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Un conjunto de datos global completo de índices de calor de alta resolución de 1950 a 2024
Abdul Malik1, Sateesh Masabathini1, Mohsin Ahmed Shaikh2
1Climate Change Center, King Abdullah University of Science and Technology, Jeddah, Saudi Arabia.
Scientific data
|January 15, 2026
Resumen
Un nuevo conjunto de datos Comprehensive Heat Indices (CHI) proporciona datos de estrés por calor por hora y de alta resolución de 1950-2024. Este recurso ayuda a comprender y mitigar los impactos de las olas de calor cada vez más intensas en las poblaciones vulnerables y los riesgos climáticos.
Área de la Ciencia:
- Ciencias Ambientales
- Ciencias Climáticas
- Salud Pública
Sus antecedentes:
- Las temperaturas globales están aumentando, lo que lleva a olas de calor más intensas y frecuentes.
- Las poblaciones vulnerables, especialmente en comunidades de bajos ingresos, se ven afectadas de manera desproporcionada por el calor extremo.
- Los datos de alta resolución son cruciales para evaluar los impactos de las olas de calor en la productividad laboral, la salud pública y el riesgo climático.
Objetivo del estudio:
- Presentar el conjunto de datos Comprehensive Heat Indices (CHI), un novedoso conjunto de datos por hora de alta resolución.
- Proporcionar una perspectiva a largo plazo sobre las tendencias espaciales y temporales en el estrés por calor.
- Apoyar la investigación de impacto climático y la planificación de la adaptación.
Principales métodos:
- Se utilizaron los reanálisis ERA5 y ERA5-Land para derivar el conjunto de datos.
- Se generó un conjunto de datos por hora de alta resolución (0.1° × 0.1°) que abarca desde 1950 hasta 2024.
- Se incluyeron trece índices de estrés por calor, como el índice de estrés por calor letal (Ls), la temperatura de bulbo húmedo y el índice climático térmico universal.
Principales resultados:
- El conjunto de datos CHI ofrece una visión única y a largo plazo de las tendencias globales del estrés por calor.
- Los umbrales de Ls están empíricamente relacionados con la mortalidad, lo que permite la identificación de eventos de calor potencialmente mortales.
- El conjunto de datos es sensible a la humedad, la radiación y el viento, lo que respalda aplicaciones en interiores y exteriores.
Conclusiones:
- El conjunto de datos CHI es un recurso crítico para comprender y abordar los impactos del calor extremo.
- Son posibles mejores evaluaciones del estrés por calor en regiones agrícolas debido a la sensibilidad de Ls a la humedad del suelo.
- El conjunto de datos es vital para informar las estrategias de adaptación climática y las intervenciones de salud pública.
Palabras clave:
índices de calorestrés por calorolas de calorcambio climáticosalud públicaadaptación climáticadatos climáticosinvestigación climáticaproductividad laboralriesgo climáticoMás Videos Relacionados
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