Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products
Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products
Results are presented from the second phase of the multiinstitution North American Land Data Assimilation System (NLDAS-2) research partnership. In NLDAS, the Noah, Variable Infiltration Capacity, Sacramento Soil Moisture Accounting, and Mosaic land surface models (LSMs) are executed over the conterminous U.S. (CONUS) in realtime and retrospective modes. These runs support the drought analysis, monitoring and forecasting activities of the National Integrated Drought Information System, as well as efforts to monitor large-scale floods. NLDAS-2 builds upon the framework of the first phase of NLDAS (NLDAS-1) by increasing the accuracy and consistency of the surface forcing data, upgrading the land surface model code and parameters, and extending the study from a 3-year (1997-1999) to a 30-year (1979-2008) time window. As the first of two parts, this paper details the configuration of NLDAS-2, describes the upgrades to the forcing, parameters, and code of the four LSMs, and explores overall model-to-model comparisons of land surface water and energy flux and state variables over the CONUS. Focusing on model output rather than on observations, this study seeks to highlight the similarities and differences between models, and to assess changes in output from that seen in NLDAS-1. The second part of the two-part article focuses on the validation of model-simulated streamflow and evaporation against observations. The results depict a higher level of agreement among the four models over much of the CONUS than was found in the first phase of NLDAS. This is due, in part, to recent improvements in the parameters, code, and forcing of the NLDAS-2 LSMs that were initiated following NLDAS-1. However, large inter-model differences still exist in the northeast, Lake Superior, and western mountainous regions of the CONUS, which are associated with cold season processes. In addition, variations in the representation of sub-surface hydrology in the four LSMs lead to large differences in modeled evaporation and subsurface runoff. These issues are important targets for future research by the land surface modeling community. Finally, improvement from NLDAS-1 to NLDAS-2 is summarized by comparing the streamflow measured from U.S. Geological Survey stream gauges with that simulated by four NLDAS models over 961 small basins.
Xia, Youlong
dd51d092-f162-4643-adf3-f1b48f1a53af
Mitchell, Kenneth
91d961dc-4337-4c48-aace-74ebe14f1e2b
Ek, Michael
ce2724ad-0b64-4802-85c5-ad556f31b1e8
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Cosgrove, Brian
04c1e698-3d7c-412a-8d15-1fe35635e687
Wood, Eric
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Luo, Lifeng
e9b25aa8-e877-45a6-bdca-53aba9bbde84
Alonge, Charles
2d6748f2-68eb-4df2-81d3-c43f7cd2a1fb
Wei, Helin
f58a4ae7-b03c-4a7c-8bbc-c167aa889cf3
Meng, Jesse
0378e245-14cf-45d8-b8b2-e35693fa8ff7
Livneh, Ben
80386ab5-130b-448c-9f73-2a00921c4487
Lettenmaier, Dennis
c3ae7db6-9f48-4875-8052-9e16fd099c09
Koren, Victor
0e3aa3bc-5251-4c73-8e68-2efe642345d2
Duan, Qingyun
b75b3e1f-c6c8-4062-bc33-e1d10a87f25b
Mo, Kingtse
a06eb2cc-b19f-4679-9035-60fdd5211160
Fan, Yun
bb465df1-f1e1-47d5-b228-5dccc7a1b52f
Mocko, David
ab17d245-4d17-4334-b3f6-bbc287b3262e
2012
Xia, Youlong
dd51d092-f162-4643-adf3-f1b48f1a53af
Mitchell, Kenneth
91d961dc-4337-4c48-aace-74ebe14f1e2b
Ek, Michael
ce2724ad-0b64-4802-85c5-ad556f31b1e8
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Cosgrove, Brian
04c1e698-3d7c-412a-8d15-1fe35635e687
Wood, Eric
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Luo, Lifeng
e9b25aa8-e877-45a6-bdca-53aba9bbde84
Alonge, Charles
2d6748f2-68eb-4df2-81d3-c43f7cd2a1fb
Wei, Helin
f58a4ae7-b03c-4a7c-8bbc-c167aa889cf3
Meng, Jesse
0378e245-14cf-45d8-b8b2-e35693fa8ff7
Livneh, Ben
80386ab5-130b-448c-9f73-2a00921c4487
Lettenmaier, Dennis
c3ae7db6-9f48-4875-8052-9e16fd099c09
Koren, Victor
0e3aa3bc-5251-4c73-8e68-2efe642345d2
Duan, Qingyun
b75b3e1f-c6c8-4062-bc33-e1d10a87f25b
Mo, Kingtse
a06eb2cc-b19f-4679-9035-60fdd5211160
Fan, Yun
bb465df1-f1e1-47d5-b228-5dccc7a1b52f
Mocko, David
ab17d245-4d17-4334-b3f6-bbc287b3262e
Xia, Youlong, Mitchell, Kenneth, Ek, Michael, Sheffield, Justin, Cosgrove, Brian, Wood, Eric, Luo, Lifeng, Alonge, Charles, Wei, Helin, Meng, Jesse, Livneh, Ben, Lettenmaier, Dennis, Koren, Victor, Duan, Qingyun, Mo, Kingtse, Fan, Yun and Mocko, David
(2012)
Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products.
Journal of Geophysical Research Atmospheres, 117 (3), [D03109].
(doi:10.1029/2011JD016048).
Abstract
Results are presented from the second phase of the multiinstitution North American Land Data Assimilation System (NLDAS-2) research partnership. In NLDAS, the Noah, Variable Infiltration Capacity, Sacramento Soil Moisture Accounting, and Mosaic land surface models (LSMs) are executed over the conterminous U.S. (CONUS) in realtime and retrospective modes. These runs support the drought analysis, monitoring and forecasting activities of the National Integrated Drought Information System, as well as efforts to monitor large-scale floods. NLDAS-2 builds upon the framework of the first phase of NLDAS (NLDAS-1) by increasing the accuracy and consistency of the surface forcing data, upgrading the land surface model code and parameters, and extending the study from a 3-year (1997-1999) to a 30-year (1979-2008) time window. As the first of two parts, this paper details the configuration of NLDAS-2, describes the upgrades to the forcing, parameters, and code of the four LSMs, and explores overall model-to-model comparisons of land surface water and energy flux and state variables over the CONUS. Focusing on model output rather than on observations, this study seeks to highlight the similarities and differences between models, and to assess changes in output from that seen in NLDAS-1. The second part of the two-part article focuses on the validation of model-simulated streamflow and evaporation against observations. The results depict a higher level of agreement among the four models over much of the CONUS than was found in the first phase of NLDAS. This is due, in part, to recent improvements in the parameters, code, and forcing of the NLDAS-2 LSMs that were initiated following NLDAS-1. However, large inter-model differences still exist in the northeast, Lake Superior, and western mountainous regions of the CONUS, which are associated with cold season processes. In addition, variations in the representation of sub-surface hydrology in the four LSMs lead to large differences in modeled evaporation and subsurface runoff. These issues are important targets for future research by the land surface modeling community. Finally, improvement from NLDAS-1 to NLDAS-2 is summarized by comparing the streamflow measured from U.S. Geological Survey stream gauges with that simulated by four NLDAS models over 961 small basins.
This record has no associated files available for download.
More information
Published date: 2012
Identifiers
Local EPrints ID: 480749
URI: http://eprints.soton.ac.uk/id/eprint/480749
ISSN: 0148-0227
PURE UUID: 5966af0f-0b10-4e76-9d5b-dc830589de96
Catalogue record
Date deposited: 09 Aug 2023 17:08
Last modified: 17 Mar 2024 03:40
Export record
Altmetrics
Contributors
Author:
Youlong Xia
Author:
Kenneth Mitchell
Author:
Michael Ek
Author:
Brian Cosgrove
Author:
Eric Wood
Author:
Lifeng Luo
Author:
Charles Alonge
Author:
Helin Wei
Author:
Jesse Meng
Author:
Ben Livneh
Author:
Dennis Lettenmaier
Author:
Victor Koren
Author:
Qingyun Duan
Author:
Kingtse Mo
Author:
Yun Fan
Author:
David Mocko
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics