Machine learning brightens weather forecasting’s future
Published May 24, 2021Neural networks show great potential in boosting the performance of numerical weather predictions.
Read moreNeural networks show great potential in boosting the performance of numerical weather predictions.
Read moreMillions of dollars of cargo continues to pile up on the ocean floor as more containers topple off of ships mid-transport. Weather data is becoming a key element in the claims process.
Read moreHow Spire Weather unlocks critical data for wildfire risk evaluation index.
Read moreA look at how wind and solar energy use weather forecasts for a broad range of applications, from site planning, to daily operations, to maintenance.
Read moreSpace is seen as the next frontier for mankind. But while we explore technology for exploring space, there is also an advantage to using the same space (pun intended) for monitoring the Earth’s weather patterns.
Read moreWe’re pulling our weather forecast and AIS data and taking a closer look at last week’s event in the Suez Canal.
Read moreWeather data supports critical wildfire management from long-term planning to immediate tactical responses.
Read moreAdvanced knowledge of hazardous weather conditions could potentially mitigate costly delays.
Read moreBusinesses and government agencies without weather strategies may be exposing themselves to risks and missing out on growth opportunities.
Read moreAssimilating radio occultation data helps improve forecasting without the risks and costs of development.
Read moreFor wind farms, extreme winds pose risks, but also opportunities. An overview of the risks and benefits of extreme winds to renewable wind energy facilities.
Read moreAn elegant measurement called radio occultation captures precise atmospheric data that helps reduce errors in weather forecasting.
Read moreWhy efficient and scalable offshore wind energy depends on accurate and high-resolution weather forecasts and radio occultation
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