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Estimation of the terrestrial water budget over Northern Eurasia through the use of multiple data sources

Estimation of the terrestrial water budget over Northern Eurasia through the use of multiple data sources
Estimation of the terrestrial water budget over Northern Eurasia through the use of multiple data sources

Northern Eurasia has experienced significant change in its hydrology during the past century. Much of the literature has focused on documenting and understanding the trends rather than documenting the uncertainty that exists in current estimates of the mean hydroclimatology. This study quantifies the terrestrial water budget with reanalysis, hydrologic modeling, remote sensing, and in situ observations and shows there is significant uncertainty in the estimates of precipitation, evapotranspiration, runoff, and terrestrial water storage changes. The spread among the various datasets highlights the scientific community's inability to accurately characterize the hydroclimatology of this region, which is problematic because much attention has focused on hydrologic trends using these datasets. The largest relative differences among estimates exist in the terrestrial storage change, which also is the least studied variable. Seasonally, the spread in estimates relative to the mean is largest in winter, when uncertainty in cold-season processes and measurements causes large differences in the estimates. A methodology is developed that takes advantage of multiple sources of data and observed discharge to improve estimates of precipitation, evapotranspiration, and storage changes. The method also provides a framework to evaluate the errors in datasets for variables that have no large-scale in situ measurements, such as evapotranspiration.

Databases, Evapotranspiration, Precipitation, Water budget, Winter/cool season
0894-8755
3272-3293
Troy, Tara J.
0f42a33e-d70e-4f52-a559-718f4a25d8d8
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Troy, Tara J.
0f42a33e-d70e-4f52-a559-718f4a25d8d8
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf

Troy, Tara J., Sheffield, Justin and Wood, Eric F. (2011) Estimation of the terrestrial water budget over Northern Eurasia through the use of multiple data sources. Journal of Climate, 24 (13), 3272-3293. (doi:10.1175/2011JCLI3936.1).

Record type: Article

Abstract

Northern Eurasia has experienced significant change in its hydrology during the past century. Much of the literature has focused on documenting and understanding the trends rather than documenting the uncertainty that exists in current estimates of the mean hydroclimatology. This study quantifies the terrestrial water budget with reanalysis, hydrologic modeling, remote sensing, and in situ observations and shows there is significant uncertainty in the estimates of precipitation, evapotranspiration, runoff, and terrestrial water storage changes. The spread among the various datasets highlights the scientific community's inability to accurately characterize the hydroclimatology of this region, which is problematic because much attention has focused on hydrologic trends using these datasets. The largest relative differences among estimates exist in the terrestrial storage change, which also is the least studied variable. Seasonally, the spread in estimates relative to the mean is largest in winter, when uncertainty in cold-season processes and measurements causes large differences in the estimates. A methodology is developed that takes advantage of multiple sources of data and observed discharge to improve estimates of precipitation, evapotranspiration, and storage changes. The method also provides a framework to evaluate the errors in datasets for variables that have no large-scale in situ measurements, such as evapotranspiration.

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More information

Accepted/In Press date: 8 July 2010
Published date: 1 July 2011
Keywords: Databases, Evapotranspiration, Precipitation, Water budget, Winter/cool season

Identifiers

Local EPrints ID: 480838
URI: http://eprints.soton.ac.uk/id/eprint/480838
ISSN: 0894-8755
PURE UUID: ca39d7df-0892-47a7-b40a-773fb98926c5
ORCID for Justin Sheffield: ORCID iD orcid.org/0000-0003-2400-0630

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Date deposited: 10 Aug 2023 16:37
Last modified: 17 Mar 2024 03:40

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Contributors

Author: Tara J. Troy
Author: Eric F. Wood

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