to 2021. Additionally, we provide simulated soil moisture and evapotranspiration for each site from the Mesoscale Hydrological Model (mHM). These could be utilised for gap-filling or long-term research, among other applications. We validate our data set with measurements from ICOS and discuss potential research avenues. Nature Publishing Group UK 2023-05-13 /pmc/articles/PMC10183025/ /pubmed/37179354 http://dx.doi.org/10.1038/s41597-023-02192-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Pohl, Felix
Rakovec, Oldrich
Rebmann, Corinna
Hildebrandt, Anke
Boeing, Friedrich
Hermanns, Floris
Attinger, Sabine
Samaniego, Luis
Kumar, Rohini
Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites
title Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites
title_full Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites
title_fullStr Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites
title_full_unstemmed Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites
title_short Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites
title_sort long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for icos sites
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10183025/
https://www.ncbi.nlm.nih.gov/pubmed/37179354
http://dx.doi.org/10.1038/s41597-023-02192-1
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