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Techniques to Improve Global Weather Forecasting Using Model Blending and Historical GPS-RO Dataset
Techniques to Improve Global Weather Forecasting Using Model Blending and Historical GPS-RO Dataset
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机译:使用模型融合和历史GPS-RO数据集改善全球天气预报的技术
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摘要
Techniques for improving weather forecasting using model blending and historical global positioning system-radio occultation (GPS-RO) measurements are provided. In one aspect, a method for weather forecasting includes: obtaining historical GPS-RO measurements; determining a refractive index of the atmosphere from the GPS-RO measurements; obtaining historical forecasts from multiple individual numerical weather models from a same given time period as the GPS-RO measurements; statistically correcting the historical forecasts using the refractive index of the atmosphere determined from the GPS-RO measurements; blending the numerical weather models using the statistically corrected historical forecasts to create a blended weather model, wherein the blending is performed to improve a forecast of the refractive index of the atmosphere by the blended weather model; and forecasting primary weather parameters using the blended weather model. Secondary weather parameters (e.g., wind speed and/or precipitation) can then be forecasted using the primary weather parameters by physical or statistical methods.
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