Saurabh Bhardwaj Centre for Global Environment Research, Earth Science and Climate Change Division Ongoing Climate

Slides:



Advertisements
Similar presentations
Africa Group paper session, Monday 18 February 2008 Charlie Williams Climate modelling in AMMA Ruti, P. M., Hourding, F. & Cook, K. H. CLIVAR Exchanges,
Advertisements

Caribbean climate in the future :Results from the PRECIS RCM Dr. Michael Taylor.
Climate Change Scenarios for Impact Assessment Indian Institute of Tropical Meteorology K. Rupa Kumar Indo-UK Programme on Climate Change Impacts in India.
Downscaling of Global Climate Model (GCM) A.K.M. Saiful Islam Associate Professor, IWFM Coordinator, Climate Change Study Cell Bangladesh University of.
© Crown copyright Met Office Climate Projections over Mainland China under SRES A1B and RCP4.5 Using PRECIS 2.0 Changgui Wang, Richard Jones.
Lucinda Mileham, Dr Richard Taylor, Dr Martin Todd
Evaluation of ECHAM5 General Circulation Model using ISCCP simulator Swati Gehlot & Johannes Quaas Max-Planck-Institut für Meteorologie Hamburg, Germany.
© Crown copyright Met Office Regional/local climate projections: present ability and future plans Research funded by Richard Jones: WCRP workshop on regional.
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 Change and Malaysia
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:
THORPEX-Pacific Workshop Kauai, Hawaii Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio David H. Bromwich.
PHYC Environmental Physics Climate, Climate Change Nuclear Power and the Alternatives.
WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-4: Module- 3 Regional Climate.
Assessment of Future Change in Temperature and Precipitation over Pakistan (Simulated by PRECIS RCM for A2 Scenario) Siraj Ul Islam, Nadia Rehman.
Determining the Local Implications of Global Warming Professor Clifford Mass, Eric Salathe, Patrick Zahn, Richard Steed University of Washington.
COP-10 In-Session Workshop, Buenos Aires, December 8, Application of Regional Models: High-Resolution Climate Change Scenarios for India Using PRECIS.
NCPP – needs, process components, structure of scientific climate impacts study approach, etc.
Regional Climate Modeling in the Source Region of Yellow River with complex topography using the RegCM3: Model validation Pinhong Hui, Jianping Tang School.
© Crown copyright Met Office Climate Projections for West Africa Andrew Hartley, Met Office: PARCC national workshop on climate information and species.
Regional Climate Change Scenarios for India and Implications for Water Availability Issues K. Krishna Kumar CIRES Visiting Fellow, University of Colorado,
Mathematics and Computer Science & Environmental Research Divisions ARGONNE NATIONAL LABORATORY Regional Climate Simulation Analysis & Vizualization John.
Impact of Climate Change on Water Resources Water Corporation Technical Seminars 10 July 2006 Brian Ryan CSIRO Marine and Atmospheric Research.
1 Climate Ensemble Simulations and Projections for Vietnam using PRECIS Model Presented by Hiep Van Nguyen Main contributors: Mai Van Khiem, Tran Thuc,
Preliminary Results of Global Climate Simulations With a High- Resolution Atmospheric Model P. B. Duffy, B. Govindasamy, J. Milovich, K. Taylor, S. Thompson,
Downscaling and its limitation on climate change impact assessments Sepo Hachigonta University of Cape Town South Africa “Building Food Security in the.
© Crown copyright Met Office Providing High-Resolution Regional Climates for Vulnerability Assessment and Adaptation Planning Joseph Intsiful, African.
Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.
Building Asian Climate Change Scenarios by Multi-Regional Climate Models Ensemble S. Wang, D. Lee, J. McGregor, W. Gutowski, K. Dairaku, X. Gao, S. Hong,
R.Sutton RT4 coordinated experiments Rowan Sutton Centre for Global Atmospheric Modelling Department of Meteorology University of Reading.
“High Resolution CONUS Reanalysis and Pest Emergence Prediction” Andrew Monaghan National Center for Atmospheric Research, Boulder, Colorado, USA 19 May,
ARGONNE NATIONAL LABORATORY Climate Modeling on the Jazz Linux Cluster at ANL John Taylor Mathematics and Computer Science & Environmental Research Divisions.
Status of the Sea Ice Model Testing of CICE4.0 in the coupled model context is underway Includes numerous SE improvements, improved ridging formulation,
A significant amount of climate data are available: DETERMINING CLIMATE CHANGE SCENARIOS AND PROJECTIONS It can be time-consuming to manage and interpret.
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.
VO Sandpit, November 2009 e-Infrastructure for Climate and Atmospheric Science Research Dr Matt Pritchard Centre for Environmental Data Archival (CEDA)
Towards development of a Regional Arctic Climate System Model --- Coupling WRF with the Variable Infiltration Capacity land model via a flux coupler Chunmei.
Indo-UK Programme on Climate Change Impacts in India : Delhi Workshop, Sep. 5-6, 2002 Impacts of Climate Change on Water Resources G.B. Pant INDIAN INSTITUTE.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
Development of Climate Change Scenarios of Rainfall and Temperature over the Indian region Potential Impacts: Water Resources Water Resources Agriculture.
The evolution of climate modeling Kevin Hennessy on behalf of CSIRO & the Bureau of Meteorology Tuesday 30 th September 2003 Canberra Short course & Climate.
Climate Change and Ozone Air Quality: Applications of a Coupled GCM/MM5/CMAQ Modeling System C. Hogrefe 1, J. Biswas 1, K. Civerolo 2, J.-Y. Ku 2, B. Lynn.
Experience with ROMS for Downscaling IPCC Climate Models 2008 ROMS/TOMS European Workshop, Grenoble, 6-8 October Bjørn Ådlandsvik, Paul Budgell, Vidar.
Indo-UK Programme on Climate Change Impacts in India : Delhi Workshop, Sep. 5-6, 2002 Objectives Analysis of spatio-temporal variability of precipitation.
MERGE 5 years from now MORE OF THE SAME OR MORE THAN THAT?
Intergovernmental Panel on Climate Change (IPCC) The IPCC is the leading international body for the assessment of climate change. It was established by.
© Crown copyright Met Office Uncertainties in the Development of Climate Scenarios Climate Data Analysis for Crop Modelling workshop Kasetsart University,
Welcome to the PRECIS training workshop
Developing a Research Agenda for the Caribbean Food System to respond to Global Climate Changes September, 2002 University of the West Indies, St.
Of what use is a statistician in climate modeling? Peter Guttorp University of Washington Norwegian Computing Center
Eric Salathé JISAO Climate Impacts Group University of Washington Rick Steed UW Yongxin Zhang CIG, NCAR Cliff Mass UW Regional Climate Modeling and Projected.
NATCOM Project Mid-term Evaluation Climate Change Projections for India and Assessment of the Associated Agricultural and Human Health Impacts.
Presented by LCF Climate Science Computational End Station James B. White III (Trey) Scientific Computing National Center for Computational Sciences Oak.
Do we / why do we want to develop an ASM? Climate working group for WRF – workshop on model developments for climate studies with WRF (summary of.
Synthesis of work on Budget of Water Vapor and Trace gases in Amazonia Transport and Impacts of Moisture, Aerosols and Trace Gases into and out of the.
Approach We use CMIP5 simulations and specifically designed NCAR/DOE CESM1-CAM5 experiments to determine differential impacts at the grid-box levels (in.
Schematic framework of anthropogenic climate change drivers, impacts and responses to climate change, and their linkages (IPCC, 2007).
The North American Monsoons (NAM) can provide upwards of 70% of the annual precipitation to the southwest United States and Mexico. Already susceptible.
Mid Term II Review.
Overview of Downscaling
RCM workshop, Meteo Rwanda, Kigali
Coupled atmosphere-ocean simulation on hurricane forecast
David Hein Thursday, 13 March 2008
Dynamical downscaling of ERA-40 with WRF in complex terrain in Norway – comparison with ENSEMBLES U. Heikkilä, A. D. Sandvik and A.
Understanding and forecasting seasonal-to-decadal climate variations
Presentation transcript:

Saurabh Bhardwaj Centre for Global Environment Research, Earth Science and Climate Change Division Ongoing Climate

Outline of the talk Background Three forked formulation to follow Process models Resources at TERI Goals

Three forked formulation Quantified uncertainty measures Enclosure of regional processes Downscaled information for better impacts assessments Quod Erat Demonstrandum

Fork I: Quantified uncertainity measures Observational Importance: The high resolution availability of both spatial and temporal data is required to quantify address the uncertainity in models: All the states do not have equal number of meteorological stations The observations of other variables (like temperature, windspeed and radiation variables) are available only at selected stations for a long period

Fork II: Enclosure of regional processes Early climate models as we know started at Mid-1970s Since then each decade the improvement of including local processes have become very essential Presently, we are moving towards a Global Earth System Model which can include the regional processes, however what spatial scale the model should use is an issue. Better representation of the regional processes are essential to resolve the climatic variability It has been found, over Asia, the three significant physical processes are (Source: Congbin Fu, 2002) Land use and land cover changes and vegetation, Aerosol forcing, Oceanic transport of heat Hence inclusion of Earth system processes becomes essential in models

Fork III: Downscaled information for better impacts assessments Improvements in Grid resolution The evaluation of the Climate models has become an essential pre-requisite to understand the Earth’s climate system A Model Intercomparison Project is an approach to model verification and they are part of community analysis and verification/activity. Intergovernmental Panel for Climate Change has started its MIP programs with Atmospheric Models in 1995 till today with CMIP (Coupled Ocean Atmospheric Models).

 PRECIS is a dynamical downscaling tool  To run the model, lateral and surface boundary conditions- HadAM3 (3.75x2.5 deg)  Experiment conducted: Base line ( ), A2 & B2 ( )  Study Domain N, E  Horizontal Surface resolutions ~50km  Vertical resolution19levels (Surface to the top of the atmosphere) Regional Downscaling Model PRECIS (Providing Regional Climate for Impact Studies) for Impact Assessment studies over Indian region

A2 The A2 scenarios are of a more divided world. The A2 family of scenarios is characterized by: A world of independently operating, self-reliant nations. Continuously increasing population. Regionally oriented economic development. Slower and more fragmented technological changes and improvements to per capita income. B2 The B2 scenarios are of a world more divided, but more ecologically friendly. The B2 scenarios are characterized by: Continuously increasing population, but at a slower rate than in A2. Emphasis on local rather than global solutions to economic, social and environmental stability. Intermediate levels of economic development. Less rapid and more fragmented technological change than in A1 and B1.

1st Sept 2010 WRF lecture series, Bergen Norway Mean Monsoon Pattern in PRECIS baseline simulation It is able to capture the major features but overestimates the rainfall in few regions - over Himalayan belt, few parts of central India and west coast.

1st Sept 2010 WRF lecture series, Bergen Norway Extreme - scenarioModerate-scenario

1st Sept 2010 WRF lecture series, Bergen Norway Annual Mean Temperature Climatology Comparison for IMD and PRECIS The overall pattern of the temperature is well captured by PRECIS over South Indian region, however over the Central and North Indian region there is negative bias of reduced temperature in model when compared to observation.

1st Sept 2010 WRF lecture series, Bergen Norway Moderate-scenarioExtreme-scenario

Details of the Super Computing Facility Wipro Supernova SN2007A 128 Cores of Intel Xeon 2.83 GHz with 1333 MHz FSB 128 Gb ddr2 667 FBDIMM RAM 20 Gb ps Infiniband Connectivity 16 TB Local Parallel File Storage IPMI based advanced management tools for inband and outband management support Redundant 20 Gb ps DDR infiniband Switching 1Gb ps Ethernet for management Debian GNU/Linux stable distribution with WIPRO’s enhancement as the operating system Gluster software Linpack performance per 1U Twin server (2 dual CPU Server in 1U space) G Flop/s Total Peak Performance for the system GFlop/s Project Maximum Performance of the system-1014 GFlop/s

Global Climate TERI: an Initiative GOALS: To enhance the climate modeling activities at TERI. To address the key important issues in the climate system models (for ex: the tele connection patterns, the monsoon simulation over the South-Asian region etc.) ‏ Determine the climate tipping points with the help of climate change simulations and thenceforth influence on the impacts on different sectors. Global Coupled Climate System Model We are presently using Community Climate System Model Version 3 for Global Climate Simulations.

Model Used: Community Climate System Model Version 3 from the National Centre for Atmospheric Research. The model is a coupled climate system model which is comprised of atmospheric model (Community Atmosphere Model version 3.0), ocean model (Parallel Ocean Program, version 1.0), land model (Community Land model version 3.0), and sea ice model (Community Sea Ice Model 3.0). a coupler which acts as the main link between the sub models. Test run simulation details CCSM3 simulation is being performed for 100 years of which 2 years simulation results are presented here, the qualitative assessment would be done after performing the 100year simulation. Details of the testrun T42 resolution (300km x 300km) horizontal and 26 levels in vertical for atmosphere, POP model with (110kmx110km) horizontal resolution and 40 levels in vertical.

Test run outputs from CCSM3

Way Forward We are planning to conduct a longer run of 100 years of control and 100 years of future with different SRES scenarios.