Machine learning brightens weather forecasting’s future
Published May 24, 2021Neural networks show great potential in boosting the performance of numerical weather predictions.
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Neural networks show great potential in boosting the performance of numerical weather predictions.
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Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of 100+ 3U nanosatellites. Spire Federal enables government customers to address their mission challenges through our portfolio of global maritime, aviation and weather data solutions as well as our hosted payload and custom nanosatellite services.
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A look at how wind and solar energy use weather forecasts for a broad range of applications, from site planning, to daily operations, to maintenance.
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Space 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.
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The ability to capture vast amounts of data from space is improving all the time but it raises one question – can we process it quickly enough to support effective decision-making in the commercial world?
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Weather data supports critical wildfire management from long-term planning to immediate tactical responses.
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Advanced knowledge of hazardous weather conditions could potentially mitigate costly delays.
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Businesses and government agencies without weather strategies may be exposing themselves to risks and missing out on growth opportunities.
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We’ve seen the transformative power of digital technology in every sector, and space is no exception.
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Assimilating radio occultation data helps improve forecasting without the risks and costs of development.
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Data collected from satellites can help fight global health crises and support efforts to build resilient systems.
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Spire reinvents its corporate brand to reflect the ambition of its technology and promise.
Read moreAn elegant measurement called radio occultation captures precise atmospheric data that helps reduce errors in weather forecasting.
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