CCI Living Planet Fellowships
Stephen Plummer (ESA) & LPF Postdocs
CCI Living Planet Fellowships Stephen Plummer (ESA) & LPF - - PowerPoint PPT Presentation
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)
Stephen Plummer (ESA) & LPF Postdocs
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.
cross-ECV and multiple ECV use and enhancing interactions between CCI members and other Earth Science laboratories, research centres and universities
evaluation to fund up to 5 further projects.
terrestrial, cryosphere and ocean domains
providing linkage between different CCI projects.
with the consortia during the 6th CCI Collocation itself .
place on yesterday, 28th September to provide early feedback on experience in dealing with CCI data.
Fellowships/Climate Office Researchers
Ocean Colour at low sun and high waves
Climate Impact on MARine ECOsystem State
VERification of high-resolution climate forecasts on Intraseasonal- to-interannual Timescales with Advanced Satellite datasets of the Climate Change Initiative
C r y o S a t m e a s u r e m e n t s o f Antarctic Ice Shelf thickness change
Surface wat er and cl i mat e variability from a high-resolution GIEMS-SAR merged product
Exploring thE cArboN CyclE through atmospheric GreenHouse Gas variability
CARBOn dioxide emissions from FIRES
The Environmental Response to Aerosols observed in CCI ECVs
Does Increasing Temperature Increase Carbonaceous Aerosol Direct Radiative Effect over Boreal Forests?
Anna Maria Trofaier
Anne Stefaniak
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 inter- annual variability of atmospheric CO2 and the underlying carbon cycle.
Rob Parker – University of Leicester
1) To iden8fy and quan8fy the spaGal-temporal anomalies in satellite remote sensing data of atmospheric XCO2 and XCH4 and to interpret them in the context of surface characterisGcs such as land- cover and vegetaGon. 2) To inves8gate the key physical climaGc drivers for observed atmospheric XCO2 and XCH4 anomalies and to assess the representaGon of these coupling processes in current land system models.
Figures: Hovmoller plots of SCIAMACHY BESD XCO2 and XCO2 anomalies (left) and global season maps of GOSAT Proxy XCH4 (above)
University of Bremen (IUP), Bremen, Germany heymann@iup.physik.uni-bremen.de
Fire CO2 enhancements - 2004 Satellite data Model data Estimated fire CO2 emissions
SCIAMACHY BESD CarbonTracker
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. Data sets: Satellite CO2 observations: SCIAMACHY BESD, GOSAT datasets (planned) Fire CO2 emissions: GFED, GFAS (planned) Global CO2 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 CO2 concentrations to quantify how large the fire-related CO2 enhancements are. Inversion of the satellite data to estimate the CO2 emissions. Error analysis. Aim: Improve our knowledge about the role of fires for the carbon cycle by estimation of fire CO2 emissions directly from satellite measurements.
Adam Povey, Matt Christensen, …, Don Grainger PRELIMINARY DATA PRELIMINARY DATA
for the measurement of atmospheric aerosol properties
aerosol direct radiative effect
between AOD and LST using remote sensing data (AATSR) and a climate model ECHAM-HAMMOZ
caused by a warming-induced increase in the aerosol direct radiative effect
Synergy between ocean colour and wind-wave observations 1. Revision of light reflection and transmission properties at realistic sea surfaces. 2. Study of wind-wave effects
in the atmosphere and
3. Development of an ocean colour algorithm for OLCI using available wind and wave input.
Martin Hieronymi (martin.hieronymi@hzg.de)
9
Chlorophyll concentration (Dec. 2011, OC-CCI) Wave height ERA-Interim
ESA Living Planet Fellowship – Future Plans
Pressure:
Phenology Indicators from CZCS Suite of Indicators from Ecosystem Model Suite of Indicators from OC-CCI:
Central Pacific El Niño Eastern Pacific El Niño
Pressure:
Capotondi et al., JAS 2014
+15
% change
Racault et al., In prep.
Chlorophyll OC-CCI
Marie-Fanny Racault, Plymouth Marine Laboratory (UK) Ins8tu8on Host: Shubha Sathyendranath
near-term climate change - a rapidly emerging field
from past predictions
so far - although large potential
resolution coping with model resolutions, estimate of observational uncertainty. High-quality observations improve your model skill
Correlation of ENSO prediction