Data

Tools

Indexes

Applications

Experiments

Open Source Science

ptf_workflow

Probabilistic Tsunami Forecasting (PTF) is a procedure for providing rapid forecasts of tsunami threat following a large earthquake, treating data- and forecast-uncertainties explicitly.

https://github.com/eflows4hpc/ptf_workflow

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 6 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Probabilistic Tsunami Forecasting (PTF) is a procedure for providing rapid forecasts of tsunami threat following a large earthquake, treating data- and forecast-uncertainties explicitly.

Basic Info
  • Host: GitHub
  • Owner: eflows4hpc
  • License: other
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 405 KB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing Code of conduct Citation

README.md

The eFlows4HPC Probabilistic Tsunami Forecast (PTF) workflow

Licence: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0

PTF explicitly treats data- and forecast-uncertainties, enabling alert level definitions according to any predefined level of conservatism, which is connected to the average balance of missed-vs-false-alarms.

The PyCOMPSs PTF workflow was developed under the eFlows4HPC project (https://eflows4hpc.eu/) funded by the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 955558.

Logo of the eFlows4HPC project, funded by the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 955558, https://eflows4hpc.eu/

The Faster-Than-Real-Time tsunami simulation is performed by the Tsunami-HySEA code, developed by the EDANYA group at the University of Málaga, Spain: https://github.com/edanya-uma/TsunamiHySEA

The eFlows4HPC PTF Workflow

The figure below shows the outline of the eFlows4HPC Probabilistic Tsunami Forecast workflow. The time axis extends from the earthquake occurrence to the output of Alert Levels. Input to the system comes from time-invariant geophysical background information and from near real-time data inputs. A given earthquake alert is associated with a large number of potential scenario descriptions and, until convergence is reached, Faster-Than-Real-Time tsunami simulations are carried out to assess the outcomes of each scenario.

Outline of the eFlows4HPC Probabilistic Tsunami Forecast workflow

Operation

A typical execution using PyCOMPSs is carried out using a command of the following format:

enqueue_compss --num_nodes=5 --exec_time=120 --env_script=$PWD/env.sh \ $PWD/Code/ptf_workflow.py --seistype BS --kagan_weight 1 --mare_weight 0 \ --hours 1 --group_sims 4 --cfg from_template --event event=2003_0521_boumardes \ --parameters_file $PWD/parfiles.txt --user_pois $PWD/user_pois.txt \ --data_path /gpfs/projects/bsc44/PTF_WF/data/ \ --templates_path /gpfs/projects/bsc44/PTF_WF/templates/ --run_path $PWD/Run/

Literature

The basis Probabilistic Tsunami Forecast algorithm and results are described in:

Selva et al. (2021), "Probabilistic tsunami forecasting for early warning",
Nature Communications, v12, http://dx.doi.org/10.1038/s41467-021-25815-w

Image of the paper "Probabilistic tsunami forecasting for early warning", Selva et al. (2021), Nature Communications, http://dx.doi.org/10.1038/s41467-021-25815-w

Owner

  • Name: eFlows4HPC project
  • Login: eflows4hpc
  • Kind: organization
  • Email: eflows4hpc@bsc.es

Enabling dynamic and Intelligent workflows in the future EuroHPC ecosystem

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.0.0
title: eFlows4HPC PTF Workflow
message: >-
    Probabilistic Tsunami Forecasting (PTF) is a procedure for providing rapid forecasts of tsunami threat following a large earthquake, treating data- and forecast-uncertainties explicitly.
type: software
authors:
  - given-names: 'Louise '
    family-names: Cordrie
    email: louise.cordrie@ingv.it
    affiliation: INGV
    orcid: 'https://orcid.org/xxxx-xxxx-xxxx-xxxx'
  - given-names: 'Jorge '
    family-names: Ejarque
    email: jorge.ejarque@bsc.es
    affiliation: BSC
    orcid: 'https://orcid.org/0000-0003-4725-5097'
  - given-names: ' Carlos'
    family-names: Sánchez Linares
    email: csl@uma.es
    orcid: 'https://orcid.org/0000-0002-5493-5982'
    affiliation: Universidad de Málaga
  - given-names: Jacopo
    family-names: Selva
    email: jacopo.selva@unina.it
    affiliation: Università degli Studi di Napoli Federico II 
    orcid: 'https://orcid.org/0000-0001-6263-6934'
  - given-names: Jorge
    family-names: Macías Sánchez
    email: jmacias@uma.es
    affiliation: Universidad de Málaga
    orcid: 'https://orcid.org/0000-0002-3010-8050'
  - given-names: 'Steven J. '
    family-names: Gibbons
    email: steven.gibbons@ngi.no
    affiliation: NGI
    orcid: 'https://orcid.org/0000-0002-7822-0244'
  - given-names: 'Fabrizio '
    family-names: Bernardi
    email: roberto.tonini@ingv.it
    affiliation: INGV
    orcid: 'https://orcid.org/0000-0002-0414-8411'
  - given-names: 'Manuel Jesús '
    family-names: Castro Díaz
    email: mjcastro@uma.es
    orcid: 'https://orcid.org/0000-0003-3164-7715'
    affiliation: UMA
  - given-names: 'Roberto '
    family-names: Tonini
    email: roberto.tonini@ingv.it
    affiliation: INGV
    orcid: 'https://orcid.org/0000-0001-7617-7206'
  - given-names: 'Rosa '
    family-names: M Badia
    email: rosa.m.badia@bsc.es
    affiliation: BSC
    orcid: 'https://orcid.org/0000-0003-2941-5499'
  - given-names: 'Sonia '
    family-names: Scardigno
    email: sonia.scardigno@cmcc.it
    affiliation: CMCC
  - given-names: 'Stefano '
    family-names: Lorito
    email: stefano.lorito@ingv.it
    affiliation: INGV
    orcid: 'https://orcid.org/0000-0002-1458-2131'
  - given-names: 'Fabrizio '
    family-names: Romano
    email: fabrizio.romano@ingv.it
    affiliation: INGV
    orcid: 'https://orcid.org/0000-0003-2725-3596'
  - given-names: 'Finn '
    family-names: Løvholt
    email: Finn.Lovholt@ngi.no
    affiliation: NGI
    orcid: 'https://orcid.org/0000-0003-1019-7321'
  - given-names: 'Manuela '
    family-names: Volpe
    email: manuela.volpe@ingv.it
    affiliation: INGV
    orcid: 'https://orcid.org/0000-0003-4551-3339'
  - given-names: 'Donatello '
    family-names: Elia
    email: donatello.elia@cmcc.it
    affiliation: CMCC
    orcid: 'https://orcid.org/0000-0002-9206-2385'
  - given-names: 'Alessandro '
    family-names: D'Anca
    email: alessandro.danca@cmcc.it
    affiliation: CMCC
    orcid: 'https://orcid.org/0000-0002-0372-2530'
  - given-names: 'Marc '
    family-names: de la Asunción
    email: marcah@uma.es
    affiliation: Universidad de Málaga
    orcid: 'https://orcid.org/0000-0003-3130-1335'
  - given-names: 'Valentina '
    family-names: Magni
    email: valentina.magni@ngi.no
    affiliation: NGI
    orcid: 'https://orcid.org/0000-0003-2882-1954'

identifiers:
  - type: doi
    value: Not yet applicable    
repository-code: 'https://github.com/eflows4hpc/ptf_workflow'
url: 'https://github.com/eflows4hpc/ptf_workflow/'
abstract: >-
    PTF
keywords:
  - tsunami modeling
license: CC BY-NC-ND 4.0
version: 1.0.0

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1