Developments at GFDL Leo Donner WGNE, Tokyo, 20 October 2010.

Slides:



Advertisements
Similar presentations
Operational Numerical Forecasting on Tropical Cyclones Yuqing Wang International Pacific Research Center and Department of Meteorology University of Hawaii.
Advertisements

WCRP polar climate predictability initiative Vladimir Ryabinin
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
University of Reading 2007www.nerc-essc.ac.uk/~rpa Observed and simulated changes in water vapour, precipitation and the clear-sky.
Richard D. Rosen Richard D. Rosen Senior Advisor for Climate Research Jin Huang Jin Huang Deputy Director Modeling, Analysis, Predictions, and Projections.
1 Dynamical Polar Warming Amplification and a New Climate Feedback Analysis Framework Ming Cai Florida State University Tallahassee, FL 32306
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
© European Centre for Medium-Range Weather Forecasts Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer.
Simulating cloud-microphysical processes in CRCM5 Ping Du, Éric Girard, Jean-Pierre Blanchet.
Whitecaps, sea-salt aerosols, and climate Magdalena D. Anguelova Physical Oceanography Dissertation Symposium College of Marine Studies, University of.
1 William. M. Lapenta and John C. Derber Environmental Modeling Center NOAA/NWS/NCEP Next Generation Operational Global Model Development at NCEP.
Dynamical responses to volcanic forcings in climate model simulations DynVar workshop Matthew Toohey with Kirstin Krüger, Claudia Timmreck, Hauke.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Discretizing the Sphere for Multi-Scale Air Quality Simulations using Variable-Resolution Finite-Volume Techniques Martin J. Otte U.S. EPA Robert Walko.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
The Problem of Parameterization in Numerical Models METEO 6030 Xuanli Li University of Utah Department of Meteorology Spring 2005.
Tropical Cyclone Intensities: Recent observational studies and simulated response to CO2-induced warming Thomas R. Knutson NOAA/Geophysical Fluid Dynamics.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
GFDL’s global non-hydrostatic modeling system for multi-time-scale tropical cyclone simulations and predictions Shian-Jiann Lin with contributions from:
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Projections of Future Atlantic Hurricane Activity Hurricane Katrina, Aug GFDL model simulation of Atlantic hurricane activity Tom Knutson NOAA /
Preliminary Experiments with a Dynamics-Based PDF Parameterization for Boundary Layers and Associated Clouds in GCMs Leo Donner, Huan Guo, and Chris Golaz.
Climate modeling Current state of climate knowledge – What does the historical data (temperature, CO 2, etc) tell us – What are trends in the current observational.
Outline Further Reading: Detailed Notes Posted on Class Web Sites Natural Environments: The Atmosphere GG 101 – Spring 2005 Boston University Myneni L31:
Atlantic Hurricanes and Climate Change: Modeling Studies Hurricane Katrina, Aug GFDL model simulation of Atlantic hurricane activity Tom Knutson.
National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory Princeton, NJ Evolution of Stratospheric.
1 NGGPS Dynamic Core Requirements Workshop NCEP Future Global Model Requirements and Discussion Mark Iredell, Global Modeling and EMC August 4, 2014.
Presented by: Mark Iredell based on work done by Global Climate and Weather Modeling Branch 2014 NCEP Production Suite Review GLOBAL MODELING 1.
outline Motivation: strato-cumulus, aerosol effect
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Overview of Coupled Model Intercomparison Project (CMIP) and IPCC AR5 Activities Ronald J Stouffer Karl Taylor, Jerry Meehl and many others June 2009.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
4. Models of the climate system. Earth’s Climate System Sun IceOceanLand Sub-surface Earth Atmosphere Climate model components.
The NASA Modeling, Analysis and Prediction (MAP) Modeling Environment Don Anderson NASA HQ Sience Mission Directorate Earth-Sun Division Manager, Modeling,
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
The Hurricane Weather Research & Forecasting (HWRF) Prediction System Next generation non-hydrostatic weather research and hurricane prediction system.
Operational Global Model Plans John Derber. Timeline July 25, 2013: Completion of phase 1 WCOSS transition August 20, 2013: GDAS/GFS model/analysis upgrade.
Importance of Winds for Climate and Stratospheric Processes Mike Hardesty NOAA Earth System Research Lab Boulder, CO
High Resolution Climate Modelling in NERC (and the Met Office) Len Shaffrey, University of Reading Thanks to: Pier Luigi Vidale, Jane Strachan, Dave Stevens,
Clouds, Aerosols and Precipitation GRP Meeting August 2011 Susan C van den Heever Department of Atmospheric Science Colorado State University Fort Collins,
Climate Modeling at GFDL: The Scientific Challenges V. Ramaswamy NOAA/ Geophysical Fluid Dynamics Laboratory November 12, 2008.
Jin Huang Deputy Director Modeling, Analysis, Predictions, and Projections (MAPP) Program NOAA Climate Program Office October 28, 2010 NOAA and CPT.
Page 1© Crown copyright 2006 Matt Huddleston With thanks to: Frederic Vitart (ECMWF), Ruth McDonald & Met Office Seasonal forecasting team 14 th March.
Status of the Sea Ice Model Testing of CICE4.0 in the coupled model context is underway Includes numerous SE improvements, improved ridging formulation,
1 Next Generation of NR Michiko Masutani January 2009.
CPPA Past/Ongoing Activities - Ocean-Atmosphere Interactions - Address systematic ocean-atmosphere model biases - Eastern Pacific Investigation of Climate.
Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model Hiroyuki Murakami (AESTO/MRI, Japan) Akio.
(Mt/Ag/EnSc/EnSt 404/504 - Global Change) Climate Models (from IPCC WG-I, Chapter 10) Projected Future Changes Primary Source: IPCC WG-I Chapter 10 - Global.
Research Needs for Decadal to Centennial Climate Prediction: From observations to modelling Julia Slingo, Met Office, Exeter, UK & V. Ramaswamy. GFDL,
AMWG Breakout, CCSM Workshop June 25, 2002 Overview of CAM status and simulations Bill Collins and Dave Randall National Center for Atmospheric Research.
Large Eddy Simulation of Low Cloud Feedback to a 2-K SST Increase Anning Cheng 1, and Kuan-Man Xu 2 1. AS&M, Inc., 2. NASA Langley Research Center, Hampton,
The evolution of climate modeling Kevin Hennessy on behalf of CSIRO & the Bureau of Meteorology Tuesday 30 th September 2003 Canberra Short course & Climate.
OCO 10/27/10 GFDL Activities in Decadal Intialization and Prediction A. Rosati, S. Zhang, T. Delworth, Y. Chang, R. Gudgel Presented by G. Vecchi 1. Coupled.
An Atmosphere-Ocean coupled model Morris, A., Bender and Isaac Ginis, 2000 : Real-case simulations of hurricane-ocean interaction using a high-resolution.
The GEOS-5 AOGCM List of co-authors Yury Vikhliaev Max Suarez Michele Rienecker Jelena Marshak, Bin Zhao, Robin Kovack, Yehui Chang, Jossy Jacob, Larry.
Implementation Plan for CCSM 4 CCSM 4 needs to be ready by the end of 2008 for AR5 in early 2013.
Remote sensing and modeling of cloud contents and precipitation efficiency Chung-Hsiung Sui Institute of Hydrological Sciences National Central University.
NAME SWG th Annual NOAA Climate Diagnostics and Prediction Workshop State College, Pennsylvania Oct. 28, 2005.
Many models show a substantial drop off in droplet number away from the coast as is observed. Models’ vertical distribution of droplet number is surprisingly.
1 Next Generation of NR Michiko Masutani November 20, 2008.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
SEASONAL PREDICTION OVER EAST ASIA FOR JUNE-JULY-AUGUST 2017
Massachusetts Institute of Technology
Shuyi S. Chen, Ben Barr, Milan Curcic and Brandon Kerns
Ronald J Stouffer Karl Taylor, Jerry Meehl and many others
Schumacher, R., S., and J. M. Peters, 2017
Modeling the Atmos.-Ocean System
20th Century Sahel Rainfall Variability in IPCC Model Simulations and Future Projection Mingfang Ting With Yochanan Kushnir, Richard Seager, Cuihua Li,
GFDL-NCAR/CCSM collaborations
Presentation transcript:

Developments at GFDL Leo Donner WGNE, Tokyo, 20 October 2010

CM3: Atmosphere-Ocean-Land-Sea Ice Model with Aerosol-Cloud Interactions Decadal Prediction Model Earth-System Models High-Resolution Atmospheric Models Parameterization and Climate Processes Global Model and Parameterization Development

CM3 Integrations Lead, Larry Horowitz CM3 and ESM IPCC AR5 Integrations Underway

CM3: First GFDL Climate Model with Indirect Aerosol Effects CM2.1 (no indirect effect)0.66°C CM3 (includes indirect effect)0.32°C GISS Observations0.52°C CRU Observations0.56°C Globally Averaged Temperature Change ( ) minus ( ) (5-member ensembles for models) (from Donner et al., 2010, J. Climate, submitted) CM3 cloud-aerosol interactions from physically based aerosol activation driven by sub-grid PDFs of vertical velocity in shallow cumulus and stratiform clouds (Ming et al., 2006, JAS; Golaz et al., 2010, JCL, submit).

from Donner et al. (2010, J. Climate, submitted)

Taylor diagrams from Donner et al. (2010, J. Climate, submitted)

Taylor Diagrams for TOA Radiation Fields from Donner et al. (2010, J. Climate, submitted)

Coupled Data Assimilation is enabling major improvement in ENSO prediction.

3Dvar CDA Anomaly Correlation Coeff norm RMS errors NINO3 SSTA forecast skills Initial Time Jan Dec Jan Dec Initial Time Lead Time Jan Dec Jan (from Tony Rosati, GFDL)

High-Resolution Atmospheric Modeling: Atlantic Hurricanes and Anthropogenic Warming NCEP Analysis or CMIP-3 SST, mean atmospheric state ZETAC 18-km horizontal grid non-hydrostatic limited-area model (no cumulus param) GFDL and GFDN operational hurricane model

Published by AAAS M. A. Bender et al., Science 327, (2010) Fig. 1 Simulated and observed histograms of maximum surface wind speed (m/s) in the Atlantic basin

Published by AAAS M. A. Bender et al., Science 327, (2010) Fig. 3 (Left) Tracks for all storms reaching category 4 or 5 intensity, for the control and the warmed 18- model ensemble conditions, as obtained using the GFDL/NWS hurricane model

Published by AAAS M. A. Bender et al., Science 327, (2010) Fig. 4 Model tracks for all storms that eventually reached category 4 or 5 intensity, for the control (top) and the warm climate conditions provided by the four individual CMIP3 models

A CPT for Cloud Parameterization and Aerosol Indirect Effects Supported by

3 - Close 2 - Select 1 - Prognose Building a PDF-based parameterization Advance prognostic moment equationsSelect PDF from functional form to match moments Use PDF to close higher-order moments, buoyancy terms Diagnose cloud fraction, liquid water, droplet number from PDF Adapted from Golaz et al. 2002a,b (JAS)

from Guo et al. (2010, Geosci. Mod. Dev. Disc.)

AM3 Single Column Model using Multi-Variate Probability Density Function with Dynamics, Aerosol Activation, and Double- Moment Microphysics from Guo et al. (2010, Geosci. Model Dev. Discuss.)

NOAA Climate Modeling and Research System (CMRS) Elements and Schedule of the Subcontract Award to Cray, Inc May

CMRS TF FY 2010 FY 2011FY 2012 FY 2013 FY 2014 CMRS TF CMRS.1 UPG 386 TF CMRS TF CMRS TF 260 TF 980 TF 1.1 PF CMRS.1 Installation CMRS.1 Installation CMRS.2 Installation CMRS.2 Installation Negotiated Options for both FY2015 and FY2016 CMRS.1 Operational NLT 1 Oct 2010 CMRS.2 Operational NLT 1 Oct 2011 NOAA Climate Modeling and Research System (CMRS) Computing Capability Timeline at Oak Ridge National Lab

Summary GFDL, in support of IPCC AR5, has developed a new generation of coupled physical and earth-system models. Integrations for AR5 are mostly completed. Multiple nesting approach has provided framework for considering tropical cyclones and anthropogenic warming. Coupled ocean-atmosphere data assimilation promising for ENSO prediction NSF/NOAA Climate Process Teams active New off-site computing

AM3/LM3: Atmosphere and Land in CM3 23 Interactive chemistry to link emissions to aerosol composition Sub-grid vertical velocity PDFs for convective and stratiform clouds => Supersaturation at cloud scale for aerosol activation on sulfate/black carbon, organic carbon, and sea salt Stratospheric model for chemistry and possible links to troposphere on multi-year time scales (e.g., Southern Hemisphere Annular Mode) More realistic land precipitation for land carbon and nitrogen models Cubed-sphere finite-volume dy-core Dynamic vegetation model with hydrology and land use What is NEW in AM3?

Parameterizations based on sub-grid PDFs of vertical velocity have been implemented in AM3 Deep convection: Donner et al. (2001, J. Climate), Wilcox and Donner (2007, J. Climate) Shallow convection: Bretherton et al. (2004, Mon. Wea. Rev.) implemented by Ming Zhao Stratiform: modfication of Tiedtke (1993, Mon. Wea. Rev.) by Chris Golaz, to include w PDF for activation only