Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Claire Trenham"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract We present a global wind wave climate model ensemble composed of eight spectral wave model simulations forced by 3-hourly surface wind speed and daily sea ice concentration from eight different CMIP6 GCMs. The spectral wave model uses ST6 ph
Externí odkaz:
https://doaj.org/article/120ca5866c4b432baec7dfb200b8120b
Autor:
Maialen Iturbide, Jesús Fernández, José M. Gutiérrez, Anna Pirani, David Huard, Alaa Al Khourdajie, Jorge Baño-Medina, Joaquin Bedia, Ana Casanueva, Ezequiel Cimadevilla, Antonio S. Cofiño, Matteo De Felice, Javier Diez-Sierra, Markel García-Díez, James Goldie, Dimitris A. Herrera, Sixto Herrera, Rodrigo Manzanas, Josipa Milovac, Aparna Radhakrishnan, Daniel San-Martín, Alessandro Spinuso, Kristen M. Thyng, Claire Trenham, Özge Yelekçi
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Abstract The Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) has adopted the FAIR Guiding Principles. We present the Atlas chapter of Working Group I (WGI) as a test case. We describe the application of the FAIR
Externí odkaz:
https://doaj.org/article/835a9fda89454ebaa0a137fd843255b4
Publikováno v:
Geoscience Data Journal, Vol 8, Iss 1, Pp 24-33 (2021)
Abstract Wind‐wave hindcast data have many applications including climatology assessments for renewable energy projects, maritime engineering design, event‐based impact assessments, generating boundary conditions for further downscaling, amongst
Externí odkaz:
https://doaj.org/article/2d2c8e166e274e4bac0e1d5de842ec2b
Publikováno v:
Data Science Journal, Vol 16 (2017)
The National Computational Infrastructure (NCI) manages over 10 PB research data, which is co-located with the high performance computer (Raijin) and an HPC class 3000 core OpenStack cloud system (Tenjin). In support of this integrated High Performan
Externí odkaz:
https://doaj.org/article/fc41e2b200cc48c18af7f30c713daee3
Publikováno v:
Journal of Climate. 36:1605-1631
We present four 140-yr wind-wave climate simulations (1961–2100) forced with surface wind speed and sea ice concentration from two CMIP6 GCMs under two different climate scenarios: SSP1–2.6 and SSP5–8.5. A global three-grid system is implemente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30c66ae0ca3c98cc6043222d2d122d22
https://doi.org/10.1175/jcli-d-21-0929.1
https://doi.org/10.1175/jcli-d-21-0929.1
Publikováno v:
Geoscience Data Journal, Vol 8, Iss 1, Pp 24-33 (2021)
Wind‐wave hindcast data have many applications including climatology assessments for renewable energy projects, maritime engineering design, event‐based impact assessments, generating boundary conditions for further downscaling, amongst others. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5e85b362a2047facd4111a4afa6111e
https://doi.org/10.1002/gdj3.104
https://doi.org/10.1002/gdj3.104
Publikováno v:
Environmental Modelling & Software. 157:105532
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bc47aad8ca2f6409e0787e3e871cd0b
https://doi.org/10.1016/j.envsoft.2022.105532
https://doi.org/10.1016/j.envsoft.2022.105532
Autor:
Rika Kobayashi, Matt Adcock, Claire Trenham, Aidan Hotan, Coralie Siegel, Vanessa A. Moss, Glen A. Rees, Chenoa D. Tremblay
The 2020 COVID-19 pandemic forced a string of cancelled conferences, causing many organizers to shift meetings online, with mixed success. Seizing the opportunity, a group of researchers came together to rethink how the conference experience and coll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3338e2687226efb3d8b96492c48f23ff
https://hdl.handle.net/2123/24825
https://hdl.handle.net/2123/24825
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Global climate change will alter wind sea and swell waves, modifying the severity, frequency and impact of episodic coastal flooding and morphological change. Global-scale estimates of increases to coastal impacts have been typically attributed to se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::739f327477d7f91624d62d68c35a3e73
https://pubmed.ncbi.nlm.nih.gov/33893340
https://pubmed.ncbi.nlm.nih.gov/33893340
Autor:
Mercè Casas-Prat, Claire Trenham, Lorenzo Mentaschi, Paula Camus, Yang Feng, Li H. Erikson, Alvaro Semedo, Joao Morim, Mikhail Dobrynin, Mark Hemer, Tomoya Shimura, Xiaolan L. Wang, Nobuhito Mori, Ben Timmermans, Lucy Bricheno
Publikováno v:
Scientific Data
Scientific data, vol 7, iss 1
Scientific Data, Vol 7, Iss 1, Pp 1-10 (2020)
Scientific data, vol 7, iss 1
Scientific Data, Vol 7, Iss 1, Pp 1-10 (2020)
This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21st Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6bdadba90b04f0f16388b8ddeaddfa8
https://eprints.soton.ac.uk/446202/
https://eprints.soton.ac.uk/446202/