Polar WRF (Ohio State Modifications)

Slides:



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

ISU Atmospheric Component Update – Part I Justin Glisan Iowa State University.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 6th.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 7th.
Coupled versus uncoupled radiation and microphysicsMicrophysics droplet concentration 5. Conclusions The sea ice state simulated in RASM is sensitive to.
High-Resolution Land Use Data in WPS/WRF for Urban Regions
John J. Cassano, Matthew Higgins, Alice DuVivier University of Colorado Wieslaw Maslowski, William Gutowski, Dennis Lettenmaier, Andrew Roberts.
Coupled Ocean and Atmosphere Climate Dynamics ENVI3410.
S4D WorkshopParis, France Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio A High-Resolution David H. Bromwich.
THORPEX-Pacific Workshop Kauai, Hawaii Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio David H. Bromwich.
John J. Cassano - University of Colorado Wieslaw Maslowski -Naval Postgraduate School William Gutowski - Iowa State University Dennis Lettenmaier – University.
Larry D. Hinzman University of Alaska Fairbanks Amanda Lynch University of Colorado Kenji Yoshikawa University of Alaska Fairbanks William Gutowski Iowa.
Kristie J. Franz Department of Geological & Atmospheric Sciences Iowa State University
Ensemble simulations with a Regional Earth System Model of the Arctic
Xingren Wu and Robert Grumbine
STUDI Land Surface Change & Arctic Land Warming Department of Geography Jianmin Wang The Ohio State University 04/06/
Introduction to Running the WRF in LES Mode Jeff Massey April 1, 2014 University of Utah WRF Users Group.
WRF SLP Bias Issues Update from Santa Cruz meeting Matt Higgins John Cassano May 18,
RAMS Customization. Example customizations  Higher-resolution topography  Topography steepness  Vegetation parameters  SST modifications (lakes, bays,
Mesoscale Modeling Review the tutorial at: –In class.
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
Atmospheric Modeling in an Arctic System Model John J. Cassano Cooperative Institute for Research in Environmental Sciences and Department of Atmospheric.
Land Processes Group, NASA Marshall Space Flight Center, Huntsville, AL Response of Atmospheric Model Predictions at Different Grid Resolutions Maudood.
Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.
ISU Atmospheric Component Update – Part I 3 rd RASM Workshop 2012 Fall Justin Glisan Iowa State University.
Arctic Systems Modeling Workshop, Montreal July 2009 (notes by Elliott) Afternoon Breakout Summaries: Day 1 Holland leads Ice Sheets Sea level change the.
ASR Preliminary Meeting Boulder, Colorado Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio David H. Bromwich,
Installing and Running the WPS Michael Duda 2006 WRF-ARW Summer Tutorial.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 3rd.
AOMIP workshop #12 Jan 14-16, 2009 WHOI Improved modeling of the Arctic halocline with a sub-grid-scale brine rejection parameterization Nguyen, An T.,
CLIMARES WP 110 Climate model scenarios for the Arctic region for the next decades Current state: Klaus Dethloff, AWI WP Leader: Erich Roeckner, MPI Planing.
A Portable Regional Weather and Climate Downscaling System Using GEOS-5, LIS-6, WRF, and the NASA Workflow Tool Eric M. Kemp 1,2 and W. M. Putman 1, J.
Arctic System Reanalysis David H. Bromwich 1,2 and Keith M. Hines 1 1- Polar Meteorology Group Byrd Polar Research Center The Ohio State University Columbus,
Implementation and preliminary test of the unified Noah LSM in WRF F. Chen, M. Tewari, W. Wang, J. Dudhia, NCAR K. Mitchell, M. Ek, NCEP G. Gayno, J. Wegiel,
Core Theme 5: Technological Advancements for Improved near- realtime data transmission and Coupled Ocean-Atmosphere Data Assimilation WP 5.2 Development.
Applications of a Regional Climate Model to Study Climate Change over Southern China Keith K. C. Chow Hang-Wai Tong Johnny C. L. Chan CityU-IAP Laboratory.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 4th.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 5th.
International Workshop on Antarctic Clouds Columbus, OH Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio.
Contribution of MPI to CLIMARES Erich Roeckner, Dirk Notz Max Planck Institute for Meteorology, Hamburg.
One-year re-forecast ensembles with CCSM3.0 using initial states for 1 January and 1 July in Model: CCSM3 is a coupled climate model with state-of-the-art.
WRF Modelling Aim:  18 th -19 th April Cyclone taking dust SW as opposed to SE  15 th – 16 th North Scotland hit  Cyclone has moved north dragging.
___________________________________________________________________________WRF-SI ___________________________________________________Community Modeling.
Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High- Resolution Regional Arctic.
Installing and Running the WPS Michael Duda 2006 WRF-ARW Summer Tutorial.
Radiative forcing of climate by historical land cover change H. Damon Matthews, Andrew J. Weaver, Michael Eby, and Katrin J. Meissner Cory Martin Atmospheric.
Arctic climate simulations by coupled models - an overview - Annette Rinke and Klaus Dethloff Alfred Wegener Institute for Polar and Marine Research, Research.
Bias score versus precipitation threshold [mm/d] Model - observed precipitation [mm/d] Bias score at selected thresholds Pan-Arctic WRF Background Introduction.
Development of the Regional Arctic Climate System Model (RACM) --- Department of Civil and Environmental Engineering University of Washington May, 2010.
IASC Workshop Potsdamr, Germany Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio, USA The Arctic System Reanalysis.
Status of CAM, March 2004 Phil Rasch. Differences between CAM2 and CAM3 (standard physics version) Separate liquid and ice phases Advection, sedimentation.
Overview of the CCSM CCSM Software Engineering Group June
Jake Langmead-Jones The Role of Ocean Circulation in Climate Simulations, Freshwater Hosing and Hysteresis Jake Langmead-Jones.
Towards development of a Regional Arctic Climate System Model ---
Running the WRF Preprocessing System
Microwave Assimilation in Tropical Cyclones
Contributing Centres to S2S database
Schematic framework of anthropogenic climate change drivers, impacts and responses to climate change, and their linkages (IPCC, 2007; 2014).
National Scientific Library at Tbilisi State University
Overview of the COSMO NWP model
ASM Project Update: Atmospheric Modeling
The ACCIMA Project - Coupled Modeling of the High Southern Latitudes
Single column models Gunilla Svensson and Frank Kauker
Practice for WPS Master’s student at UC Davis
gWRF Workflow and Input Data Requirements
Performance of the VIC land surface model in coupled simulations
A Model View of Arctic Sea Ice During Summer 2007 and Beyond
Department of Geological and Atmospheric Sciences
Surface-Atmosphere Interactions
WRF Application in COAWST
Presentation transcript:

Polar WRF (Ohio State Modifications) Brandon Fisel Iowa State University Department of Geological and Atmospheric Sciences RACM Presentation 2008 December 05

Motivations Model Setup Plots Future Directions Outline Motivations Model Setup Plots Future Directions RACM Presentation 2008 December 05

Simulations in polar climates Polar optimizations Treatment of sea ice Motivations Simulations in polar climates Polar optimizations Treatment of sea ice Climate regimes: polar oceans, ice sheets, arctic land. Optimizations done to PBL parameterizations, snow surface physics, treatment of land surface. Polar WRF allows for different surface conditions for ice and open water portions of sea-ice grid points; includes parameters, surface roughness and albedo between open water and sea-ice. RACM Presentation 2008 December 05

Model Setup Pan-Arctic domain SHEBA year (Oct. 97 – Oct. 98) ERA40/ECMWF-TOGA NSIDC sea ice concentrations Using SHEBA year right but not a year of focus now. I will perform diagnostics on the fractional sea ice (variance in space of sea ice) to determine when we can focus on this. RACM Presentation 2008 December 05

Model Setup (cont…) RACM Presentation 2008 December 05 Using SHEBA year right but not a year of focus now. I will perform diagnostics on the fractional sea ice (variance in space of sea ice) to determine when we can focus on this. RACM Presentation 2008 December 05

Model Setup (cont…) External Data Sources WPS WRF GRIB NSIDC geogrid.exe ungrib.exe metgrid.exe WRF WRF (V3.0.1.1) Polar WRF (V3.0.1.1) RACM Presentation 2008 December 05

Model Setup (cont…) External Data Sources WPS WRF GRIB NSIDC geogrid.exe ungrib.exe metgrid.exe WRF WRF (V3.0.1.1) Polar WRF (V3.0.1.1) PHYS – physics_init, sf_noahdrv, sf_noahlsm, surface_driver RUN – LANDUSE, VEGPARM SHARE – soil_pre WPS – seaice-intermd RACM Presentation 2008 December 05

Model Setup (cont…) NSIDC (sea ice) Real wrfinput_d01 wrfbdy_d01 WPS met_em.d01 WRF TOGA ERA40 wrfout_d01 Real.exe interpolates the met_em files vertically, creates wrfinput and wrfbdy files, and performs consistency checks. RACM Presentation 2008 December 05

Model Setup (cont…) Issues: External data sea-ice to intermediate (Keith Hines & Francis Otieno) configure.wrf CPP = /lib/cpp –C –P CPP = /lib/cpp –C –P –D_BPRC_SEAICE_ -D_BPRC_POLAR_ ERA40 used to substitute sub-surface data while ECMWF-TOGA (no soil T) used to supply everything else. RACM Presentation 2008 December 05

NSIDC sea ice concentration Plots NSIDC sea ice concentration Oct. 97 – Oct. 98 RACM Presentation 2008 December 05

Initial hypothesis Fractional sea ice Simulations Future Directions Initial hypothesis Fractional sea ice Simulations Heating by open fraction of the ocean will have a significant effect on the atmospheric circulation but only at times when the circulation is susceptible to bifurcation (small changes that can impact the short-term dynamical behavior). Simulations using Polar WRF w/ fractional sea-ice and Polar WRF w/o fractional sea-ice. Fractional sea-ice variance over space and not time. (diagnostic to locate periods to focus on) RACM Presentation 2008 December 05

Questions RACM Presentation 2008 December 05