CCI Living Planet Fellowships. Stephen Plummer (ESA) & LPF Postdocs

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CCI Living Planet Fellowships Stephen Plummer (ESA) & LPF Postdocs

The CCI Postdoctoral Scheme 1. As a partial response to the call for exploitation opportunities in CCI, the Climate Change Initiative (CCI) Living Planet Fellowships (LPF) are designed to specifically target the exploitation of essential climate variable (ECV) products generated by the ESA s CCI, for improved understanding of the climate system. 2. As well as exploitation of ECV products, other themes were on cross-ecv and multiple ECV use and enhancing interactions between CCI members and other Earth Science laboratories, research centres and universities 3. Part of the ESA Living Planet Fellowship Scheme along with other ESA Programmes STSE, SEOM 4. Nine projects selected in 2014, with a second call under evaluation to fund up to 5 further projects.

The CCI Postdoctoral Scheme 1. The projects are equally distributed between atmosphere, terrestrial, cryosphere and ocean domains 2. Tackle aspects not covered in the main CCI projects with most providing linkage between different CCI projects. 3. All fellows are encouraged to interact between themselves and with the consortia during the 6 th CCI Collocation itself. a. A first meeting of the CCI postdoctoral fellows took place on yesterday, 28 th September to provide early feedback on experience in dealing with CCI data. b. Ice Breaker and Poster Session for CCI Living Planet Fellowships/Climate Office Researchers

The CCI Postdoctoral Scheme 1. Robert Parker (U. Leicester) Exploring the carbon CyclE through atmospheric GreenHouse Gas variability 2. Jens Heymann (U. Bremen) CARBOn dioxide emissions from FIRES 3. Adam Povey (U. Oxford) The Environmental Response to Aerosols observed in CCI ECVs 4. Tero Mielonen (FMI) Does Increasing Temperature Increase Carbonaceous Aerosol Direct Radiative Effect over Boreal Forests? 1. ESA Research Fellowship Anna Maria Trofaier 2. ESA Young Graduate Trainee Anne Stefaniak 5. Martin Hieronmyi (HZG) Ocean Colour at low sun and high waves 6. Marie-Fanny Racault (PML) Climate Impact on MARine ECOsystem State 7. Omar Bellprat (Barcelona SCC) VERification of high-resolution climate forecasts on Intraseasonalto-interannual Timescales with Advanced Satellite datasets of the Climate Change Initiative 8. Anna Hogg (U. Leeds) CryoSat measurements of Antarctic Ice Shelf thickness change 9. Simon Munier (Estellus) Surface water and climate variability from a high-resolution GIEMS-SAR merged product

ELEGANCE-GHG: ExpLoring the Global carbon CyclE through atmospheric GreenHouse Gas variability 1) To iden8fy and quan8fy the spagal-temporal anomalies in satellite remote sensing data of atmospheric XCO 2 and XCH 4 and to interpret them in the context of surface characterisgcs such as landcover and vegetagon. 2) To inves8gate the key physical climagc drivers for observed atmospheric XCO 2 and XCH 4 anomalies and to assess the representagon of these coupling processes in current land system models. 3) To improve our understanding of the role of wetland inter-annual variability on the methane cycle. 4) To quan8fy the influence that disturbances (such as biomass burning and land-use change) have on the interannual variability of atmospheric CO 2 and the underlying carbon cycle. Figures: Hovmoller plots of SCIAMACHY BESD XCO 2 and XCO 2 anomalies (left) and global season maps of GOSAT Proxy XCH 4 (above) Rob Parker University of Leicester

CARBOn dioxide emissions from FIRES - CARBOFIRES Aim: Improve our knowledge about the role of fires for the carbon cycle by estimation of fire CO 2 emissions directly from satellite measurements. Fire CO 2 enhancements - 2004 Contribution to the CCI program: Reduction of uncertainties in our knowledge about the carbon cycle. Exploitation of different GHG-CCI products. Use of FIRE-CCI products. Satellite data SCIAMACHY BESD Dr. Jens Heymann University of Bremen (IUP), Bremen, Germany heymann@iup.physik.uni-bremen.de Data sets: Satellite CO 2 observations: SCIAMACHY BESD, GOSAT datasets (planned) Fire CO 2 emissions: GFED, GFAS (planned) Global CO 2 model: CarbonTracker Global burned area product: FIRE-CCI product (planned) Strategy: Identification of promising fire events for the analysis. Identification of satellite measurements affected by fires. Determination of background CO 2 concentrations to quantify how large the fire-related CO 2 enhancements are. Inversion of the satellite data to estimate the CO 2 emissions. Error analysis. Model data CarbonTracker Estimated fire CO 2 emissions

Adam Povey, Matt Christensen,, Don ERACE: The environmental response to aerosols observed in CCI ECVs Currently evaluating short and longwave radiative effects using aerosol and cloud CCI data Aim is to product a postprocessor for those data Later, localised aerosol sources to be investigated by orienting with data with direction of wind PRELIMINARY DATA PRELIMINARY DATA

Does Increasing Temperature Increase Carbonaceous Aerosol Direct Radiative Effect (over Boreal Forests)? Tero Mielonen, Atmospheric Research Center of Eastern Finland (FMI) PhD thesis, 2010: Evaluation and application of passive and active optical remote sensing methods for the measurement of atmospheric aerosol properties Postdoc visit at KNMI: retrieval of tropospheric ozone with OMI ITICA: - estimate the effect of increasing temperatures on the aerosol direct radiative effect - investigate the causes of the positive correlation between AOD and LST using remote sensing data (AATSR) and a climate model ECHAM-HAMMOZ - over the Southeastern US - over boreal regions - estimate the significance of the negative feedback caused by a warming-induced increase in the aerosol direct radiative effect

Ocean colour at low sun and high waves Martin Hieronymi (martin.hieronymi@hzg.de) Synergy between ocean colour and wind-wave observations Chlorophyll concentration (Dec. 2011, OC-CCI) 1. Revision of light reflection and transmission properties at realistic sea surfaces. 2. Study of wind-wave effects on the solar radiative transfer in the atmosphere and ocean. 3. Development of an ocean colour algorithm for OLCI using available wind and wave input. Wave height ERA-Interim 9

ESA Living Planet Fellowship Future Plans CLimate Impact on MARine ECOsystem State - CLIMARECOS Marie-Fanny Racault, Plymouth Marine Laboratory (UK) Ins8tu8on Host: Shubha Sathyendranath Analysis of Contemporary Data Records Pressure: El Niño variability Climate Index Capotondi et al., JAS 2014 Eastern Pacific El Niño Central Pacific El Niño Suite of Indicators from OC-CCI: Chlorophyll Primary Production Phenology (timing, duration) Chlorophyll OC-CCI % change +15 0-15 Racault et al., In prep. Analysis of Past Data Records and Ecosystem Model Outputs Pressure: Climate Change Warmer scenario Phenology Indicators from CZCS Suite of Indicators from Ecosystem Model

VERITAS-CCI: Verifying climate predictions Correlation of ENSO prediction High-quality observations improve your model skill Predicting natural variabilities and near-term climate change - a rapidly emerging field Predictions only useful if skill is known from past predictions Satellite observations played little role so far - although large potential Independent observations, highresolution coping with model resolutions, estimate of observational uncertainty.

Surface water and climate variability from a high-resolugon SAR-GIEMS merged products Global Inunda8on Extent from Mul8-Satellites (GIEMS) Sen8nel SAR Downscaled using topography Data Fusion Global, long-term and high-resolugon flood-risk database