Terrestrial ECVs Fire/burnt area, Land cover, Soil Moisture.

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Presentation transcript:

Terrestrial ECVs Fire/burnt area, Land cover, Soil Moisture

Product summaries  Pixel product: monthly, MERIS resolution, date of detection,  Grid product: 15 day, 0.5x0.5°,  Validation based error matrices, using LandSat  Probabilistic description of uncertainty  Improvements wrt StoA (e.g GFED): higher spatial reolution, better balanced accuracies  Model assimilation: emissions through ORCHIDEE  Improvements for phase 2: longer time series ( ): full MERIS record, MODIS, OLCI; fire database for Africa (landsat-8, Sentinel-2, Sentinel-1

Product summaries  BA:  Pixel product: monthly, MERIS resolution, date of detection,  Grid product: 15 day, 0.5x0.5°,  LC:  3 epochs centred around 2000, 2005, 2010  Including land surface condition climatology: NDVI, Burnt area, snow cover  Water bodies mask based on ASAR  MERIS surface reflectance  SM:  2 versions released, 3rd version in internal reviw (release Dec 2015)  3 products: active, passive, combined, based on 9 MW sensors 

Error characterisation  Innovative ways for QA are being explored:  BA: Probabilistic description of uncertainty  LC: 19 experts each dealing with ~200 points, cross-walking uncertainty  SM: signal-to-noise ratio as error metric

C3S, H outreach  C3S: No one really knows, but everyone is giving best effort to get prepared  FP7/H2020: used in various FP7 projects and various H2020 proposals submitted for all ECVs  Several national projects and initiatives  International and national activities:  BA: GOFC-GOLD; USGS ECV  LC: GOFC-GOLD  SM: GEWEX GDAP, BAMS StoCl [Dorigo et al., 2015, BAMS State of the climate in 2014]

User statistics  Many users of LC (750) and SM (1700) but also large potential for BA (>300 of GFED)

Planned activities phase 2  Various product updates  BA (2): longer time series ( ): full MERIS record, MODIS, OLCI; fire database for Africa (landsat-8, Sentinel-2, Sentinel-1  LC: Epoch 2015, based on PROBA-V & Sentinel-3  Epoch , based on AVHRR used for IGBP DISCover  Change product back to 1982, based on AVHRR GIMMS  Seasonal water bodies product  Sentinel-2 over Africa  SM: 3 updates  Yearly extensions  Integration of new sensors: SMOS, MEtOp-B, FengYun  dataset

Cross-ECV activities  BA: Fire risk assessment with SM and LST  BA: Fire emissions: GHG,Ozone, aerosol  BA: deforestation fires: LC  BA : LC maps included in gridded BA layers  LC: include soil moisture climatology ?  LC : BA to be averaged as land surface seasonality component  SM: fire risk ?

Common issues  Common input datasets -> strive for consistency  MERIS: BA and LC sharing most of the processing chain  Sentinel 1: BA, LC, SM  Sentinel 2: BA, LC  Common water mask (LC)  Need to establish cloud platforms that enable cooperation: