'Multi model' presentation slideshows

Overview

Overview. Scientific Advisory Committee Meeting 3 December 2007. SAC members and agency colleagues - Welcome to ! (and thanks for coming a second time in 2007). COLA Scientific Advisory Committee The SAC reviews and advises on scientific activities at COLA.

617 views • 47 slides

Multi-model ensemble predictions on seasonal timescales

Multi-model ensemble predictions on seasonal timescales. Tim Stockdale/Antje Weisheimer European Centre for Medium-Range Weather Forecasts. Structure of the lecture. The multi-model concept Results from DEMETER

570 views • 45 slides

S2D Prediction Activities at CCCma(p)

S2D Prediction Activities at CCCma(p). HFP2 (2-tier seasonal) basis of CMC operational forecasts Analyses Trend in SIP forecasts CHFP1 and 2 (1-tier seasonal/interannual) initial approach and results analyses and initialization development path DHFP (decadal)

535 views • 43 slides

Theoretical Review of Seasonal Predictability In-Sik Kang

Theoretical Review of Seasonal Predictability In-Sik Kang. (b) Forced variance. Forced variance Climate signals caused by external forcing. (a) Total variance. (c) Free variance. Free variance Intrinsic transients due to natural variability.

429 views • 34 slides

Model uncertainty in climate forecasting from seasons to decades: the ENSEMBLES project

Model uncertainty in climate forecasting from seasons to decades: the ENSEMBLES project. Francisco J Doblas-Reyes ECMWF, Reading, UK. Outline. Description of the ENSEMBLES project. Hindcast production in ENSEMBLES: Streams 1 and 2.

455 views • 32 slides

Oscar Alves and the POAMA Team CAWCR (Centre for Australian Weather and Climate Research)

Current status and strategy of CGCM and ocean analysis system developments in Australia. Oscar Alves and the POAMA Team CAWCR (Centre for Australian Weather and Climate Research) Australian Bureau of Meteorology.

440 views • 32 slides

Hurricane Forecast Improvement Project (HFIP)

Hurricane Forecast Improvement Project (HFIP). Bob Gall HFIP Development Manager Boulder, Colorado June 26, 2012. The HFIP Project Vision/Goals. Vision Organize the hurricane community to dramatically improve numerical forecast guidance to NHC in 5-10 years Goals

397 views • 29 slides

On the value of reforecasts for the TIGGE database

On the value of reforecasts for the TIGGE database. Tom Hamill NOAA/ESRL/PSD. Renate Hagedorn European Centre for Medium-Range Weather Forecasts. Motivation. One goal of TIGGE is to investigate whether multi-model predictions are an improvement to single model forecasts

496 views • 27 slides

Paul Byrnes, Principal and CEO, Integrated System Diagnostics

355 views • 26 slides

On representing model uncertainty in climate predictions

On representing model uncertainty in climate predictions. T.N.Palmer ECMWF. with thanks to Francisco Doblas-Reyes, Thomas Jung and Antje Weisheimer, ECMWF. Initial uncertainty. Scenario uncertainty. Scenario uncertainty. Model uncertainty. Model uncertainty. Hawkins and Sutton, 2009.

472 views • 26 slides

Seasonal forecasts Laura Ferranti and the Seasonal Forecast Section

Seasonal forecasts Laura Ferranti and the Seasonal Forecast Section. User meeting 15-17 June 2005. Outline:. Performance 2004-2005 Drought conditions over the Iberian peninsula Progress with the multi-model system Some results from the experimentation done to test the next system (S3).

400 views • 25 slides

International Workshop on Monthly-to-Seasonal Climate Prediction

International Workshop on Monthly-to-Seasonal Climate Prediction National Taiwan Normal Univ., 25-26 October 2003. Evaluation of the APCN Multi-Model Ensemble Prediction System. AP EC C limate N etwork. Woo-Sung Lee / APCN Secretariat. Contents. Objectives

360 views • 24 slides

The Effect of North Pacific SST Anomalies on the

The Effect of North Pacific SST Anomalies on the January Climate of a General Circulation Model: JAS 1988 Pitcher, Blackmon, Bates, Munoz. Winter 1976-77 OBS 200 mb Height Anomalies. 192. -225. US Winter Surface Temperatures. CCM0 200 mb Response To Pacific SST

353 views • 24 slides

The CMIP multi model ensemble and IPCC: Lessons learned and questions arising

The CMIP multi model ensemble and IPCC: Lessons learned and questions arising. Reto Knutti Institute for Atmospheric and Climate Science ETH Zurich, Switzerland reto.knutti@env.ethz.ch. ETH Zurich | Reto Knutti. Contents. Motivation Sampling in a multi model ensemble

307 views • 19 slides

278 views • 16 slides

Outline Introduction: E-RTFDDA New enhancement to E-RTFDDA Preliminary verification

Integration of NCAR DART-EnKF to NCAR-ATEC multi-model, multi-physics and mutli- perturbantion ensemble-RTFDDA (E-4DWX) forecasting system.

289 views • 16 slides

GLASS GEWEX Global Land-Atmosphere System Study

GSWP. GLASS GEWEX Global Land-Atmosphere System Study. Proposal for a PILPS Experiment in semi-arid sites. L. A. Bastidas. B. Nijssen, H. Gupta, W. Emmerich, and E. Small. Photo National Geographic. 1997. 1998. 1999. 2000. Split sample tests. AZ. AZ to NM. New Mexico sites

284 views • 16 slides

Seasonal Forecasting From DEMETER to ENSEMBLES

326 views • 16 slides

Overview of Seasonal-to-Decadal (s2d) Activities during the Initial 18 Months

Overview of Seasonal-to-Decadal (s2d) Activities during the Initial 18 Months. Francisco J. Doblas Reyes European Centre for Medium-Range Weather Forecasts. RT1 activities. RT1: Development of the EPS Aim: assess best method to estimate model uncertainty.

240 views • 15 slides

Global Model Simulation of Clouds in CMIP5 and CMIP3

Global Model Simulation of Clouds in CMIP5 and CMIP3. Axel Lauer and Kevin Hamilton J. Climate , in press.

141 views • 1 slides