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The importance of GRID compu4ng in the inves4ga4on of climate and its change Eleni Katragkou [email protected] Aristotle University of Thessaloniki Department of Meteorology and Climatology Greece Part A: Climate and its change Past and future surface temperatures over the Balkan Peninsula (1960‐2100). Regional climate simula4ons were performed at AUTH using EGI resources. More on www.geoclima.eu 2 Paleoclimatology : determining past climate Paleoclimatologists, based on dendrochronology, fossils and ice‐core data have shown that global climate has undergone slow but con6nuous changes, throughout much of the earth’s history, long before humanity came onto the scene. We know now that natural climate change in an inherent characteris6c of climate. 3 What causes climate to change Natural forcing Solar varia6on (Milankovitch theory) Human forcing Changing landscape Volcanic ac6vity Anthropogenic emissions 4 IPCC – Proving human induced climate change The Intergovernmental Panel on Climate Change (IPCC) is the leading interna6onal body for the assessment of climate change. One of the main IPCC ac6vi6es is the prepara6on of comprehensive Assessment Reports about the state of scien6fic, technical and socio‐ economic knowledge on climate change, its causes, poten6al impacts and response strategies. IPCC press release, Stockholm 23‐26 September 2013 : “MulDple lines of evidence confirm that the extra heat being trapped by greenhouse gases is warming the Earth’s atmosphere, heaDng and acidifying the oceans, raising sea levels, and melDng ice caps and glaciers. We are also seeing a change in weather paMerns and extreme events such as heat waves, droughts and floods”. More on the IPCC ac6vi6es and reports on: www.ipcc.ch/ 5 Components of the climate system Atmosphere: atmos+sphere (ατμός=vapor) Biosphere: bio+sphere (βίο=life) Lithosphere: litho+sphere (λίθος=rock) Cryosphere : cryo+sphere (κρύο=cold) Hydrosphere: hydro+sphere (ύδωρ = water) Human ac6vity 6 Part B: Modelling the climate system Climate models that simulate the physical processes of the atmosphere are called General Circula4on Models (GCMs). GCMs use mathema6cs and the laws of physics to describe the general behaviour of the atmosphere. The primary earth system components that are simulated by a GCM include the atmosphere, oceans, land surface and the cryosphere. 7 Tools to assess climate: Climate models GCMs divide the atmosphere, oceans, and land into a 3‐dimensional grid system. Differen4al equa4ons are used to relate fundamental physical quan66es (Temperature, Pressure, Winds, Specific Humidity) to each other. Each equa6on is solved at discrete grid points on the earth’s surface, at a fixed 4me interval (6me‐step) and several ver4cal layers, defined by the regular grid. The number of cells in the grid system is known as the "resolu4on“. The more grid cells, the higher the resolu6on, and the more calcula6ons that must be computed. Rule of thumb: 23 more CPU for a doubling of resolu4on 8 Regional Climate Models (RCMs) An RCM can be nested trough a lateral buffer zone to a GCM. This technique is called Dynamical Downscaling. Downscaling climate data is a strategy for genera6ng regional relevant data of high resolu6on from GCMs. 9 Advances in the IPCC Assessment Reports The advances in the Assessment Reports reflect the improved scien6fic knowledge in climate physics and the progress in computer science. IPCC Assessment Model Report resolu4on (Km) Repor4ng Year First (FAR) 500 1990 Second (SAR) 250 1995 Third (TAR) 180 2001 Fourth (AR4) 110 2007 Fish (AR5) <100 Km 2013/14 10 Part C: GRID compu6ng in atmospheric modeling 11 European Grid Infrastructure European Over 35 countries Grid Secure sharing of IT resources Infrastructure Computers (clusters) Data Applica6ons …. and beyond!! 12 For European researchers and their interna4onal collaborators Story from the Grid: Assessing the impact of climate change on surface ozone More on this EGI case study on: hyp://www.egi.eu/case‐studies/ozone.html 13 GRID enabled climate‐air quality interac4ons Air quality model: CAMx 5.3 Temporal coverage: 1991‐2000 (CTRL) 2041‐2050 (FUT1) 2091‐2100 (FUT2) Spa6al coverage: Europe Temporal resolu6on: 3 hours Spa6al resolu6on: 50 Km Storage: 1 TB for each 10 year 6me slice GRID applica6ons @ AUTH GCM forcing: ECHAM5 Regional Climate Model: RegCM3 14 GRID enabled climate‐air quality interac4ons Difference in summer surface O3 (FUT2‐CTRL) Difference in summer surface O3 (FUT1‐CTRL) Average summer surface O3 1991‐2000 (CTRL) Simulated average summer surface ozone (O3) in the control decade and sta4s4cal significant changes in surface O3 in the two future decades. X axis denotes the simulated decade. Y axis denotes computa4onal 4me needed for each simula4on. 15 GRID enabled climate‐air quality interac4ons Katragkou et al 2010, Katragkou et al 2011, Journal of Geophysical Research D: Atmospheres, 116 (22), art. no. D22307 Zanis et al 2011, Atmospheric Environment, 45 (36), pp. 6489-6500. GRID applica6ons @ AUTH The median of summer near surface temperature for whole Europe is 2.7 K higher at the end of the 21st century Enhanced average surface ozone concentra6ons at the end of the 21st century especially over SW Europe, where the median of ozone increases by 6.2 ppb Atmospheric Chemistry and Physics, 10 (23), pp. 11805-11821 16 References Ahrens C.D., Meteorology today, An introduc6on to Whether, Climate and the Environments, 2009. IPCC, 2007: Climate Change 2007, The Physical Science Basis, by the Working Group I contribu6on to Fourth Assessment Report to the IPCC, 2007. IPCC, 2013, AR5. hyp://www.climatechange2013.org/images/uploads/ WGIAR5_WGI‐12Doc2b_FinalDras_All.pdf Katragkou Ε., P. Zanis, I. Tegoulias, D. Melas, I. Kioutsioukis, B. C. Krüger, P. Huszar, T. Halenka, S. Rauscher, Decadal regional air quality simula6ons over Europe in present climate: near surface ozone sensi6vity to external meteorological forcing, Atmospheric Chemistry and Physics, 10, 11805‐11821, 2010 Κatragkou E., P. Zanis, I. Kioutsioukis, I. Tegoulias, D. Melas, B.C. Krüger, E. Coppola, Future climate change impacts on summer surface ozone from regional climate‐air quality simula6ons over Europe, Journal of Geophysical Research, 116, D22307, doi: 10.1029/2011JD015899, 2011 Zanis P., E. Katragkou, I. Tegoulias, A. Poupkou, D. Melas, Evalua6on of near surface ozone in air quality simula6ons forced by a regional climate model over Europe for the period 1991‐2000, Atmospheric Environment, 45 (36), pp. 6489‐6500, 2011 17 Acknowledgments European Grid Infrastructure (EGI) – EGI champions programme Department of Meteorology and Climatology, Aristotle University of Thessaloniki Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki Scien6fic compu6ng centre, Aristotle University of Thessaloniki Greek research and technology network (GRNET) FP6 project CECILIA (Central and Eastern Europe Climate Change Impact and Vulnerability Assessment) AUTH Research Commiyee 18 Useful links www.egi.eu (EGI) www.egi.eu/community/egi_champions (EGI Champions) www.hellasgrid.gr (HellasGRID) www.ipcc.ch (IPCC) www.auth.gr (AUTH) hyp://www.epa.gov/ozone (ozone‐air quality) hyp://www.hellasgrid.gr/2013/04/22/the‐importance‐of‐grid‐ compu6ng‐in‐the‐inves6ga6on‐of‐climate‐and‐its‐change/ (HellasGRID story) hyp://www.egi.eu/news‐and‐media/videos/index.html (Stories from the GRID) 19