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EOC Science Activity at ANUTech in Canberra

EOC Science Activity at ANUTech in Canberra. Susan Campbell, Dean Graetz, Edward King, Jenny Lovell. WHAT do we do?. Produce the CSIRO AVHRR Time Series (CATS) Example of data consistency and standards (Quality) which flows from CSIRO best teams/practice.

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EOC Science Activity at ANUTech in Canberra

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  1. EOC Science Activity at ANUTech in Canberra Susan Campbell, Dean Graetz, Edward King, Jenny Lovell

  2. WHAT do we do? • Produce the CSIRO AVHRR Time Series (CATS) • Example of data consistency and standards (Quality) which flows from CSIRO best teams/practice. • AVHRR for land is chosen as the first example because of demand for high quality data sets (1981 - present) for research and consulting.

  3. WHY do we do it? • There is widespread and persistent demand from CSIRO colleagues for access to consistent, high quality land surface variables derived (in part) from AVHRR for: • Carbon cycle measurement & modelling • Surface Energy Balance (Water, Carbon) • ‘State of the Environment’ (condition and long term trends) • Given success with AVHRR, collaboration of CSIRO staff for other datasets will follow (eg SEAWifs) to the benefit of CSIRO research.

  4. WHO do we do it for? • Carbon modelling • (Mike Raupach, Damian Barrett CL&W) • Ying Ping Wang CAR • Surface Energy Balance • Bob Cechet • GCM group at CAR • ‘State of the Environment’ • Dean Graetz (50%) (biomass burning)

  5. NATURE of the task • Assembling, curating and stitching the 1km archive (1992-present) is one of the biggest data processing tasks ever undertaken by CSIRO (12 Tb) • It is a service to Divisional research efforts • Interactive feedback from clients (including from ourselves)

  6. HOW do we do it? • Data archaeology • Data product definitions(TOA & Surf. Refl., LST & derivatives, NDVI etc) • Select CSIRO best practice • Quality control and feedbacks on data products

  7. Best Practice • In order of importance • Calibration (pending) • Atmospheric correction (pending) • BRDF (active) • Navigation & remapping (active) • Cloud flagging (active)

  8. How WELL do we do it? • Science is not rate limiting • learned from past (eg) PAL • Implementation • pathfinding efforts are also problem finding efforts • dataset development (processing and distribution) • Given the magnitude and novelty of the task we are making good progress.Two examples: • AVHRR Stitching • PAL Temporal filtering

  9. PAL Temporal Filtering

  10. SNIFFS for the near future • Other Time Series to follow • SEAWifs • Landsat/SPOT archives (CSIRO holdings) • SPOT VGT (from WFW collaboration) • ATSR2 & AATSR (2000-…) • GMS Time series (2000-….) • Land: Biomass Burning • Marine: Rosby Waves in Pacific, SE Asian throughflow

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