In a new weekly update pv magazine, the DNV company Solcast presents the solar radiation power data it collected from North America in May. New York set a new record on May 18, with solar supplying 20% of the state’s electricity needs, while rooftops in Los Angeles and San Diego actually received less radiation in May than New York or Boston.
New York set a new record on May 18, when solar power met 20% of the state’s electricity needs. as reported pv magazine. New York’s total irradiance in May was closer to California’s average than its average own. California’s irradiance was below average in May due to winds pushing ocean clouds pushing further up the coast, the roofs of Los Angeles and San Diego actually received less radiation during the period in May than in New York or Boston.
A sunny May in the Northeast, Great Lakes and Midwest resulted high pressure weather pattern in North America. Exceptionally high pressure was concentrated Central-Eastern Canada, partly in conjunction with the positive phase of the Artic Oscillation, when the weather the systems contract closer to the Arctic region and the pressure is higher in the continental regions. High pressure
suppressed cloud-bearing systems and brought cooler, drier air from the Arctic over eastern Canada and Canada From the US Midwest to the East Coast.
Elsewhere in the southern and western parts of North America, including Mexico, were irradiated near normal or below normal during May. With the repetition of the weather patterns seen during April, the Southeast and Gulf regions, including Texas and northeastern Mexico, received more clouds and less radiation than normal, due to moist easterly winds from the Atlantic and Gulf of Mexico.
Solcast produces these numbers through the radiative forcing forecast and weather API by tracking clouds and aerosols to within 1-2 km globally using satellite data and proprietary AI/ML algorithms. This information is used to control the irradiance models, which makes it possible Solcast calculates irradiance with high resolution, typical error less than 2%, and also cloud tracking predictions. This data is used by more than 300 companies that manage more than 150 GW of solar energy worldwide.