Persistent Amazon fires slash solar irradiance in adjacent regions

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This winter brought dry and warm conditions to most of South America, resulting in higher-than-normal irradiance across the continent. The conditions have been particularly dry in the Amazon basin, favoring wildfire activity, and the resulting smoke has reduced
solar irradiance along the plume’s path, according to analysis using the Solcast API.

In August and September, many areas experienced significant increases in irradiance. Eastern and northern Brazil, Ecuador, Colombia, as well as states along the Caribbean Sea, Chile, and Argentina, saw irradiance levels over 20% higher than climatological averages. These conditions were driven by clear skies and favorable atmospheric patterns, boosting solar generation in regions unaffected by smoke or haze.

On the other hand, the Amazon basin continued to suffer from an extended winter drought, which exacerbated the frequency and intensity of wildfires. As smoke was carried across the continent with the prevailing westerly winds, irradiance levels dropped sharply in regions
bordering the Amazon basin all the way to Southern Brazil and Uruguay, with some areas experiencing up to a 20% reduction in solar irradiance. This trend mirrors conditions from last winter, when similarly dry conditions led to elevated wildfire activity and widespread smoke plumes.

Data from the Copernicus Atmosphere Monitoring Service (CAMS) confirms the alignment of aerosol concentrations with the negative anomalies observed in Solcast data.

Closer to the Amazon, in Trinidad, Bolivia, irradiance levels fell by more than 10% compared to the historical average. Porto Alegre and Asuncion, cities located far from the Amazon fires but along the path of the smoke, were also affected with clear-sky irradiance of 6% and more than 5% lower than its August average, respectively.

As well as in the Amazon, California and Canada have also been seeing multiple large scale, record-breaking wildfires over the past 18 months. This is changing the game for how weather models use and understand the impacts aerosols have on irradiance, making it more
important to use dynamic, high-resolution data inputs rather than relying on long-term climatological data as conditions are changing.

Solcast produces these figures by tracking clouds and aerosols at 1-2km resolution globally, using satellite data and proprietary AI/ML algorithms. This data is used to drive irradiance models, enabling Solcast to calculate irradiance at high resolution, with typical bias of less than 2%, and also cloud-tracking forecasts. This data is used by more than 300 companies managing over 150GW of solar assets globally.

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