NEX-GDDP-FWI
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Global fire-weather projection dataset; a domain climate data product, not research infrastructure studied as an object.
This presents a fire-weather dataset for climate and wildfire applications, not research as its object.
Climate/fire-weather projection dataset product; not a study of research, scholarly infrastructure, or science as a system.
Résumé
The NEX-GDDP-FWI is a dataset that provides global fire weather projections derived from downscaled (0.25°) and bias-corrected daily Earth System Model (ESM) simulations. The dataset uses the Canadian Forest Fire Weather Index System framework to estimate fire danger by considering the effects of fuel moisture and wind on fire behavior and spread. It includes retrospective (1950-2014) and prospective (2015-2100) simulations from 33 ESMs. To make the dataset more accessible, the fire weather metrics are summarized at coarser temporal scales (monthly and annually), and source codes are provided for investigating daily fire weather. Multi-Model Ensemble data of monthly and annual fire weather metrics are also provided. This publicly available 5.1 TB dataset has the potential to be broadly used in not only for wildfire risk assessment but also for various future climate change impact assessments and preparedness.
Conservé avec la notice de tri, où il sert de preuve aux étiquettes ci-dessus.
La notice
- Revue
- National Aeronautics and Space Administration
- Thématique
- Genomics and Phylogenetic Studies
- Domaine
- Biochemistry, Genetics and Molecular Biology
- Établissements canadiens
- —
- Organismes subventionnaires
- —
- Mots-clés
- Climate changeWind speedNumerical weather predictionIndex (typography)Climate modelWeather forecasting
- Résumé présent dans OpenAlex
- oui