Any method to map trends of CO2 and CH4 using OCO-2 and Tropomi satellite data?
Michael John Patrick
Google Scholar is your friend: https://scholar.google.com/scholar?hl=en&as_sdt=0%252C48&q=method+to+map+trends+of+CO2+and+CH4+using+OCO-2+and+Tropomi ... change the search words to suit.
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Sergei G. Parsegov
Time series analysis: A common approach is to use time series analysis to examine trends in CO2 and CH4 concentrations over time. This involves analyzing the data from multiple OCO-2 and Tropomi satellite observations over a period of several years and examining trends in the concentration of these gases over time. Spatial analysis: Another approach is to use spatial analysis to examine how CO2 and CH4 concentrations vary across different geographic regions. This involves analyzing the satellite data to create maps that show the spatial distribution of these gases and how they are changing over time. Data fusion: A third approach is to combine data from multiple sources, such as ground-based measurements, with the satellite data to create more accurate and detailed maps of CO2 and CH4 concentrations. This involves using sophisticated modeling techniques to integrate the data from different sources and create more accurate and reliable estimates of these gases. Machine learning: A fourth approach is to use machine learning algorithms to analyze the satellite data and identify patterns and trends in CO2 and CH4 concentrations. This involves training the algorithm on large datasets of satellite data and using it to identify relationships between different variables and predict future trends in these gases.
There are several methods to map trends of CO2 and CH4 using satellite data from the OCO-2 and Tropomi missions. Here are a few approaches you could consider:
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