RT Journal Article
T1 Cloud computing for climate modelling: evaluation, challenges and benefits
A1 Montes , Diego
A1 Añel Cabanelas, Juan Antonio
A1 Wallom , David C. H.
A1 Uhe , Peter
A1 Caderno, Pablo V.
A1 Pena, Tomás F.
K1 2502 Climatología
K1 1203.04 Inteligencia Artificial
K1 1203.17 Informática
AB Cloud computing is a mature technology that has already shown benefits for a wide range of academic research domains that, in turn, utilize a wide range of application design models. In this paper, we discuss the use of cloud computing as a tool to improve the range of resources available for climate science, presenting the evaluation of two different climate models. Each was customized in a different way to run in public cloud computing environments (hereafter cloud computing) provided by three different public vendors: Amazon, Google and Microsoft. The adaptations and procedures necessary to run the models in these environments are described. The computational performance and cost of each model within this new type of environment are discussed, and an assessment is given in qualitative terms. Finally, we discuss how cloud computing can be used for geoscientific modelling, including issues related to the allocation of resources by funding bodies. We also discuss problems related to computing security, reliability and scientific reproducibility.
PB Computers
SN 2073431X
YR 2020
FD 2020-06-22
LK http://hdl.handle.net/11093/1750
UL http://hdl.handle.net/11093/1750
LA eng
NO Computers, 9(2): 52 (2020)
NO European Regional Development Fund | Ref. ED431C 2017/64-GRC
DS Investigo
RD 20-sep-2024