Large-scale climate simulations harnessing clusters, grid and cloud infrastructures

Fernández-Quiruelas, V.; Blanco, C.; Cofiño, Antonio S.; Fernández, Jesús Fernández

doi:10.1016/j.future.2015.04.009

Cited by 8 publications

(4 citation statements)

References 42 publications

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“…kilometer-scale simulation) or for a faster accomplishment of lower resolution runs, which do not scale efficiently to a large number of processors. Modelling workflow managers, such as WRF4G (Fernández-Quiruelas et al, 2015) -used in our simulations-, can help in the extra design, job submission and monitoring burden of this approach.…”

Section: Discussionmentioning

confidence: 99%

Spin-up time and internal variability analysis for overlapping time slices in a regional climate model

Gullón

Milovac

Dı́ez

et al. 2022

Preprint

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Long-term regional climate simulations are computationally very 8 costly. One way to improve their computational efficiency is to split them into 9 overlapping time slices, which can then be run in parallel. Although this proce10 dure reduces the cost, sufficient spin-up must be left at the start of each slice. 11 In any case, discontinuities will occur due to internal variability where two dif12 ferent slices join. In this study, we explore the relative role of spin-up time and 13 internal variability in the discontinuities of overlapping time slice simulations 14 and their effect on the simulated climate. This analysis has implications also 15 for non-overlapping time slices, commonly used in very high resolution climate 16 modelling, where long transient simulations cannot be afforded. We show that 17 discontinuities are negligible for surface and upper-air variables, but they are 18 noticeable in variables with long response times, such as soil moisture or snow 19 depth. For these variables, differences between the slices are mainly attributed 20 to internal variability, but also to insufficient spin-up time, depending on the 21 region. In general, the results show that the overlapping time slice approach 22 is valid to accomplish long term regional climate simulations.

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Section: Discussionmentioning

confidence: 99%

Spin-up time and internal variability analysis for overlapping time slices in a regional climate model

Gullón

Milovac

Dı́ez

et al. 2022

Preprint

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show abstract

“…It involves developing scripts that fit the new infrastructure characteristics (batch system, parallel environment, data repository, ...). Furthermore, if the user wants to use several computing infrastructures at the same time, new challenges have to be faced (Fernandez-Quiruelas et al, 2015).…”

Section: Understanding Wrf4g: New Conceptsmentioning

confidence: 99%

“…In a recent work, Fernández-Quiruelas et al (2011) describe the challenges and limitations posed by climate application workflows on distributed computing infrastructures. Fernandez-Quiruelas et al (2015) provide specific details of the implementation of WRF4G. Therefore, in this work, we focus on the user interface and the new concepts required to design different experiments in a flexible way.…”

mentioning

confidence: 99%

“…Therefore, in this work, we focus on the user interface and the new concepts required to design different experiments in a flexible way. The reader interested in a detailed description of the computational implementation, including the ability of WRF4G to distribute the load across distributed computer infrastructures, is referred to Fernandez-Quiruelas et al (2015). WRF4G is an open-source and publicly available software that can be downloaded from the Santander Meteorology Group website 5 .…”

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confidence: 99%

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WRF4G: WRF experiment management made simple

Fernández-Quiruelas

Fernández

Cofiño

et al. 2015

Preprint

Self Cite

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Abstract. This work presents a framework, WRF4G, to manage the experiment workflow of the Weather Research and Forecasting (WRF) modelling system. WRF4G provides a flexible design, execution and monitoring for a general class of scientific experiments. It has been designed with the aim of facilitating the management and reproducibility of complex experiments. Furthermore, the concepts behind the design of this framework can be straightforwardly extended to other models. We describe the user interface and the new concepts required to design parameter-sweep, hindcast and climate simulation experiments. A number of examples are provided, based on the design used for existing (published) WRF experiments. This software is open-source and publicly available http://www.meteo.unican.es/software/wrf4g).

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Spin-up time and internal variability analysis for overlapping time slices in a regional climate model

et al. 2022

Self Cite

View full text Add to dashboard Cite

Long-term regional climate simulations are computationally very costly. One way to improve their computational efficiency is to split them into overlapping time slices, which can then be run in parallel. Although this procedure reduces the cost, sufficient spin-up must be left at the start of each slice. In any case, discontinuities will occur due to internal variability where two different slices join. In this study, we explore the relative role of spin-up time and internal variability in the discontinuities of overlapping time slice simulations and their effect on the simulated climate. This analysis has implications also for non-overlapping time slices, commonly used in very high resolution climate modelling, where long transient simulations cannot be afforded. We show that discontinuities are negligible for surface and upper-air variables, but they are noticeable in variables with long response times, such as soil moisture or snow depth. For these variables, differences between the slices are mainly attributed to internal variability, but also to insufficient spin-up time, depending on the region. In general, the results show that the overlapping time slice approach is valid to accomplish long term regional climate simulations.

show abstract

Large-scale climate simulations harnessing clusters, grid and cloud infrastructures

Cited by 8 publications

References 42 publications

Spin-up time and internal variability analysis for overlapping time slices in a regional climate model

Spin-up time and internal variability analysis for overlapping time slices in a regional climate model

WRF4G: WRF experiment management made simple

Spin-up time and internal variability analysis for overlapping time slices in a regional climate model

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