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Forecast Skill Evaluation Methods Specific for Convective Extreme Forecast at Sub-seasonal to Seasonal Time Scale
This software includes a method designed to evaluate forecast skill at sub-seasonal to seasonal (S2S) time scale, combining traditional evaluation methods and image processing approaches.
A demonstration of this technology for the Arabian Peninsula is described in: Risanto, C.B., Chang, HI., Luong, T.M. et al. Retrospective sub-seasonal forecasts...
Published: 3/12/2024
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Inventor(s): Christopher Castro, Hsin I Chang, Christoforus Bayu Risanto
Keywords(s):
Category(s): Technology Classifications > Energy, Cleantech & Environmental > Water Resource Efficiency, Technology Classifications > Software & Information Technology
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Mesoscale Convective Sestem Tracking Method Calibrated for Arabian Peninsula Convections
This software includes a method of tracking organized atmospheric convections by developing tracking criteria through cloud top temperature and precipitation.
A demonstration of this technology for the Arabian Peninsula is described in: Chang, H.-I, K. Oliver, C. L. Castro, I. Hoteit, 2021: Tracking mesoscale convective system sub-seasonal forecast...
Published: 3/12/2024
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Inventor(s): Christopher Castro, Hsin I Chang, Christoforus Bayu Risanto
Keywords(s):
Category(s): Technology Classifications > Software & Information Technology, Technology Classifications > Energy, Cleantech & Environmental > Water Resource Efficiency
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Input Selection Process for Subseasonal to Seasonal Forecast over the Arabian Peninsula
This software includes a method to evaluate and select input data for subseasonal to seasonal time scale regional climate modeling. Euopean Center of Medium-range Weather Forecasts (ECMWF) forecast ensembles are selected as forcing for the Weather Research and Forecasting model at convective permitting spatial resolution. The use of ECMWF forcing, as...
Published: 3/12/2024
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Inventor(s): Christopher Castro, Hsin I Chang, Christoforus Bayu Risanto
Keywords(s):
Category(s): Technology Classifications > Energy, Cleantech & Environmental > Water Resource Efficiency, Technology Classifications > Software & Information Technology
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