An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience

Sánchez‐Gallegos, Dante D.; Luccio, Diana Di; Kosta, Sokol; Gonzalez-Compeán, J. L.; Montella, Raffaele

doi:10.1016/j.future.2021.03.017

Cited by 21 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first implementation of the transversal model was performed over the DagOnStar engine by using the dependency management schema (known as DagOnStar workflow:// schema [42]). This schema manages the data used by tasks of the stages running in a PS, either locally or on a remote node.…”

Section: A Prototype Based On the Transversal Processing Modelmentioning

confidence: 99%

A novel transversal processing model to build environmental big data services in the cloud

Barron-Lugo

Gonzalez-Compeán

Carretero

et al. 2021

Environmental Modelling & Software

Self Cite

View full text Add to dashboard Cite

Section: A Prototype Based On the Transversal Processing Modelmentioning

confidence: 99%

A novel transversal processing model to build environmental big data services in the cloud

Barron-Lugo

Gonzalez-Compeán

Carretero

et al. 2021

Environmental Modelling & Software

Self Cite

View full text Add to dashboard Cite

“…To characterize the meteo-marine scenario during the December 2020 storm event, an high-spatial-resolution model chain (Sánchez-Gallegos et al, 2021;Di Luccio et al, 2020b;Sánchez-Gallegos et al, 2019b, a) was configured using the workflow orchestrator DagOnStar (Montella et al, 2018) to manage and run the community numerical models Weather Research and Forecasting (WRF) (Skamarock et al, 2001;Powers et al, 2017) and Wavewatch III (WW3) (Tolman, 2009).…”

Section: Atmospheric-marine Numerical Workflowmentioning

confidence: 99%

Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (southern Italy)

Mattei

Luccio

Benassai

et al. 2021

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

Abstract. Destructive marine storms bring large waves and unusually high surges of water to coastal areas, resulting in significant damages and economic loss. This study analyses the characteristics of a destructive marine storm on the strongly inhabited coastal area of Gulf of Naples, along the Italian coasts of the Tyrrhenian Sea. This is highly vulnerable to marine storms due to the accelerated relative sea level rise trend and the increased anthropogenic impact on the coastal area. The marine storm, which occurred on 28 December 2020, was analyzed through an unstructured wind–wave coupled model that takes into account the main marine weather components of the coastal setup. The model, validated with in situ data, allowed the establishment of threshold values for the most significant marine and atmospheric parameters (i.e., wind intensity and duration) beyond which an event can produce destructive effects. Finally, a first assessment of the return period of this event was evaluated using local press reports on damage to urban furniture and port infrastructures.

show abstract

“…In order to characterize the meteo-marine scenario during the 2020-December storm event, an high spatial resolution model chain (Sánchez-Gallegos et al, 2021;Di Luccio et al, 2020b;Sánchez-Gallegos et al, 2019b, a) was configured using the workflow orchestrator DagOnStar (Montella et al, 2018) to manage and run the community numerical models Weather Research and Forecasting (WRF) (Skamarock et al, 2001;Powers et al, 2017) and Wavewatch III (WW3) (? ).…”

Section: Atmospheric-marine Numerical Workflowmentioning

confidence: 99%

Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (Southern Italy)

Mattei

Luccio

Benassai³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. Destructive marine storm bring large waves and unusually high surges of water to coastal areas, resulting in significant damages and economic loss. In this study it is examined the characteristics of a destructive marine storm on the strongly inhabited coastal area of Naples Gulf, along the Italian coasts of the Tyrrhenian Sea, which is highly vulnerable to marine storms due to the accelerated relative sea level rise trend and the increased anthropogenic impact on the coastal area. The marine storm, occurred on the 28th December 2020, was analysed through an unstructured wind-wave coupled model that takes into account the main weather-marine components of the coastal setup. The model, validated with in-situ data allowed to establish threshold values for the most significant marine and atmospheric parameters (i.e., wind intensity and duration) beyond which an event can produce destructive effects. Finally, a first assessment of the return period of this event was evaluated using local press reports on damage on urban furniture and port infrastructures.

show abstract

An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience

Cited by 21 publications

References 34 publications

A novel transversal processing model to build environmental big data services in the cloud

A novel transversal processing model to build environmental big data services in the cloud

Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (southern Italy)

Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (Southern Italy)

Contact Info

Product

Resources

About