CFusion and NCEO

NCEO Components

Climate data synthesis forprediction

Carbon cycle

Atmosphericcomposition

DynamicEarth

Cryosphere

High impactweather and

hydrology

Data assimilation and treatment of uncertainty

EO Informatics

Computing resources TrainingKnowledge transfer

Wider NERC supported EO programme

Σ

Ciais et al. 2003 IGOS-P Integrated Global Carbon Observing Strategy

Geo-referenced emissions inventories

Geo-referenced emissions inventories

Atmospheric measurements

Atmospheric measurements

Remote sensing of atmospheric CO2

Remote sensing of Remote sensing of atmospheric COatmospheric CO22

Atmospheric Transport Model

Atmospheric Transport Model

Ocean Carbon Model

Ocean Carbon Model Terrestrial

Carbon ModelTerrestrial

Carbon Model

Remote sensing of vegetation properties

Growth cycleFires

BiomassRadiation

Land cover/use

Ocean remote sensingOcean colour

AltimetryWindsSSTSSS

Water column inventories

Ocean time seriesBiogeochemical

pCO2

Surface observation

pCO2

nutrients

Optimised model

parameters

Optimised model

parameters

Optimised fluxes

Optimised fluxes

Ecological studies

Biomass soil carbon

inventories

Eddy-covariance flux towers

Coastal studiesCoastal studies

rivers

Lateral fluxes

Data assimilation

link

Climate and weather fields

Geo-referenced emissions inventories

Geo-referenced emissions inventories

Atmospheric measurements

Atmospheric measurements

Remote sensing of atmospheric CO2

Remote sensing of Remote sensing of atmospheric COatmospheric CO22

Atmospheric Transport Model

Atmospheric Transport Model

Ocean Carbon Model

Ocean Carbon Model Terrestrial

Carbon ModelTerrestrial

Carbon Model

Remote sensing of vegetation properties

Growth cycleFires

BiomassRadiation

Land cover/use

Ocean remote sensingOcean colour

AltimetryWindsSSTSSS

Water column inventories

Ocean time seriesBiogeochemical

pCO2

Surface observation

pCO2

nutrients

Optimised model

parameters

Optimised model

parameters

Optimised fluxes

Optimised fluxes

Ecological studies

Biomass soil carbon

inventories

Eddy-covariance flux towers

Coastal studiesCoastal studies

rivers

Lateral fluxes

Data assimilation

link

Climate and weather fields

Global Carbon Data Assimilation System

C Cycle Linkages

CTCD

CASIX

LeicesterOthers

DARC

ABACUS

QUERCC

MUCMSAGES

TROBIT

Terrestrial Carbon

CLASSIC

Ocean carbon

Atmospheric carbon

Atmospheric trace gas DA

NEW NERC PROJECT International Collaboration on Data Assimilation in Terrestrial Carbon Cycle Science

Exchange between scientific staff for three months from key institutions (CSIRO, MPI, LSCE, CSU, MBL; in the UK, CTCD and DARC are joint leaders on this project, but we will also be looking at the needs and opportunities for QUEST, ECMWF, CLASSIC and CEH). International conferenceSix international workshops

CFusion Working Groups

REFLEX – DA comparison experiment OCO and GOSAT Mathematical structures underlying DA Fire

Structure of Carbon Theme

Ocean surface observations

Atmospheric observationsof CO2 and CH4

Land surface observations

Data assimilation

Ocean surfaceFlux model

Model parameters

Atmosphericchemistry-transport model

Land surfaceflux model

Model parameters

Surface fluxes Surface fluxes

C Cycle Sub-themes

Using atmospheric measurements of CO2 and CH4 to learn about surface fluxes and their causes.

Model-data fusion for land C fluxes using surface observations Carbon fluxes from biomass burning Ground-based methods: data, parameters, process descriptions

and EO fundamentals. Understanding the tropical carbon balance of the land surface. Quantification of sea surface processes Quantification of ocean biogeochemistry and carbon fluxes Quantification of bio-physical interactions and air-sea CO2 fluxes Data assimilation techniques for marine ecosystem models. Reanalysis, validation and prediction of marine carbon estimates

EO interactions with a ecosystem model

Parameters

Model

Climate

Soils

Sn Sn+1

Processes

Observable

Land coverForest age

PhenologySnow waterBurnt area

Testing:RadiancefAPAR

Possible feedback

fAPARLAI

Conceptual model of the ocean carbon cycle and surface exchange

NCEO Components

Climate data synthesis forprediction

Carbon cycle

Atmosphericcomposition

DynamicEarth

Cryosphere

High impactweather and

hydrology

Data assimilation and treatment of uncertainty

EO Informatics

Computing resources TrainingKnowledge transfer

Wider NERC supported EO programme

Σ

Mission support

Funding

Total funds = £40.7M over 6 years.

Total funding for C cycle theme: £4.6M.

NERC International Opportunities Fund

Key question: in what areas would the NERC science base most benefit from exposure to international know-how and collaboration?

→ International Collaboration on Data Assimilation in Terrestrial Carbon Cycle Science (CFusion)

Meetings Workshops Staff secondment Reports

Remote sensing of atmospheric CO2

Remote sensing of Remote sensing of atmospheric COatmospheric CO22

Atmospheric Transport Model

Atmospheric Transport Model

Terrestrial Carbon Model

Terrestrial Carbon Model

Remote sensing of vegetation properties

Growth cycleFires

BiomassRadiation

Land cover/use

Optimised model

parameters

Optimised model

parameters

Optimised fluxes

Optimised fluxes

Ecological studies

Biomass soil carbon

inventories

Eddy-covariance flux towers

rivers

Lateral fluxes

Climate and weather fields

Remote sensing of atmospheric CO2

Remote sensing of Remote sensing of atmospheric COatmospheric CO22

Atmospheric Transport Model

Atmospheric Transport Model

Terrestrial Carbon Model

Terrestrial Carbon Model

Remote sensing of vegetation properties

Growth cycleFires

BiomassRadiation

Land cover/use

Optimised model

parameters

Optimised model

parameters

Optimised fluxes

Optimised fluxes

Ecological studies

Biomass soil carbon

inventories

Eddy-covariance flux towers

rivers

Lateral fluxes

Climate and weather fields

Terrestrial Component

+ Water components: SWEsoil moisture