Výsledky vyhledávání - "James, Fulton"

Akademický článek

RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

Autor: Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)

Abstract Applications such as disaster management enormously benefit from rapid availability of satellite observations. Traditionally, data analysis is performed on the ground after being transferred—downlinked—to a ground station. Constraints on

Externí odkaz: https://doaj.org/article/7d0606c81432401cae649e7b2b48adc9

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Akademický článek

Initial social network analysis of producers working towards sustainability suggests weak ties and potential fragmentation

Autor: Kathryn A. Stofer, James Fulton, Heather Nesbitt, Anna Prizzia, Karen A. Garrett, Jhon Jarome Rosario

Publikováno v: Advancements in Agricultural Development, Vol 3, Iss 1 (2022)

For farmers to adopt and maintain sustainable farming practices, they must have the resources and network to succeed with this work and must realize a positive impact on their business model. As a food system is ultimately made up of the people, orga

Externí odkaz: https://doaj.org/article/e67897c57a8f4932ad5f058873958f8a

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Bias Correcting Climate Model Simulations Using Unpaired Image-to-Image Translation Networks

Autor: D. James Fulton, Ben J. Clarke, Gabriele C. Hegerl

Publikováno v: Fulton, J, Clarke, B J & Hegerl, G 2023, ' Bias correcting climate model simulations using unpaired image-to-image translation networks ', Artificial Intelligence for the Earth Systems . https://doi.org/10.1175/AIES-D-22-0031.1

We assess the suitability of unpaired image-to-image translation networks for bias correcting data simulated by global atmospheric circulation models. We use the Unsupervised Image-to-Image Translation (UNIT) neural network architecture to map betwee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c835029d1edaba772f8be5331906c90
https://doi.org/10.1175/aies-d-22-0031.1

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Correcting biases in climate simulations using unsupervised image-to-image-translation networks

Autor: James Fulton, Ben Clarke

Global circulation models (GCMs) form the basis of a vast portion of earth system research and inform our climate policy. However, our climate system is complex and connected across scales. To simulate it, we must use parameterisations. These paramet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c48ea7d1fe92fe01b6df890e9eefe4b5
https://doi.org/10.5194/egusphere-egu22-2988

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Glass from the 11th–13th century medieval castle of San Giuliano (Lazio Province, Central Italy)

Autor: Colleen Zori, James Fulton, Peter Tropper, Davide Zori

Publikováno v: Journal of Archaeological Science: Reports. 47:103731

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3318f4acf09d4d402ca99f35796ca85f
https://doi.org/10.1016/j.jasrep.2022.103731

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Testing methods of pattern extraction for climate data using synthetic modes

Autor: Gabriele C. Hegerl, D. James Fulton

Publikováno v: Fulton, J & Hegerl, G 2021, ' Testing methods of pattern extraction for climate data using synthetic modes ', Journal of Climate, pp. 7645–7660 . https://doi.org/10.1175/JCLI-D-20-0871.1
Journal of Climate

In this paper we develop a method to quantify the accuracy of different pattern extraction techniques for the additive space–time modes often assumed to be present in climate data. It has previously been shown that the standard technique of princip

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce8a81440930727483ddd5d3b2af8d2e
https://www.pure.ed.ac.uk/ws/files/228131483/467._Fulton._Hegerl..pdf

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