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Validación de la plataforma triple de las recuperaciones TROPOMI v2.4 NO₂: Cuantificación de los cambios impulsados

Jianbin Gu¹, Jinhua Tao¹, Meng Fan¹

¹State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.

Environmental research

|August 22, 2025

Resumen

El algoritmo de recuperación por satélite TROPOMI versión 2.4 mejora significativamente el monitoreo del dióxido de nitrógeno (NO2) en China. Esta mejora mejora la precisión, especialmente en áreas urbanas y con vegetación, ayudando a la gestión de la calidad del aire.

Área de la Ciencia:

Ciencias atmosféricas
Detección remota
Monitoreo del medio ambiente

Sus antecedentes:

La recuperación de dióxido de nitrógeno (NO2) por satélite tiene incertidumbres en diversas regiones geográficas.
La mejora del control del NO2 requiere una validación rigurosa de los cambios en los algoritmos de recuperación.

Objetivo del estudio:

Validar las capacidades mejoradas de monitoreo del NO2 del algoritmo TROPOMI versión 2.4.
Cuantificar el impacto de las actualizaciones de algoritmos en las mediciones de NO2 en geografías heterogéneas de China.

Principales métodos:

Validación exhaustiva utilizando datos del instrumento de monitoreo del ozono (OMI) y 1.707 sitios de superficie en China.
Utilizando la climatología Direccional Lambertiana de Reflectividad Equivalente (DLER) mejorada y espectros de radiación v2.1.
Evaluación de las mejoras de la función de distribución de reflectancia bidireccional optimizada (BRDF) para la dispersión anisotrópica.

Principales resultados:

TROPOMI v2.4 muestra un aumento medio del 9% en las columnas de NO2 troposféricas en comparación con v2.2.
Se observaron aumentos del 16 al 30% en las megaciudades y del 3 al 9% en las zonas rurales.
Reducción de las diferencias con el IMO en un 16% y fuerte correlación (R=0,65) con las mediciones del suelo, corrigiendo las subestimaciones en las zonas con vegetación.

Conclusiones:

TROPOMI v2.4 mejora significativamente la precisión y fiabilidad del monitoreo del NO2.
Las mejoras del algoritmo son transferibles a los ecosistemas mundiales de vegetación monzónica.
Proporciona factores de emisión calibrados cruciales para la gestión de la calidad del aire y la evaluación de la recuperación por satélite.

Palabras clave:

Reflectividad equivalente lambertiana direccional (DLER)Calibración del factor de emisión Validación del ecosistema monzónico Armonización por satélite multiplataforma TROPOMI NO(2) mejoras de recuperación Interacción entre la vegetación y la anisotropía

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