Jean-François Exbrayat
Bamberg, Bayern, Deutschland
599 Follower:innen
500+ Kontakte
Info
I am a Data Scientist with extensive experience in using model optimization and…
Aktivitäten
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Let my people go to the mountains I'm a big fan of Yvon Chouinard, the founder of Patagonia and 1% for the Planet. His company is now 50 years old…
Let my people go to the mountains I'm a big fan of Yvon Chouinard, the founder of Patagonia and 1% for the Planet. His company is now 50 years old…
Beliebt bei Jean-François Exbrayat
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🌲Brandenburg, you were quite nice!🌲 Last week, our team took a refreshing break from the pulse of #Berlin with an inspiring Offsite in the heart…
🌲Brandenburg, you were quite nice!🌲 Last week, our team took a refreshing break from the pulse of #Berlin with an inspiring Offsite in the heart…
Beliebt bei Jean-François Exbrayat
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Join us tomorrow (Wed 7th) in the Bayes Centre in Edinburgh for the Data Lab's Geospatial Fringe Launch, the first of a series of events in…
Join us tomorrow (Wed 7th) in the Bayes Centre in Edinburgh for the Data Lab's Geospatial Fringe Launch, the first of a series of events in…
Beliebt bei Jean-François Exbrayat
Berufserfahrung
Ausbildung
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Justus-Liebig-Universität Giessen
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Hydrological modelling: development, calibration and validation of catchment-scale models that simulate runoff and water quality, study of the impact of climate change and evaluation of best management practices using modelling scenarios.
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M.Sc. Thesis realised at Stockholm University with Prof. Jan Seibert, project entitled "Water quality modelling for Swedish catchments - A comparison of INCA-N and SWAT"
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Bachelor's degree in Earth Sciences
Bescheinigungen und Zertifikate
Ehrenamt
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Volunteer helping in visitor research
Office of Environment and Heritage (NSW)
– 1 Jahr 6 Monate
Visitor survey to help in visitor management research.
Veröffentlichungen
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Quantifying the net contribution of the historical Amazonian deforestation to climate change
Recent large-scale carbon (C) emissions from deforestation have been estimated by combining remotely-sensed land use change information with satellite-based aboveground biomass (AGB) data. However, these estimates are constrained to the satellite era while regions such as the Amazon basin have been heavily impacted by deforestation before this period. Assessing the net contribution of past tropical deforestation to the growth in atmospheric CO2 is therefore challenging. We address this lack of…
Recent large-scale carbon (C) emissions from deforestation have been estimated by combining remotely-sensed land use change information with satellite-based aboveground biomass (AGB) data. However, these estimates are constrained to the satellite era while regions such as the Amazon basin have been heavily impacted by deforestation before this period. Assessing the net contribution of past tropical deforestation to the growth in atmospheric CO2 is therefore challenging. We address this lack of data by constructing two maps of potential AGB with a machine learning algorithm trained on the relationship between AGB and climate and topography in intact forest landscapes of the Amazon basin. Reconstructions converge to a current deficit of 11.5–12% in AGB or a net loss of ~7–8 Pg C of AGB in the Amazon basin compared to current estimates. This represents a net contribution of ~1.8 ppm of atmospheric CO2 or 1.5% of the historical growth.
Andere Autor:innen -
Projekte
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Comparative predictions of discharge
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A group of catchment modellers predicted the hydrological response of a man-made 6 ha catchment in its initial phase (Chicken Creek) without having access to the observed records. They used conceptually different model families. Their modelling experience differed largely. The prediction exercise was organized in three steps: (1) for the 1st prediction modellers received a basic data set describing the internal structure of the catchment (somewhat more complete than usually available to a…
A group of catchment modellers predicted the hydrological response of a man-made 6 ha catchment in its initial phase (Chicken Creek) without having access to the observed records. They used conceptually different model families. Their modelling experience differed largely. The prediction exercise was organized in three steps: (1) for the 1st prediction modellers received a basic data set describing the internal structure of the catchment (somewhat more complete than usually available to a priori predictions in ungauged catchments). They did not obtain time series of stream flow, soil moisture or groundwater response. (2) Before the 2nd improved prediction they inspected the catchment on-site and attended a workshop where the modellers presented and discussed their first attempts. (3) For their improved 3rd prediction they were offered additional data by charging them pro forma with the costs for obtaining this additional information.
Andere Mitarbeiter:innenProjekt anzeigen
Auszeichnungen/Preise
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Postdoctoral and early career researcher exchanges with Europe, North America, China & India (PECRE)
Scottish Alliance for Geoscience, Environment and Society
£3,000 travel grant to visit German laboratories for 6 weeks during autumn 2016
Sprachen
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English
Verhandlungssicher
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French
Muttersprache oder zweisprachig
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German
Fließend
Organisationen
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European Geosciences Union
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Weitere Aktivitäten von Jean-François Exbrayat
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Our new paper in PNAS dives deep into the Amazon’s carbon balance and the surprising impacts of deforestation, logging, fires, windthrows and other…
Our new paper in PNAS dives deep into the Amazon’s carbon balance and the surprising impacts of deforestation, logging, fires, windthrows and other…
Beliebt bei Jean-François Exbrayat
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🔥 We want #MachineLearning based downscaled #ERA5 for #Europe and #Arctic We have issued an Invitation to Tender (ITT Ref: C3S2_361b) for…
🔥 We want #MachineLearning based downscaled #ERA5 for #Europe and #Arctic We have issued an Invitation to Tender (ITT Ref: C3S2_361b) for…
Beliebt bei Jean-François Exbrayat
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Jean Francois Exbrayat
Membre du Conseil d’orientation et de surveillance de la Caisse d’Epargne d’Auvergne Limousin et président du Comité RSE et Mécénat. Adjoint Ville du Puy en Velay, Agglomération, Conseiller Départemental de la Hte Loire.
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Jean-François Exbrayat
trombone basse solo à l'Orchestre de la Garde Républicaine
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Jean-François Exbrayat
Trombone basse solo chez Orchestre de la Garde Républicaine
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