'Grid scale' presentation slideshows

WRAP/RMC Fire Sensitivity Modeling Project

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An Earth System Model based on the ECMWF Integrated Forecasting System

An Earth System Model based on the ECMWF Integrated Forecasting System. IFS-model What is the IFS? Governing equations Dynamics and physics Numerical implementation Overview of the code. What is the IFS?. Total software package at ECMWF: Data-assimilation to get initial condition

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Model Parameterizations: How do they affect NWP rainfall forecasts?

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Welcome To This Presentation

Welcome To This Presentation. Downscaling and Modeling the Climate of Blue Nile River Basin-Ethiopia. By: Netsanet Zelalem Supervisors : Prof. Dr. rer.nat.Manfred Koch, Kassel University Dr. Solomon Seyoum , IWMI, Ethiopia Nov9/2012

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469 views • 34 slides

IMPACTS OF TURBULENCE ON HURRICANES (ONR-BAA-09-012)

IMPACTS OF TURBULENCE ON HURRICANES (ONR-BAA-09-012). PI: Yongsheng Chen, York University, Toronto, Ontario, Canada Co-PIs: George H. Bryan and Richard Rotunno, National Center for Atmospheric Research, Boulder, Colorado, USA. NOPP Progress Report February 25, 2011. Agenda. Background

429 views • 32 slides

Probabilistic Lightning Forecasts Using Deterministic Data

Probabilistic Lightning Forecasts Using Deterministic Data. Evan Kuchera and Scott Rentschler 16 Aug 2007. Motivation. Air Force operators require skillful and objective probabilistic weather information to maximize efficiency and minimize loss

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Sensitivity to convective parameterization in regional climate models

Sensitivity to convective parameterization in regional climate models. Raymond W. Arritt Iowa State University, Ames, Iowa USA. Acknowledgments. Zhiwei Yang PIRCS organizing team: William J. Gutowski, Jr., Eugene S. Takle, Zaitao Pan PIRCS Participants funding from NOAA, EPRI, NSF.

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SUB-GRID SCALE GRAVITY WAVE DRAG AND MOUNTAIN BLOCKING AT NCEP

SUB-GRID SCALE GRAVITY WAVE DRAG AND MOUNTAIN BLOCKING AT NCEP. Jordan C. Alpert. Outline. Mountain Blocking Orographic Gravity Wave Drag Convective Gravity Wave Drag. Correction of model bias from sub-grid scale parameterization is an on-going process.

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Grid Point Models

Grid Point Models. Surface Data. Models: Types. Spectral Models (AVN) Data is not represented on grid Data represented by wave functions Resolution is a function of # waves used in model Computational errors generally less Not well-suited for mesoscale modeling. Models: Types.

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Matthias Raschendorfer DWD

About the results of UTCS Tasks (ii)a,c and (iii)a. As far as attended by. Matthias Raschendorfer DWD. Offenbach 2009. COSMO. Matthias Raschendorfer. Basic scheme of advanced SC-diagnostics:. Identical except horizontla operations and w-equation. Forced correction run with SC version.

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Modeling circulation and ice in the Chukchi and Beaufort Seas

Modeling circulation and ice in the Chukchi and Beaufort Seas. Seth Danielson, UAF Enrique Curchitser, Rutgers Kate Hedstrom , UAF Tom Weingartner, UAF. Colors: Sea Surface Temperature Speckles: Ice. Outline. Description of model Some model-data comparisons

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The Grid Observatory: goals and challenges

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Atmospheric Modeling

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292 views • 17 slides

Can-Can Array

PP2. USP2. USP1. T10. PP1. Flop-Up. Drop Out Shoot. Drop Out Shoot. Drop Out Penalty. Drop Out Penalty. Out & Back NS. Flop-Up. Flop-Up. Out & Back Target. Plate Flop-Up. Plate Flop-Up. Flop-Up. Can-Can Array. Free Fire Zone.

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Utilizing the Mosaic Approach to Estimate Deposition Velocities in the CMAQ Model

JEHN-YIH JUANG , Donna Schwede, and Jon Pleim Atmospheric Sciences Modeling Division, U.S. EPA-NOAA Research Triangle Park, NC 2007 Annual CMAS Conference, Chapel Hill, NC October 1 st -3 rd ,2007. Utilizing the Mosaic Approach to Estimate Deposition Velocities in the CMAQ Model.

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Department of Mechanical and Manufacturing Engineering Loughborugh University

EULAG 2012. APPLICATION OF LES TECHNIQUE FOR THE CALCULATION OF INTERNAL COMBUSTION ENGINE FLOWS. Ranasinghe R.A.C.P . Malalasekera W. Clarke A. Department of Mechanical and Manufacturing Engineering Loughborugh University. LES FOR IC ENGINE SIMULATIONS.

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www.albatern.co.uk

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COST 728

COST 728 Enhancing Meso-Scale Meteorological Modelling Capabilities for Air Pollution and Dispersion Applications. COST 728. Enhancing Meso-Scale Meteorological Modelling Capabilities for Air Pollution and Dispersion Applications Objectives:

179 views • 5 slides