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A prototype global drought information system based on multiple land surface models

A prototype global drought information system based on multiple land surface models
A prototype global drought information system based on multiple land surface models

The implementation of a multimodel drought monitoring system is described, which provides near-real-time estimates of surface moisture storage for the global land areas between 50°S and 50°N with a time lag of about 1 day. Near-real-time forcings are derived from satellite-based precipitation estimates and modeled air temperatures. The system distinguishes itself from other operational systems in that it uses multiple land surface models (Variable Infiltration Capacity, Noah, and Sacramento) to simulate surface moisture storage, which are then combined to derive a multimodel estimate of drought. A comparison of the results with other historic and current drought estimates demonstrates that near-real-time nowcasting of global drought conditions based on satellite and model forcings is entirely feasible. However, challenges remain because hydrological droughts are inherently defined in the context of a long-term climatology. Changes in observing platforms can be misinterpreted as droughts (or as excessively wet periods). This problem cannot simply be addressed through the addition of more observations or through the development of new observing platforms. Instead, it will require careful (re)construction of long-term records that are updated in near-real time in a consistent manner so that changes in surface meteorological forcings reflect actual conditions rather than changes in methods or sources.

Drought, Ensembles, Hydrologic models, Nowcasting
1525-755X
1661-1676
Nijssen, Bart
386f1ab9-0e33-4f30-8539-e0ec4b96d4cf
Shukla, Shraddhanand
65537f2f-ef0c-4802-9e9c-25851ad68b21
Lin, Chiyu
c754fa61-fb74-4c52-b3e3-336427b1281c
Gao, Huilin
0ab679b9-f396-48c1-b668-3f96e0f6a1c0
Zhou, Tian
e1d79e44-9e3c-47f7-807c-f3de61af5a10
Ishottama,
bb42bf55-eaaf-4c92-a4ab-b63038bb0565
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Lettenmaier, Dennis P.
c3ae7db6-9f48-4875-8052-9e16fd099c09
Nijssen, Bart
386f1ab9-0e33-4f30-8539-e0ec4b96d4cf
Shukla, Shraddhanand
65537f2f-ef0c-4802-9e9c-25851ad68b21
Lin, Chiyu
c754fa61-fb74-4c52-b3e3-336427b1281c
Gao, Huilin
0ab679b9-f396-48c1-b668-3f96e0f6a1c0
Zhou, Tian
e1d79e44-9e3c-47f7-807c-f3de61af5a10
Ishottama,
bb42bf55-eaaf-4c92-a4ab-b63038bb0565
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Lettenmaier, Dennis P.
c3ae7db6-9f48-4875-8052-9e16fd099c09

Nijssen, Bart, Shukla, Shraddhanand, Lin, Chiyu, Gao, Huilin, Zhou, Tian, Ishottama, , Sheffield, Justin, Wood, Eric F. and Lettenmaier, Dennis P. (2014) A prototype global drought information system based on multiple land surface models. Journal of Hydrometeorology, 15 (4), 1661-1676. (doi:10.1175/JHM-D-13-090.1).

Record type: Article

Abstract

The implementation of a multimodel drought monitoring system is described, which provides near-real-time estimates of surface moisture storage for the global land areas between 50°S and 50°N with a time lag of about 1 day. Near-real-time forcings are derived from satellite-based precipitation estimates and modeled air temperatures. The system distinguishes itself from other operational systems in that it uses multiple land surface models (Variable Infiltration Capacity, Noah, and Sacramento) to simulate surface moisture storage, which are then combined to derive a multimodel estimate of drought. A comparison of the results with other historic and current drought estimates demonstrates that near-real-time nowcasting of global drought conditions based on satellite and model forcings is entirely feasible. However, challenges remain because hydrological droughts are inherently defined in the context of a long-term climatology. Changes in observing platforms can be misinterpreted as droughts (or as excessively wet periods). This problem cannot simply be addressed through the addition of more observations or through the development of new observing platforms. Instead, it will require careful (re)construction of long-term records that are updated in near-real time in a consistent manner so that changes in surface meteorological forcings reflect actual conditions rather than changes in methods or sources.

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More information

Published date: 2014
Additional Information: Funding Information: The University of Washington's contribution to this paper was supported under NASA Grant NNX10AG87G and NOAA Grant NA10OAR4310245 to the University of Washington. Shraddhanand Shukla is currently supported by the Postdoc Applying Climate Expertise (PACE) Fellowship Program, partially funded by the NOAA Climate Program Office and administered by theUCARVisiting Scientist Programs. Publisher Copyright: © 2014 American Meteorological Society.
Keywords: Drought, Ensembles, Hydrologic models, Nowcasting

Identifiers

Local EPrints ID: 480781
URI: http://eprints.soton.ac.uk/id/eprint/480781
ISSN: 1525-755X
PURE UUID: 29c35634-1e5e-43b3-872e-29cd3098521f
ORCID for Justin Sheffield: ORCID iD orcid.org/0000-0003-2400-0630

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Date deposited: 09 Aug 2023 17:13
Last modified: 18 Mar 2024 03:33

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Contributors

Author: Bart Nijssen
Author: Shraddhanand Shukla
Author: Chiyu Lin
Author: Huilin Gao
Author: Tian Zhou
Author: Ishottama
Author: Eric F. Wood
Author: Dennis P. Lettenmaier

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