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Meteorological Service of New Zealand Limited, or simply MetService (Māori: Te Ratonga Tirorangi, lit. 'satellite service'), is the national meteorological service of New Zealand. MetService was established as a state-owned enterprise in 1992. It employs about 300 staff, and its headquarters are in Wellington, New Zealand. Prior to becoming a ...
Ring is known for attempting to predict weather and authors books on "how the moon affects the weather", which include an almanac each year for New Zealand (since 1999), Australia (since 2006) and Ireland (since 2010). [14] [15] He believes that the cycle of weather follows a lunar pattern and can be used to predict weather many years in ...
AccuWeather Forecast Center, 2007. AccuWeather provides weather forecasts, warnings, and a handful of other weather-related services. The company is best known for the eponymous website, app, and TV channel. Their brand is marketed as being more accurate than competitors, as is implied by their name, however there is mixed scientific research ...
A multi-day lake effect snow event off Lake Erie is ongoing, making travel "very difficult" throughout the Great Lakes region as a total of 3-12 inches of new snow was produced near Cleveland ...
"We expect rain to move into midtown Manhattan sometime between 7 and 9 p.m. on New Year's Eve and continue into the early morning hours on Wednesday," AccuWeather Meteorologist Alex Duffus said.
However, on a per capita basis, New Zealand is a significant emitter, the sixth highest within the Annex I countries, whereas on absolute gross emissions New Zealand is ranked as the 24th highest emitter. [26] [27] More than half (53%) of New Zealand's gross greenhouse gas emissions are from agriculture, mainly methane from sheep and cow belches.
Get the New York, NY local weather forecast by the hour and the next 10 days.
Microsoft's Aurora system offers global 10-day weather and 5-day air pollution (CO 2, NO, NO 2, SO 2, O 3, and particulates) forecasts with claimed accuracy similar to physics-based models, but at orders-of-magnitude lower cost. Aurora was trained on more than a million hours of data from six weather/climate models. [83] [84]