This team, putting together members of the BIOMAC, ABC3 and CLIM teams, aims to bring together scientists working on the components of the climate system (atmosphere, oceans, continents) and more specifically on their interactions via a set of processes: physical, biogeochemical and chemical. Our research aims to understand the role of human activities on climate and on the main biogeochemical cycles, and more precisely the respective shares of forcings and internal interactions in the response of the climate system. We are particularly interested in the variability of climate and of biogeochemical cycles, from the seasonal to the secular scale, in different climatic contexts (present, future, past).
Our working tool is the IPSL Earth System model (LMDz-INCA-ORCHIDEE-NEMO-PISCES). Our common characteristics / objectives are (among others):
Figure caption: global paleodust compilation for the Holocene period (Albani et al., 2015, Clim. Past)
My main research interests include the interpretation of paleoclimate records and quantifying the role of mineral (desert) dust in the Earth System. My reserch tools have included experimental work (on Antarcitc ice cores), the compilation of observational datasets, and last but not least numerical simulations with global (and regional) Earth System models.
Thanks to a Marie Curie Individual Fellowship I am now at LSCE working with Yves Balkanski and other colleagues on the project DUSC3 (DUST, CLIMATE AND THE CARBON CYCLE). DUSC3 aims at studying the direct and indirect impacts of dust on the climate system of the Earth, in particular during the Last Glacial Maximum, through simulations with the IPSL-CM model, constrained by the compilation of an innovative global paleodust database covering the last 130,000 years. The project started in December 2016 for 2 years.
More info: https://sites.google.com/site/samuelalbani/
Time scale: both projects should be finished by mid 2017
Models: LPJmL, semi-empirical regression model
Change in carbon export efficiency in the variable stoichiometry PISCES-QUOTA model under RCP8.5. a, The global carbon to nutrient export ratios at 100 m relative to mean 1990s values and b, the spatial distribution of C:N export anomalies and c, C:P export anomalies in the 2090s relative to mean 1990s values.
Objectives of the project:
Analysis of the role of spatial resolution (0.25°, 0.50°, 2°) and variable stoichiometry on global ocean biogeochemistry projections across the PISCES family of models.
Emergent constraints on projections of marine primary production in the global ocean. Relating interannual NPP variability and long-term sensitivity across the CMIP5 model ensemble in conjunction with satellite observations. (Kwiatkowski et al. in review)
Lester Kwiatkowski, CRESCENDO postdoctorate researcher (18 months July 2017 - Feb 2018).
More info: https://crescendoproject.eu/
Analysis and development of the PISCES-QUOTA variable C:N:P stoichiometry model. Focussing on understanding the implications of variable phytoplankton stoichiometry on centennial scale projections of ocean carbon uptake, primary production, food quality and trophic interactions. (Kwiatkowski et al. in prep)
Lester Kwiatkowski, IMBALANCE-P postdoctorate researcher (18 months Feb 2016 - July 2017).
More info: http://imbalancep-erc.creaf.cat/
Objectives of the project:
Climate change and land-use change are essential environmental challenges to society that are also inseparably linked: the climate shapes the way people use land, by affecting food and water supplies; land-use change contributes to global and regional climate change by affecting land biogeochemical and biophysical processes. In addition to the direct impacts of climate change on ecosystems, management practices for climate change adaptation or mitigation (for instance avoiding deforestation, or promoting the use of bioenergy) also affect the supply of ecosystem services, and impact on other important societal goals (such as energy security or trade balances). The interplay between land use and climate change is therefore fundamental in understanding land-based climate mitigation options and how societies will adapt to climate change in the future. LUC4C aims to provide progress towards quantitative understanding of impacts and feedbacks in the coupled human-land-climate system, and the role people play.
Devaraju Narayanappa, LUC4C postdoctorate researcher (Xx).
More info: http://luc4c.eu/
Last update : 04/11 2017 (94)