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A-SCOPE A dvanced S pace C arbon and Climate O bservation of P lanet E arth

A-SCOPE A dvanced S pace C arbon and Climate O bservation of P lanet E arth. MAG : F.M. Breon, H. Dolman, G. Ehret, P. Flamant, N. Gruber, S. Houweling , M. Scholze, R.T. Menzies and P. Ingmann (ESA). Overview of existing / planned missions What is a Lidar? Why a CO 2 Lidar?

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A-SCOPE A dvanced S pace C arbon and Climate O bservation of P lanet E arth

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  1. A-SCOPEAdvanced Space Carbon and Climate Observationof Planet Earth MAG: F.M. Breon, H. Dolman, G. Ehret, P. Flamant, N. Gruber, S. Houweling, M. Scholze, R.T. Menzies and P. Ingmann (ESA)

  2. Overview of existing / planned missions What is a Lidar? Why a CO2 Lidar? Instrument requirements Outline

  3. Thermal IR: NOAA-TOVS, AIRS, IASI Near IR: SCIAMACHY OCO (2009), GOSAT (2009) Near IR: A-SCOPE; candidate ESA Earth explorer mission (~2015) CO2 from space: Existing and planned missions Passive Active

  4. CO2 Lidar Contextual camera (TBC) Altimeter: Canopy height distribution (TBC) A-SCOPE payload

  5. Measurement Principle Active: Laser + Receiver - Lidar: Light Detection and Ranging • Differential Absorption Lidar • (DIAL) • 2-3 wavelengths as probe • (on) and reference (off)

  6. Sampling approach - Measurements accumulated and averaged over a 50 km interval 50km • on in the wing of an absorption • line to optimize the sensitivity to • surface • Dusk - dawn orbit • (diurnal cycle amplitude) <100m

  7. versus thermal IR: - high surface sensitivity versus near IR: - eliminates the influence of thin cloud layers and aerosols - measures during nighttime Advantage over passive systems

  8. Path > l Path = 0 Path < l Path = l How do aerosols affect CO2?

  9. Modelled aerosol error Annual mean Houweling et al. (ACP, 2005)

  10. SCIAMACHY CO2 Annual mean … OCO: Can handle aerosols much better than SCIAMACHY

  11. Target requirement on surface flux estimation (level 3): 0.02 PgC/yr over 106 km2 (or ~ 50% of the annual flux) CO2 Lidar: Accuracy requirements

  12. Inverse modelling simulations Translation to XCO2 (level 2) Required precision: 0.5 - 1.5 ppm Systematic error: 10% of precision

  13. Canopy Lidar Canopy height distribution Harding & Carabajal (GRL, 2005)

  14. CO2 study:‘Observation Techniques and Mission Concepts for Analysis of the Global Carbon Cycle’ Other activities: study regarding 1.6 and 2.0 micron observations of relevant lidar reflectivities study regarding the diurnal cycle of carbon dioxide study addressing instrument requirements for CCDAS Supporting activities

  15. A-SCOPE is a mission aiming at the monitoring of spatial and temporal gradients of atmospheric CO2 globally. A potentially complementary objective of the mission is the measurement of canopy height distribution. Cloud and aerosol information will be provided as a “by-product”. Conclusions

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