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Atmosphere Clouds Aerosols Ozone GHG. Issues and remarks (synthesis after presentations and discussion). Potential Collaborations – Phase 1. Important to investigate, establish whether critical or not or what extent Feasible in Phase 1
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AtmosphereCloudsAerosolsOzoneGHG Issues and remarks (synthesis after presentations and discussion)
Potential Collaborations – Phase 1 • Important to investigate, establish whether critical or not or what extent • Feasible in Phase 1 • Intercomparison of products and/or by-products (ALL INITIAL SMALL DATASETS) • Cloud Mask for 1 day, Cloud & Aerosol • Comparison of GHG aerosol by product & Aerosol Product • Use of aerosol product to interpret GHG product (identify aerosol-related GHG errors) • Other small activities with Land/Marine – bilateral • Further potential benefits would come from collaborative sensitivity studies/options • Some have already been proposed to ESA • Is there substantial justification for ESA to decide? • Formulate Phase 2 plan near end of Phase 1 on bilateral basis
Potential Collaborations – Phase 2 • Intercomparison of products and/or by-products (LARGER DATASETS, ) • Cloud Mask, Cloud & Aerosol • Comparison of GHG aerosol by product & Aerosol Product • Use of aerosol product to interpret GHG product • Options to use Aerosol product in GHG retrieval • Many more ideas – prioritize
General Issues • Opportunity to make bridge between Ozone and Climate communities • WMO evaluations of chemistry-climate models • Opportunity for validation with ozone profiles • Climate: climatological fields, could be improved by using ECV as input • From end of Phase 1? • Can anything be done with 1-yr datasets sooner? • Usage/consistency of L1B data • When one instrument used by several teams (ATSR, MERIS, AVHRR etc) • Same versions across ECVs? Let teams make their own improvements? • Exchange new information when learned • Currently bilateral and informal, need to document in traceable way • Who to take lead, one per instrument? • Needs to be solved before Production phase – clear reference L1B dataset • Agenda item for next colocation – how to organize communication/responsibilties
Q1: URD • URD : expression of needs of end-user at time t (G/B/T). As such mix satellite with other data => Not refer to any satellite technique or mission • CRG needs for various applications: • Model assessment and improvement (process studies) • Seasonal/regional forecast • Projections • Long terme trends • Impacts/attributions • Etc. Have all the applications been considered? Has any CCI team teh feeling that iteration will be necessary. Which mechanism, schedule? Take into account CMUG recommendations for next URD revisions
Q2: PSD • Should describe level 2, 3 or 4 to meet UR on the best way based on existing data set…but start using new data to build up data series for future. • Include current state of the art in the PSD • Choice of products must consider what is existing/available and describe benefit of CCI to the end user (within CCI or without!) (see use of satellite products as recensed by IS-ENES) • Query about content going in PSD or Science Agenda/Vision Doc • Take into account CMUG recommendation for next PSD revisions
Q3: Cross ECV consistency • Some CDR (ECV) by-products for other ECVs . Impact of knowledge established by sensitivity study => impact ? (consistency of level 1, etc.?) • Climate correlations between variables (e.g. Ozone and SST in tropics, Ozone and ice in polar regions) => impact on the simultaneity, on choice of the instrument, the algorithm, the performances? • Gap : H2O (simultaneous)
Q4: Uncertainties • Evaluate which technique the best in which conditions (region, time, resolution, etc.)? • Ensemble approach? (metrics?) • What comes from the technique, from L1, from processing to L2, from L2 to L3, etc?
Q5: Use of reanalysis • Remains unclear to which extent data are needed? • Does it affect objective assessment of climate impact?