Eta Model. Hybrid and Eta Coordinates ground MSL ground Pressure domain Sigma domain  = 0  = 1  = 1 Ptop  = 0.

Slides:



Advertisements
Similar presentations
Weather Research & Forecasting: A General Overview
Advertisements

A NUMERICAL PREDICTION OF LOCAL ATMOSPHERIC PROCESSES A.V.Starchenko Tomsk State University.
WRF Modeling System V2.0 Overview
RAMS/BRAMS Basic equations and some numerical issues.
NEMS/GFS Overview Mark Iredell, Software Team Lead.
1 NMM, ARW in NCEP Operations Pre-WRF NMM at NCEP May 2000: nonhydrostatic option released in upgrade to NCEP’s workstation EtaNCEP’s workstation Eta May.
ICONAM ICOsahedral Non-hydrostatic Atmospheric Model -
NOAA/NWS Change to WRF 13 June What’s Happening? WRF replaces the eta as the NAM –NAM is the North American Mesoscale “timeslot” or “Model Run”
Toward a Real Time Mesoscale Ensemble Kalman Filter Gregory J. Hakim Dept. of Atmospheric Sciences, University of Washington Collaborators: Ryan Torn (UW)
Nesting. Eta Model Hybrid and Eta Coordinates ground MSL ground Pressure domain Sigma domain  = 0  = 1  = 1 Ptop  = 0.
Mesoscale & Microscale Meteorological Division / NCAR ESMF and the Weather Research and Forecast Model John Michalakes, Thomas Henderson Mesoscale and.
Weather Research & Forecasting Model (WRF) Stacey Pensgen ESC 452 – Spring ’06.
1 NGGPS Dynamic Core Requirements Workshop NCEP Future Global Model Requirements and Discussion Mark Iredell, Global Modeling and EMC August 4, 2014.
Advance the understanding and the prediction of mesoscale precipitation systems and to promote closer ties between the research and operational forecasting.
Hydrostatic. HIWPP Hydrostatic Models ModelBy Res. at 40 deg lat Output Freq. Output Res. Vertical Levels NEMS ready Initial Condi- tions Physics GFS.
WRF Outline Overview and Status WRF Q&A
WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.
Nesting. Eta Model Eta Coordinate And Step Mountains MSL ground  = 1 Ptop  = 0.
1 Weather Research and Forecasting (WRF) Modeling System A Brief Overview WMO, Training Course, September 2011 Alanya, Turkey Dr Meral Demirtaş Turkish.
Hurricane Model Transitions to Operations at NCEP/EMC 2007 IHC Conference, New Orleans  Robert Tuleya*, V. Tallapragada,  Y. Kwon, Q. Liu, W. O’Connor,
___________________________________________________________________________WRF Basics ___________________________________________________Community Modeling.
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
Development of WRF-CMAQ Interface Processor (WCIP)
– Equations / variables – Vertical coordinate – Terrain representation – Grid staggering – Time integration scheme – Advection scheme – Boundary conditions.
Zavisa Janjic 1 NMM Dynamic Core and HWRF Zavisa Janjic and Matt Pyle NOAA/NWS/NCEP/EMC, NCWCP, College Park, MD.
WRF Modeling System Overview
Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.
– Equations / variables – Vertical coordinate – Terrain representation – Grid staggering – Time integration scheme – Advection scheme – Boundary conditions.
Linkage between WRF/NMM and CMAQ Daewon Byun (PI) C.K. Song & P. Percell University of Houston Institute for Multidimensional Air Quality Studies (IMAQS)
Comparison of convective boundary layer velocity spectra calculated from large eddy simulation and WRF model data Jeremy A. Gibbs and Evgeni Fedorovich.
Zavisa Janjic, Omaha Further development of a model for a broad range of spatial and temporal scales Zavisa Janjic.
Non-hydrostatic Numerical Model Study on Tropical Mesoscale System During SCOUT DARWIN Campaign Wuhu Feng 1 and M.P. Chipperfield 1 IAS, School of Earth.
Higher Resolution Operational Models. Operational Mesoscale Model History Early: LFM, NGM (history) Eta (mainly history) MM5: Still used by some, but.
Joe Klemp National Center for Atmospheric Research Boulder, Colorado Convection Resolving NWP using WRF.
Experiences with 0-36 h Explicit Convective Forecasting with the WRF-ARW Model Morris Weisman (Wei Wang, Chris Davis) NCAR/MMM WSN05 September 8, 2005.
The Case for Using High-Order Numerical Methods in Mesoscale and Cloudscale NWP Bill Skamarock NCAR/MMM.
Gouge – Navy slang for the bare essential knowledge to get by.
Mesoscale & Microscale Meteorological Division / NCAR WRF Modeling System Overview Jimy Dudhia.
WRF-ARW Basics Fundamentals of Numerical Weather Prediction
3 rd Annual WRF Users Workshop Promote closer ties between research and operations Develop an advanced mesoscale forecast and assimilation system   Design.
Higher Resolution Operational Models. Major U.S. High-Resolution Mesoscale Models (all non-hydrostatic ) WRF-ARW (developed at NCAR) NMM-B (developed.
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
Lecture 5 Weather Maps and Models Chapters 5 and Chapter 6 Homework Due Friday, October 3, 2014 TYU Ch 6: 1,2,5,7,11,14,17,18,20; TYPSS Ch 6: 2 TYU Ch.
Current and Future Initialization of WRF Land States at NCEP Ken Mitchell NCEP/EMC WRF Land Working Group Workshop 18 June 2003.
The Eta Model: Design, History, Performance, What Lessons have we Learned? Fedor Mesinger NCEP/EMC, and UCAR, Camp Springs, MD;
1 The Nonhydrostatic Icosahedral (NIM) Model: Description and Potential Use in Climate Prediction Alexander E. MacDonald Earth System Research Lab Climate.
Jason KnievelATEC Forecasters’ Conference, July and August Numerical Weather Prediction (NWP) and the WRF Model Jason Knievel Material contributed.
Weather Research and Forecast (WRF) Modeling System
1 National Environmental Modeling System (NEMS) Status M. Iredell and EMC Staff.
1 2. Overview of WRF Program Status WRF Executive Oversight Board Meeting 2 30 July 2004.
WRF Software Development and Performance John Michalakes, NCAR NCAR: W. Skamarock, J. Dudhia, D. Gill, A. Bourgeois, W. Wang, C. Deluca, R. Loft NOAA/NCEP:
Aerospace Engineering N. C. State University Air Terminal Wake Vortex Simulation D. Scott McRae, Hassan A. Hassan N.C. State University 4 September 2003.
Shu-Hua Chen University of California, Davis eatheresearch & orecasting
Mass Coordinate WRF Dynamical Core - Eulerian geometric height coordinate (z) core (in framework, parallel, tested in idealized, NWP applications) - Eulerian.
NOAA Global Modeling Workshop January 2006NOAA/ESRL FIM Contribution toward future NOAA global modeling system Developed at ESRL, collaboration so.
452 NWP Major Steps in the Forecast Process Data Collection Quality Control Data Assimilation Model Integration Post Processing of Model Forecasts.
4 th JCSDA Science Workshop, 31 May – 1 June 2006 Broadband Satellite-Like (Infrared) Cloud Products from NCEP Models and Preliminary Cloud Verification.
Model and Data Hierarchies for Simulating and Understanding Climate Marco A. Giorgetta Demands on next generation dynamical solvers.
Mesoscale Modeling Jon Schrage Summer WRF-“Weather Research and Forecasting” Developed by: – National Center for Atmospheric Research (NCAR) – the.
Hurricane Model Transitions to Operations at NCEP/EMC 2006 IHC Conference, Mobile, AL Robert Tuleya, S. Gopalkrishnan, Weixing Shen, N. Surgi, and H.Pan.
Higher Resolution Operational Models
452 NWP Major Steps in the Forecast Process Data Collection Quality Control Data Assimilation Model Integration Post Processing of Model Forecasts.
Northwest Modeling Consortium
452 NWP 2017.
Development of nonhydrostatic models at the JMA
Grid Point Models Surface Data.
Update on the Northwest Regional Modeling System 2013
Update on the Northwest Regional Modeling System 2017
Vertical Coordinates and Nesting
452 NWP 2019.
Presentation transcript:

Eta Model

Hybrid and Eta Coordinates ground MSL ground Pressure domain Sigma domain  = 0  = 1  = 1 Ptop  = 0

Horizontal resolution of 12 km 12-km terrain

WRF Model Family A Tale of Two Dynamical Cores

Why WRF? An attempt to create a national mesoscale prediction system to be used by both operational and research communities. A new, state-of-the-art model that has good conservation characteristics (e.g., conservation of mass) and good numerics (so not too much numerical diffusion) A model that could parallelize well on many processors and easy to modify. Plug-compatible physics to foster improvements in model physics. Designed for grid spacings of 1-10 km

Two WRF Cores ARW (Advanced Research WRF) (aka Mass Core)developed at NCAR Non-hydrostatic Numerical Model (NMM) Core developed at NCEP Both work under the WRF IO Infrastructure NMM ARW

The NCAR ARW Core Model: (See:  Terrain following hydrostatic mass (p) vertical coordinate, arbitrary vertical resolution  Arakawa C-grid, two-way nesting, any ratio  3 rd order Runge-Kutta time-split differencing  Conserves mass, entropy and scalars using up to 6 th order spatial differencing equ for fluxes (5 th order upwind diff. is default)  NCAR physics package ( converted from MM5 and Eta ), NOAH unified land-surface model, NCEP physics adapted too  Replacement for MM5

The NCEP Nonhydrostatic Mesoscale Model: NMM (Janjic et al. 2001)  Hybrid: sigma  pressure vertical coord.  Arakawa E-grid, 3:1 nesting ratio  Adams-Bashforth time differencing, time splitting  Conserves kinetic energy, enstrophy and momentum using 2 nd order differencing equation  Separate set of equations for hydrostatic versus non-hydrostatic terms  Modified Eta physics, Noah unified land-surface model, NCAR physics adapted too  Parallelized within WRF infrastructure

WRF Modeling System Obs Data, Analyses Post Processors, Verification WRF Software Infrastructure Dynamic Cores Mass Core NMM Core … Standard Physics Interface Physics Packages Static Initialization 3DVAR Data Assimilation

WRF Hierarchical Software Architecture Top-level “Driver” layer –Isolates computer architecture concerns –Manages execution over multiple nested domains –Provides top level control over parallelism patch-decomposition inter-processor communication shared-memory parallelism –Controls Input/Output “Mediation” Layer –Specific calls to parallel mechanisms Low-Level “Model” layer –Performs actual model computations –Tile-callable –Scientists insulated from parallelism –General, fully reusable Mediation Layer wrf initial_configalloc_and_configureinit_domainintegrate solve_interface solve Model Layer Driver Layer prep filter big_step decouple advance uv recouple scalars physics advance w

The National Weather Service dropped Eta ( old NAM-North American mesoscale run) in June 2006 and replace by WRF NMM (new NAM). The Air Force is now switching from MM5 to WRF ARW. Most universities using WRF ARW

WRF-NMM Same domain as Eta Sixty levels like Eta Essentially same physics as ETA Much better in terrain…doesn’t share the eta’s problems.