Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High- Resolution Regional Arctic.

Slides:



Advertisements
Similar presentations
ISU Atmospheric Component Update – Part I Justin Glisan Iowa State University.
Advertisements

CanSIPS development plans CanSISE Workshop - 30 Oct 2013 Bill Merryfield CCCma.
Adeline Bichet, Lawrence Mudryk, Paul Kushner, Chris Derksen
Experiments with Monthly Satellite Ocean Color Fields in a NCEP Operational Ocean Forecast System PI: Eric Bayler, NESDIS/STAR Co-I: David Behringer, NWS/NCEP/EMC/GCWMB.
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.
1 Evaluation of two global HYCOM 1/12º hindcasts in the Mediterranean Sea Cedric Sommen 1 In collaboration with Alexandra Bozec 2 and Eric Chassignet 2.
Atmospheric Reanalyses Update Mike Bosilovich. ReanalysisHoriz.ResDatesVintageStatus NCEP/NCAR R1T present1995ongoing NCEP-DOE R2T present2001ongoing.
Understanding climate model biases in Southern Hemisphere mid-latitude variability Isla Simpson 1 Ted Shepherd 2, Peter Hitchcock 3, John Scinocca 4 (1)
John J. Cassano, Matthew Higgins, Alice DuVivier University of Colorado Wieslaw Maslowski, William Gutowski, Dennis Lettenmaier, Andrew Roberts.
Indian Monsoon, Indian Ocean dipoles and ENSO Pascal Terray LOCEAN/IPSL, France Fabrice Chauvin CNRM/Météo-France, France Sébastien Dominiak LOCEAN/IPSL,
W. Neff, et al. NOAA/Environmental Technology Laboratory Boulder Colorado AWS Meeting, Wednesday, June 8, 2005, Columbus OH The Meteorology of High Nitrogen-
THE BEST ANALYZED AIR- SEA FLUXES FOR SEASONAL FORECASTING 2.12 Glenn H. White, W. Wang, S. Saha, D. Behringer, S. Nadiga and H.-L. Pan Global Climate.
Sea Ice Thickness from Satellite, Aircraft, and Model Data Xuanji Wang 1 and Jeffrey R. Key 1 Cooperative.
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.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
Verification of Numerical Weather Prediction systems employed by the Australian Bureau of Meteorology over East Antarctica during the summer season.
Larry D. Hinzman University of Alaska Fairbanks Amanda Lynch University of Colorado Kenji Yoshikawa University of Alaska Fairbanks William Gutowski Iowa.
Recent Climate Change Modeling Results Climate Impacts Group University of Washington With: Patrick Zahn, Cliff Mass, Rick Steed Eric SlathéEric Salathé.
Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High-Resolution Regional Arctic Climate System Model (RAMC)
Potential Predictability of Drought and Pluvial Conditions over the Central United States on Interannual to Decadal Time Scales Siegfried Schubert, Max.
The Future of Arctic Sea Ice Authors: Wieslaw Maslowski, Jaclyn Clement Kinney, Matthew Higgins, and Andrew Roberts Brian Rosa – Atmospheric Sciences.
Tereza Cavazos NAME Working Group Puerto Vallarta, Mexico November 2003 CICESE and UABC Participation in NAME Intro Dept. of Physical Oceanography 2002.
High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,
Key Questions to Answer on Storm Simulation Xiangdong Zhang International Arctic Research Center University of Alaska Fairbanks, Fairbanks, AK 99775, USA.
Uncertainty in climate scenarios when downscaling with an RCM M. Tadross, B. Hewitson, W Gutowski & AF07 collaborators Water Research Commission of South.
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.
Preliminary Results of Global Climate Simulations With a High- Resolution Atmospheric Model P. B. Duffy, B. Govindasamy, J. Milovich, K. Taylor, S. Thompson,
Global, Basin and Shelf Ocean Applications of OPA An Inter-Agency Canadian Initiative EC-DFO-DND + Universities + Mercator-Ocean  CONCEPTS -- Canadian.
ENSO Variability in SODA: SULAGNA RAY BENJAMIN GIESE TEXAS A&M UNIVERSITY WCRP 2010, Paris, Nov
Polar Prediction The Scientific Challenges - Antarctica John Turner British Antarctic Survey Cambridge, UK.
Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High- Resolution Regional Arctic.
The Role of Antecedent Soil Moisture on Variability of the North American Monsoon System Chunmei Zhu a, Yun Qian b, Ruby Leung b, David Gochis c, Tereza.
Regional Arctic Climate System Model (RACM) – Project Overview Participants: Wieslaw Maslowski (PI)- Naval Postgraduate School John Cassano (co-PI)- University.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 3rd.
Validation of US Navy Polar Ice Prediction (PIPS) Model using Cryosat Data Kim Partington 1, Towanda Street 2, Mike Van Woert 2, Ruth Preller 3 and Pam.
Three Lectures on Tropical Cyclones Kerry Emanuel Massachusetts Institute of Technology Spring School on Fluid Mechanics of Environmental Hazards.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
KoreaCAM-EULAG February 2008 Implementation of a Non-Hydrostatic, Adaptive-Grid Dynamics Core in the NCAR Community Atmospheric Model William J. Gutowski,
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.
NARCCAP Meeting September 2009 Results from NCEP-driven RCMs ~ Overview ~ Results from NCEP-driven RCMs ~ Overview ~ William J. Gutowski, Jr. & Raymond.
Diurnal Water and Energy Cycles over the Continental United States from three Reanalyses Alex Ruane John Roads Scripps Institution of Oceanography / UCSD.
Results: Model Skill Cool season RegCM2 precipitation exhibits negative (positive) bias in the south central U. S. (northwestern U.S.). Warm season precipitation.
Ocean Systems and Climate Modification Ocean Systems Summary Ocean Response Issues ©2001, Perry Samson, University of Michigan.
Module 17 MM5: Climate Simulation BREAK. Regional Climate Simulation for the Pan-Arctic using MM5 William J. Gutowski, Jr., Helin Wei, Charles Vörösmarty,
Breakout sessions 13:15-14:45Five Breakout sessions 1.Atmosphere – Walsh/Elliot 2.Sea Ice/Ocean – Proshutinsky/Flato/Gerdes 3.Terrestrial/Permafrost –
RT5, WP5.2 : Evaluation of processes and phenomena Objectives : Analyse the capability of the models to reproduce and predict the major modes of variations.
Arctic climate simulations by coupled models - an overview - Annette Rinke and Klaus Dethloff Alfred Wegener Institute for Polar and Marine Research, Research.
1 Yun Fan, Huug van den Dool, Dag Lohmann, Ken Mitchell CPC/EMC/NCEP/NWS/NOAA Kunming, May, 2004.
Do we / why do we want to develop an ASM? Climate working group for WRF – workshop on model developments for climate studies with WRF (summary of.
Bias score versus precipitation threshold [mm/d] Model - observed precipitation [mm/d] Bias score at selected thresholds Pan-Arctic WRF Background Introduction.
Variability of Arctic Cloudiness from Satellite and Surface Data Sets University of Washington Applied Physics Laboratory Polar Science Center Axel J.
Climate System Research Center, Geosciences Alan Condron Peter Winsor, Chris Hill and Dimitris Menemenlis Changes in the Arctic freshwater budget in response.
IASC Workshop Potsdamr, Germany Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio, USA The Arctic System Reanalysis.
Michael Steele Polar Science Center / APL University of Washington Jan 14, 2009 AOMIP WHOI Mechanisms of Upper Ocean Warming in the Arctic and the Effect.
Revisiting the 26.5°C Sea Surface Temperature Threshold for Tropical Cyclone Development McTaggart-Cowan et al. (2015) Revisiting the 26.5°C Sea Surface.
McTaggart-Cowan et al. (2015)
Course Evaluation Now online You should have gotten an with link.
Analysis of WRF Model Ensemble Forecast Skill for 80 m over Iowa
Course Evaluation Now online You should have gotten an with link.
Recent Climate Change Modeling Results
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
Rita Roberts and Jim Wilson National Center for Atmospheric Research
WP3.10 : Cross-assessment of CCI-ECVs over the Mediterranean domain
Department of Geological and Atmospheric Sciences
Surface-Atmosphere Interactions
Presentation transcript:

Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High- Resolution Regional Arctic Climate System Model Iowa State University Role

Initial Goal Evaluation of - atmospheric model behavior - then coupled model behavior - with an eye toward links between atmosphere & surface that influence circulation and error propagation

Two New Graduate Students Justin Glisan (Ph.D.) Analyzing: RMS Differences: Pan-arctic MM5 vs. ERA-40 Propose: Evaluation of model by analyzing persistent extremes in model (atmosphere alone and/or coupled model) and observations Brandon Fisel (M.S.) Analyzing: SHEBA static stability vs. convergence/divergence of sea ice. Propose: Evaluation of model by focusing on episodes of strong air-sea interaction when gaps in ice appear

Work done Fall 07 with Ben Schwedler (hourly undergraduate) No data assimilation on interior

Work done Fall 07 with Ben Schwedler (hourly undergraduate) With data assimilation on interior

Work done Fall 07 with Ben Schwedler (hourly undergraduate) * Seem to be centered on model domain, not on the pole. Implies a geometric factor? But why high bias to sides and low toward center? * Appears that model's lows are deeper and (maybe) propagate more readily to the east. Perhaps highs are higher, too. * Storms seem to get much deeper and times and propagate more readily into the Arctic. Storm tracks shifted poleward? Is there a difference in sea ice or SST vs. reanalysis?

Recent Work done by Justin

Sea Ice Divergence near SHEBA Tower

Lapse Rate during Div/Conv Transition

Other items Effect of Permafrost Changes: Model of annual soil moisture fraction (b) Fixed annual precip. ET varies with b

Other items Chen, T.-C., J.-D. Tsay and W. J. Gutowski, 2008: A comparison study for three polar grids. J. Appl. Meteor. Clim. (accepted). “Wiring Diagram”