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

DOI

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.

Identifier
DOI https://doi.org/10.34810/data2515
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2515
Provenance
Creator CARRIÓ CARRIÓ, DIEGO SAÚL ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Carrió, Diego; Universitat de les Illes Balears
Publication Year 2025
Funding Reference Agencia Estatal de Investigación PID2023-146625OB-I00
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Carrió, Diego (Universitat de les Illes Balears)
Representation
Resource Type Program source code; Dataset
Format application/x-ipynb+json; text/x-python-script; application/octet-stream; application/vnd.ms-works; text/plain
Size 6702949; 34016; 33971; 34134; 33409; 382816; 2505690; 290182; 2056887; 738038; 1728732; 857870; 442316; 5279; 705; 745692; 3437174; 28994825; 5687; 13488733; 1849669
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences; Physics
Spatial Coverage (-5.000W, 25.000S, 30.000E, 40.000N)