Data assimilation in a LOTOS-EUROS chemical transport model for Colombia using satellite measurements

Doctoral thesis (2024)

Authors

A. Yarce Botero Atmospheric Remote Sensing -

Research Group

Atmospheric Remote Sensing () (TU Delft)

DOI: https://doi.org/10.4233/uuid:e202a1f3-9c73-42d1-b7f6-d45f9631df74

Data Assimilation Chemical Transport Model Ensemble-based methods Satellite data assimilation Low-cost in situ measurements

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Published Date

2024

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Atmospheric Remote Sensing

Abstract

When considering air quality, notably in South America, it seems that we are falling behind more developed regions in exacerbating the issue. This shortfall serves not just as observation, but as a warning, as air quality problems here are rapidly escalating. Nevertheless, by examining how other countries have addressed similar issues, we can prepare ourselves to tackle our own challenges. In this thesis we demonstrate how utilizing Data Assimilation DA we can reduce the uncertainty in some model uncertain parameters in an air quality model such as the LOTOS-EUROS Chemical Transport Model (CTM).....

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