Earth System Physics Section (ESP) An education laboratory Filippo - - PowerPoint PPT Presentation

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Earth System Physics Section (ESP) An education laboratory Filippo - - PowerPoint PPT Presentation

DEVELOPMENT SOCIETY Earth System Physics Section (ESP) An education laboratory Filippo Giorgi, ICTP ENVIRONMENT Education and capacity building in global change research is critical because developing countries are most vulnerable to the


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ENVIRONMENT DEVELOPMENT SOCIETY

Earth System Physics Section (ESP) An education laboratory

Filippo Giorgi, ICTP

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Education and capacity building in global change research is critical because developing countries are most vulnerable to the impacts of climate change

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Atmosphere Chemosphere Hydrosphere Biosphere Anthropo sphere Lithosphere Cryosphere

Earth System

ESP: Viewing the Earth System in a holistic way

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Atmosphere Chemosphere Biosphere Anthropo sphere Lithosphere Cryosphere

Earth System

Tompkins Coppola Solmon Giorgi

Farneti Solidoro

Where are we now?

2015

Solidoro

Hydrosphere

Giorgi Kucharski Coppola Tompkins Solmon Solmon Giorgi Aoudia

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ESP Main Research Areas

Natural climate dynamics and variability Climate impacts on society and ecosystems Computational Earth System modeling Seasonal to interannual climate predictability Anthropogenic Climate Change Earthquake, tsunami and volcano physics Structure and deformation

  • f the Lythosphere

Biosphere-atmosphere interactions Chemistry-climate interactions and air quality Oceanography and

  • cean-climate interactions

Research, Networking, Education

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ESP Educational activities

  • 10-15 Workshops and conferences at ICTP and

abroad (international collaborations: IUGG, WCRP, IPCC, WMO)

  • 1-year Diploma course in Earth Science
  • PhD program in Environmental and Geophysical

Fluid Dynamics with U. Trieste

  • MS program in Global Change Biology with the U.

Trieste

  • PhD STEP program
  • ICTP Associates program
  • Visiting scientist program
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Earth Systems Physics Networks in Africa

Climate Network AfriCARP (FITU) Network North African Seismological Group Sub-Saharan Africa Geophysical Group

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The main tools we have to study climate change are Global Climate models (GCMs), which are however very complex and expensive to develop and run

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A number of “downscaling” techniques have been developed to produce regional information Global model (AOGCM)

Time-slice AGCM, VARGCM

Flood Water Resources Agriculture Landuse Change Pollution Health Ecosystems Fisheries Drought Energy Storms

Impacts Regional Model (RCM) Statistical Downscaling

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“Nested” Regional Climate Modeling: Technique and Strategy

Motivation: The resolution of GCMs is still too coarse to capture regional and local climate processes Technique:A “Regional Climate Model” (RCM) is “nested” within a GCM in order to locally increase the model resolution. – Initial conditions (IC) and lateral boundary conditions (LBC) for the RCM are obtained from the GCM (“One-way Nesting”) or analyses of observations (perfect LBC). Strategy: The GCM simulates the response of the general circulation to the large scale forcings, the RCM simulates the effect of sub-GCM-grid scale forcings and provides fine scale regional information – Technique borrowed from NWP

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ESP: Computational modeling in support of developing country needs

Regional Earth System Modeling (RegCM-ROMS) Intermediate Complexity Global Earth System Modeling (SPEEDY-NEMO) Developing flexible and efficient tools for developing country needs RegCM Tropical Band Impact models Health Food Water Land-use

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Atmosphere Chemosphere Hydrosphere Biosphere Anthropo sphere Cryosphere

Towards the development

  • f a regional Earth

System Model

RegCM

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The RegCM regional climate model system

  • Major recent releases

–RegCM3 (2007), RegCM4 (2012)

  • Source code public and accessible from the

ICTP web site

  • Code changes traceable through an SVN

system

  • User support through an email list (over 900

participants)

  • Collaborative research projects
  • Bi-annual RegCM workshop at ICTP +

training workshops in developing countries

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Structure of the RegCM training workshops

  • Common structure + (changing) specific

focus (e.g. extremes, coupling, high resolution, CORDEX, etc.)

  • Theoretical lectures on regional climate

processes and change

  • Theoretical lectures on regional climate

modeling

  • Theoretical lectures on the RegCM system
  • Hands-on laboratory sessions
  • Small projects by the participants with final

presentations

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10 20 30 40 90 94 92 96 98 00 02 04 06 08 50 10

RegCM4

RegCNET (~900 part.)

More than 10000 downloads since June 2010

RegCM training workshops: ICTP, May 2012 Baijing, China, September 2013 ICTP, May 2014 Ensenada, Mexico, October 2014 Colombo, Sri lanka, April 2015 Manila, Philippines, May 2015 Sao Paolo, Brazil, February 2016 ICTP May 2016 San Jose’, Costarica, November 2016 Countries where RegCM is used (2010)

Number of papers using RegCM (2010)

The RegCM System

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Sample of RegCM domains used

ΔX=10-120 KM

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The RegCM regional climate model system Participation to intercomparison projects

  • PIRCS (US, ISU)
  • NARCCAP (US, UCSC)
  • PRUDENCE (Europe, ICTP)
  • ENSEMBLES (Europe, ICTP)
  • CECILIA (Central Europe, Central-Eastern

European partners)

  • AMMA (West Africa, ICTP, African partners)
  • CLARIS (South America, U. Sao Paulo)
  • RMIP (East Asia, CMA)
  • CORDEX (Multiple domains, RegCNET)
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The ICTP regional climate model system RegCM4 (Giorgi et al. 2012, CR SI 2012)

  • Dynamics:

Hydrostatic (Giorgi et al. 1993a,b) Non-hydrostatic in progress

  • Radiation:

CCM3 (Kiehl 1996) NNRD (Solmon)

  • Large-Scale Precipitaion:

SUBEX (Pal et al 2000) Explicit microphysics (Nogherotto)

  • Cumulus convection:

Grell (1993) Anthes-Kuo (1977) MIT (Emanuel 1991) Mixed convection Tiedtke

  • Planetary boundary layer:

Modified Holtslag, Holtslag (1990) UW-PBL (O’Brien et al. 2011)

  • Land Surface:

BATS (Dickinson et al 1993) SUB-BATS (Giorgi et al 2003) CLM3.5 (Steiner et al. 2009) CLM4.5 (Oleson et al. 2012)

  • Ocean Fluxes

BATS (Dickinson et al 1993) Zeng (Zeng et al. 1998) Diurnal SST

  • Configuration

Adaptable to any region Tropical belt configuration

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The ICTP regional climate model system RegCM4, coupled components

  • Coupled ocean

MIT ocean model (Artale et al. 2010) ROMS (Ratnam et al. 2009)

  • Interactive lake

1D thermal lake mode reactivated (Hostetler et al. 1994; Small et

  • al. 1999)
  • Interactive biosphere

Available in CLM, under testing

  • Interactive hydrology

CHYM hydrological model available in “off line mode”

  • Aerosols:

OC-BC-SO4 (Solmon et al 2005) Dust (Zakey et al 2006) Sea Salt (Zakey et al. 2009)

  • Gas phase chemistry:

Various schemes and solvers tested CBMZ + Sillmann solver implemented (Shalaby et al. 2012)

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Seasonal Prediction Climate Change Weather Prediction

Flood Water Resources Agriculture Landuse Change Pollution Health Ecosystems Fisheries Drought Energy

Regional Modeling

Eastern Europe Sub-Saharan Africa Central America South America Southeast Asia Islands East Asia South Asia Mediterranean Middle East North America

Australia & New Zealand

Japan & Korea Europe South-North Interactions South-South Interactions Scientific Exchanges Activity Coordination

Storms

The ESP RegCM and Regional Climate research NETwork, RegCNET

Collaborative research projects Use of ICTP model tools and datasets Visitor program E-mail list (over 900 p.) Interactions with other international programs Workshops at ICTP and

  • n-site
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The COordinated Regional Downscaling EXperiment (CORDEX)

The CORDEX vision is to advance and coordinate the science and application of regional climate downscaling through global partnerships

  • To better understand relevant regional/local climate

phenomena, their variability and changes through downscaling

  • To evaluate and improve regional climate

downscaling models and techniques (RCM, ESD, VAR-AGCM, HIR-AGCM)

  • To produce large coordinated sets of regional

downscaled projections worldwide

  • To foster communication and knowledge exchange

with users of regional climate information

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Forcing Scenario Experiment (i,j,k …) Internal Variability

GCM Configuration RCD Configuration

RCD Approach Geographic Region

Giorgi et al. EOS 2008 Large ensembles are needed to explore the multi-dimensional space of future climate uncertainty

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CORDEX Phase I experiment design

Model Evaluation Framework Climate Projection Framework ERA-Interim LBC 1989-2007 Multiple driving AOGCMs Scenarios (1951-2100) RCP4.5, RCP8.5 Multiple regions at 50 km grid spacing Higher for some regions (Europe – 12 km) Regional Analysis Regional Databanks

AMIP like CMIP like

Evaluation of present day GCM-driven climate runs

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CORDEX domains

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Contribution to the Coordinated Regional Downscaling Experiment (CORDEX) by the RegCM community

34 Scenario simulations (1970-2100)

  • ver 5 CORDEX domains

with RegCM4 driven by three GCMs, 2 GHG scenarios (RCP4.5/8.5) and different physics schemes 3 months dedicated time on ~500 CPUs at the ARCTUR HPC ~200 Tbytes of data produced

The CORDEX RegCM hyper-MAtrix Experiment (CREMA)

Collaboration with

  • U. San Paolo (Brazil)

CICESE (Mexico) Indian Institute of technology DHMZ (Croatia) Special Issue of Climatic Change (8 papers)

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Hovmoller diagram of change in daily precipitation over Africa

Mariotti et al. (2014)

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Empirical PDFs of present day and future seasonal precipitation and temperature anomalies over Central America (Fuentes-Franco et al. 2014)

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Change in tropical cyclones (Diro et al. 2014)

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Weakening of monsoon precipitation over India (Dash et al. 2014)

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Effects of land surface feedbacks on precipitation change over South America Llopart et al. (2014)

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Impacts of climate variability and change (Agriculture, water, health, air quality) (Tompkins, Coppola, Giorgi, Solmon)

Anthroposphere

Development and Distribution of impact models (VECTRI,CHYM, FOREST-SAGE) (Tompkins, Coppola)

Example skill plot filtered to epidemic/ mesoendemic regions

Future malaria projections Deforestation simulations With FOREST-SAGE

  • ver the Congo Basin
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Summary

  • The ESP has a number of different educational

activities that complement each other

  • The ESP develops modeling tools specifically

targeted for use by scientists in developing countries

  • The ESP has created a number of research

networks through which participants can exchange information and experience

  • In order to be effective, education needs to be

supported by research – Development of collaborative research projects

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ENVIRONMENT DEVELOPMENT SOCIETY