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• W2000370319 startingPage "1696" @default.
• W2000370319 abstract "Abstract Proper partitioning of the surface energy fluxes that drive the evolution of the planetary boundary layer in numerical weather prediction models requires an accurate representation of initial land surface conditions. Unfortunately, soil temperature and moisture observations are unavailable in most areas and routine daily estimates of vegetation coverage and biomass are not easily available. This gap in observational capabilities seriously hampers the evaluation and improvement of land surface parameterizations, since model errors likely relate to improper initial conditions as much as to inaccuracies in the parameterizations. Two unique datasets help to overcome these difficulties. First, 1-km fractional vegetation coverage and leaf area index values can be derived from biweekly maximum normalized difference vegetation index composites obtained from daily observations by the Advanced Very High Resolution Radiometer onboard NOAA satellites. Second, the Oklahoma Mesonet supplies multiple soil temperature and moisture measurements at various soil depths each hour. Combined, these two datasets provide significantly improved initial conditions for a land surface model and allow an evaluation of the accuracy of the land surface model with much greater confidence than previously. Forecasts that both include and neglect these unique land surface observations are used to evaluate the value of these two data sources to land surface initializations. The dense network of surface observations afforded by the Oklahoma Mesonet, including surface flux data derived from special sensors, provides verification of the model results, which indicate that predicted latent heat fluxes still differ from observations by as much as 150 W m−2. This result provides a springboard for assessing parameterization errors within the model. A new empirical parameterization developed using principal-component regression reveals simple relationships between latent heat flux and other surface observations. Periods of very dry conditions observed across Oklahoma are used advantageously to derive a parameterization for evaporation from bare soil. Combining this parameterization with an empirical canopy transpiration scheme yields improved sensible and latent heat flux forecasts and better partitioning of the surface energy budget. Surface temperature and mixing ratio forecasts show improvement when compared with observations." @default.
• W2000370319 created "2016-06-24" @default.
• W2000370319 creator A5015277087 @default.
• W2000370319 creator A5024751783 @default.
• W2000370319 date "2010-08-01" @default.
• W2000370319 modified "2023-10-13" @default.
• W2000370319 title "An Empirical Latent Heat Flux Parameterization for the Noah Land Surface Model" @default.
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• W2000370319 cites W1964997900 @default.
• W2000370319 cites W1966042605 @default.
• W2000370319 cites W1968196505 @default.
• W2000370319 cites W1972950941 @default.
• W2000370319 cites W1977143954 @default.
• W2000370319 cites W1977951106 @default.
• W2000370319 cites W1978514015 @default.
• W2000370319 cites W1990383122 @default.
• W2000370319 cites W1990514821 @default.
• W2000370319 cites W1994655493 @default.
• W2000370319 cites W2002504308 @default.
• W2000370319 cites W2003494518 @default.
• W2000370319 cites W2008505918 @default.
• W2000370319 cites W2014840824 @default.
• W2000370319 cites W2019209778 @default.
• W2000370319 cites W2021782080 @default.
• W2000370319 cites W2022317128 @default.
• W2000370319 cites W2022748583 @default.
• W2000370319 cites W2029940944 @default.
• W2000370319 cites W2032523941 @default.
• W2000370319 cites W2033779901 @default.
• W2000370319 cites W2034776007 @default.
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• W2000370319 cites W2055129332 @default.
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• W2000370319 cites W2057318714 @default.
• W2000370319 cites W2060595951 @default.
• W2000370319 cites W2069313066 @default.
• W2000370319 cites W2069414124 @default.
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• W2000370319 cites W2093424543 @default.
• W2000370319 cites W2098432293 @default.
• W2000370319 cites W2100560964 @default.
• W2000370319 cites W2101225175 @default.
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• W2000370319 doi "https://doi.org/10.1175/2010jamc2180.1" @default.
• W2000370319 hasPublicationYear "2010" @default.
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