NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate AssessmentSource: Journal of Hydrometeorology:;2019:;volume 020:;issue 008::page 1595Author:Jasinski, Michael F.
,
Borak, Jordan S.
,
Kumar, Sujay V.
,
Mocko, David M.
,
Peters-Lidard, Christa D.
,
Rodell, Matthew
,
Rui, Hualan
,
Beaudoing, Hiroko K.
,
Vollmer, Bruce E.
,
Arsenault, Kristi R.
,
Li, Bailing
,
Bolten, John D.
,
Tangdamrongsub, Natthachet
DOI: 10.1175/JHM-D-17-0234.1Publisher: American Meteorological Society
Abstract: AbstractTerrestrial hydrologic trends over the conterminous United States are estimated for 1980?2015 using the National Climate Assessment Land Data Assimilation System (NCA-LDAS) reanalysis. NCA-LDAS employs the uncoupled Noah version 3.3 land surface model at 0.125° ? 0.125° forced with NLDAS-2 meteorology, rescaled Climate Prediction Center precipitation, and assimilated satellite-based soil moisture, snow depth, and irrigation products. Mean annual trends are reported using the nonparametric Mann?Kendall test at p < 0.1 significance. Results illustrate the interrelationship between regional gradients in forcing trends and trends in other land energy and water stores and fluxes. Mean precipitation trends range from +3 to +9 mm yr?1 in the upper Great Plains and Northeast to ?1 to ?9 mm yr?1 in the West and South, net radiation flux trends range from +0.05 to +0.20 W m?2 yr?1 in the East to ?0.05 to ?0.20 W m?2 yr?1 in the West, and U.S.-wide temperature trends average about +0.03 K yr?1. Trends in soil moisture, snow cover, latent and sensible heat fluxes, and runoff are consistent with forcings, contributing to increasing evaporative fraction trends from west to east. Evaluation of NCA-LDAS trends compared to independent data indicates mixed results. The RMSE of U.S.-wide trends in number of snow cover days improved from 3.13 to 2.89 days yr?1 while trend detection increased 11%. Trends in latent heat flux were hardly affected, with RMSE decreasing only from 0.17 to 0.16 W m?2 yr?1, while trend detection increased 2%. NCA-LDAS runoff trends degraded significantly from 2.6 to 16.1 mm yr?1 while trend detection was unaffected. Analysis also indicated that NCA-LDAS exhibits relatively more skill in low precipitation station density areas, suggesting there are limits to the effectiveness of satellite data assimilation in densely gauged regions. Overall, NCA-LDAS demonstrates capability for quantifying physically consistent, U.S. hydrologic climate trends over the satellite era.
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contributor author | Jasinski, Michael F. | |
contributor author | Borak, Jordan S. | |
contributor author | Kumar, Sujay V. | |
contributor author | Mocko, David M. | |
contributor author | Peters-Lidard, Christa D. | |
contributor author | Rodell, Matthew | |
contributor author | Rui, Hualan | |
contributor author | Beaudoing, Hiroko K. | |
contributor author | Vollmer, Bruce E. | |
contributor author | Arsenault, Kristi R. | |
contributor author | Li, Bailing | |
contributor author | Bolten, John D. | |
contributor author | Tangdamrongsub, Natthachet | |
date accessioned | 2019-10-05T06:43:10Z | |
date available | 2019-10-05T06:43:10Z | |
date copyright | 6/13/2019 12:00:00 AM | |
date issued | 2019 | |
identifier other | JHM-D-17-0234.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4263207 | |
description abstract | AbstractTerrestrial hydrologic trends over the conterminous United States are estimated for 1980?2015 using the National Climate Assessment Land Data Assimilation System (NCA-LDAS) reanalysis. NCA-LDAS employs the uncoupled Noah version 3.3 land surface model at 0.125° ? 0.125° forced with NLDAS-2 meteorology, rescaled Climate Prediction Center precipitation, and assimilated satellite-based soil moisture, snow depth, and irrigation products. Mean annual trends are reported using the nonparametric Mann?Kendall test at p < 0.1 significance. Results illustrate the interrelationship between regional gradients in forcing trends and trends in other land energy and water stores and fluxes. Mean precipitation trends range from +3 to +9 mm yr?1 in the upper Great Plains and Northeast to ?1 to ?9 mm yr?1 in the West and South, net radiation flux trends range from +0.05 to +0.20 W m?2 yr?1 in the East to ?0.05 to ?0.20 W m?2 yr?1 in the West, and U.S.-wide temperature trends average about +0.03 K yr?1. Trends in soil moisture, snow cover, latent and sensible heat fluxes, and runoff are consistent with forcings, contributing to increasing evaporative fraction trends from west to east. Evaluation of NCA-LDAS trends compared to independent data indicates mixed results. The RMSE of U.S.-wide trends in number of snow cover days improved from 3.13 to 2.89 days yr?1 while trend detection increased 11%. Trends in latent heat flux were hardly affected, with RMSE decreasing only from 0.17 to 0.16 W m?2 yr?1, while trend detection increased 2%. NCA-LDAS runoff trends degraded significantly from 2.6 to 16.1 mm yr?1 while trend detection was unaffected. Analysis also indicated that NCA-LDAS exhibits relatively more skill in low precipitation station density areas, suggesting there are limits to the effectiveness of satellite data assimilation in densely gauged regions. Overall, NCA-LDAS demonstrates capability for quantifying physically consistent, U.S. hydrologic climate trends over the satellite era. | |
publisher | American Meteorological Society | |
title | NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment | |
type | Journal Paper | |
journal volume | 20 | |
journal issue | 8 | |
journal title | Journal of Hydrometeorology | |
identifier doi | 10.1175/JHM-D-17-0234.1 | |
journal fristpage | 1595 | |
journal lastpage | 1617 | |
tree | Journal of Hydrometeorology:;2019:;volume 020:;issue 008 | |
contenttype | Fulltext |