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    NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment

    Source: Journal of Hydrometeorology:;2019:;volume 020:;issue 008::page 1595
    Author:
    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-17-0234.1
    Publisher: 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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      NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263207
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    • Journal of Hydrometeorology

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    contributor authorJasinski, Michael F.
    contributor authorBorak, Jordan S.
    contributor authorKumar, Sujay V.
    contributor authorMocko, David M.
    contributor authorPeters-Lidard, Christa D.
    contributor authorRodell, Matthew
    contributor authorRui, Hualan
    contributor authorBeaudoing, Hiroko K.
    contributor authorVollmer, Bruce E.
    contributor authorArsenault, Kristi R.
    contributor authorLi, Bailing
    contributor authorBolten, John D.
    contributor authorTangdamrongsub, Natthachet
    date accessioned2019-10-05T06:43:10Z
    date available2019-10-05T06:43:10Z
    date copyright6/13/2019 12:00:00 AM
    date issued2019
    identifier otherJHM-D-17-0234.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263207
    description abstractAbstractTerrestrial 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.
    publisherAmerican Meteorological Society
    titleNCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment
    typeJournal Paper
    journal volume20
    journal issue8
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-17-0234.1
    journal fristpage1595
    journal lastpage1617
    treeJournal of Hydrometeorology:;2019:;volume 020:;issue 008
    contenttypeFulltext
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