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The Activities of. Andrea Kaiser-Weiss GHRSST Project Officer, based at NCEO, University of Reading, UK since August 2010. NASA SST meeting Seattle 9 th Nov 2010. Outline. Pre-requisites of data merging and how addressed in GHRSST Related European activities
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The Activities of Andrea Kaiser-Weiss GHRSST Project Officer, based at NCEO, University of Reading, UK since August 2010 NASA SST meeting Seattle 9th Nov 2010
Outline • Pre-requisites of data merging and how addressed in GHRSST • Related European activities • GHRSST in the international landscape • Summary
Pre-requisites of Data merging • Standardisation of formats (GDS2) – progress of GDS2 implementation (DAS-TAG) . • Data merging requires quality flags and error estimates : SSES (ST-VAL) and bias removal • Physical approach requires developments of retrieval methods (EarWig) . • Data merging requires handling diurnal variability (DVWG) . • Special problems in High latitudes (HL-TAG) .
GHRSST working and task groups Data Assembly and Systems DAS-TAG SSES and Validation STVAL Diurnal Variability DV-WG Estimation Methods EARWiG Lake Surface Water Temp. LSWT-WG Rescue & Reprocessing Historical AVHRR Archives R2HA2-WG High Latitude HL-TAG Applications and User Services AUS-TAG Inter-comparisons IC-TAG Reanalysis RAN-TAG
Estimation Methods EARWiG Diurnal Variability DV-WG Lake Surface Water Temp. LSWT-WG Data Assembly and Systems DAS-TAG High Latitude HL-TAG Applications and User Services AUS-TAG Inter-comparisons IC-TAG Reanalysis RAN-TAG GHRSST Organisation CEOS-VC CEOS SST chairs GPO : GHRSST International Project Office International Stakeholder Advisory Council International GHRSST Science Team SSES and Validation STVAL-TAG Rescue & Reprocessing Historical AVHRR Archives R2HA2-WG User Requirements for high resolution Sea Surface Temperature data products and services from operational, scientific, and climate communities.
GHRSST R/GTS framework Donlon et al, 2007
Outline • Pre-requisites of data merging and how addressed in GHRSST • Related European activities - ERNESST - CCI (see Chris) - OSI-SAF - MyOcean 3. GHRSST in the international landscape 4. Summary
ERNESST European Research Network for Estimation from Space of Surface Temperature: • Retrieval techniques • Clouds • Diurnal variability • Integrating different satellites and in situ • Interaction with NASA-SST wanted
NEWS (from Pierre Le Borgne) Short term: The new Geostationary OSI SAF SST chain is expected to be operational in January 2011 Cloud mask control flagging dubious pixels A bias correction method is being implemented Files are GDS V2 compliant Delivery to Beta Users in November 2010 Experimental products (OE SST, sdi, DW, fronts) available progressively in 2011 Longer term: Preparation of the OSI SAF CDOP2 (next contract with EUMETSAT): 2012-2017 Bias correction/OE applied to METOP/AVHRR All SEVIRI data reprocessed with the new chain
Error simulation Analyzed SST(OSTIA) Retrieved (predicted) SST ECMWF profiles + RTTOV Operational algorithm Applied on simulations Retrieved – analyzed SST = Predicted algorithm error (used as a correction term) Simulated BTs
Biases improved with the new algorithm Cause: atmospheric water vapour Le Borgne, P., Roquet, H. & C.J. Merchant, Estimation of SST from the SEVIRI, improved using numerical weather prediction, Remote Sensing of Environment,115, 55–65, 2011. Before: After:
News fromMyOcean L3 (Europe)
MyOcean QC/Validation • MyO V1 (Dec 2010, see myoceanservice@ifremer.fr) • Minimum QC/validation service • black list (as is) • L2P minimum list QC and validation • All L3 + L4 • HR/DDSV1 • Issues • MyO V1 Outputs will be delivered in preGDS2 format • MyO will have to cope with inputs in GDS1 and GDS2 formats: Any provider please send us your transition to GDS2 planning, Thanks!
US: for example MUR analysis by Mike Chin at JPL
Outline • Pre-requisites of data merging and how addressed in GHRSST • Related European activities • GHRSST in the international landscape - CEOS-VC - User communities 4. Summary
3. GHRSST in the international landscape GHRSST = independent, and well linked to the national and international space agencies, Met-offices, and major research institutes (e.g. Navoceano, NOAA) GHRSST interaction with NASA SST Science Team, ERNESST, ESA CCI, MyOcean, Australia, Japan, and others. Links to GCOS, CEOS, JCOMM, WCRP, OceanView, ET-OOFS, DBCP, Argo
GHRSST serving as CEOS SST-VC • Improve coordination, consolidation and development of the collective EO SST capability • Improve SST products, services and their dissemination with better user engagement • Avoid duplication of existing activities by using the well established GHRSST as the prime implementation mechanism.
GHRSST Applications and User support (AUS-TAG) User communities: SST related research (ocean/atmosphere/coupling) Ocean modelling and forecasting NWP (hurricanes, seasonal-interannual rainfall variability) Climate variability and change Ecosystems (habitats, marine agriculture) Fisheries Navy acoustic signal processing
Users and GHRSST’s responsibility The Advisory committee noted that there are now more users than ever before and advised GHRSST that care was needed to serve this user community well. • GHRSST is now focussing on documentation, products and services, which are easy to access, useful and well maintained
User tools and Services • NAIAD and dataminer • IFREMER and JPL • SQUAM • GMPE • HRDDS • WMS • G1 OurOcean • DataCasting
GHRSST XII Science Team meeting 2011 Edinburgh, Scotland, 27 June - 01 July Special emphasis is on facilitating the exchange between data users and producers. Please indicate your interest by sending an email to ghrsst-edinburgh2011@reading.ac.uk
Summary GHRSST has strong overlap with NASA SST (ongoing and new) and collaboration is highly desirable. GHRSST will work towards community consensus on SST issues. NASA SST meeting Seattle 9-12 Nov 2010