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    Sensitivity of Near-Surface Temperature Forecasts to Soil Properties over a Sparsely Vegetated Dryland Region

    Source: Journal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 008::page 1976
    Author:
    Massey, Jeffrey D.
    ,
    Steenburgh, W. James
    ,
    Hoch, Sebastian W.
    ,
    Knievel, Jason C.
    DOI: 10.1175/JAMC-D-13-0362.1
    Publisher: American Meteorological Society
    Abstract: eather Research and Forecasting Model forecasts over the Great Salt Lake Desert erroneously underpredict nocturnal cooling over the sparsely vegetated silt loam soil area of Dugway Proving Ground in northern Utah, with a mean positive bias error in temperature at 2 m AGL of 3.4°C in the early morning [1200 UTC (0500 LST)]. Positive early-morning bias errors also exist in nearby sandy loam soil areas. These biases are related to the improper initialization of soil moisture and parameterization of soil thermal conductivity in silt loam and sandy loam soils. Forecasts of 2-m temperature can be improved by initializing with observed soil moisture and by replacing Johansen's 1975 parameterization of soil thermal conductivity in the Noah land surface model with that proposed by McCumber and Pielke in 1981 for silt loam and sandy loam soils. Case studies illustrate that this change can dramatically reduce nighttime warm biases in 2-m temperature over silt loam and sandy loam soils, with the greatest improvement during periods of low soil moisture. Predicted ground heat flux, soil thermal conductivity, near-surface radiative fluxes, and low-level thermal profiles also more closely match observations. Similar results are anticipated in other dryland regions with analogous soil types, sparse vegetation, and low soil moisture.
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      Sensitivity of Near-Surface Temperature Forecasts to Soil Properties over a Sparsely Vegetated Dryland Region

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4217265
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    contributor authorMassey, Jeffrey D.
    contributor authorSteenburgh, W. James
    contributor authorHoch, Sebastian W.
    contributor authorKnievel, Jason C.
    date accessioned2017-06-09T16:50:04Z
    date available2017-06-09T16:50:04Z
    date copyright2014/08/01
    date issued2014
    identifier issn1558-8424
    identifier otherams-74981.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217265
    description abstracteather Research and Forecasting Model forecasts over the Great Salt Lake Desert erroneously underpredict nocturnal cooling over the sparsely vegetated silt loam soil area of Dugway Proving Ground in northern Utah, with a mean positive bias error in temperature at 2 m AGL of 3.4°C in the early morning [1200 UTC (0500 LST)]. Positive early-morning bias errors also exist in nearby sandy loam soil areas. These biases are related to the improper initialization of soil moisture and parameterization of soil thermal conductivity in silt loam and sandy loam soils. Forecasts of 2-m temperature can be improved by initializing with observed soil moisture and by replacing Johansen's 1975 parameterization of soil thermal conductivity in the Noah land surface model with that proposed by McCumber and Pielke in 1981 for silt loam and sandy loam soils. Case studies illustrate that this change can dramatically reduce nighttime warm biases in 2-m temperature over silt loam and sandy loam soils, with the greatest improvement during periods of low soil moisture. Predicted ground heat flux, soil thermal conductivity, near-surface radiative fluxes, and low-level thermal profiles also more closely match observations. Similar results are anticipated in other dryland regions with analogous soil types, sparse vegetation, and low soil moisture.
    publisherAmerican Meteorological Society
    titleSensitivity of Near-Surface Temperature Forecasts to Soil Properties over a Sparsely Vegetated Dryland Region
    typeJournal Paper
    journal volume53
    journal issue8
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-13-0362.1
    journal fristpage1976
    journal lastpage1995
    treeJournal of Applied Meteorology and Climatology:;2014:;volume( 053 ):;issue: 008
    contenttypeFulltext
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