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pro vyhledávání: '"Boers, N."'
Akademický článek
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Autor:
Smith T; Institute of Geosciences, Universität Potsdam, Potsdam, Germany. tasmith@uni-potsdam.de., Boers N; Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany.; Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK.
Publikováno v:
Nature ecology & evolution [Nat Ecol Evol] 2024 Jun; Vol. 8 (6), pp. 1199.
Autor:
Flores BM; Graduate Program in Ecology, Federal University of Santa Catarina, Florianopolis, Brazil. mflores.bernardo@gmail.com., Montoya E; Geosciences Barcelona, Spanish National Research Council, Barcelona, Spain., Sakschewski B; Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany., Nascimento N; Institute of Advanced Studies, University of São Paulo, São Paulo, Brazil., Staal A; Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, The Netherlands., Betts RA; Met Office Hadley Centre, Exeter, UK.; Global Systems Institute, University of Exeter, Exeter, UK., Levis C; Graduate Program in Ecology, Federal University of Santa Catarina, Florianopolis, Brazil., Lapola DM; Center for Meteorological and Climatic Research Applied to Agriculture, University of Campinas, Campinas, Brazil., Esquível-Muelbert A; School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.; Birmingham Institute of Forest Research, University of Birmingham, Birmingham, UK., Jakovac C; Department of Plant Sciences, Federal University of Santa Catarina, Florianopolis, Brazil., Nobre CA; Institute of Advanced Studies, University of São Paulo, São Paulo, Brazil., Oliveira RS; Department of Plant Biology, University of Campinas, Campinas, Brazil., Borma LS; Division of Impacts, Adaptation and Vulnerabilities (DIIAV), National Institute for Space Research, São José dos Campos, Brazil., Nian D; Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany., Boers N; Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany.; Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany., Hecht SB; Luskin School for Public Affairs and Institute of the Environment, University of California, Los Angeles, CA, USA., Ter Steege H; Naturalis Biodiversity Center, Leiden, The Netherlands.; Quantitative Biodiversity Dynamics, Utrecht University, Utrecht, The Netherlands., Arieira J; Science Panel for the Amazon (SPA), São José dos Campos, Brazil., Lucas IL; Sustainable Development Solutions Network, New York, NY, USA., Berenguer E; Environmental Change Institute, University of Oxford, Oxford, UK., Marengo JA; Centro Nacional de Monitoramento e Alerta de Desastres Naturais, São José dos Campos, Brazil.; Graduate Program in Natural Disasters, UNESP/CEMADEN, São José dos Campos, Brazil.; Graduate School of International Studies, Korea University, Seoul, Korea., Gatti LV; Division of Impacts, Adaptation and Vulnerabilities (DIIAV), National Institute for Space Research, São José dos Campos, Brazil., Mattos CRC; Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA., Hirota M; Graduate Program in Ecology, Federal University of Santa Catarina, Florianopolis, Brazil. marinahirota@gmail.com.; Department of Plant Biology, University of Campinas, Campinas, Brazil. marinahirota@gmail.com.; Group IpES, Department of Physics, Federal University of Santa Catarina, Florianopolis, Brazil. marinahirota@gmail.com.
Publikováno v:
Nature [Nature] 2024 Feb; Vol. 626 (7999), pp. 555-564. Date of Electronic Publication: 2024 Feb 14.
Autor:
Nian D; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany. Electronic address: danian@pik-potsdam.de., Bathiany S; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; Earth System Modelling, School of Engineering and Design, Technical University Munich., Munich 80333, Germany., Sakschewski B; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany., Drüke M; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; Deutscher Wetterdienst, Hydrometeorologie, Frankfurter Str., 135, 63067 Offenbach, Germany., Blaschke L; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; Earth System Modelling, School of Engineering and Design, Technical University Munich., Munich 80333, Germany., Ben-Yami M; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; Earth System Modelling, School of Engineering and Design, Technical University Munich., Munich 80333, Germany., von Bloh W; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany., Boers N; Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany; Earth System Modelling, School of Engineering and Design, Technical University Munich., Munich 80333, Germany; Department of Mathematics and Global Systems Institute, University of Exeter, Exeter EX4 4QF, UK.
Publikováno v:
The Science of the total environment [Sci Total Environ] 2024 Oct 15; Vol. 947, pp. 174378. Date of Electronic Publication: 2024 Jul 01.
Autor:
Smith T; Institute of Geosciences, Universität Potsdam, Potsdam, Germany. tasmith@uni-potsdam.de., Boers N; Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany.; Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK.
Publikováno v:
Nature ecology & evolution [Nat Ecol Evol] 2023 Nov; Vol. 7 (11), pp. 1799-1808. Date of Electronic Publication: 2023 Sep 14.
Autor:
Bochow N; Department of Mathematics and Statistics, UiT - The Arctic University of Norway, Tromsø, Norway. nils.bochow@uit.no.; Physics of Ice, Climate and Earth, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark. nils.bochow@uit.no.; Potsdam Institute for Climate Impact Research, Potsdam, Germany. nils.bochow@uit.no., Poltronieri A; Department of Mathematics and Statistics, UiT - The Arctic University of Norway, Tromsø, Norway., Robinson A; Potsdam Institute for Climate Impact Research, Potsdam, Germany.; Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Potsdam, Germany.; Department of Earth Science and Astrophysics, Complutense University of Madrid, Madrid, Spain., Montoya M; Department of Earth Science and Astrophysics, Complutense University of Madrid, Madrid, Spain.; Instituto de Geociencias, CSIC-UCM, Madrid, Spain., Rypdal M; Department of Mathematics and Statistics, UiT - The Arctic University of Norway, Tromsø, Norway., Boers N; Potsdam Institute for Climate Impact Research, Potsdam, Germany.; Earth System Modelling, School of Engineering & Design, Technical University of Munich, Munich, Germany.; Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK.
Publikováno v:
Nature [Nature] 2023 Oct; Vol. 622 (7983), pp. 528-536. Date of Electronic Publication: 2023 Oct 18.
Autor:
Ben-Yami M; Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany., Morr A; Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany., Bathiany S; Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany., Boers N; Earth System Modelling, School of Engineering and Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany.; Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK.
Publikováno v:
Science advances [Sci Adv] 2024 Aug 02; Vol. 10 (31), pp. eadl4841. Date of Electronic Publication: 2024 Aug 02.
Autor:
Lenton TM; Global Systems Institute, University of Exeter, Exeter, UK. t.m.lenton@exeter.ac.uk., Abrams JF; Global Systems Institute, University of Exeter, Exeter, UK., Bartsch A; b.geos GmbH, Industriestrasse 1A, 2100, Korneuburg, Austria.; Austrian Polar Research Institute, Vienna, Austria., Bathiany S; Earth System Modelling, School of Engineering & Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany., Boulton CA; Global Systems Institute, University of Exeter, Exeter, UK., Buxton JE; Global Systems Institute, University of Exeter, Exeter, UK., Conversi A; National Research Council of Italy, ISMAR-Lerici, Forte Santa Teresa, Loc. Pozzuolo, 19032, Lerici (SP), Italy., Cunliffe AM; Global Systems Institute, University of Exeter, Exeter, UK., Hebden S; Future Earth Secretariat, Stockholm, Sweden.; European Space Agency, ECSAT, Harwell, Oxfordshire, UK., Lavergne T; Norwegian Meteorological Institute, Oslo, Norway., Poulter B; NASA Goddard Space Flight Centre, Greenbelt, MD, 20771, USA., Shepherd A; Department of Geography and Environmental Sciences, Northumbria University, Newcastle, UK., Smith T; Institute of Geosciences, University of Potsdam, Potsdam, Germany., Swingedouw D; University of Bordeaux, CNRS, Bordeaux INP, EPOC, UMR 5805, 33600, Pessac, France., Winkelmann R; Potsdam Institute for Climate Impact Research, Potsdam, Germany., Boers N; Global Systems Institute, University of Exeter, Exeter, UK.; Earth System Modelling, School of Engineering & Design, Technical University of Munich, Munich, Germany.; Potsdam Institute for Climate Impact Research, Potsdam, Germany.
Publikováno v:
Nature communications [Nat Commun] 2024 Mar 01; Vol. 15 (1), pp. 1917. Date of Electronic Publication: 2024 Mar 01.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Observational datasets are increasingly used to detect critical slowing down (CSD) as a measure of stability or resilience changes in key Earth system components. However, most observational datasets have inherent, often non-stationary missing-data-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ac1c30fee7eeaf7e6d21bda95a7e822
