Summary
The increasing frequency and intensity of droughts in response to climate change threaten the capability of forests to act as climate regulators and
carbon sinks. Currently, Land Surface Models (LSMs), the terrestrial components of climate models used to make climate projections,
underestimate severity of and the recovery time from droughts. Therefore, credible and reliable climate projections, require improving the realism
of forests drought response in the LSMs. CEROBI will address this problem by using carbon isotopes in tree rings and in the atmosphere to
constrain model parameters related to ecosystem response and resilience to droughts. This objective will be achieved through four key steps using
the ORCHIDEE LSM, although the methods developed throughout the project will be applicable to any LSM. First, I will add a few missing processes
required to fully represent the carbon isotopic composition of tree rings in LSMs. Second, I will eval-uate the drought response and
resilience of forests in ORCHIDEE using various kind of carbon isotope data. Third, I will identify the key model parameters controlling the drought
response. Finally, using Bayesian techniques, I will assimilate carbon isotopes measurements at eddy-covariance sites and in tree-rings to calibrate
these key model parameters. The newly calibrated ORCHIDEE LSM will be run globally during the period 2000-2100 under a range of
Shared Socioeconomic Pathways CO2 emissions scenario to assess the long-term impact of droughts on the carbon and water cycles. The project
is designed to exert my skills in atmospheric photosynthetic tracers and to develop my knowledge of ecosystem processes while generating highimpact
results. The fellowship will be a springboard to become an independent leading researcher in the fields of the carbon and water cycles.
carbon sinks. Currently, Land Surface Models (LSMs), the terrestrial components of climate models used to make climate projections,
underestimate severity of and the recovery time from droughts. Therefore, credible and reliable climate projections, require improving the realism
of forests drought response in the LSMs. CEROBI will address this problem by using carbon isotopes in tree rings and in the atmosphere to
constrain model parameters related to ecosystem response and resilience to droughts. This objective will be achieved through four key steps using
the ORCHIDEE LSM, although the methods developed throughout the project will be applicable to any LSM. First, I will add a few missing processes
required to fully represent the carbon isotopic composition of tree rings in LSMs. Second, I will eval-uate the drought response and
resilience of forests in ORCHIDEE using various kind of carbon isotope data. Third, I will identify the key model parameters controlling the drought
response. Finally, using Bayesian techniques, I will assimilate carbon isotopes measurements at eddy-covariance sites and in tree-rings to calibrate
these key model parameters. The newly calibrated ORCHIDEE LSM will be run globally during the period 2000-2100 under a range of
Shared Socioeconomic Pathways CO2 emissions scenario to assess the long-term impact of droughts on the carbon and water cycles. The project
is designed to exert my skills in atmospheric photosynthetic tracers and to develop my knowledge of ecosystem processes while generating highimpact
results. The fellowship will be a springboard to become an independent leading researcher in the fields of the carbon and water cycles.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101111518 |
| Start date: | 01-01-2024 |
| End date: | 31-12-2025 |
| Total budget - Public funding: | - 187 624,00 Euro |
Cordis data
Original description
The increasing frequency and intensity of droughts in response to climate change threaten the capability of forests to act as climate regulators andcarbon sinks. Currently, Land Surface Models (LSMs), the terrestrial components of climate models used to make climate projections,
underestimate severity of and the recovery time from droughts. Therefore, credible and reliable climate projections, require improving the realism
of forests drought response in the LSMs. CEROBI will address this problem by using carbon isotopes in tree rings and in the atmosphere to
constrain model parameters related to ecosystem response and resilience to droughts. This objective will be achieved through four key steps using
the ORCHIDEE LSM, although the methods developed throughout the project will be applicable to any LSM. First, I will add a few missing processes
required to fully represent the carbon isotopic composition of tree rings in LSMs. Second, I will eval-uate the drought response and
resilience of forests in ORCHIDEE using various kind of carbon isotope data. Third, I will identify the key model parameters controlling the drought
response. Finally, using Bayesian techniques, I will assimilate carbon isotopes measurements at eddy-covariance sites and in tree-rings to calibrate
these key model parameters. The newly calibrated ORCHIDEE LSM will be run globally during the period 2000-2100 under a range of
Shared Socioeconomic Pathways CO2 emissions scenario to assess the long-term impact of droughts on the carbon and water cycles. The project
is designed to exert my skills in atmospheric photosynthetic tracers and to develop my knowledge of ecosystem processes while generating highimpact
results. The fellowship will be a springboard to become an independent leading researcher in the fields of the carbon and water cycles.
Status
SIGNEDCall topic
HORIZON-MSCA-2022-PF-01-01Update Date
12-03-2024
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