The National Climate Assessment - Land Data Assimilation System, or NCA-LDAS, is a terrestrial water reanalysis in support of the United States Global Change Research Program's NCA activities. NCA-LDAS features high resolution, gridded, daily time series data products of terrestrial water and energy balance stores, states, and fluxes over the continental U.S., derived from land surface hydrologic modeling with multivariate assimilation of satellite Environmental Data Records (EDRs). The overall goal is to provide the highest quality terrestrial hydrology products that enable improved scientific understanding, adaptation, and management of water and related energy resources during a changing climate. This dataset consists of a suite of historical trends in terrestrial hydrology over the conterminous United States estimated for the water years of 1980-2015 using the NCA-LDAS daily reanalysis. NCA-LDAS provides gridded daily outputs from the uncoupled Noah version 3.3 land surface model (LSM) at 1/8th degree resolution forced with NLDAS-2 meteorology (Xia et al., 2012), rescaled Climate Prediction Center precipitation, and assimilated satellite-based soil moisture, snow depth, and irrigation products (Jasinski et al., 2019; Kumar et al., 2019). Trends in annual hydrologic indicators are reported using the nonparametric Mann-Kendall test at p < 0.1 significance. An additional precipitation trend field (annual total), with no significance test applied, is included for comparison purposes. Collectively, these fields represent the bulk of the results presented in Jasinski et al. (2019).
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Spatial Extent: | Bounding Rectangle: N: 53 S: 25 E: -67 W: -125 |
Data Format(s): | Distribution: netCDF |
Temporal Extent: | Platform(s): | Noah-LSM | |
Data Center(s): | NASA/GSFC/SED/ESD/GCDC/GESDISC | Instrument(s): | NOT APPLICABLE |
Version: | 2.0 |
10.5067/QFZZBKCO5YJG
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Title: NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment
Publication Date: 2019-01-01
Author(s): Jasinski, M. F., J. S. Borak, S. V. Kumar, D. M. Mocko, C. D. Peters-Lidard, M. Rodell, H. Rui, H. K. Beaudoing, B. E. Vollmer, K. R. Arsenault, B. Li, J. D. Bolten, and N. Tangdamrongsub
DOI: 10.1175/JHM-D-17-0234.1
Title: NCA-LDAS land analysis: Development and performance of a multisensor, multivariate land data assimilation system for the National Climate Assessment
Publication Date: 2019-01-01
Author(s): Kumar, S., M. Jasinski, D.M. Mocko, M. Rodell, J. Borak, B. Li, H. Kato Beaudoing, and C. Peters-Lidard
DOI: 10.1175/JHM-D-17-0125.1
Title: Quantifying the added value of snow cover area observations in passive microwave snow depth data assimilation
Publication Date: 1970-01-01
Author(s): Kumar, S.V., et al.
DOI: 10.1175/JHM-D-15-0021.1
Title: Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes
Publication Date: 1970-01-01
Author(s): Kumar, S.V., et al.
DOI: 10.5194/hess-19-4463-2015
Title: Blending satellite-based snow depth products with in situ observations for streamflow predictions in the Upper Colorado River Basin
Publication Date: 2015-01-01
Author(s): Liu, Y., et al.
DOI: 10.1002/2014WR016606
Title: Assimilation of remotely sensed soil moisture and snow depth retrievals for drought estimation
Publication Date: 2014-01-01
Author(s): Kumar, S.V., et al.
DOI: 10.1175/JHM-D-13-0132.1
Title: 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
Publication Date: 2012-01-01
Author(s): Xia, Y., et al.
DOI: 10.1029/2011JD016048
Title: Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data
Publication Date: 2010-01-01
Author(s): Ozdogan, M., et al.
DOI: 10.1175/2009JHM1116.1
Title: Land Information System - An Interoperable Framework for High Resolution Land Surface Modeling
Publication Date: 2006-01-01
Author(s): Kumar, S.V., et al.
DOI: 10.1016/j.envsoft.2005.07.004
Project Short Name | Campaigns | Project Dates |
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NCA-LDAS | No campaigns listed. | No dates provided. |
Coverage Type | Zone Identifier | Geometry | Granule Representation |
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HORIZONTAL | CARTESIAN | CARTESIAN |
This data center does not have any addresses listed.
This data center does not have any contact mechanisms listed.
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
Greenbelt,
MD
20771
Goddard Earth Sciences Data and Information Services Center
Code 610.2
NASA Goddard Space Flight Center
Greenbelt,
MD
20771
Format: netCDF
Format Type: Native
Media: Online Archive
Fees: None