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Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project
Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

The accuracy of forcing data greatly impacts the ability of land surface models (LSMs) to produce realistic simulations of land surface processes. With this in mind, the multi-institutional North American Land Data Assimilation System (NLDAS) project has produced retrospective (1996-2002) and real-time (1999-present) data sets to support its LSM modeling activities. Featuring 0.125° spatial resolution, hourly temporal resolution, nine primary forcing fields, and six secondary validation/model development fields, each data set is based on a backbone of Eta Data Assimilation System/Eta data and is supplemented with observation-based precipitation and radiation data. Hourly observation-based precipitation data are derived from a combination of daily National Center for Environmental Prediction Climate Prediction Center (CPC) gauge-based precipitation analyses and hourly National Weather Service Doppler radar-based (WSR-88D) precipitation analyses, wherein the hourly radar-based analyses are used to temporally disaggregate the daily CPC analyses. NLDAS observation-based shortwave values are derived from Geostationary Operational Environmental Satellite radiation data processed at the University of Maryland and at the National Environmental Satellite Data and Information Service. Extensive quality control and validation efforts have been conducted on the NLDAS forcing data sets, and favorable comparisons have taken place with Oklahoma Mesonet, Atmospheric Radiation Measurement Program/cloud and radiation test bed, and Surface Radiation observation data. The real-time forcing data set is constantly evolving to make use of the latest advances in forcing-related data sets, and all of the real-time and retrospective data are available online at http://ldas.gsfc.nasa.gov for visualization and downloading in both full and subset forms.

Forcing data, Land surface modeling, LDAS, LSM, NLDAS, North American Land Data Assimilation System
0148-0227
GCP 3-1 - GCP 3-12
Cosgrove, Brian A.
04c1e698-3d7c-412a-8d15-1fe35635e687
Lohmann, Dag
f8974c4b-bc29-499f-8270-9adf64cd0afe
Mitchell, Kenneth E.
91d961dc-4337-4c48-aace-74ebe14f1e2b
Houser, Paul R.
67aba422-f8ae-4d1d-a33f-2e6117ee1d54
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Schaake, John C.
d9224d5c-d695-4d9b-88bb-2bfbfe8eeb61
Robock, Alan
48548a44-cb37-4c27-b96c-3826a9769fef
Marshall, Curtis
848d161d-af29-4f8e-9fbf-2cc0951b9b8a
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Duan, Qingyun
b75b3e1f-c6c8-4062-bc33-e1d10a87f25b
Luo, Lifeng
e9b25aa8-e877-45a6-bdca-53aba9bbde84
Higgins, R. Wayne
93759215-b563-4735-8137-9acc5f14fc93
Pinker, Rachel T.
42f0f84f-36c8-412d-a317-851f70c6fe7d
Tarpley, J. Dan
e4eb84c6-998f-4269-999a-bcddabb8796c
Meng, Jesse
0378e245-14cf-45d8-b8b2-e35693fa8ff7
Cosgrove, Brian A.
04c1e698-3d7c-412a-8d15-1fe35635e687
Lohmann, Dag
f8974c4b-bc29-499f-8270-9adf64cd0afe
Mitchell, Kenneth E.
91d961dc-4337-4c48-aace-74ebe14f1e2b
Houser, Paul R.
67aba422-f8ae-4d1d-a33f-2e6117ee1d54
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Schaake, John C.
d9224d5c-d695-4d9b-88bb-2bfbfe8eeb61
Robock, Alan
48548a44-cb37-4c27-b96c-3826a9769fef
Marshall, Curtis
848d161d-af29-4f8e-9fbf-2cc0951b9b8a
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Duan, Qingyun
b75b3e1f-c6c8-4062-bc33-e1d10a87f25b
Luo, Lifeng
e9b25aa8-e877-45a6-bdca-53aba9bbde84
Higgins, R. Wayne
93759215-b563-4735-8137-9acc5f14fc93
Pinker, Rachel T.
42f0f84f-36c8-412d-a317-851f70c6fe7d
Tarpley, J. Dan
e4eb84c6-998f-4269-999a-bcddabb8796c
Meng, Jesse
0378e245-14cf-45d8-b8b2-e35693fa8ff7

Cosgrove, Brian A., Lohmann, Dag, Mitchell, Kenneth E., Houser, Paul R., Wood, Eric F., Schaake, John C., Robock, Alan, Marshall, Curtis, Sheffield, Justin, Duan, Qingyun, Luo, Lifeng, Higgins, R. Wayne, Pinker, Rachel T., Tarpley, J. Dan and Meng, Jesse (2003) Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. Journal of Geophysical Research: Atmospheres, 108 (22), GCP 3-1 - GCP 3-12. (doi:10.1029/2002jd003118).

Record type: Article

Abstract

The accuracy of forcing data greatly impacts the ability of land surface models (LSMs) to produce realistic simulations of land surface processes. With this in mind, the multi-institutional North American Land Data Assimilation System (NLDAS) project has produced retrospective (1996-2002) and real-time (1999-present) data sets to support its LSM modeling activities. Featuring 0.125° spatial resolution, hourly temporal resolution, nine primary forcing fields, and six secondary validation/model development fields, each data set is based on a backbone of Eta Data Assimilation System/Eta data and is supplemented with observation-based precipitation and radiation data. Hourly observation-based precipitation data are derived from a combination of daily National Center for Environmental Prediction Climate Prediction Center (CPC) gauge-based precipitation analyses and hourly National Weather Service Doppler radar-based (WSR-88D) precipitation analyses, wherein the hourly radar-based analyses are used to temporally disaggregate the daily CPC analyses. NLDAS observation-based shortwave values are derived from Geostationary Operational Environmental Satellite radiation data processed at the University of Maryland and at the National Environmental Satellite Data and Information Service. Extensive quality control and validation efforts have been conducted on the NLDAS forcing data sets, and favorable comparisons have taken place with Oklahoma Mesonet, Atmospheric Radiation Measurement Program/cloud and radiation test bed, and Surface Radiation observation data. The real-time forcing data set is constantly evolving to make use of the latest advances in forcing-related data sets, and all of the real-time and retrospective data are available online at http://ldas.gsfc.nasa.gov for visualization and downloading in both full and subset forms.

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More information

Published date: 27 November 2003
Keywords: Forcing data, Land surface modeling, LDAS, LSM, NLDAS, North American Land Data Assimilation System

Identifiers

Local EPrints ID: 480440
URI: http://eprints.soton.ac.uk/id/eprint/480440
ISSN: 0148-0227
PURE UUID: 7a2a1e32-1bfa-4285-8c8b-540cd9a89800
ORCID for Justin Sheffield: ORCID iD orcid.org/0000-0003-2400-0630

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Date deposited: 02 Aug 2023 16:40
Last modified: 17 Mar 2024 03:40

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Contributors

Author: Brian A. Cosgrove
Author: Dag Lohmann
Author: Kenneth E. Mitchell
Author: Paul R. Houser
Author: Eric F. Wood
Author: John C. Schaake
Author: Alan Robock
Author: Curtis Marshall
Author: Qingyun Duan
Author: Lifeng Luo
Author: R. Wayne Higgins
Author: Rachel T. Pinker
Author: J. Dan Tarpley
Author: Jesse Meng

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