WRF Modeling System Overview

Size: px
Start display at page:

Download "WRF Modeling System Overview"

Transcription

1 WRF Modeling System Overview Louisa Nance National Center for Atmospheric Research (NCAR) Developmental Testbed Center (DTC) 27 February

2 Outline What is WRF? WRF Modeling System WRF Software Design WRF Dynamic Cores WRF Physics Overview of WRF Modeling System Components 2

3 What is WRF? Weather Research and Forecasting Model Freely available community model Development led by NCAR/MMM, NOAA/ESRL/GSD and NOAA/NCEP/EMC with partnerships at AFWA, FAA, NRL and collaborations with universities and other government agencies Includes research and operational models Highly modular, single source code with plug-compatible modules Two dynamic cores Multiple physics package options State-of-the-art, transportable, and efficient in a massively parallel computing environment Designed primarily for high-resolution (nonhydrostatic) applications 3

4 Original WRF Modeling System WRF Terrestrial Data SI Current release WRFV2.2 Dynamic Cores ARW NMM Post Processing Utilities Gridded Data: NAM, GFS, RUC, NNRP, AGRMET(soil) Standard Physics Interface Physics Packages WRF Software Infrastructure 4

5 New WRF Modeling System WRF Terrestrial Data WPS Dynamic Cores ARW NMM Post Processing Utilities Gridded Data: NAM, GFS, RUC, NNRP, AGRMET(soil) Standard Physics Interface Physics Packages WPP WRF Software Infrastructure 5

6 WRF Software Design Modular, hierarchical design Plug compatible physics, dynamic cores Parallelism on distributedand shared memory processors Efficient scaling on foreseeable parallel platforms Integration into Earth System Model Framework (ESMF) Driver Layer Mediation Layer Model Layer WRF Software will be explained in detail by Dave Gill. 6

7 WRF Dynamic Cores Advance Research WRF (ARW) developed by NCAR/MMM Terrain-following hydrostatic pressure vertical coordinate Arakawa C-grid 3 rd order Runge-Kutta split-explicit time differencing, 5 th or 6 th order differencing for advection Conserves mass, momentum, dry entropy, and scalars using flux form prognostic equations Non-hydrostatic Meso-Scale Model (NMM) developed by NOAA/NCEP/EMC Terrain-following hybrid (sigma-pressure) vertical coordinate Arakawa E-grid Explicit time differencing Conserves mass, kinetic energy, enstrophy & momentum, as well as a number of additional 1 st order and quadratic quantities using 2 nd order finite differencing NMM dynamic core will be presented in detail by Zavisa Janjic. 7

8 WRF Physics Plug-compatible interface defined for physics modules NCEP s operationally used physics options for WRF-NMM: Microphysics: Ferrier Cumulus Convection: Betts-Miller-Janjic Shortwave Radiation: GFDL Longwave Radiation: GFDL Lateral diffusion: Smagorinsky PBL, free atmosphere: Mellor-Yamada-Janjic Surface Layer: Janjic Scheme Land-Surface: 4-layer soil model Physics options will be discussed in detail by Jimy Dudhia. 8

9 WRF Pre-processing System (WPS) Defines simulation domain area Produces terrain, landuse, soil type etc on the simulation domain ( static fields) De-gribs GRIB files for meteorological data (u, v, T, q, sfc pressure, soil data, snow data, SST etc) Interpolates meteorological data to WRF grid (horizontally) WPS will be presented in detail by Dave Gill. 9

10 WRF Model Select dynamic core prior to build - environment settings Select physics options at run-time - namelist (exception running GFDL radiation w/ microphysics other than Ferrier) Two programs real_nmm.exe: Converts meteorological fields to WRF model variables Performs vertical interpolation to model levels (new w/ WPS) Creates initial and lateral boundary condition files Model initialization will be presented in detail by Matthew Pyle. wrf.exe: Numerical integration program Single domain or one-way static nested domains How to set-up and run WRF will be presented in detail by Jamie Wolff Namelist options will be presented in detail by Ligia Bernardet Nesting will be presented in detail by Matt Pyle 10

11 WRF Post Processor (WPP) Processes output from NMM & ARW De-staggers variables Interpolates to pressure levels and user definedgrid Outputs in standard GRIB format, which can be read by most graphical packages Scripts available for GEMPAK and GrADS visualization packages. WPP will be presented in detail by Hui-Ya Chuang. 11

12 Software Requirements FORTRAN 90/95 compiler (Preferably PGI for LINUX systems) C compiler Perl netcdf library Public domain mpich to run WRF model w/ MPI 12

13 Available by User Support WRF-NMM Users page: WRF software download Release updates Documentation Copies of tutorial presentations Links to useful sites 13

14 Tutorial Schedule Lectures: Tue., Wed., Thu., Fri. (morning) Practical Sessions: Wed., Thu., Fri afternoon (optional) Acknowledgements: Thanks to earlier presentations of NCAR/MMM for providing an excellent starting point for this talk and others to come during this tutorial. 14

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Wei Wang & Jimy Dudhia Nansha, Guangdong, China December 2015 What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared

More information

Weather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004

Weather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004 Weather Research and Forecasting Model Melissa Goering Glen Sampson ATMO 595E November 18, 2004 Outline What does WRF model do? WRF Standard Initialization WRF Dynamics Conservation Equations Grid staggering

More information

Description of. Jimy Dudhia Dave Gill. Bill Skamarock. WPS d1 output. WPS d2 output Real and WRF. real.exe General Functions.

Description of. Jimy Dudhia Dave Gill. Bill Skamarock. WPS d1 output. WPS d2 output Real and WRF. real.exe General Functions. WPS d1 output WPS d2 output Real and WRF Description of real.exe General Functions Jimy Dudhia Dave Gill wrf d01 input wrf d01 bdy wrf d02 input Bill Skamarock wrf.exe Real program in a nutshell Function

More information

NCEP s UNIFIED POST PROCESSOR (UPP) 2018 HWRF Tutorial

NCEP s UNIFIED POST PROCESSOR (UPP) 2018 HWRF Tutorial NCEP s UNIFIED POST PROCESSOR (UPP) Hui-Ya Chuang NOAA/NCEP/EMC 2018 HWRF Tutorial 1 Outline Overview Components and Functions Sample fields generated Running unipost Controlling output generation Running

More information

Regional Scale Modeling and Numerical Weather Prediction

Regional Scale Modeling and Numerical Weather Prediction Regional Scale Modeling and Numerical Weather Prediction Jimy Dudhia NCAR/MMM Mesoscale & Microscale Meteorological Division / NCAR Overview of talk WRF Modeling System Overview WRF Model Dynamics Physics

More information

The Developmental Testbed Center (DTC) Steve Koch, NOAA/FSL

The Developmental Testbed Center (DTC) Steve Koch, NOAA/FSL The Developmental Testbed Center (DTC) Steve Koch, NOAA/FSL A facility where the NWP research and operational communities interact to accelerate testing and evaluation of new models and techniques for

More information

GSI DATA ASSIMILATION SYSTEM: COMMUNITY SUPPORT AND PRELIMINARY TESTING RESULTS

GSI DATA ASSIMILATION SYSTEM: COMMUNITY SUPPORT AND PRELIMINARY TESTING RESULTS 6A.2 GSI DATA ASSIMILATION SYSTEM: COMMUNITY SUPPORT AND PRELIMINARY TESTING RESULTS Hui Shao *, Ming Hu, Kyungjeen Park, Kathryn Crosby Hans Huang, Louisa Nance, Bill Kuo NCAR, Boulder, CO and John Derber,

More information

NCEP s WRF POST PROCESSOR. Hui-Ya Chuang

NCEP s WRF POST PROCESSOR. Hui-Ya Chuang NCEP s WRF POST PROCESSOR Hui-Ya Chuang Outline Overview Sample fields generated by WRF post package Derivation of commonly used fields Break Installation Controlling what to output Visualization Introduction

More information

Hui-Ya Chuang. Presented by Matthew Pyle

Hui-Ya Chuang. Presented by Matthew Pyle Hui-Ya Chuang (Hui-Ya.Chuang@noaa.gov) Presented by Matthew Pyle (Matthew.Pyle@noaa.gov) Overview Components and Functions Sample fields generated Installation Running unipost Controlling output generation

More information

The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science

The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science Outline Basic Dynamical Equations Numerical Methods Initialization

More information

The WRF NMM Core. Zavisa Janjic Talk modified and presented by Matthew Pyle

The WRF NMM Core. Zavisa Janjic Talk modified and presented by Matthew Pyle The WRF NMM Core Zavisa Janjic (Zavisa.Janjic@noaa.gov) Talk modified and presented by Matthew Pyle (Matthew.Pyle@noaa.gov) NMM Dynamic Solver Basic Principles Equations / Variables Model Integration Horizontal

More information

WRF Reference Configurations. WRF Code

WRF Reference Configurations. WRF Code WRF Reference Configurations Jamie Wolff 1%*, Louisa Nance 1%, Ligia Bernardet 2&%, Barbara Brown 1% 1 National Center for Atmospheric Research, Boulder, CO 2 NOAA Earth System Research Laboratory, Boulder,

More information

Transition of Research to Operations

Transition of Research to Operations Transition of Research to Operations Ligia Bernardet Shaowu Bao, Mrinal Biswas, Tim Brown, Don Stark, Laurie Carson http://www.dtcenter.org/hurrwrf/users External collaborators: NOAA Environmental Modeling

More information

THE WEATHER RESEARCH AND FORECAST MODEL VERSION 2.0

THE WEATHER RESEARCH AND FORECAST MODEL VERSION 2.0 THE WEATHER RESEARCH AND FORECAST MODEL VERSION 2.0 J. MICHALAKES, J. DUDHIA, D. GILL J. KLEMP, W. SKAMAROCK, W. WANG Mesoscale and Microscale Meteorology National Center for Atmospheric Research Boulder,

More information

HWRF Dynamics The WRF-NMM

HWRF Dynamics The WRF-NMM HWRF Dynamics The WRF-NMM Zavisa Janjic Creator of the NMM Samuel Trahan - Presenter Matt Pyle NMM Dynamic Solver Basic Principles Equations / Variables Model Integration Horizontal Grid Spatial Discretization

More information

Weather Research and Forecasting Model

Weather Research and Forecasting Model Weather Research and Forecasting Model Goals: Develop an advanced mesoscale forecast and assimilation system, and accelerate research advances into operations 36h WRF Precip Forecast Collaborative partnership,

More information

Performance Results for the Weather Research and Forecast (WRF) Model on AHPCRC HPC Systems

Performance Results for the Weather Research and Forecast (WRF) Model on AHPCRC HPC Systems Performance Results for the Weather Research and Forecast (WRF) Model on AHPCRC HPC Systems Tony Meys, Army High Performance Computing Research Center / Network Computing Services, Inc. ABSTRACT: The Army

More information

The Weather Research and

The Weather Research and The Weather Research and Forecasting (WRF) Model Y.V. Rama Rao India Meteorological Department New Delhi Preamble Weather Prediction an Initial value problem Hence, Earth Observing System (EOS) involving

More information

Operational weather Prediction(SEECOP)

Operational weather Prediction(SEECOP) South-East European Consortium for Operational weather Prediction(SEECOP) S. Nickovic Republic Hydrometeorological Service of Serbia (RHMSS), Belgrade, Serbia 37 th EWGLAM and 22 th SRNWP Meeting, 5-8

More information

National Scientific Library at Tbilisi State University

National Scientific Library at Tbilisi State University National Scientific Library at Tbilisi State University Setup and run WRF-Chem model over the south Caucasus domain George Mikuchadze WRF-Chem WRF-Chem is the Weather Research and Forecasting (WRF) model

More information

User's Guide for the NMM Core of the Weather Research and Forecast (WRF) Modeling System Version 3. Chapter 4: WRF-NMM Initialization

User's Guide for the NMM Core of the Weather Research and Forecast (WRF) Modeling System Version 3. Chapter 4: WRF-NMM Initialization User's Guide for the NMM Core of the Weather Research and Forecast (WRF) Modeling System Version 3 Table of Contents Chapter 4: WRF-NMM Initialization Introduction Initialization for Real Data Cases Running

More information

HWRF Ocean: MPIPOM-TC

HWRF Ocean: MPIPOM-TC HWRF v3.7a Tutorial Nanjing, China, December 2, 2015 HWRF Ocean: MPIPOM-TC Ligia Bernardet NOAA SRL Global Systems Division, Boulder CO University of Colorado CIRS, Boulder CO Acknowledgement Richard Yablonsky

More information

Performance of WRF using UPC

Performance of WRF using UPC Performance of WRF using UPC Hee-Sik Kim and Jong-Gwan Do * Cray Korea ABSTRACT: The Weather Research and Forecasting (WRF) model is a next-generation mesoscale numerical weather prediction system. We

More information

The Developmental Testbed Center: Update on Data Assimilation System Testing and Community Support

The Developmental Testbed Center: Update on Data Assimilation System Testing and Community Support 93rd AMS Annual Meeting/17th IOAS-AOLS/3rd Conference on Transition of Research to Operations, Austin, TX, Jan 6-10, 2013 The Developmental Testbed Center: Update on Data Assimilation System Testing and

More information

THE DEVELOPMENTAL TESTBED CENTER WINTER FORECASTING EXPERIMENT

THE DEVELOPMENTAL TESTBED CENTER WINTER FORECASTING EXPERIMENT 7.1 THE DEVELOPMENTAL TESTBED CENTER WINTER FORECASTING EXPERIMENT Ligia R. Bernardet 1+2&, Louisa Nance 2+3, Hui-Ya Chuang 4, Andrew Loughe 1+2+5, Meral Demirtas 2+3, Steven Koch 1+2 and Robert Gall 2+3

More information

P1.89 COMPARISON OF IMPACTS OF WRF DYNAMIC CORE, PHYSICS PACKAGE, AND INITIAL CONDITIONS ON WARM SEASON RAINFALL FORECASTS

P1.89 COMPARISON OF IMPACTS OF WRF DYNAMIC CORE, PHYSICS PACKAGE, AND INITIAL CONDITIONS ON WARM SEASON RAINFALL FORECASTS P1.89 COMPARISON OF IMPACTS OF WRF DYNAMIC CORE, PHYSICS PACKAGE, AND INITIAL CONDITIONS ON WARM SEASON RAINFALL FORECASTS William A. Gallus, Jr. Iowa State University, Ames, Iowa 1. INTRODUCTION A series

More information

Egyptian Meteorological Authority Cairo Numerical Weather prediction centre

Egyptian Meteorological Authority Cairo Numerical Weather prediction centre JOINT WMO TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA PROCESSING AND FORECASTING SYSTEM AND NUMERICAL WEATHER PREDICTION RESEARCH ACTIVITIES FOR 2016 Egyptian Meteorological Authority Cairo Numerical

More information

5.3 TESTING AND EVALUATION OF THE GSI DATA ASSIMILATION SYSTEM

5.3 TESTING AND EVALUATION OF THE GSI DATA ASSIMILATION SYSTEM 5.3 TESTING AND EVALUATION OF THE GSI DATA ASSIMILATION SYSTEM Kathryn M Newman*, C. Zhou, H. Shao, X.Y. Huang, M. Hu National Center for Atmospheric Research, Boulder, CO Developmental Testbed Center

More information

Convection-Resolving NWP with WRF. Section coordinator Ming Xue University of Oklahoma

Convection-Resolving NWP with WRF. Section coordinator Ming Xue University of Oklahoma Convection-Resolving NWP with WRF Section coordinator Ming Xue University of Oklahoma Convection-resolving NWP Is NWP that explicitly treats moist convective systems ranging from organized MCSs to individual

More information

Hawaiian Atmospheric Forecasting Utilizing the Weather Research and Forecast Model ABSTRACT

Hawaiian Atmospheric Forecasting Utilizing the Weather Research and Forecast Model ABSTRACT Hawaiian Atmospheric Forecasting Utilizing the Weather Research and Forecast Model Kevin P. Roe Maui High Performance Computing Center, Kihei HI ABSTRACT The Hawaiian Islands consist of large terrain changes

More information

The role of testbeds in NOAA for transitioning NWP research to operations

The role of testbeds in NOAA for transitioning NWP research to operations ECMWF Workshop on Operational Systems November 18, 2013 The role of testbeds in NOAA for transitioning NWP research to operations Ligia Bernardet 1* and Zoltan Toth 1 1 NOAA ESRL Global Systems Division,

More information

COSMO / CLM Training Course

COSMO / CLM Training Course COSMO / CLM Training Course DWD and the CLM-Community DWD Training and Conference Center (BTZ) in Langen 02-06 March 2009 Introduction The COSMO-model together with the preprocessing package is a state

More information

HMON (HNMMB): Development of a new Hurricane model for NWS/NCEP operations

HMON (HNMMB): Development of a new Hurricane model for NWS/NCEP operations 1 HMON (HNMMB): Development of a new Hurricane model for NWS/NCEP operations Avichal Mehra, EMC Hurricane and Mesoscale Teams Environmental Modeling Center NOAA / NWS / NCEP HMON: A New Operational Hurricane

More information

Challenges and Opportunities in Modeling of the Global Atmosphere

Challenges and Opportunities in Modeling of the Global Atmosphere Challenges and Opportunities in Modeling of the Global Atmosphere Zavisa Janjic, Vladimir Djurdjevic, Ratko Vasic, and Tom Black NOAA/NCEP/EMC, College Park, MD 20740, U.S.A. (Email: zavisa.janjic@noaa.gov)

More information

Testing and Evaluation of GSI Hybrid Data Assimilation for Basin-scale HWRF: Lessons We Learned

Testing and Evaluation of GSI Hybrid Data Assimilation for Basin-scale HWRF: Lessons We Learned 4th NOAA Testbeds & Proving Ground Workshop, College Park, MD, April 2-4, 2013 Testing and Evaluation of GSI Hybrid Data Assimilation for Basin-scale HWRF: Lessons We Learned Hui Shao1, Chunhua Zhou1,

More information

Enabling Multi-Scale Simulations in WRF Through Vertical Grid Nesting

Enabling Multi-Scale Simulations in WRF Through Vertical Grid Nesting 2 1 S T S Y M P O S I U M O N B O U N D A R Y L A Y E R S A N D T U R B U L E N C E Enabling Multi-Scale Simulations in WRF Through Vertical Grid Nesting DAVID J. WIERSEMA University of California, Berkeley

More information

WRF Pre-Processing (WPS)

WRF Pre-Processing (WPS) NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this work is partially supported by the Willis Research Network and the Research Partnership to Secure

More information

Overview of HFIP FY10 activities and results

Overview of HFIP FY10 activities and results Overview of HFIP FY10 activities and results Bob Gall HFIP Annual Review Meeting Miami Nov 9, 2010 Outline In this presentation I will show a few preliminary results from the summer program. More detail

More information

6.1 WEATHER RESEARCH AND FORECASTING MODEL WIND SENSITIVITY STUDY AT EDWARDS AIR FORCE BASE, CA

6.1 WEATHER RESEARCH AND FORECASTING MODEL WIND SENSITIVITY STUDY AT EDWARDS AIR FORCE BASE, CA .1 WEATHER RESEARCH AND FORECASTING MODEL WIND SENSITIVITY STUDY AT EDWARDS AIR FORCE BASE, CA Leela R. Watson* and William H. Bauman III NASA Applied Meteorology Unit / ENSCO, Inc. / Cape Canaveral Air

More information

Improvements to the NCEP Global and Regional Data Assimilation Systems

Improvements to the NCEP Global and Regional Data Assimilation Systems Improvements to the NCEP Global and Regional Data Assimilation Systems Stephen J. Lord Director NCEP Environmental Modeling Center EMC Staff NCEP: where America s climate, weather, and ocean services begin

More information

Water Balance in the Murray-Darling Basin and the recent drought as modelled with WRF

Water Balance in the Murray-Darling Basin and the recent drought as modelled with WRF 18 th World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09 Water Balance in the Murray-Darling Basin and the recent drought as modelled with WRF Evans, J.P. Climate

More information

WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities

WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities Jason Otkin Cooperative Institute for Meteorological Satellite Studies Space Science and Engineering Center University of Wisconsin

More information

Deliverable D1.2 Technical report with the characteristics of the models. Atmospheric model WRF-ARW

Deliverable D1.2 Technical report with the characteristics of the models. Atmospheric model WRF-ARW Deliverable D1.2 Technical report with the characteristics of the models Atmospheric model WRF-ARW The Weather Research and Forecasting (WRF) Model (http://www.wrf-model.org) is an advanced mesoscale numerical

More information

QUANTITATIVE VERIFICATION STATISTICS OF WRF PREDICTIONS OVER THE MEDITERRANEAN REGION

QUANTITATIVE VERIFICATION STATISTICS OF WRF PREDICTIONS OVER THE MEDITERRANEAN REGION QUANTITATIVE VERIFICATION STATISTICS OF WRF PREDICTIONS OVER THE MEDITERRANEAN REGION Katsafados P. 1, Papadopoulos A. 2, Mavromatidis E. 1 and Gikas N. 1 1 Department of Geography, Harokopio University

More information

IMPACT OF LAND USE CHANGE ON WEATHER RESEARCH AND FORECASTING (WRF) OUTPUT: A CASE STUDY FOR THE PHILIPPINES

IMPACT OF LAND USE CHANGE ON WEATHER RESEARCH AND FORECASTING (WRF) OUTPUT: A CASE STUDY FOR THE PHILIPPINES IMPACT OF LAND USE CHANGE ON WEATHER RESEARCH AND FORECASTING (WRF) OUTPUT: A CASE STUDY FOR THE PHILIPPINES Robert B. Badrina 1 Jay Samuel L. Combinido 2 Gay Jane P. Perez 2 1 Philippine Atmospheric Geophysical

More information

The Advanced Research WRF (ARW) Dynamics Solver

The Advanced Research WRF (ARW) Dynamics Solver Dynamics: Introduction The Advanced Research WRF (ARW) Dynamics Solver 1. What is a dynamics solver? 2. Variables and coordinates 3. Equations 4. Time integration scheme 5. Grid staggering 6. Advection

More information

NCEP s "NAM" (North American Mesoscale) model WRF-NMM. NCEP =National Centers for Environmental Prediction

NCEP s NAM (North American Mesoscale) model WRF-NMM. NCEP =National Centers for Environmental Prediction NCEP s "NAM" (North American Mesoscale) model WRF-NMM NCEP =National Centers for Environmental Prediction Weather Research and Forecasting Non-hydrostatic Mesoscale Model (WRF-NMM)** model is run as the

More information

Numerical Weather Prediction. Meteorology 311 Fall 2010

Numerical Weather Prediction. Meteorology 311 Fall 2010 Numerical Weather Prediction Meteorology 311 Fall 2010 Closed Set of Equations Same number of equations as unknown variables. Equations Momentum equations (3) Thermodynamic energy equation Continuity equation

More information

Creating Meteorology for CMAQ

Creating Meteorology for CMAQ Creating Meteorology for CMAQ Tanya L. Otte* Atmospheric Sciences Modeling Division NOAA Air Resources Laboratory Research Triangle Park, NC * On assignment to the National Exposure Research Laboratory,

More information

Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting

Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting Wind Flow Modeling The Basis for Resource Assessment and Wind Power Forecasting Detlev Heinemann ForWind Center for Wind Energy Research Energy Meteorology Unit, Oldenburg University Contents Model Physics

More information

GSI Data Assimilation System Support and Testing Activities: 2013 Annual Update

GSI Data Assimilation System Support and Testing Activities: 2013 Annual Update 14Th Annual WRF Users Workshop, Boulder, CO, June 24-28, 2013 GSI Data Assimilation System Support and Testing Activities: 2013 Annual Update Hui Shao1, Ming Hu2, Chunhua Zhou1, Kathryn Newman1, Mrinal

More information

Implementation of the WRF-ARW prognostic model on the Grid

Implementation of the WRF-ARW prognostic model on the Grid Implementation of the WRF-ARW prognostic model on the Grid D. Davidović, K. Skala Centre for Informatics and Computing Ruđer Bošković Institute Bijenička Street 54, Zagreb, 10000, Croatia Phone: (+385)

More information

Research Article Numerical Simulations and Analysis of June 16, 2010 Heavy Rainfall Event over Singapore Using the WRFV3 Model

Research Article Numerical Simulations and Analysis of June 16, 2010 Heavy Rainfall Event over Singapore Using the WRFV3 Model International Atmospheric Sciences Volume 2013, Article ID 825395, 8 pages http://dx.doi.org/.1155/2013/825395 Research Article Numerical Simulations and Analysis of June 16, 20 Heavy Rainfall Event over

More information

AMPS Update June 2017

AMPS Update June 2017 AMPS Update June 2017 Kevin W. Manning Jordan G. Powers Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO 12th Workshop on Antarctic Meteorology and Climate

More information

Comparison of the NCEP and DTC Verification Software Packages

Comparison of the NCEP and DTC Verification Software Packages Comparison of the NCEP and DTC Verification Software Packages Point of Contact: Michelle Harrold September 2011 1. Introduction The National Centers for Environmental Prediction (NCEP) and the Developmental

More information

The WRF Developmental Testbed Center (DTC)

The WRF Developmental Testbed Center (DTC) The WRF Developmental Testbed Center (DTC) Bob Gall A facility where the NWP research and operational communities interact to accelerate testing and evaluation of new models and techniques for research

More information

RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS

RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS RSMC WASHINGTON USER'S INTERPRETATION GUIDELINES ATMOSPHERIC TRANSPORT MODEL OUTPUTS (January 2015) 1. Introduction In the context of current agreements between the National Oceanic and Atmospheric Administration

More information

INFLUENCE OF SEA SURFACE TEMPERATURE ON COASTAL URBAN AREA - CASE STUDY IN OSAKA BAY, JAPAN -

INFLUENCE OF SEA SURFACE TEMPERATURE ON COASTAL URBAN AREA - CASE STUDY IN OSAKA BAY, JAPAN - Proceedings of the Sixth International Conference on Asian and Pacific Coasts (APAC 2011) December 14 16, 2011, Hong Kong, China INFLUENCE OF SEA SURFACE TEMPERATURE ON COASTAL URBAN AREA - CASE STUDY

More information

Split explicit methods

Split explicit methods Split explicit methods Almut Gassmann Meteorological Institute of the University of Bonn Germany St.Petersburg Summer School 2006 on nonhydrostatic dynamics and fine scale data assimilation Two common

More information

A Description of the Advanced Research WRF Version 2

A Description of the Advanced Research WRF Version 2 NCAR/TN 468+STR NCAR TECHNICAL NOTE June 2005 A Description of the Advanced Research WRF Version 2 William C. Skamarock Joseph B. Klemp Jimy Dudhia David O. Gill Dale M. Barker Wei Wang Jordan G. Powers

More information

HFIP Diagnostics Workshop Summary and Recommendations

HFIP Diagnostics Workshop Summary and Recommendations HFIP Diagnostics Workshop Summary and Recommendations Agenda Summary Operational input from NHC Atmospheric diagnostics EMC, NESDIS, CSU, GFDL, ESRL New verification techniques JNT/NCAR Land surface, ocean,

More information

Maximizing the Performance of the Weather Research and Forecast Model over the Hawaiian Islands

Maximizing the Performance of the Weather Research and Forecast Model over the Hawaiian Islands Maximizing the Performance of the Weather Research and Forecast Model over the Hawaiian Islands Kevin P. Roe The Maui High Performance Computing Center, Kihei, HI 96753 USA Duane Stevens Meteorology Department,

More information

Numerical Weather Prediction. Meteorology 311 Fall 2016

Numerical Weather Prediction. Meteorology 311 Fall 2016 Numerical Weather Prediction Meteorology 311 Fall 2016 Closed Set of Equations Same number of equations as unknown variables. Equations Momentum equations (3) Thermodynamic energy equation Continuity equation

More information

2A.2 EXPERIMENTAL FORECASTS OF MOUNTAIN WAVES FOR THE TERRAIN-INDUCED ROTOR EXPERIMENT (T-REX)

2A.2 EXPERIMENTAL FORECASTS OF MOUNTAIN WAVES FOR THE TERRAIN-INDUCED ROTOR EXPERIMENT (T-REX) 2.2 EXPERIMENTL FORECSTS OF MOUNTIN WVES FOR THE TERRIN-INDUCED ROTOR EXPERIMENT (T-REX) Ligia ernardet 1, 2, rian Jamison 1,3, John rown 1, Steven Koch 1, and Jimy Dudhia 4 1 NO Earth System Research

More information

Application of the Ems-Wrf Model in Dekadal Rainfall Prediction over the Gha Region Franklin J. Opijah 1, Joseph N. Mutemi 1, Laban A.

Application of the Ems-Wrf Model in Dekadal Rainfall Prediction over the Gha Region Franklin J. Opijah 1, Joseph N. Mutemi 1, Laban A. Application of the Ems-Wrf Model in Dekadal Rainfall Prediction over the Gha Region Franklin J. Opijah 1, Joseph N. Mutemi 1, Laban A. Ogallo 2 1 University of Nairobi; 2 IGAD Climate Prediction and Applications

More information

Status of Atmospheric Winds in Relation to Infrasound. Douglas P. Drob Space Science Division Naval Research Laboratory Washington, DC 20375

Status of Atmospheric Winds in Relation to Infrasound. Douglas P. Drob Space Science Division Naval Research Laboratory Washington, DC 20375 Status of Atmospheric Winds in Relation to Infrasound Douglas P. Drob Space Science Division Naval Research Laboratory Washington, DC 20375 GOT WINDS? Douglas P. Drob Space Science Division Naval Research

More information

Assessment of the Noah LSM with Multi-parameterization Options (Noah-MP) within WRF

Assessment of the Noah LSM with Multi-parameterization Options (Noah-MP) within WRF Assessment of the Noah LSM with Multi-parameterization Options (Noah-MP) within WRF Michelle Harrold, Jamie Wolff, and Mei Xu National Center for Atmospheric Research Research Applications Laboratory and

More information

Addressing Diurnal Temperature Biases in the WRF Model

Addressing Diurnal Temperature Biases in the WRF Model Addressing Diurnal Temperature Biases in the WRF Model Jeffrey Massey University of Utah Collaborators: Jim Steenburgh, Jason Knievel, Sebastian Hoch, Josh Hacker Long term 2-m temperature verification

More information

CORDEX Simulations for South Asia

CORDEX Simulations for South Asia WCRP CORDEX South Asia Planning Meeting 25-26 February 2012 Indian Institute of Tropical Meteorology (IITM) Pune, India CORDEX Simulations for South Asia J. Sanjay Centre for Climate Change Research (CCCR)

More information

WRF-Hydro: A hydrological modeling extension package for the Weather Research and Forecasting System

WRF-Hydro: A hydrological modeling extension package for the Weather Research and Forecasting System WRF-Hydro: A hydrological modeling extension package for the Weather Research and Forecasting System D. Gochis, W. Yu, D. Yates, K. Sampson, K. Ikeda National Center for Atmospheric Research Outline: 1.

More information

NHM Tutorial Part I. Brief Usage of the NHM

NHM Tutorial Part I. Brief Usage of the NHM 1 / 22 NHM Tutorial Part I. Brief Usage of the NHM Syugo HAYASHI (Forecast Research Department / Meteorological Research Institute) 2 / 18 Overall Index (Tutorial_0~3) 0. What is the NHM? NHM_Tutorial_0.ppt

More information

Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity

Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity Takamichi Iguchi 1,2 (takamichi.iguchi@nasa.gov) 1 Earth System Science Interdisciplinary

More information

SIMULATION OF ATMOSPHERIC STATES FOR THE CASE OF YEONG-GWANG STORM SURGE ON 31 MARCH 2007 : MODEL COMPARISON BETWEEN MM5, WRF AND COAMPS

SIMULATION OF ATMOSPHERIC STATES FOR THE CASE OF YEONG-GWANG STORM SURGE ON 31 MARCH 2007 : MODEL COMPARISON BETWEEN MM5, WRF AND COAMPS SIMULATION OF ATMOSPHERIC STATES FOR THE CASE OF YEONG-GWANG STORM SURGE ON 31 MARCH 2007 : MODEL COMPARISON BETWEEN MM5, WRF AND COAMPS JEONG-WOOK LEE 1 ; KYUNG-JA HA 1* ; KI-YOUNG HEO 1 ; KWANG-SOON

More information

608 SENSITIVITY OF TYPHOON PARMA TO VARIOUS WRF MODEL CONFIGURATIONS

608 SENSITIVITY OF TYPHOON PARMA TO VARIOUS WRF MODEL CONFIGURATIONS 608 SENSITIVITY OF TYPHOON PARMA TO VARIOUS WRF MODEL CONFIGURATIONS Phillip L. Spencer * and Brent L. Shaw Weather Decision Technologies, Norman, OK, USA Bonifacio G. Pajuelas Philippine Atmospheric,

More information

The Developmental Testbed Center WRFv3.2.1 QNSE Test Plan

The Developmental Testbed Center WRFv3.2.1 QNSE Test Plan The Developmental Testbed Center WRFv3.2.1 QNSE Test Plan Point of Contact: Jamie Wolff October 1, 2010 1. Introduction The Developmental Testbed Center (DTC) will be performing re-testing and evaluation

More information

A Description of the Advanced Research WRF Version 2

A Description of the Advanced Research WRF Version 2 NCAR/TN 468+STR NCAR TECHNICAL NOTE June 2005 Last revision: January 2007 A Description of the Advanced Research WRF Version 2 William C. Skamarock Joseph B. Klemp Jimy Dudhia David O. Gill Dale M. Barker

More information

Overview Of Recent Progress In The Development And Operational Applications Of The Weather Research And Forecasting (WRF) Model.

Overview Of Recent Progress In The Development And Operational Applications Of The Weather Research And Forecasting (WRF) Model. Overview Of Recent Progress In The Development And Operational Applications Of The Weather Research And Forecasting (WRF) Model. Greg Holland, Joe Klemp, Bob Gall, Jordan Powers, Dale Barker National Center

More information

WRF Nesting: Set Up and Run

WRF Nesting: Set Up and Run WRF Nesting: Set Up and Run Wei Wang NCAR/NESL/MMM January 2013 Mesoscale & Microscale Meteorological Division / NCAR 1 Outline General comments Nest namelist options Running WRF with nests NMM case: one-way,

More information

Precipitation Structure and Processes of Typhoon Nari (2001): A Modeling Propsective

Precipitation Structure and Processes of Typhoon Nari (2001): A Modeling Propsective Precipitation Structure and Processes of Typhoon Nari (2001): A Modeling Propsective Ming-Jen Yang Institute of Hydrological Sciences, National Central University 1. Introduction Typhoon Nari (2001) struck

More information

VI-SEEM NAT-GR CL: National training event in Greece

VI-SEEM NAT-GR CL: National training event in Greece 11-12 December 2017 Aristotle University, Research Dissemination Center (KEDEA) VI-SEEM NAT-GR CL: National training event in Greece WRF Weather Research and Forecast Model Meteorological applications

More information

Dynamic Ensemble Model Evaluation of Elevated Thunderstorms sampled by PRECIP

Dynamic Ensemble Model Evaluation of Elevated Thunderstorms sampled by PRECIP Dynamic Ensemble Model Evaluation of Elevated Thunderstorms sampled by PRECIP Joshua S. Kastman, Patrick S. Market, and Neil Fox, University of Missouri, Columbia, MO Session 8B - Numerical Weather Prediction

More information

Track sensitivity to microphysics and radiation

Track sensitivity to microphysics and radiation Track sensitivity to microphysics and radiation Robert Fovell and Yizhe Peggy Bu, UCLA AOS Brad Ferrier, NCEP/EMC Kristen Corbosiero, U. Albany 11 April 2012 rfovell@ucla.edu 1 Background WRF-ARW, including

More information

Open Source ENKI: Dynamic Environmental Model Framework. A possible pre-processor for WRF-Hydro?

Open Source ENKI: Dynamic Environmental Model Framework. A possible pre-processor for WRF-Hydro? Open Source ENKI: Dynamic Environmental Model Framework A possible pre-processor for WRF-Hydro? 1st European Fully Coupled AtmosphericHydrological Modeling and WRF-Hydro Users workshop. University of Calabria.

More information

Evolution of the GFDL hurricane model in research and transition to NMC operations

Evolution of the GFDL hurricane model in research and transition to NMC operations Evolution of the GFDL hurricane model in research and transition to NMC operations Robert E. Tuleya (Saic, EMC & CCPO/ODU) Morris Bender (GFDL) Isaac Ginis (URI) Tim Marchok (GFDL) URI/GSO Y. Kurihara

More information

Introduction to GSI Background Error Covariance (BE)

Introduction to GSI Background Error Covariance (BE) 23 Beijing GSI Tutorial May 29, 23 Beijing, China Introduction to GSI Background Error Covariance (BE) Ming Hu Developmental Testbed Center NCAR-NOAA/GSD BE related Tutorial lectures GSI Tutorial 2 Background

More information

Jacobians of transformation 115, 343 calculation of 199. Klemp and Wilhelmson open boundary condition 159 Kuo scheme 190

Jacobians of transformation 115, 343 calculation of 199. Klemp and Wilhelmson open boundary condition 159 Kuo scheme 190 Index A acoustic modes 121 acoustically active terms 126 adaptive grid refinement (AGR) 206 Advanced Regional Prediction System 3 advection term 128 advective form 129 flux form 129 Allfiles.tar 26 alternating

More information

Predicting Wind Power Generation

Predicting Wind Power Generation Predicting Wind Power Generation Daniel Kirk-Davidoff Chief Scientist for Weather and Climate Services MDA Information Systems LLC Adjunct Associate Professor of Atmospheric and Oceanic Science University

More information

WORC tutorial. Compilation is required in the following order : OASIS, ORCHIDEE, WRF and then WPS. The following instructions are valid on climserv.

WORC tutorial. Compilation is required in the following order : OASIS, ORCHIDEE, WRF and then WPS. The following instructions are valid on climserv. WORC tutorial The WRF-ORCHIDEE Coupling (WORC) has been developped as a part of the development of the MORCE platform. It consists of fully interactive coupling between the WRF atmospheric and ORCHIDEE

More information

Weather Research and Forecasting (WRF) Performance Benchmark and Profiling. July 2012

Weather Research and Forecasting (WRF) Performance Benchmark and Profiling. July 2012 Weather Research and Forecasting (WRF) Performance Benchmark and Profiling July 2012 Note The following research was performed under the HPC Advisory Council activities Participating vendors: Intel, Dell,

More information

Tue 3/1/2016. Arakawa-Schubert, Grell, Tiedtke, Zhang-McFarlane Explicit convection Review for MT exam

Tue 3/1/2016. Arakawa-Schubert, Grell, Tiedtke, Zhang-McFarlane Explicit convection Review for MT exam Tue 3/1/2016 Convective parameterization: Arakawa-Schubert, Grell, Tiedtke, Zhang-McFarlane Explicit convection Review for MT exam Reminders/announcements: - Midterm Thu 3/3 (2014 exam posted on www page)

More information

A Study of Convective Initiation Failure on 22 Oct 2004

A Study of Convective Initiation Failure on 22 Oct 2004 A Study of Convective Initiation Failure on 22 Oct 2004 Jennifer M. Laflin Philip N. Schumacher NWS Sioux Falls, SD August 6 th, 2011 Introduction Forecasting challenge: strong forcing for ascent and large

More information

P1M.4 COUPLED ATMOSPHERE, LAND-SURFACE, HYDROLOGY, OCEAN-WAVE, AND OCEAN-CURRENT MODELS FOR MESOSCALE WATER AND ENERGY CIRCULATIONS

P1M.4 COUPLED ATMOSPHERE, LAND-SURFACE, HYDROLOGY, OCEAN-WAVE, AND OCEAN-CURRENT MODELS FOR MESOSCALE WATER AND ENERGY CIRCULATIONS P1M.4 COUPLED ATMOSPHERE, LAND-SURFACE, HYDROLOGY, OCEAN-WAVE, AND OCEAN-CURRENT MODELS FOR MESOSCALE WATER AND ENERGY CIRCULATIONS Haruyasu NAGAI *, Takuya KOBAYASHI, Katsunori TSUDUKI, and Kyeongok KIM

More information

Data Received: 20 September 2010 Revised: 3 January 2011 Accepted: 11 January 2011 Published: 1 February 2011

Data Received: 20 September 2010 Revised: 3 January 2011 Accepted: 11 January 2011 Published: 1 February 2011 Open Sciences doi:10.5194/asr-6-13-2011 Author(s) 2011. CC Attribution 3.0 License. Advances in Science & Research Open Access Proceedings Drinking Water Sensitivity of a long-range numerical weather forecast

More information

A Description and Example Output of the WRF-NMM land surface and radiation packages used at NCEP

A Description and Example Output of the WRF-NMM land surface and radiation packages used at NCEP A Description and Example Output of the WRF-NMM land surface and radiation packages used at NCEP Ken Mitchell and Michael Ek NCEP/EMC NOAA/NWS WRF-NMM Tutorial 8-11 August 2006 Boulder, CO Noah Land Surface

More information

Assignment #5: Cumulus Parameterization Sensitivity Due: 14 November 2017

Assignment #5: Cumulus Parameterization Sensitivity Due: 14 November 2017 Assignment #5: Cumulus Parameterization Sensitivity Due: 14 November 2017 Objectives In this assignment, we use the WRF-ARW model to run two nearly-identical simulations in which only the cumulus parameterization

More information

Development and Validation of Polar WRF

Development and Validation of Polar WRF Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio Development and Validation of Polar WRF David H. Bromwich 1,2, Keith M. Hines 1, and Le-Sheng Bai 1 1 Polar

More information

AMS 17th Conference on Numerical Weather Predition, 1-5 August 2005, Washington D.C. Paper 16A.3

AMS 17th Conference on Numerical Weather Predition, 1-5 August 2005, Washington D.C. Paper 16A.3 AMS 17th Conference on Numerical Weather Predition, 1-5 August 2005, Washington D.C. Paper 16A.3 HIGH-RESOLUTION WINTER-SEASON NWP: PRELIMINARY EVALUATION OF THE WRF ARW AND NMM MODELS IN THE DWFE FORECAST

More information