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CAMELS PROJECT OVERVIEW

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Title: CAMELS PROJECT OVERVIEW


1
CAMELS PROJECT OVERVIEW
Peter Cox, Hadley Centre, Met Office
  • Motivation for CAMELS
  • Deliverables
  • Products
  • Structure

2
Kyoto Sinks
  • Article 3.3 The net change in greenhouse gas
    emissions by sources and removals by sinks
    resulting from direct human-induced land-use
    change and forestry activities, measured as
    verifiable changes shall be used to meet the
    commitments.
  • Article 3.4 each Party shall provide
    data to establish its level of carbon stocks in
    1990 and to enable an estimate to be made of its
    changes in carbon stocks in subsequent years

3
CAMELS and the Kyoto Protocol
  • Annex I countries are permitted to partially
    offset their emissions of CO2 by carbon
    accumulated due to forest management and
    additional human-induced change in land-use and
    land management.
  • The related sources and sinks of CO2 must be
    reported in a transparent and verifiable
    manner.
  • CAMELS will provide key support to EU countries
    in meeting their obligations under Kyoto.

4
CAMELS Motivating Science Questions
  • Where are the current carbon sources and sinks
    located on the land and how do European sinks
    compare with other large continental areas?
  •  Why do these sources and sinks exist, i.e. what
    are the relative contributions of CO2
    fertilisation, nitrogen deposition, climate
    variability, land management and land-use change?
  • How could we make optimal use of existing data
    sources and the latest models to produce
    operational estimates of the European land carbon
    sink?

5
Inverse Modelling
  • Method Use atmospheric transport model to
    infer CO2 sources and sinks most consistent with
    atmospheric CO2 measurements.
  • Advantages a) Large-scale b) Data based
    (transparency).
  • Disadvantages a) Uncertain (network too
    sparse) b) not constrained by ecophysiological
    understanding c) net CO2 flux only (cannot
    isolate land management).

6
Inverse Modelling - Uncertainties
  • Fan et al. (1998) 1.7 GtC/yr sink in North
    America.
  • Bousquet et al. (1999) 0.5 /- 0.6 GtC/yr in
    North America, 1.3 GtC/yr in Siberia.

7
Forward Modelling
  • Method Build bottom-up process-based models
    of land and ocean carbon uptake.
  • Advantages a) Include physical and
    ecophysiological constraints b) Can isolate
    land-management effects c) can be used
    predictively (not just monitoring).
  • Disadvantages a) Uncertain (gaps in process
    understanding) b) Do not make optimal use of
    large-scale observational constraints.

8
Forward Modelling - Land Uncertainties
Smoothed Mean and Standard Deviation of DGVM
Predictions (Cramer et al., 2001) Diagram from
Royal Soc. Sinks Report
9
CAMELS Products
  • Best estimates and uncertainty bounds for the
    contemporary and historical land carbon sinks in
    Europe and elsewhere, isolating the effects of
    direct land-management.
  • A prototype carbon cycle data assimilation system
    (CCDAS) exploiting existing data sources (e.g.
    flux measurements, carbon inventory data,
    satellite products) and the latest terrestrial
    ecosystem models (TEMs), in order to produce
    operational estimates of Kyoto sinks.

10
CAMELS Workpackages
  • WP1. Data Harmonisation and Consolidation
    (ALTERRA)
  • WP2. Model Validation and Uncertainty Analysis
    (MPI-BGC)
  • WP3. Modelling of the 20th Century Land Carbon
    Balance (LSCE)
  • WP4. Development of a System for Carbon Data
    Assimilation (MetO)
  • WP5. Dissemination of Information (UNITUS)

11
CAMELS Flow Diagram
12
CAMELS Facts and figures
  • CAMELS is a key part of the CarboEurope cluster.
  • CAMELS involves a coordinator (Met Office), 8
    contractors (CEA, MPI-BGC, ALTERRA, UNITUS, EFI,
    NERC, CNRS, JRC) and 1 subcontractor (FastOpt).
  • CAMELS will receive 1.4MEuro over 3 years from
    1st Nov 2002-31st Oct 2005.
  • CAMELS will provide improved estimates or
    historical and contemporary land carbon sinks.
  • CAMELS will combine the best data sources and
    forward carbon models to produce a carbon cycle
    data assimilation system.

13
CAMELS Deliverables 1
   
 
14
CAMELS Deliverables 2
   
 
15
CAMELS Deliverables 3
   
 
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