Fts measurements for constraining the australian carbon cycle
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FTS Measurements for Constraining the Australian Carbon Cycle. Nicholas Deutscher 1,2 , Rachel Law 1 , David Griffith 2 and Glenn Bryant 2. Outline:. My PhD Plan. 1 CSIRO Atmospheric Research, Aspendale, Victoria 3195

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FTS Measurements for Constraining the Australian Carbon Cycle

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Fts measurements for constraining the australian carbon cycle

FTS Measurements for Constraining the Australian Carbon Cycle

Nicholas Deutscher1,2, Rachel Law1, David Griffith2 and Glenn Bryant2

Outline:

  • My PhD Plan

1CSIRO Atmospheric Research, Aspendale, Victoria 3195

2Atmospheric Chemistry Research Group, Department of Chemistry, University of Wollongong, Wollongong, NSW, 2522


My phd project

My PhD Project

Aim:

  • to better understand the Australian carbon cycle; and

  • to provide constraints to estimates of Australian carbon fluxes.

    How? – Using:

  • FTS atmospheric trace gas measurements; and

  • Inverse atmospheric modelling


Background why australia

Background – Why Australia?

  • Well…

  • Also:

    • Unique habitat and conditions

    • Few measurements

    • Large Savanna biomass burning region

      • Northern Territory/North Western Australia


Existing atmospheric measurements

Cape Grim Baseline Air Pollution Station

Continuous CO2, 13CO2

CH4, CO, N2O

Flux Towers

Howard Springs

Cape Tribulation

Burdekin

Virginia Park

Janina

Tumbarumba

Maroondah

Solar FTIR remote sensing

Wollongong

In-situ FTIR

Aspendale

Field campaigns

Jenolan Caves

Kyabram

Tumbarumba

Existing atmospheric measurements

  • Cape Grim Baseline Air Pollution Station

    • Continuous CO2, 13CO2

    • CH4, CO, N2O


Forthcoming

Forthcoming…

  • Global

    • OCO Satellite

  • Other more localised measurements

    • In situ FTIR


Oco satellite program overview

OCO Satellite Program Overview

  • Orbiting Carbon Observatory

  • US-based (JPL-NASA)

  • Dedicated global CO2 mapping

  • 3 parts

    • Satellite measurements

    • Ground-based validation measurements

    • Inverse modelling


Oco validation measurements 1

OCO – Validation Measurements (1)

  • Network of ground-based sites

    • Arrival Heights, Antarctica78° Supgrade

    • Lauder, New Zealand 45° Supgrade

    • Wollongong, Australia34° Snew

    • Darwin, Australia 12° Snew

    • Mauna Loa 20° Nupgrade

    • Southern Great Plains, OK 36° Nupgrade

    • Harvard Forest 42° Nnew

    • Park Falls 46° Nnew

    • Bremen 53° Nexisting

    • Poker Flat 65° Nupgrade

    • Ny Alesund 79° Nexisting

  • Continuous in situ CO2 measurements by instrument traceable to CMDL standard (e.g. Li-Cor infrared analyzer)

  • Ancillary measurements of cloud, aerosol, radiation, and standard meteorological variables


Oco validation measurements 2

OCO – Validation Measurements (2)

  • Major validation – ground-based solar FTS

    • Bruker 125HR (or equivalent)

    • Hi-resolution (0.02cm-1) FTNIR spectra (3500-15798cm-1)


More localised measurements

An OOOFTI in Kyabram

More localised measurements

  • In-situ FTIR (OOOFTI)

  • Continuous data

    • Including night time

  • Multi-species - CO2, CH4, CO, N2O, 13CO2

  • ~0.1% (0.3ppmv) precision CO2

  • Co-located with OCO ground validation

    • Darwin

    • Lauder (trial currently underway)

  • Ghan railway (Adelaide to Darwin)


My phd plan of action

My PhD Plan of action

  • Inverse modelling (1)

    • Planned measurements to determine their value

  • FTS Measurements

  • Inverse modelling (2)

    • Incorporate real measurements to determine source estimates


Modelling 1 test phase

Forward atmospheric transport model (CCAM)

Generate synthetic data representative of the planned measurement strategy

Time Dependent Inverse (TDI) model

Test value of additional measurements in determining sources and uncertainties when added to a standard existing network

CO2 only (currently)

Background site network

CMDL/NOAA flask sites – monthly averaged

Continuous Cape Grim synthetic data

Additional sites (separately, combined)

Darwin

Alice Springs

Ghan Railway

Modelling (1) – Test phase


Modelling results

Uncertainty improvement - Darwin + basic network

Modelling Results


Ghan railway

Uncertainty improvement - Ghan railway + basic network

Ghan railway

Darwin

Ghan Railway


Darwin ghan

Uncertainty improvement - Darwin AND Ghan Railway + basic network

Darwin & Ghan


Where to now

Where to now?

  • Further investigate measurement strategies

    • Frequency of Ghan measurements

    • Combinations of sites

    • Indian-Pacific railway

  • Multi-species inversions

    • Use CH4, CO data as well as CO2

  • Using column measurements

  • Measurements

    • Lauder

    • Darwin

    • Ghan railway

  • Model the measurements

    • Australian carbon cycle information


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