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Author : Anonim
Publisher : Unknown
Page : 156 pages
File Size : 46,9 Mb
Release : 1994
Category : Numerical weather forecasting
ISBN : MINN:31951D03147312I
Author : Anonim
Publisher : Unknown
Page : 139 pages
File Size : 40,9 Mb
Release : 1994
Category : Numerical weather forecasting
ISBN : OCLC:31855313
Author : Donald C. Norquist
Publisher : Unknown
Page : 154 pages
File Size : 50,7 Mb
Release : 1997
Category : Cloud forecasting
ISBN : UCSD:31822009261892
Author : Donald C. Norquist
Publisher : Unknown
Page : 0 pages
File Size : 42,7 Mb
Release : 1997
Category : Cloud forecasting
ISBN : OCLC:38132117
Author : Anonim
Publisher : Unknown
Page : 162 pages
File Size : 47,9 Mb
Release : 2024-06-28
Category : Environmental geology
ISBN : CHI:49284500
Author : Anonim
Publisher : Unknown
Page : 602 pages
File Size : 41,8 Mb
Release : 1995
Category : Aeronautics
ISBN : MINN:30000006324614
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author : David J. Stensrud
Publisher : Cambridge University Press
Page : 408 pages
File Size : 50,5 Mb
Release : 2007-05-03
Category : Science
ISBN : 9780521865401
Contents: 1.
Author : United States. National Weather Service
Publisher : Unknown
Page : 52 pages
File Size : 44,6 Mb
Release : 2024-06-28
Category : Meteorological instruments
ISBN : PSU:000072834633
Author : Haraldur Olafsson,Jian-Wen Bao
Publisher : Elsevier
Page : 366 pages
File Size : 55,9 Mb
Release : 2020-11-25
Category : Computers
ISBN : 9780128157107
Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts. Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts Includes references to climate prediction models to allow applications of these techniques for climate simulations
Author : Chien-Hsiung Yang
Publisher : Unknown
Page : 36 pages
File Size : 46,5 Mb
Release : 1976
Category : Atmospheric circulation
ISBN : UOM:39015095134907
This report lays a logical foundation on which deficiencies of dynamical prediction models can be defined and dealt with on a rational basis. Measures of the quality of performance of dynamical prediction models are suggested, and a procedure with which deficiencies of the models can be diagnosed is proposed. A sample study is used to illustrate the use of the proposed procedure, and the results of the study are presented. (Author).
Author : Anonim
Publisher : Unknown
Page : 722 pages
File Size : 50,6 Mb
Release : 1994
Category : Numerical weather forecasting
ISBN : PSU:000023135970
Author : Kenneth E. Mitchell,Douglas C. Hahn
Publisher : Unknown
Page : 166 pages
File Size : 44,8 Mb
Release : 1989
Category : Cloud forecasting
ISBN : UOM:39015095331750
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.
Author : National Meteorological Center (U.S.)
Publisher : Unknown
Page : 48 pages
File Size : 54,5 Mb
Release : 1971
Category : Meteorological instruments
ISBN : UIUC:30112110768287
Author : Donald C. Norquist
Publisher : Unknown
Page : 168 pages
File Size : 48,9 Mb
Release : 1992
Category : Long-range weather forecasting
ISBN : UOM:39015095311711
Author : National Research Council,Commission on Geosciences, Environment, and Resources,Board on Atmospheric Sciences and Climate
Publisher : National Academies Press
Page : 97 pages
File Size : 41,5 Mb
Release : 2000-09-07
Category : Science
ISBN : 9780309069410
This workshop report examines the capability of the forecast system to efficiently transfer weather and climate research findings into improved operational forecast capabilities. It looks in particular at the Environmental Modeling Center of the National Weather Service and environmental observational satellite programs. Using these examples, the report identifies several shortcomings in the capability to transition from research to operations. Successful transitions from R&D to operational implementation requires (1) understanding of the importance (and risks) of the transition, (2) development and maintenance of appropriate transition plans, (3) adequate resource provision, and (4) continuous feedback (in both directions) between the R&D and operational activities.
