Brent/Fred/post-doc Mid-late 2004, benchmarking and basic validation of RAMS in East Africa, or previously optimized RegCM will save time on this Early.

Slides:

Advertisements

Similar presentations

What is the sum of the following infinite series 1+x+x2+x3+…xn… where 0

Advertisements

Uganda’s climate: change and variability Prof Chris Reason, UCT & Lead Author, WG1 AR5 Regional circulation and climate Climate variability Long-term projections.

1.Greenhouse Effect 2.The CO 2 Cycle, Long-Term Climate Change 3.Ice Ages and Short-Term Climate Change 4.Human-Induced Climate Change.

Introduction The agricultural practice of field tillage has dramatic effects on surface hydrologic properties, significantly altering the processes of.

Snow Trends in Northern Spain. Analysis and Simulation with Statistical Downscaling Methods Thanks to: Daniel San Martín, Sixto.

Clip meeting July 20, 2005 Items to discuss: 1.Planning RAMS model runs 1.Need to get benchmark for NCAR, have for other machines. 2.Also need to consider.

WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”

Development of GCM Based Climate Scenarios Richard Palmer, Kathleen King, Courtney O’Neill, Austin Polebitski, and Lee Traynham Department of Civil and.

Assessing The Impact of LULCC on The Greater Phoenix Area Matei Georgescu Center for Environmental Prediction – Rutgers University The Fourth Symposium.

T T18-05 Trend Adjusted Exponential Smoothing Forecast Purpose Allows the analyst to create and analyze the "Trend Adjusted Exponential Smoothing"

WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-4: Module- 3 Regional Climate.

Determining the Local Implications of Global Warming Professor Clifford Mass, Eric Salathe, Patrick Zahn, Richard Steed University of Washington.

1 Simulation Modeling and Analysis Verification and Validation.

T T07-01 Sample Size Effect – Normal Distribution Purpose Allows the analyst to analyze the effect that sample size has on a sampling distribution.

Demand Planning Scenario Overview

Application of seasonal climate forecasts to predict regional scale crop yields in South Africa Trevor Lumsden and Roland Schulze School of Bioresources.

SECC – CCSP Meeting November 7, 2008 Downscaling GCMs to local and regional levels Institute of Food and Agricultural Sciences Guillermo A. Baigorria

Climate data, Trends and Scenarios in Sri Lanka AS-12 Senaka Basnayake Center for Climate Change Studies (CCCS) Department of Meteorology Colombo Sri Lanka.

Weather and climate monitoring for food risk management G. Maracchi WMO, Geneva, November 2004 Weather and climate monitoring for food risk management.

Impact of Climate Change on Flow in the Upper Mississippi River Basin

Computer Simulation A Laboratory to Evaluate “What-if” Questions.

NCPP – needs, process components, structure of scientific climate impacts study approach, etc.

Step 6: Implementing Change. Implementing Change Our Roadmap.

CORDEX Scope, or What is CORDEX?  Provide a set of regional climate scenarios (including uncertainties) covering the period , for the majority.

Sensitivity Studies James Done NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this work is partially.

Zhang Mingwei 1, Deng Hui 2,3, Ren Jianqiang 2,3, Fan Jinlong 1, Li Guicai 1, Chen Zhongxin 2,3 1. National satellite Meteorological Center, Beijing, China.

Real-time integration of remote sensing, surface meteorology, and ecological models.

Land Use, Land Cover, and the Impacts of Climate Change in Agriculture Hexbin plot of MLCT raw vs. NLCD (left) and of MLCT adjusted crop versus Agland2000.

The CEDSS Model and the Scottish case study Gary Polhill and Nick Gotts 1.

Learning Common GIS Workflows Rudy Prosser & Michael Sarhan.

My full name is Truong Ba Kien Vietnam Institute of Meteorology Hydrology and Environment PhD training course 1|1|

Assessment of the impacts of and adaptations to climate change in the plantation sector, with particular reference to coconut and tea, in Sri Lanka. AS-12.

ASCENTIUM th Ave NE, Ste 225 Bellevue, WA t f ascentium.com PREPARED FOR Ascentium | October 22, 2015 | Page 1/10.

Down-scaling with historical meteorological data Integrative Questions Land Cover Development of the most representative cover for linking to the climate.

GCM-downscaled Future Precipitation Anomaly (Hewitson, 2004b) Phase 1: Identification - Finding Vulnerability.

The Tyndall Centre comprises nine UK research institutions. It is funded by three Research Councils - NERC, EPSRC and ESRC – and receives additional support.

Emerging Models for Human Dimensions Breakout Session.

Climate Scenario and Uncertainties in the Caribbean Chen,Cassandra Rhoden,Albert Owino Anthony Chen,Cassandra Rhoden,Albert Owino Climate Studies Group.

Evaluation and simulation of global terrestrial latent heat flux by merging CMIP5 climate models and surface eddy covariance observations Yunjun Yao 1,

Feng Zhang and Aris Georgakakos School of Civil and Environmental Engineering, Georgia Institute of Technology Sample of Chart Subheading Goes Here Comparing.

Hi Emily – This is set 5 of our detailed slides. Looking at heatwaves – recall Kristen defined a 95 th percentile for the months of May to October. Being.

The evolution of climate modeling Kevin Hennessy on behalf of CSIRO & the Bureau of Meteorology Tuesday 30 th September 2003 Canberra Short course & Climate.

Anthropogenic Land Cover Change Experiments in the CCSM Participants NCAR University of Kansas Gordon BonanJohannes Feddema Linda MearnsTrish Jackson Keith.

Monitoring and Modeling Climate Change Are oceans getting warmer? Are sea levels rising? To answer questions such as these, scientists need to collect.

Overview of Downscaling Approach. Hybrid Delta Downscaling Method Performed for each VIC grid cell: Hist. Daily Timeseries Hist. Monthly Timeseries Historic.

1 Simulation Scenarios. 2 Computer Based Experiments Systematically planning and conducting scientific studies that change experimental variables together.

The Tyndall Centre comprises nine UK research institutions. It is funded by three Research Councils - NERC, EPSRC and ESRC – and receives additional support.

Krzysztof Genser/Fermilab For the Fermilab Geant4 Performance Team.

Sensitivity of RegCM3 to landuse changes and soot aerosol inputs over southern Africa V. Pont, G. Rualo and H. Chikoore.

Mini-CLIP – Nov Case study studies for input to LTM, Mabel, some NPP In Lucid sites with LTM & Mabel: Relative importance of site drivers and “agents”

Group 14: East Asia Members: Gomboluudev (Mongolia), Kwon (Korea), Nguyen (Vietnam) Land Use and Cumulus Scheme Studies Using RegCM3.

ERCOT PUBLIC 3/25/ RTP Inputs and Assumptions March 25, 2014.

Downscaling and Why Local Predictions are Difficult to Make Preparing Your Coast.

L04 Workshop #2 Phoenix, AZ February 27, Desired Outcomes Analysis Framework Plan Working Outline  Leverage Data Collection Plan & Stakeholder.

1 CL2.16 Urban climate, urban heat island and urban biometeorology H How to obtain atmospheric forcing fields for Surface Energy Balance models in climatic.

Meeting of ICP Regional Coordinating Agencies Brief overview of ICP interim activities African Development Bank March 1, 2015, New York.

Applications of Downscaling in Assessing Impacts of Climate Change: Challenges and Unanswered Questions Subimal Ghosh Department of Civil Engg. and IDP.

CLIP – Linkages between Land Cover and Regional Climate

Global Circulation Models

Climate , Climate Change, and climate modeling

CREWS West Africa Regional Work Plan

How will the earth’s temperature change?

Stochastic Storm Rainfall Simulation

Helping Parks Understand Future Air Quality

PAIN OUT network in Mexico

Best Practices for Migrating Custom Views in TrueSight Console

The story of Ruth The story of Ruth Route B English Age 7-11.

Learning Common GIS Workflows

The story of Ruth The story of Ruth Route C Age 7-8.

The story of Ruth The story of Ruth Route A Influence Age 7-11.

Presentation transcript:

Brent/Fred/post-doc Mid-late 2004, benchmarking and basic validation of RAMS in East Africa, or previously optimized RegCM will save time on this Early 2006, completion of arbitrarily chosen land cover perturbation cases of model Going forward—further refinement of LULC scenarios (with input from LU group) and full feedback

Jean Training of statistical downscaling methods, mid Analysis of long-term time series, early 2005

Ruth Relating climate to biome types--BIOME-III 2004 Analysis of monthly time series, relating this to circulation types. 2005

Jeff/Phil Prepare Model Simulations, collect, process necessary weather, auxiliary data (Eco: DEC 03, Ag.: SUM 04) Validate simulations, run with historical data, process/analyze output (Eco: SUM 04, Ag. WIN 04) Run sims with projected future data, analyze output, interactive sims with LULC (Eco: WIN 04, Ag: FAL 06)