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D CV-15: L1 top-of-atmosphere interoperability
L1 top-of-atmosphere interoperability
Creation Year:
Completion Date:
2019 Q4 (251 days overdue)
Cumulative Delay:
Original Completion Date:
Nov. 30, 2019
Resources (FTE):
Resources (USD):
Develop an initial recommendation of a community reference in collaboration with GSICS.
Link to GEO Work Programme:
External Reference:
Responsible Users:
Nigel Fox
Responsible CEOS Entities:
Contributing Agencies:
Progress Reports:
2019-09-07 03:10:24 UTC

A concerted effort is planned for Q1 and Q2 2019 to gather existing material from across multiple GSICS and WGCV activities to place the specified recommendation on the CEOS website by Q4 2019.Confusion on the intent of the work plan caused delays in completing this item during 2018.  Clarifications at WGCV-44 led to an updated completion date of Q4 2019 | 2019-09-30 13:01:10 UTC

A joint WGCV GSICS workshop 'An SI-Traceable Space-based Climate Observing System'  hosted by UKSA at NPL in the UK was held in September.  The workshop attracted nearly 100 participants and considered the needs, state of the art and prospects of how to achieve L1 traceabiliy and satellite to satellite interoperabiliy to meet the most demanding needs of climate. However, it was recognised that steps required for climate would result in the necessary benefits for science and operational sensors. Although the 3 day workshop concerned primarily optical sensors (UV to TIR) it also addressed the needs of passive microwave as well. The conclusion of the workshop was that whilst every effort should be made to incorporate all comparison knowledge from vicarious earth surface and Lunar measuremnts, comparison to a well-calibrated reference sensor over a range of geogrpahical locations was a solution to be strived for.  These reference sensors should be SI-traceable and have been given the generice name of SITSATS (SI Traceables Satellites) with current examples being CLARREO Pathfinder, TRUTHS and a proposed Chinese mission called CRABS. 

The output of the workshop will be a community white paper (Dec 2019) and a peer review porceedings early in 2020. It is believed that this white paper will provide a top-level strategy for this task and with it establish a framework for sub-tasks that will need to be continued and developed further to facilitate bias analysis for both main stream sensors and new space constellations . Notalbly, Lunar model improvement, methods to carry out sensor to sensor comparison and vicarous test sites including the operational RadCalNet and methods to mathematically combine the results in an effective and robust manner..  

Comments: | 2019-10-07 07:05:42 UTC

Seeing the workshop proceedings are not due until early 2020 does this deliverable need extension to Q12020?

2019-09-07 03:10:24 UTC
Last Updated:
2019-10-07 07:05:42 UTC