Forecasts of how much sunlight an area receives on given days have multiple uses—from helping people decide how to dress up and go about their day, to enabling entire industries to adjust their operations, to farmers in planting and harvesting their crops, or to fishers in catching fishes.
To this end, an international team of researchers, led by the Ateneo de Manila University and the Manila Observatory, have pioneered in improving sunny weather forecasts by as much as 94 percent.
Using data from various Metro Manila weather stations, they found that under some conditions they could minimize the discrepancy between forecasts and actual observations to as little as 6 percent. The KF algorithm also excelled at correcting cloudy-period forecasts, albeit with slight inaccuracies for clear skies due to overcompensation for cloudy periods.
The findings also emphasize the need for further model optimization across diverse Philippine landscapes to ensure reliable solar energy predictions tailored to the country’s unique climatic conditions.
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