hdl:10013/epic.3cd412b7-6bb0-4cbd-9523-490bdd91e934
publisher:10.5194/egusphere-egu2020-1203

Quantification of terrestrial regional climate variability from a large database of pollen-based reconstructions and implications for future projections


Hébert, Raphaël ORCID: https://orcid.org/0000-0002-9869-4658, Herzschuh, Ulrike ORCID: https://orcid.org/0000-0003-0999-1261 and Laepple, Thomas ORCID: https://orcid.org/0000-0001-8108-7520 ;
Contact
raphael.hebert [ at ] awi.de

Abstract


Item Type
Conference (Conference paper)
Authors
Hébert, Raphaël ORCID: https://orcid.org/0000-0002-9869-4658, Herzschuh, Ulrike ORCID: https://orcid.org/0000-0003-0999-1261 and Laepple, Thomas ORCID: https://orcid.org/0000-0001-8108-7520 ;
Divisions
AWI Organizations > Geosciences > Junior Research Group: SPACE
AWI Organizations > Climate Sciences > Junior Research Group: ECUS
AWI Organizations > Geosciences > Terrestrial Environmental Systems
Primary Division
Organizations > AWI Organizations > Climate Sciences > Junior Research Group: ECUS
Programs
Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 3: The earth system from a polar perspective > WP 3.1: Circumpolar climate variability and global teleconnections at seasonal to orbital time scales
Primary Topic
Helmholtz Programs > Helmholtz Research Programs > PACES II (2014-2020) > TOPIC 3: The earth system from a polar perspective > WP 3.1: Circumpolar climate variability and global teleconnections at seasonal to orbital time scales
Peer revision
Not peer-reviewed
Publication Status
Published
Event Details
EGU General Assembly 2020, 04 May 2020 - 08 May 2020, Online.
Eprint ID
52017
DOI 10.5194/egusphere-egu2020-1203

Cite as
Hébert, R. , Herzschuh, U. and Laepple, T. (2020): Quantification of terrestrial regional climate variability from a large database of pollen-based reconstructions and implications for future projections , EGU General Assembly 2020, Online, 4 May 2020 - 8 May 2020 . doi: 10.5194/egusphere-egu2020-1203


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Geographical region
Asian Mainland
European Mainland
North America Mainland

Research Platforms
N/A

Campaigns
N/A

Funded by
info:eu-repo/grantAgreement/EC/H2020/716092


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