Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"

This dataset provides the key configuration files and scripts required to reproduce the numerical weather simulations presented in our study “High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF” (https://doi.org/10.5194/nhess-2024-177 ). Th...

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Detalles Bibliográficos
Autor: CARRIÓ CARRIÓ, DIEGO SAÚL
Tipo de recurso: conjunto de datos
Fecha de publicación:2025
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::39312afbcaba7d82ef4948b36f2fee14
Acceso en línea:https://doi.org/10.34810/DATA2515
Access Level:acceso abierto
Palabra clave:Earth and Environmental Sciences
Physics
Data Assimilation, Numerical Weather Forecasting, Ensemble Kalman Filter, 3D-Var, Medicane
id ES_f2c0de4f6cb2f03f85755409c4e02019
oai_identifier_str oai:dnet:cora.rdr____::39312afbcaba7d82ef4948b36f2fee14
network_acronym_str ES
network_name_str España
repository_id_str
spelling Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"CARRIÓ CARRIÓ, DIEGO SAÚLEarth and Environmental SciencesPhysicsData Assimilation, Numerical Weather Forecasting, Ensemble Kalman Filter, 3D-Var, MedicaneThis dataset provides the key configuration files and scripts required to reproduce the numerical weather simulations presented in our study “High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF” (https://doi.org/10.5194/nhess-2024-177 ). The experiments were conducted using the Weather Research and Forecasting (WRF) model v4.0. Included in this dataset are: Namelist files (namelist.wps, namelist.input) that define the model setup and allow replication of the simulation environment used in the paper. Python scripts used to generate the figures presented in the publication, enabling users to reproduce the main visual results directly. Due to storage limitations, the full model outputs from the numerical simulations (several terabytes in size) cannot be hosted in this repository. Instead, we provide the essential configuration files and analysis scripts so that researchers can rerun the simulations on their own computational resources and replicate both the workflow and figures described in the paper.CORA.Repositori de Dades de RecercaCarrió, Diego2025info:eu-repo/semantics/datasethttps://doi.org/10.34810/DATA2515reponame:CORA.Repositori de Dades de Recercainstname:Consorci de Serveis Universitaris de Catalunya (CSUC)Inglésinfo:eu-repo/semantics/openAccessCC BY 4.0oai:dnet:cora.rdr____::39312afbcaba7d82ef4948b36f2fee142026-06-17T12:20:17Z
dc.title.none.fl_str_mv Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
title Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
spellingShingle Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
CARRIÓ CARRIÓ, DIEGO SAÚL
Earth and Environmental Sciences
Physics
Data Assimilation, Numerical Weather Forecasting, Ensemble Kalman Filter, 3D-Var, Medicane
title_short Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
title_full Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
title_fullStr Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
title_full_unstemmed Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
title_sort Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
dc.creator.none.fl_str_mv CARRIÓ CARRIÓ, DIEGO SAÚL
author CARRIÓ CARRIÓ, DIEGO SAÚL
author_facet CARRIÓ CARRIÓ, DIEGO SAÚL
author_role author
dc.contributor.none.fl_str_mv Carrió, Diego
dc.subject.none.fl_str_mv Earth and Environmental Sciences
Physics
Data Assimilation, Numerical Weather Forecasting, Ensemble Kalman Filter, 3D-Var, Medicane
topic Earth and Environmental Sciences
Physics
Data Assimilation, Numerical Weather Forecasting, Ensemble Kalman Filter, 3D-Var, Medicane
description This dataset provides the key configuration files and scripts required to reproduce the numerical weather simulations presented in our study “High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF” (https://doi.org/10.5194/nhess-2024-177 ). The experiments were conducted using the Weather Research and Forecasting (WRF) model v4.0. Included in this dataset are: Namelist files (namelist.wps, namelist.input) that define the model setup and allow replication of the simulation environment used in the paper. Python scripts used to generate the figures presented in the publication, enabling users to reproduce the main visual results directly. Due to storage limitations, the full model outputs from the numerical simulations (several terabytes in size) cannot be hosted in this repository. Instead, we provide the essential configuration files and analysis scripts so that researchers can rerun the simulations on their own computational resources and replicate both the workflow and figures described in the paper.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
format dataset
dc.identifier.none.fl_str_mv https://doi.org/10.34810/DATA2515
url https://doi.org/10.34810/DATA2515
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
CC BY 4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv CC BY 4.0
dc.publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
publisher.none.fl_str_mv CORA.Repositori de Dades de Recerca
dc.source.none.fl_str_mv reponame:CORA.Repositori de Dades de Recerca
instname:Consorci de Serveis Universitaris de Catalunya (CSUC)
instname_str Consorci de Serveis Universitaris de Catalunya (CSUC)
reponame_str CORA.Repositori de Dades de Recerca
collection CORA.Repositori de Dades de Recerca
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424311854432256
score 15,811543

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