April 2013 Climate Change Projections for African Urban Areas EGU General Assembly 20013 Ingo Simonis, Francois Engelbrecht, Edoardo Bucchignani, Paola.

Slides:



Advertisements
Similar presentations
COSMO User Seminar 2012 Offenbach, 8 March 2012
Advertisements

Willem A. Landman & Francois Engelbrecht.  Nowcasting: A description of current weather parameters and 0 to 2 hours’ description of forecast weather.
(Mt/Ag/EnSc/EnSt 404/504 - Global Change) Climate Models (from IPCC WG-I, Chapter 8) Climate Models Primary Source: IPCC WG-I Chapter 8 - Climate Models.
Alan Robock Department of Environmental Sciences Rutgers University, New Brunswick, New Jersey USA
Scaling Laws, Scale Invariance, and Climate Prediction
Projected climate futures for southern Africa Francois Engelbrecht CSIR Natural Resources and the Environment Climate Studies, Modelling and Environmental.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
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.
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.
Earth Systems Science Chapter 6 I. Modeling the Atmosphere-Ocean System 1.Statistical vs physical models; analytical vs numerical models; equilibrium vs.
Topic 6: Climate change and climate models in Colombia.
Outline Further Reading: Detailed Notes Posted on Class Web Sites Natural Environments: The Atmosphere GG 101 – Spring 2005 Boston University Myneni L31:
WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-4: Module- 3 Regional Climate.
National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory Princeton, NJ Evolution of Stratospheric.
Determining the Local Implications of Global Warming Clifford Mass University of Washington.
Implications of global climate change over the mountain areas of western North America Professor Clifford Mass, Eric Salathe, Richard Steed University.
Coupled Ocean- Atmosphere General/Global Circulation Models ~100km horizontal res’n; Finer (~2) for ocean than atmosphere. ~20 layers atmosphere; ~20 layers.
Coupled Ocean- Atmosphere General/Global Circulation Models ~100km horizontal res’n; Finer (~2) for ocean than atmosphere. ~20 layers atmosphere; ~20 layers.
Impact of Sea Surface Temperature and Soil Moisture on Seasonal Rainfall Prediction over the Sahel Wassila M. Thiaw and Kingtse C. Mo Climate Prediction.
Anthropogenic Climate Change The Greenhouse Effect that warms the surface of the Earth occurs because of a few minor constituents of the atmosphere.
Global Climate Change: Implications for South Africa Bruce Hewitson: Climate Systems Analysis Group (CSAG), University of Cape Town.
The CCAM multi-scale variable-resolution modelling system at CSIR
© CSIR Quasi- uniform C48 grid with resolution about 210 km Climate Modelling at the CSIR NRE NWP and RCM capacity build around the.
© Crown copyright Met Office Climate Projections for West Africa Andrew Hartley, Met Office: PARCC national workshop on climate information and species.
Rapid Ecoregional Assessment. Climate was primarily modeled using models and data from the Scenarios Network for Alaska and Arctic Planning. See
Sensitivity Studies James Done NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this work is partially.
Helgi Björnsson, Institute of Earth Sciences, University of Iceland, Reykjavik, Iceland Contribution of Icelandic ice caps to sea level rise: trends and.
Uncertainty in climate scenarios when downscaling with an RCM M. Tadross, B. Hewitson, W Gutowski & AF07 collaborators Water Research Commission of South.
From Climate Data to Adaptation Large-ensemble GCM Information and an Operational Policy-Support Model Mark New Ana Lopez, Fai Fung, Milena Cuellar Funded.
Impact of Climate Change on Water Resources Water Corporation Technical Seminars 10 July 2006 Brian Ryan CSIRO Marine and Atmospheric Research.
Downscaling and its limitation on climate change impact assessments Sepo Hachigonta University of Cape Town South Africa “Building Food Security in the.
Modelling of climate and climate change Čedo Branković Croatian Meteorological and Hydrological Service (DHMZ) Zagreb
Projected Changes in Nile Flows: RCM Results Mid-Term Workshop Climate Change Risk Management Programme Forecasting & IWRM Component Prepared by: Nile.
Future Climate Projections. Lewis Richardson ( ) In the 1920s, he proposed solving the weather prediction equations using numerical methods. Worked.
© Crown copyright Met Office Regional Temperature and Precipitation changes under high- end global warming Michael Sanderson, Deborah Hemming, Richard.
Projection of Global Climate Change. Review of last lecture Rapid increase of greenhouse gases (CO 2, CH 4, N 2 O) since 1750: far exceed pre-industrial.
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.
Assessing the Impact of Climate Change on Future Wildfire Activity over the Southeast U.S. using Dynamical Downscaling Jared H. Bowden Kevin D. Talgo Uma.
CLIMARES WP 110 Climate model scenarios for the Arctic region for the next decades Current state: Klaus Dethloff, AWI WP Leader: Erich Roeckner, MPI Planing.
Mixed-phase cloud physics and Southern Ocean cloud feedback in climate models. T 5050 Liquid Condensate Fraction (LCF) Correlation between T5050 and ∆LWP.
Climate Modeling Research & Applications in Wales John Houghton C 3 W conference, Aberystwyth 26 April 2011.
Weather and Climate Vocabulary 3-5 Grade. Rain Gauge An Instrument Used To Measure The Amount of Rainfall.
© Crown copyright Met Office Uncertainties in the Development of Climate Scenarios Climate Data Analysis for Crop Modelling workshop Kasetsart University,
Quaternary Environments Paleoclimate Models. Types of Models  Simplify a system to its basic components  Types of Models  Physical Models  Globe 
Physical Feedbacks Mike Steele Polar Science Center University of Washington Steve Vavrus Center for Climatic Research University of Wisconsin Co-Chairs:
Climate change impacts on water resources in the southeastern U.S. – Can we adapt? Peter Caldwell USDA Forest Service, Eastern Forest Environmental Threat.
Climate Variability and Extremes: Is Global Warming Responsible? Chip Konrad Associate Professor Department of Geography, UNC – Chapel Hill Director of.
ENSC 425/625 Chapter 2UNBC1 Chapter 2 Systems approach Objectives: Couplings & Feedback loops Equilibrium states Perturbations & Forcings CO 2 -temp.-photosyn.
Arctic climate simulations by coupled models - an overview - Annette Rinke and Klaus Dethloff Alfred Wegener Institute for Polar and Marine Research, Research.
Changes to Radiative Forcing From: IPCC 2007 report.
NOAA Northeast Regional Climate Center Dr. Lee Tryhorn NOAA Climate Literacy Workshop April 2010 NOAA Northeast Regional Climate.
Francois Engelbrecht, Thando Ndarana, Yushi Morioka, Swadhin Behera, Marcus Thatcher, John McGregor, Mary-Jane Bopape, Johan Malherbe Simulating the radiative.
Schematic framework of anthropogenic climate change drivers, impacts and responses to climate change, and their linkages (IPCC, 2007).
1/39 Seasonal Prediction of Asian Monsoon: Predictability Issues and Limitations Arun Kumar Climate Prediction Center
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
지구온난화에 의한 북서태평양에서의 상세 해수면 상승 예측(I) - 해수팽창을 고려한 지역해양순환모형의 규모축소 모의 실험 -
Global Circulation Models
Climate Change and Sustainable Agricultural Intensification
Schematic framework of anthropogenic climate change drivers, impacts and responses to climate change, and their linkages (IPCC, 2007; 2014).
Climate , Climate Change, and climate modeling
Mesoscale “Surprises” in Complex Terrain Revealed by Regional Climate Simulations Cliff Mass, Atmospheric Sciences University of Washington.
seasonal prediction for Myanmar
Earth’s Atmosphere.
Modeling the Atmos.-Ocean System
Tore Furevik Geophysical Institute, University of Bergen
IPCC Model Uncertainty in Representing the
Decadal prediction in the Pacific
Presentation transcript:

April 2013 Climate Change Projections for African Urban Areas EGU General Assembly Ingo Simonis, Francois Engelbrecht, Edoardo Bucchignani, Paola Mercogliano, Mogesh Naidoo

Modelling Physical Processes

General Circulation Models On a global scale: Horizontal resolution: km Vertical: layers in atmosphere up to 30 layers in oceans

Uncertainties 1.Coarse resolution of models relative to the scale of exposure units 2.Many physical processes also occur on smaller scales and cannot be properly modelled  Properties must be averaged 3.Various feedback mechanisms, e.g. water vapour and warming, clouds and radiation, ocean circulation and ice and snow albedo…

Uncertainties 1.Coarse resolution of models relative to the scale of exposure units 2.Many physical processes also occur on smaller scales and cannot be properly modelled  Properties must be averaged 3.Various feedback mechanisms, e.g. water vapour and warming, clouds and radiation, ocean circulation and ice and snow albedo…  different GCMs simulate quite different responses to the same forcing

Downscaling

Ensemble Simulations Slide 6 Single Model perturbations of the initial conditions to account for the non-linear dynamics perturbations of the boundary conditions to account for the ‘imperfect’ characterization of the non- atmospheric components of the climate system and also – in case of a regional model – for the uncertainty of the driving global model perturbations of the model physics to account for the uncertainties inherent in the parameterizations Multi Model to account for the uncertainties inherent in the models themselves

Ensemble Simulations Slide 7 Single Model perturbations of the initial conditions to account for the non-linear dynamics perturbations of the boundary conditions to account for the ‘imperfect’ characterization of the non- atmospheric components of the climate system and also – in case of a regional model – for the uncertainty of the driving global model perturbations of the model physics to account for the uncertainties inherent in the parameterizations Multi Model to account for the uncertainties inherent in the models themselves CSIR: Six Models Ensemble for A2 Scenario CSIR: Six Models Ensemble for A2 Scenario CMCC: One Model multiple permutations for A1B Scenario

60-80km & 8km Resolution Data

60-80km & 8km Resolution Data

Projected change in annual rainfall and temperature 2040s vs 1960s Robust message across ensemble of an increases in rainfall in the north Moderate increase in temp: ~ 2 degrees C by the 2040s Dar es Salaam

© CSIR Projected change in rainfall across seasons s vs 1960s Median of ensemble projects relatively large increases in rainfall – all seasons except SON (spring) Dar es Salaam

© CSIR Time series of temp and rainfall: * climate as baseline – 1 ens member shown here * Temp increase reaches 2.5 degrees C by 2050 * Large shift projected in rainfall – increased variability Dar es Salaam

60-80km & 8km & 1km Resolution Data