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Yong Chen, Fuzhong Weng, Yong Han, and Quanhua Liu

1. Introduction The development of fast and accurate thermal infrared (IR) radiative transfer (RT) models for clear atmospheric conditions has enabled the direct assimilation of satellite-based radiance measurements in numerical weather prediction (NWP) models. Most fast RT models are based on fixed transmittance coefficients that relate atmospheric conditions to optical properties. One such fast RT model is the Community Radiative Transfer Model (CRTM; Weng et al. 2005 ; Han et al. 2006

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Mark L. Morrissey, Werner E. Cook, and J. Scott Greene

1. Introduction The wind power density (WPD) is required for the estimation of power potential from wind turbines. It is a nonlinear function of the wind speed probability density function (PDF). The wind speed PDF is usually estimated from data and then used as a functional in the WPD distribution function, which can be integrated to obtain the WPD (e.g., Çelik 2003a ). The wind speed PDF has traditionally been estimated using a parametric model applied to wind speed data at turbine height

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B. L. Cheong, R. D. Palmer, and M. Xue

, Krajewski et al. (1993) used a simulation scheme to generate radar-estimated rainfall fields without simulating time series data. Radar measurements, that is, reflectivity and differential reflectivity, were directly derived from a two-dimensional stochastic space–time model of rainfall events and drop size distribution. These radar-derived measurements were then used to estimate rainfall rate. Anagnostou and Krajewski (1997) presented a similar simulation procedure, with the addition of vertical

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Jian Zhang, Carrie Langston, and Kenneth Howard

a background atmospheric temperature profile. The VPRs are derived from volumetric data from WSR-88Ds and are segregated for convective and stratiform precipitation, and the brightband layer information is derived from stratiform VPRs only. The new BBID scheme has been evaluated using about 7 months of WSR-88D data in the CONUS domain. The results indicate that the BBID algorithm can provide physically realistic BB layer information that is consistent with the conceptual model and matches the

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Vincent T. Wood and Luther W. White

:// .] Bluestein, H. B. , Weiss C. C. , and Pazmany A. L. , 2004 : Doppler radar observations of dust devils in Texas . Mon. Wea. Rev. , 132 , 209 – 224 . Burgers, J. M. , 1948 : A mathematical model illustrating the theory of turbulence . Adv. Appl. Mech. , 1 , 197 – 199 . Cantor, B. A. , Kanak K. M. , and Edgett K. S. , 2006 : Mars Orbiter Camera observations of Martian dust devils and their tracks (September 1997 to January 2006) and evaluation of theoretical vortex

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Jing Xu, M. W. Hoffman, B. L. Cheong, and R. D. Palmer

used in a wide range of applications including surveillance, tracking, collision warning, and air defense. As can be seen from the cited work, these advantages are also attractive for atmospheric remote sensing. The present work attempts to verify a simple computational model for CRI simulations of atmospheric observations using a coherent CW noise radar. A CW correlation model for a single scatterer is developed with notation that is compatible with existing CRI simulation approaches. This model

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Lichuan Wu, David Sproson, Erik Sahlée, and Anna Rutgersson

stress are applied to an effective roughness length in numerical models, which improved model performances ( Makin 2005 ; Kudryavtsev and Makin 2011 ; Liu et al. 2011 ; Wu et al. 2015b , 2016 ). To consider the two-way interaction between waves and the atmosphere, a coupled wave–atmospheric model was developed at the European Centre for Medium-Range Weather Forecasts (ECMWF) in the middle of the 1990s ( Janssen 2004 ). In the coupled model, the Integrated Forecasting System (IFS) is coupled with

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Laurent Menut

. Tegen , J. M. Prospero , B. Holben , O. Dubovik , and S. J. Lin , 2001 : Sources and distributions of dust aerosols simulated with the GOCART model . J. Geophys. Res. , 106 , 20 255 – 20 273 , . 10.1029/2000JD000053 Gómez-Navarro , J. J. , C. C. Raible , and S. Dierer , 2015 : Sensitivity of the WRF model to PBL parametrisations and nesting techniques: Evaluation of wind storms over complex terrain . Geosci. Model Dev. , 8 , 3349

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Guang-Zhen Jin, An-Zhou Cao, and Xian-Qing Lv

1. Introduction Internal tides are internal waves at tidal frequency and exist widely in the ocean. Barotropic tides, stratified fluids, and varying topographies are the three factors for internal tide generation. Some theoretical models have been developed to investigate the relationship between internal tides and the three factors. These models played an important role in the study of the internal tidal generation mechanism. However, most of these theoretical models were restricted to two

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Grant Thomas, Richard Cobb, Steven Fiorino, and Michael Hawks

aerosols (models B, D, and F) improve baseline models (models A and E, respectively). Including meteorological data alone (model C) reduces performance from model A in I band, improved performance in J band. Direct sky measurements in both I and J bands were compared to sky radiance simulations derived using NWP and ExPERT atmospheric profiles in LEEDR. Cloudless skies were assumed for all simulations. This assumption appears to be valid at 1345 and 1530 UTC; however, passing clouds were observed in

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