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Springe zu: Zeitschriftenartikel
Anzahl der Publikationen: 6
Zeitschriftenartikel
Marshall, Lauren R.; Maters, Elena C.; Schmidt, Anja; Timmreck, Claudia; Robock, Alan und Toohey, Matthew
(2022):
Volcanic effects on climate: recent advances and future avenues.
In: Bulletin of Volcanology, Bd. 84, Nr. 5, 54
Aubry, Thomas J.; Farquharson, Jamie I.; Rowell, Colin R.; Watt, Sebastian F. L.; Pinel, Virginie; Beckett, Frances; Fasullo, John; Hopcroft, Peter O.; Pyle, David M.; Schmidt, Anja und Sykes, John Staunton
(2022):
Impact of climate change on volcanic processes: current understanding and future challenges.
In: Bulletin of Volcanology, Bd. 84, Nr. 6, 58
Chen, Ying; Haywood, Jim; Wang, Yu; Malavelle, Florent; Jordan, George; Partridge, Daniel; Fieldsend, Jonathan; De Leeuw, Johannes; Schmidt, Anja; Cho, Nayeong; Oreopoulos, Lazaros; Platnick, Steven; Grosvenor, Daniel; Field, Paul und Lohmann, Ulrike
(2022):
Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover.
In: Nature Geoscience, Bd. 15, Nr. 8: S. 609-614
Schmidt, Anja und Black, Benjamin A.
(2022):
Reckoning with the Rocky Relationship Between Eruption Size and Climate Response: Toward a Volcano-Climate Index.
In: Annual Review of Earth and Planetary Sciences, Bd. 50: S. 627-661
Zanchettin, Davide; Timmreck, Claudia; Khodri, Myriam; Schmidt, Anja; Toohey, Matthew; Abe, Manabu; Bekki, Slimane; Cole, Jason; Fang, Shih-Wei; Feng, Wuhu; Hegerl, Gabriele; Johnson, Ben; Lebas, Nicolas; LeGrande, Allegra N.; Mann, Graham W.; Marshall, Lauren; Rieger, Landon; Robock, Alan; Rubinetti, Sara; Tsigaridis, Kostas und Weierbach, Helen
(2022):
Effects of forcing differences and initial conditions on inter-model agreement in the VolMIP volc-pinatubo-full experiment.
In: Geoscientific Model Development, Bd. 15, Nr. 5: S. 2265-2292
Bertram, Christof A. 
ORCID: https://orcid.org/0000-0002-2402-9997; Aubreville, Marc ORCID: https://orcid.org/0000-0002-5294-5247; Donovan, Taryn A. ORCID: https://orcid.org/0000-0001-5740-9550; Bartel, Alexander ORCID: https://orcid.org/0000-0002-1280-6138; Wilm, Frauke; Marzahl, Christian; Assenmacher, Charles-Antoine; Becker, Kathrin ORCID: https://orcid.org/0000-0002-0922-8189; Bennett, Mark; Corner, Sarah; Cossic, Brieuc; Denk, Daniela; Dettwiler, Martina ORCID: https://orcid.org/0000-0001-9404-7122; Gonzalez, Beatriz Garcia; Gurtner, Corinne; Haverkamp, Ann-Kathrin; Heier, Annabelle ORCID: https://orcid.org/0000-0003-0915-4236; Lehmbecker, Annika; Merz, Sophie; Noland, Erica L.; Plog, Stephanie; Schmidt, Anja; Sebastian, Franziska; Sledge, Dodd G.; Smedley, Rebecca C. ORCID: https://orcid.org/0000-0001-5704-2664; Tecilla, Marco; Thaiwong, Tuddow; Fuchs-Baumgartinger, Andrea; Meuten, Donald J.; Breininger, Katharina; Kiupel, Matti; Maier, Andreas und Klopfleisch, Robert ORCID: https://orcid.org/0000-0002-6308-0568
(2021):
Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.
In: Veterinary Pathology, Bd. 59, Nr. 2, 3009858211067478: S. 211-226
[EPUB, 3MB]
ORCID: https://orcid.org/0000-0002-2402-9997; Aubreville, Marc ORCID: https://orcid.org/0000-0002-5294-5247; Donovan, Taryn A. ORCID: https://orcid.org/0000-0001-5740-9550; Bartel, Alexander ORCID: https://orcid.org/0000-0002-1280-6138; Wilm, Frauke; Marzahl, Christian; Assenmacher, Charles-Antoine; Becker, Kathrin ORCID: https://orcid.org/0000-0002-0922-8189; Bennett, Mark; Corner, Sarah; Cossic, Brieuc; Denk, Daniela; Dettwiler, Martina ORCID: https://orcid.org/0000-0001-9404-7122; Gonzalez, Beatriz Garcia; Gurtner, Corinne; Haverkamp, Ann-Kathrin; Heier, Annabelle ORCID: https://orcid.org/0000-0003-0915-4236; Lehmbecker, Annika; Merz, Sophie; Noland, Erica L.; Plog, Stephanie; Schmidt, Anja; Sebastian, Franziska; Sledge, Dodd G.; Smedley, Rebecca C. ORCID: https://orcid.org/0000-0001-5704-2664; Tecilla, Marco; Thaiwong, Tuddow; Fuchs-Baumgartinger, Andrea; Meuten, Donald J.; Breininger, Katharina; Kiupel, Matti; Maier, Andreas und Klopfleisch, Robert ORCID: https://orcid.org/0000-0002-6308-0568
(2021):
Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.
In: Veterinary Pathology, Bd. 59, Nr. 2, 3009858211067478: S. 211-226
[EPUB, 3MB]