Refinement and Testing of the Moist Convection Parameterization in the GL Global Spectral Model

Refinement and Testing of the Moist Convection Parameterization in the GL Global Spectral Model PDF Author: Donald C. Norquist
Publisher:
ISBN:
Category : Convection (Meteorology)
Languages : en
Pages : 123

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Refinement and Testing of the Moist Convection Parameterization in the GL Global Spectral Model

Refinement and Testing of the Moist Convection Parameterization in the GL Global Spectral Model PDF Author: Donald C. Norquist
Publisher:
ISBN:
Category : Convection (Meteorology)
Languages : en
Pages : 123

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Book Description


Phillips Laboratory Global Spectral Numerical Weather Prediction Model

Phillips Laboratory Global Spectral Numerical Weather Prediction Model PDF Author: Donald C. Norquist
Publisher:
ISBN:
Category : Long-range weather forecasting
Languages : en
Pages : 168

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Environmental Research Papers

Environmental Research Papers PDF Author:
Publisher:
ISBN:
Category : Environmental geology
Languages : en
Pages : 178

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Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 284

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Performance Statistics Bulletin

Performance Statistics Bulletin PDF Author:
Publisher:
ISBN:
Category : Ionospheric radio wave propagation
Languages : en
Pages : 522

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Systematic Humidity Errors in Numerical Weather Prediction Models

Systematic Humidity Errors in Numerical Weather Prediction Models PDF Author: Donald C. Norquist
Publisher:
ISBN:
Category : Humidity
Languages : en
Pages : 44

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Monthly Weather Review

Monthly Weather Review PDF Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 1146

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Development of a Cloud Forecast Scheme for the GL Baseline Global Spectral Model

Development of a Cloud Forecast Scheme for the GL Baseline Global Spectral Model PDF Author: Kenneth E. Mitchell
Publisher:
ISBN:
Category : Cloud forecasting
Languages : en
Pages : 166

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Book Description
Using forecast relative humidity (RH) from a global model, several pre-existing diagnostic RH-to-cloud schemes were tested to forecast global fractional cloud cover in a postprocessor format. Since none of the schemes tested provided a superior cloud forecast when compared to Air Force Global Weather Central's (AFGWC) operational 5LAYER cloud forecasts, a new RH-to-cloud scheme was developed by relating cumulative frequencies of forecast RH to cumulative frequencies of analyzed cloud cover from the AFGWC RTNEPH cloud analysis. This scheme creates a series of forecast time-dependent RH-to-cloud curves that can be temporally updated to account for changes in season, cloud analysis, or forecast model, The global model used was a spectral-type developed by the Geophysics Laboratory (GL) using parameterized diabatic physics presently incorporated in the operational GSM (global spectral model) at AFGWC.

Meteorological and Geoastrophysical Abstracts

Meteorological and Geoastrophysical Abstracts PDF Author:
Publisher:
ISBN:
Category : Geophysics
Languages : en
Pages : 452

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An Introduction to Global Spectral Modeling

An Introduction to Global Spectral Modeling PDF Author: T.N. Krishnamurti
Publisher: Springer Science & Business Media
ISBN: 0387329625
Category : Science
Languages : en
Pages : 328

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Book Description
This is an introductory textbook on global spectral modeling designed for senior-level undergraduates and possibly for first-year graduate students. This text starts with an introduction to elementary finite-difference methods and moves on towards the gradual description of sophisticated dynamical and physical models in spherical coordinates. Computational aspects of the spectral transform method, the planetary boundary layer physics, the physics of precipitation processes in large-scale models, the radiative transfer including effects of diagnostic clouds and diurnal cycle, the surface energy balance over land and ocean, and the treatment of mountains are some issues that are addressed. The topic of model initialization includes the treatment of normal modes and physical processes. A concluding chapter covers the spectral energetics as a diagnostic tool for model evaluation. This revised second edition of the text also includes three additional chapters. Chapter 11 deals with the formulation of a regional spectral model for mesoscale modeling which uses a double Fourier expansion of data and model equations for its transform. Chapter 12 deals with ensemble modeling. This is a new and important area for numerical weather and climate prediction. Finally, yet another new area that has to do with adaptive observational strategies is included as Chapter 13. It foretells where data deficiencies may reside in model from an exploratory ensemble run of experiments and the spread of such forecasts.