Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maria Moreno de Castro"'
Autor:
Sophie Morellon, Marco Kulüke, Charlotte L Pascoe, Stephan Kindermann, Guillaume Levavasseur, Fabian Wachsmann, Regina Kwee-Hinzmann, Maria Moreno de Castro, Sandro Fiore, Paola Nassisi, Sylvie Joussaume, Martin Juckes
Tired of downloading tons of model results? Is your internet connection flakey? Are you about to overload your computer’s memory with the constant increase of data volume and you need more computing resources? You can request free of charge computi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::088bd2ded28d95bd230ea58ed7abda88
https://doi.org/10.5194/egusphere-egu21-2513
https://doi.org/10.5194/egusphere-egu21-2513
We will present a new service designed to assist the users of model data in running their analyses in world-class supercomputers. The increase of data volumes and model complexities can be challenging for data users with limited access to high perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::485bc1fba4dda669f175edcedc9aa63a
Autor:
Ag Stephens, Martin Juckes, Maria Moreno de Castro, Sophie Morellon, Sandro Fiore, Sylvie Joussaume, Guillaume Levavasseur, Karsten Peters, Stephan Kindermann, Paola Nassisi
Earth System observational and model data volumes are constantly increasing and it can be challenging to discover, download, and analyze data if scientists do not have the required computing and storage resources at hand. This is especially the case
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94db29295b64d54af6f5aaacc8eb9297
https://doi.org/10.5194/egusphere-egu2020-19340
https://doi.org/10.5194/egusphere-egu2020-19340
Autor:
Maria Moreno de Castro
The presence of automated decision making continuously increases in today's society. Algorithms based in machine and deep learning decide how much we pay for insurance, translate our thoughts to speech, and shape our consumption of goods (via e-marke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e453175f0ea99a40010f74ef0359e7
https://doi.org/10.5194/egusphere-egu2020-21281
https://doi.org/10.5194/egusphere-egu2020-21281
Publikováno v:
Moreno de Castro, M.; Schartau, M.; Wirtz, K.: Potential sources of variability in mesocosm experiments on the response of phytoplankton to ocean acidification. In: Biogeosciences. Vol. 14 (2017) 7, 1883-1901. (DOI: 10.5194/bg-14-1883-2017)
Biogeosciences (BG), 14 (7). pp. 1883-1901.
Biogeosciences, Vol 14, Iss 7, Pp 1883-1901 (2017)
Biogeosciences (BG), 14 (7). pp. 1883-1901.
Biogeosciences, Vol 14, Iss 7, Pp 1883-1901 (2017)
Mesocosm experiments on phytoplankton dynamics under high CO2 concentrations mimic the response of marine primary producers to future ocean acidification. However, potential acidification effects can be hindered by the high standard deviation typical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24687519fb8ce30a64709a28a5eb08b7
https://www.biogeosciences.net/14/1883/2017/
https://www.biogeosciences.net/14/1883/2017/
Mesocosm experiments on phytoplankton dynamics under high CO2 concentrations mimic the response of marine primary producers to future ocean acidification. However, potential acidification effects can be hindered by the high standard deviation typical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ec554b094d65cba43ad04cff74beb69
https://doi.org/10.5194/bg-2016-83
https://doi.org/10.5194/bg-2016-83