Developing Human System Modules for Climate Models

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Developing Human System Modules for Climate Models

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Title: Developing Human System Modules for Climate Models


1
Developing Human System Modules for Climate Models
  • Jessie Cherry,
  • IARC/ARSC_at_UAF

2
Typical treatment of human/resource dimensions
  • Offline model runs
  • Use of projections and scenarios
  • Qualitative characterizations of the future

3
Climate Change Planning
Walsh Chapman PRISM downscaled multi-model
projections of temperature and precipitation for
AK under various scenarios of Greenhouse Gas
emissions
4
Problems with this approach
  • Creates a strong disconnect between the physical
    modeling community and the climate impacts
    community
  • Makes it more difficult to provide decision
    support to stakeholders
  • Could be missing important feedbacks between
    human agents and the climate system

5
Approaches to CCIAV
IPCC, 2007
6
Integrated Assessment
  • Definition any model which combines scientific
    and socio-economic aspects of climate change
    primarily for the purpose of assessing policy
    options for climate change control (Kelly
    Kolstad, 1998)

7
Integrated Assessment Modeling
McGuffie Henderson-Sellers, 2005
8
Integrated Assessment Models
McGuffie Henderson-Sellers, 2005
9
Characterizing the Future
IPCC, 2007
10
Proposal
  • Code Human System Modules directly into a new
    Arctic System Model to make it truly next
    generation and system

11
Example of Human System Module
Goal is to be model independent work with CCSM
and other models/ couplers
Cherry
12
Some Human Dimensions in the Arctic
  • Oil and Gas Recovery ( spill transport)
  • Freshwater Supply
  • Renewable Energy (wind, hydro, geo)
  • Commercial, Subsistence, Sport Fishing
  • Infrastructure
  • Coastal Erosion
  • Subsistence Harvest of Furbearers, Caribou
  • Marine Transport

13
Decision-Support
  • What is that?
  • Turban defines it as "an interactive, flexible,
    and adaptable computer-based information system,
    especially developed for supporting the solution
    of a non-structured management problem for
    improved decision making. It utilizes data,
    provides an easy-to-use interface, and allows for
    the decision maker's own insights. (Wikipedia)

14
Example of Climate-Related Decision Support
  • https//rsgis.crrel.usace.army.mil/aedis/

15
Goals of a Pilot Project
  • Create one or more model-independent modules for
    socio-economic decision-making
  • Test in AK, but should have international
    applications at least across pan-Arctic
  • Create cutting edge model, i.e. one that includes
    human dimension directly

16
Interactions between Module components/Climate
model
  • Need not occur at every model time step
  • One or two way coupling may be appropriate
    depending on the system

17
BSIERP
BSIERP Vertically Integrated models
Economic/ecological model
FEAST Higher trophic level model
NPZ-B-D Lower trophic level
ROMS Physical Oceanography
Nested models
BEST
Climate scenarios
18
Infrastructure
  • Impact of Climate Change on Infrastructure
    study done for Alaska by Peter Larsen and
    collaborators

19
Flow Chart of Model Processes
Graphs
20
ISER Public Infrastructure Study
21
Wind Farm Parameterization for WRF
Adams Keith Modification of the MYJ PBL
scheme Similar work being done commercially by
3TIER, AER, others
22
MMS-WRF winds 1
23
MMS-WRF winds 2
24
MMS-WRF winds 3
25
MMS-WRF winds 4
26
Hydropower AEA
AEA Energy Atlas, 2007
27
Ship track
28
Readiness?
  • If we dont start to integrate these models
    they may never become ready
  • Data management may be the biggest challenge
  • May need to modify existing couplers/design a
    human dimension standard
  • May need to design community decision
    support tool

29
Readiness
  • Oil and Gas Recovery ( spill transport)
  • Freshwater Supply
  • Renewable Energy (wind, hydro, geo)
  • Commercial, Subsistence Sport Fishing
  • Infrastructure
  • Coastal Erosion
  • Subsistence Harvest of Furbearers, Caribou
  • Marine Transport ( emissions)

30
A few of the many challenges
  • Data acquisition and management (international)
  • Models appropriate for the pan-Arctic domain
  • Decision support interface
  • Representing uncertainty quantitatively
    (including inter-temporal discount rate)

31
Why code human systems directly into models?
  • There are (nearly) appropriate existing models
  • We have the computing resources
  • Bridges the gaps between physical system and
    human dimension
  • Its interesting work at the frontiers of
    research!!!

32
Thanks
  • ?

33
Communicating uncertainty
34
New Scientific Methodology?
Funtowicz Ravetz, in Ecological Economics, 1991
35
Arctic human dimensions
  • Oil and Gas Module (spill transport)
  • Rural Resilience (wind power potential)
  • Coastal Erosion (evolving coastline)
  • Freshwater (hydropower, water supply)
  • Marine Fisheries (Bering ecosystem)
  • Marine Transport (ice cover trajectories)

36
BSIERP Lower Trophic Level Ecosystem Model
Predation Losses
Euphausiids
Detritus
14 component Model NPZD-Benthos
Neocalanus
Pseudocalanus
Large microzooplankton
Small microzooplankton
Small Phytoplankton
Large Phytoplankton
Iron
Ammonium
Nitrate
Benthic Detritus
Benthic Infauna
Benthos
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