Projects per year
Abstract
Original language | English |
---|---|
Pages (from-to) | 1186-1192 |
Number of pages | 6 |
Journal | Nature Climate Change |
Volume | 14 |
Issue number | 11 |
DOIs | |
Publication status | Published - 21 Oct 2024 |
Bibliographical note
Funding Information:C.B. was funded by the Met Office Climate Science for Service Partnership (CSSP) Brazil project which is supported by the Department for Science, Innovation & Technology (DSIT). C.B. and N.C. were supported by the Met Office Hadley Centre Climate Programme funded by DSIT. S.L. was supported by a PhD Fundamental Research Grant by Fonds Wetenschappelijk Onderzoek\u2014Vlaanderen (11M7723N). Part of the resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation\u2014Flanders (FWO) and the Flemish Government. D.I.K. was supported by the Natural Environment Research Council as part of the LTSM2 TerraFIRMA project. H.H. is supported by US Department of Energy (DOE), Office of Science (Lab Directed Res & Dev (LDRD) 29IN290162:80941). The Pacific Northwest National Laboratory (PNNL) is operated for DOE by the Battelle Memorial Institute under contract DE-AC05-76RLO1830. M.F. used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID 1202. F.L. is supported by the National Key R&D Program of China (2022YFE0106500). W.L. is supported by the National Key R&D Program of China (grant no. 2019YFA0606604). J.C. is supported by the National Key R&D Program of China (2022YFF0801904). W.T. and M.M. acknowledge funding from the EU Horizon 2020 research and innovation programme (SPARCCLE). L.N. is supported by the Strategic Research Area \u2018Modelling the regional and global Earth system\u2019, MERGE, funded by the Swedish government and the simulations were enabled by resources provided by LUNARC, The Centre for Scientific and Technical Computing at Lund University. M.M. received funding from the German Federal Ministry of Education and Research (BMBF) under the research projects QUIDIC (01LP1907A) and is based on work from COST Action CA19139 PROCLIAS (process-based models for climate impact attribution across sectors), supported by COST (European Cooperation in Science and Technology). S.H. acknowledges support from the Max Planck Tandem group programme and from Universidad del Rosario within the programme of Fondos de arranque. A.I. was supported by the JSPS KAKENHI grant no. JP21H05318. We also thank the ISIMIP core team for making these simulations possible.
Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.
Projects
- 1 Active
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FWOTM1152: Detection and attribution of changes in global wildfire activity to anthropogenic drivers using machine learning
1/11/22 → 31/10/26
Project: Fundamental
Research output
- 4 Citations
- 1 Poster
-
Global Burned Area Increasingly Affected by Climate Change
Lampe, S., 20 Feb 2024.Research output: Unpublished contribution to conference › Poster
Activities
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Research Stay UK MetOffice
Seppe Lampe (Contributor) & Chantelle Burton (Participant)
3 Jan 2023 → 19 Jan 2023Activity: Other › Research and Teaching at External Organisation
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Is climate change driving an increase in global fires?
Seppe Lampe (Speaker)
9 Jun 2023Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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The Effect of Climate Change on Global Wildfire Activity
Seppe Lampe (Speaker)
24 Apr 2023Activity: Talk or presentation › Talk or presentation at a conference
Equipment
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High Performance Computing – FWO/VSC/VUB – Tier2
Facility/equipment: Equipment