Ocean seesaw and sunlight ✎

Original: "How Does ENSO Impact the Solar Radiation Forecast in South America? The Self-affinity Analysis Approach"
arXiv:2007.15637 · 2020-07-23 · arXiv non-exclusive · independent analysis · 1 min
Warm and cold years in the Pacific change cloud cover over solar power plants in different ways.

The Pacific Ocean works like a giant seesaw. Sometimes its surface warms up, and then more clouds gather over South America. Sometimes the ocean cools, and the sky stays clear more often. These swings are called El Niño and La Niña. They move slowly, over several years, and they determine how much sunlight reaches the panels.

Scientists took sunlight data from 31 weather stations in Brazil and Chile. They compared three years: one warm, one cold, and one neutral. It turned out that in a neutral year, the weather behaves 'stubbornly': if it is clear today, it will likely be clear tomorrow. In a warm El Niño year, this 'stubbornness' becomes even stronger, especially in northern Brazil. But in a cold La Niña year, in some cities the weather becomes more variable: a clear day is more often followed by an overcast one.

In the Brazilian city of Coxim, the weather changed its character three times over three years: sometimes stubborn, sometimes variable, then stubborn again. Another city, Corumbá, on the other hand, remained almost the same all the time.

This matters for people who build solar power plants. If they measured sunlight during an El Niño year, their ten-year forecasts could be off. Previously this was unknown, but now adjustments can be made so that plants generate as much energy as promised.

The city of Coxim in Brazil switched regimes three times in three years: antipersistent during El Niño, subdiffusive during La Niña, and persistent in the neutral year. Such variability is comparable to a person who in some years predictably repeats their habits and in others behaves chaotically.

Concepts
ENSO El Niño-Southern Oscillation spring predictability barrier Niño 4 Southern Oscillation recharge oscillator model La Niña Multivariate ENSO Index NOAA CPC TAO/TRITON moorings ERSST seasonal forcing solar cell Warm water volume forecasting equatorial wave propagation Bjerknes feedback natural variability solar flare prediction Indian Ocean capacitor effect