Haihe River Basin evapotranspiration datasets

Fuente: PANGAEA
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Auteur principal: Koch, Julian
Format: Dataset Open Access
Langue:en
Publié: PANGAEA 2020
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author Koch, Julian
author_facet Koch, Julian
collection Datos científicos de ciencias marinas y ambientales
contents Irrigation is the greatest human interference with the terrestrial water cycle. Detailed knowledge on irrigation is required to better manage water resources and to increase water use efficiency. This data repository contains two sources of evapotranspiration estimations that can be used to quantify irrigation. The data covers the Haihe River Basin with an area of approximately 320,000 km2 and encompasses mountainous regions in the west and north and lowlands in the east and south. The lowlands refer to the North China Plain, which covers approximately 140,000 km2. The North Chin Plain is a global hotspot of prolonged groundwater depletion induced by irrigation agriculture. The hydrologic model (mHM_Fluxes_States) does not consider irrigation and therefore it estimates evapotranspiration under purely rainfed conditions. The remote sensing based estimation of evapotranspiration (ET_PTJPL) reflects the natural conditions, with rain as sources of water, as well the human interferences (irrigation). Therefore the hydrologic model will systematically underestimated evapotranspiration under irrigation and the systematic residuals can be utilized to quantify irrigation. The spatial resolution if the evapotranspiration estimates is 1 km2 and the temporal resolution is at monthly timescale. The study period is from January 2002 to December 2016.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_914113
institution PANGAEA
language en
publishDate 2020
publisher PANGAEA
record_format pangaea
spellingShingle Haihe River Basin evapotranspiration datasets
Koch, Julian
File content; File format; File name; File size; Haihe_River_Basin_model; Model; Uniform resource locator/link to file
Irrigation is the greatest human interference with the terrestrial water cycle. Detailed knowledge on irrigation is required to better manage water resources and to increase water use efficiency. This data repository contains two sources of evapotranspiration estimations that can be used to quantify irrigation. The data covers the Haihe River Basin with an area of approximately 320,000 km2 and encompasses mountainous regions in the west and north and lowlands in the east and south. The lowlands refer to the North China Plain, which covers approximately 140,000 km2. The North Chin Plain is a global hotspot of prolonged groundwater depletion induced by irrigation agriculture. The hydrologic model (mHM_Fluxes_States) does not consider irrigation and therefore it estimates evapotranspiration under purely rainfed conditions. The remote sensing based estimation of evapotranspiration (ET_PTJPL) reflects the natural conditions, with rain as sources of water, as well the human interferences (irrigation). Therefore the hydrologic model will systematically underestimated evapotranspiration under irrigation and the systematic residuals can be utilized to quantify irrigation. The spatial resolution if the evapotranspiration estimates is 1 km2 and the temporal resolution is at monthly timescale. The study period is from January 2002 to December 2016.
title Haihe River Basin evapotranspiration datasets
topic File content; File format; File name; File size; Haihe_River_Basin_model; Model; Uniform resource locator/link to file
url https://doi.org/10.1594/PANGAEA.914113