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

被引:44
作者
Massey, Jeffrey D. [1 ]
Steenburgh, W. James [1 ]
Hoch, Sebastian W. [1 ]
Knievel, Jason C. [2 ]
机构
[1] Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA
[2] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
基金
美国国家科学基金会;
关键词
THERMAL-CONDUCTIVITY; BOUNDARY-LAYER; WATER-CONTENT; ETA-MODEL; PART I; WEATHER FORECASTS; DIURNAL CYCLES; UNITED-STATES; MOISTURE; PARAMETERIZATION;
D O I
10.1175/JAMC-D-13-0362.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Weather 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 2m AGL of 3.4 degrees 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.
引用
收藏
页码:1976 / 1995
页数:20
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