Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 6th.

Slides:



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

1 Trend and Year-to-year Variability of Land-Surface Air Temperature and Land-only Precipitation Simulated by the JMA AGCM By Shoji KUSUNOKI, Keiichi MATSUMARU,
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 7th.
Freshwater Initiative 1 st All-Hands meeting, Boulder, February
Climatology and Climate Change in Athena Simulations Project Athena Team ECMWF, June 7, 2010.
John J. Cassano, Matthew Higgins, Alice DuVivier University of Colorado Wieslaw Maslowski, William Gutowski, Dennis Lettenmaier, Andrew Roberts.
Task: (ECSK06) Regional downscaling Regional modelling with HadGEM3-RA driven by HadGEM2-AO projections National Institute of Meteorological Research (NIMR)/KMA.
INTRODUCTORY PHYSICAL GEOGRAPHY. This is NOT a class about remembering the names, locations, or measures of physical features and natural phenomena around.
Chukchi/Beaufort Seas Surface Wind Climatology, Variability, and Extremes from Reanalysis Data: Xiangdong Zhang, Jeremy Krieger, Paula Moreira,
© Crown copyright Met Office Regional/local climate projections: present ability and future plans Research funded by Richard Jones: WCRP workshop on regional.
Some Discussion Points What metrics should be used for comparing observations? What distributional metrics could readily be used? Is anybody playing with.
Dynamical Downscaling of CCSM Using WRF Yang Gao 1, Joshua S. Fu 1, Yun-Fat Lam 1, John Drake 1, Kate Evans 2 1 University of Tennessee, USA 2 Oak Ridge.
Recent performance statistics for AMPS real-time forecasts Kevin W. Manning – National Center for Atmospheric Research NCAR Earth System Laboratory Mesoscale.
YODEN Shigeo Dept. of Geophysics, Kyoto Univ., JAPAN March 3-4, 2005: SPARC Temperature Trend Meeting at University of Reading 1.Introduction 2.Statistical.
WCRP Metrics/Methodologies for Extremes September 2010 Based in part on … Some Scale Considerations for Predicting/Projecting Extreme Precipitation William.
Explaining Changes in Extreme U.S. Climate Events Gerald A. Meehl Julie Arblaster, Claudia Tebaldi.
The North American Monsoon System: Recent Evolution and Current Status Update prepared by Climate Prediction Center / NCEP 05 August 2013.
The North American Monsoon System: Recent Evolution and Current Status Update prepared by Climate Prediction Center / NCEP 27 August 2013.
Regional Climate Modeling in the Source Region of Yellow River with complex topography using the RegCM3: Model validation Pinhong Hui, Jianping Tang School.
The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental.
WRF SLP Bias Issues Update from Santa Cruz meeting Matt Higgins John Cassano May 18,
© Crown copyright Met Office Climate Projections for West Africa Andrew Hartley, Met Office: PARCC national workshop on climate information and species.
Image courtesy of NASA/GSFC. PROJECT TO INTERCOMPARE REGIONAL CLIMATE SIMULATIONS Climate Change: Use of Climate Science in Decision-making Eugene S.
NARCCAP Users Meeting April 2011 Results from NCEP-driven RCMs Overview Based on Mearns et al. (BAMS, 2011) Results from NCEP-driven RCMs Overview Based.
ISU Atmospheric Component Update – Part I 3 rd RASM Workshop 2012 Fall Justin Glisan Iowa State University.
Characteristics of Extreme Events in Korea: Observations and Projections Won-Tae Kwon Hee-Jeong Baek, Hyo-Shin Lee and Yu-Kyung Hyun National Institute.
1 Climate Ensemble Simulations and Projections for Vietnam using PRECIS Model Presented by Hiep Van Nguyen Main contributors: Mai Van Khiem, Tran Thuc,
Changes in Floods and Droughts in an Elevated CO 2 Climate Anthony M. DeAngelis Dr. Anthony J. Broccoli.
Precipitation Intensity Climate Impacts Group & Department of Atmospheric Sciences University of Washington Eric Salathé.
June 16th, 2009 Christian Pagé, CERFACS Laurent Terray, CERFACS - URA 1875 Julien Boé, U California Christophe Cassou, CERFACS - URA 1875 Weather typing.
Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High- Resolution Regional Arctic.
Regional Air-Sea Interactions in Eastern Pacific 6th International RSM Workshop Palisades, New York July 11-15, th International RSM Workshop Palisades,
The climate and climate variability of the wind power resource in the Great Lakes region of the United States Sharon Zhong 1 *, Xiuping Li 1, Xindi Bian.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 3rd.
Towards development of a Regional Arctic Climate System Model --- Coupling WRF with the Variable Infiltration Capacity land model via a flux coupler Chunmei.
The European Heat Wave of 2003: A Modeling Study Using the NSIPP-1 AGCM. Global Modeling and Assimilation Office, NASA/GSFC Philip Pegion (1), Siegfried.
Mechanisms of drought in present and future climate Gerald A. Meehl and Aixue Hu.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
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.
The North American Monsoon System: Recent Evolution and Current Status Update prepared by Climate Prediction Center / NCEP 01 July 2013.
NARCCAP Meeting September 2009 Results from NCEP-driven RCMs ~ Overview ~ Results from NCEP-driven RCMs ~ Overview ~ William J. Gutowski, Jr. & Raymond.
Applying a standing-travelling wave decomposition to the persistent ridge-trough over North America during winter 2013/14 Oliver Watt-Meyer Paul Kushner.
Fig Decadal averages of the seasonal and annual mean anomalies for (a) temperature at Faraday/Vernadsky, (b) temperature at Marambio, and (c) SAM.
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.
PROJECT TO INTERCOMPARE REGIONAL CLIMATE SIMULATIONS Climate Change: Global Causes and Midwest Consequences Eugene S. Takle, PhD, CCM Professor of Atmospheric.
Publications An intro RASM paper (BAMS/EGU/J. Clim) – Model description (components, coupler, challenges resolved/outstanding, community effort) – Best/typical.
VERIFICATION OF A DOWNSCALING SEQUENCE APPLIED TO MEDIUM RANGE METEOROLOGICAL PREDICTIONS FOR GLOBAL FLOOD PREDICTION Nathalie Voisin, Andy W. Wood and.
1 Xiaoyan Jiang, Guo-Yue Niu and Zong-Liang Yang The Jackson School of Geosciences The University of Texas at Austin 03/20/2007 Feedback between the atmosphere,
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.
Bias score versus precipitation threshold [mm/d] Model - observed precipitation [mm/d] Bias score at selected thresholds Pan-Arctic WRF Background Introduction.
ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE, Borki Molo, Poland, 7-10 February 2007 Extreme Climatic and atmospheric.
Sea-ice albedo, clouds, and cloud-radiation interactions in the Arctic in the CMIP5 model ensemble Johannes Karlsson and Gunilla Svensson Department of.
29th Climate Diagnostic and Prediction Workshop 1 Boundary and Initial Flow Induced Variability in CCC-GCM Amir Shabbar and Kaz Higuchi Climate Research.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
Actions & Activities Report PP8 – Potsdam Institute for Climate Impact Research, Germany 2.1Compilation of Meteorological Observations, 2.2Analysis of.
IASC Workshop Potsdamr, Germany Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio, USA The Arctic System Reanalysis.
Yinghui Liu1, Jeff Key2, and Xuanji Wang1
Tanya L. Spero1, Megan S. Mallard1, Stephany M
Antecedent Environments Conducive to the Production of Extreme Temperature and Precipitation Events in the United States Andrew C. Winters, Daniel Keyser,
Regional and Global Ramifications of Boundary Current Upwelling
Polar Climate Change in CCSM3: Climatology and trend
Recent Climate Change Modeling Results
University of Washington Center for Science in the Earth System
Department of Geological and Atmospheric Sciences
Polar WRF (Ohio State Modifications)
Surface-Atmosphere Interactions
Scott C. Runyon and Lance F. Bosart
Vladimir S. Platonov, Mikhail I. Varentsov
Presentation transcript:

Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 6th DOE/RACM Meeting: Boulder, CO 1Justin Glisan, Iowa State University

Outline Update since Santa Cruz CORDEX Production runs – Era-Interim Reanalysis – – Arctic CORDEX Domain – Six member ensemble Observational Analysis of Extremes Spectral Nudging on the wr50a domain 2Justin Glisan, Iowa State University

Update since Santa Cruz Three inter-connected projects – CORDEX production runs – Observational analysis of extremes – Spectral nudging (Based on Matt Higgins work at CU) Running RACM CCSM12 on Pingo

CORDEX Production Runs CU physics Era-Interim Reanalysis NSIDC sea ice 4Justin Glisan, Iowa State University

PAW on Arctic CORDEX WRFV3.1.0 w/ CU Physics Arctic CORDEX Domain Forcing data sets: – Era-Interim Reanalysis – NSIDC Bootstrap Fractional Sea Ice Six-member ensemble – One day stagger (01-06 January 1989) – January December 2007 Justin Glisan, Iowa State University5

January 1999July 1999

January 2007 July 2007

Obs. RMSD and Variability Reanalysis RMSD provides another measure of internal variability in the atmosphere Magnitudes of both RMSD curves correspond to a high degree, including the seasonal variability. Thus, the model versus reanalysis RMSD: May have a considerable dependence on unforced, quasi-random internal variability Also simulates the annual cycle of that variability

17Justin Glisan, Iowa State University Observational Analysis of Extremes North American stations Precipitation and Temperature

Domain of Interest Arctic CORDEX Domain ( ) NCDS Global Summary of the Day – Around 150 stations – Precipitation and Temperature Four analysis boxes – Based on the climatological record, weather patterns – Physical location within the domain

Each station is considered an individual realization within each box; hence each realization has a large number of samples, adding many degrees of freedom for statistical analysis. Observations are ordered and ranked by precipitation amount or temperature and then using the 95th percentile the extreme values are found using a suite of statistical programs. Further analysis is performed to determine extreme temporal and spatial regimes in temperature and precipitation.

Spectral Nudging on wr50a Domain RACM Atmospheric Domain Four different nudging coefficients

PAW Setup on wr50a WRFV3.1.1 w/ CU physics Full spectral nudging option Three-member ensemble (one day stagger) Two cases: – Winter case: January 2007 (initialized in Dec.) – Summer case: July 2007 (initialized in June) Four nudging coefficients – Full (WRF default) – 1/2, 1/4, 1/8

ISU Polar WRF Brandon Fisel Iowa State University Department of Geological and Atmospheric Sciences RACM May 2010

Outline RACM May 2010 Motivations Model setup Short-term behavior Longer simulation results

Definitions RACM May 2010 BinaryFraction 00% - 49% 150% - 100%

Motivations RACM May 2010 WRF sea-ice: fraction v. binary Fractions ocean-atmosphere interactions dynamical behavior climatological behavior

2007, July Sea Ice RACM May 2010 July 2007 Large area, >50%

Model Setup RACM May 2010 Cordex domain 50-km res F; Fraction B; Binary B F/B B

Model Setup (cont…) RACM May 2010 Ensemble Taschetto et al. 8 members BC:6-hr; 12-hr sea ice 2 treatments fraction/binary

Simulations RACM May 2010 Init. ~1.5-2 weeks May 24, 2007 Target – June 6, 2007 sea-ice >50%

2-week Behavior RACM May 2010 Short-term 2 weeks May - June

RACM May week Behavior (cont…) F-B F-B(1-4) F-B(5-8) MSLP

MSLP Avg. RACM May 2010

MSLP Avg. (cont…) RACM May 2010

MSLP Avg. (cont…) RACM May 2010

MSLP Avg. (cont…) RACM May 2010

MSLP Avg. (cont…) RACM May 2010

MSLP Avg. (cont…) RACM May 2010

MSLP Avg. (cont…) RACM May 2010

August RACM May 2010

October RACM May 2010

Aug/Oct Differences RACM May 2010

October 2m-T RACM May 2010

Concluding Remarks RACM May 2010 August differences unforced bifurcation October differences low-level T differences occur along focus area significant?

Questions RACM May 2010

Daily Variance RACM May 2010

Daily Variance (cont…) RACM May 2010

ENS-Large RACM May 2010

ENS-Large (cont…) RACM May 2010

ENS-Large (cont…) RACM May 2010

ENS-Large (cont…) RACM May 2010

ENS-Large (cont…) RACM May 2010