Producing high-resolution, real-time synthetic meteorological conditions from radar data
View Patent ↗Methods and articles of manufacture for estimating or deriving weather observations for any given location. Using weather radar data, a correspondence between the weather radar coverage, intensity and the precipitation type may be monitored. From that, a measure of corroboration between the radar data and surface weather conditions may be established. Through radar calibration statistics and estimates of ground-based precipitation, the corroboration can be iteratively tuned, resulting in a final improved estimate of the present weather and associated meteorological fields. The associated meteorological fields may include at least one of a probability of precipitation, precipitation accumulation, precipitation rate, and horizontal visibility.
1. A method for estimating current weather conditions, comprising:
receiving radar imagery;
receiving an indication of a location of interest;
deriving a synthetic estimate of present weather and associated meteorological conditions related to said location of interest from said radar imagery,
wherein said associated meteorological conditions comprise at least one of a probability of precipitation, precipitation accumulation, precipitation rate, and horizontal visibility; and
producing said synthetic estimate of present weather and associated meteorological conditions as an indication of current weather conditions at said location of interest.
2. The method of claim 1 , further comprising:
sampling said radar imagery around said location of interest to ascertain sampled radar imagery; and
defining a matrix of reflectivity values from said sampled radar imagery.
3. The method of claim 2 , wherein deriving said probability of precipitation further comprises:
determining a radar coverage amount by applying a mask to said matrix of reflectivity values, said mask being determined in accordance with a type of precipitation indicated by said reflectivity values.
4. The method of claim 3 , further comprising:
determining a close-in clustering of said reflectivity values about said location of interest; and
determining a fringe clustering of said reflectivity values near a fringe of said sampled radar imagery.
5. The method of 4 , further comprising adjusting said probability of precipitation in accordance with a ratio of said close-in clustering and said fringe clustering.
6. The method of claim 5 , further comprising applying a scaling factor to said probability of precipitation.
7. The method of claim 2 , wherein deriving said precipitation rate further comprises:
determining an average reflectivity from said matrix of reflectivity values; and
converting said average reflectivity to a radar reflectivity factor.
8. The method of claim 2 , wherein deriving said horizontal visibility further comprises:
determining a fall velocity of precipitation;
determining a rate of precipitation; and
applying a constant to said fall velocity of precipitation and said rate of precipitation to determine said horizontal visibility.
9. The method of claim 8 , further comprising determining said fall velocity in accordance with one of dry snow, wet snow and drizzle, mixed precipitation, and rain.
10. The method of claim 8 , further comprising determining said constant in accordance with a temperature.
11. The method of claim 8 further comprising adjusting said horizontal visibility in accordance with at least one of fog and wind speed.
12. A computer readable medium containing computer executable instructions for estimating current weather conditions, said instructions for performing the steps of:
receiving radar imagery;
receiving an indication of a location of interest;
deriving a synthetic estimate of present weather and associated meteorological conditions related to said location of interest from said radar imagery,
wherein said associated meteorological conditions comprise at least one of a probability of precipitation, precipitation accumulation, precipitation rate, and horizontal visibility; and
providing said synthetic estimate of present weather and associated meteorological conditions to produce said current weather conditions for said location of interest.
13. The computer readable medium of claim 12 , further comprising instructions for:
sampling said radar imagery around said location of interest to ascertain sampled radar imagery; and
defining a matrix of reflectivity values from said sampled radar imagery.
14. The computer readable medium of claim 13 , said instructions for deriving said probability of precipitation further comprising:
determining a radar coverage amount by applying a mask to said matrix of reflectivity values, said mask being determined in accordance with a type of precipitation indicated by said reflectivity values.
15. The computer readable medium of claim 14 , further comprising instructions for:
determining a close-in clustering of said reflectivity values about said location of interest; and
determining a fringe clustering of said reflectivity values near a fringe of said sampled radar imagery.
16. The computer readable medium of 15 , further comprising instructions for adjusting said probability of precipitation in accordance with a ratio of said close-in clustering and said fringe clustering.
17. The computer readable medium of claim 16 , further comprising instructions for applying a scaling factor to said probability of precipitation.
18. The computer readable medium of claim 13 , said instructions for deriving said precipitation rate further comprising:
determining an average reflectivity from said matrix of reflectivity values; and
converting said average reflectivity to a radar reflectivity factor.
19. The computer readable medium of claim 13 , said instructions for deriving said horizontal visibility further comprising:
determining a fall velocity of precipitation;
determining a rate of precipitation; and
applying a constant to said fall velocity of precipitation and said rate of precipitation to determine said horizontal visibility.
20. The computer readable medium of claim 19 , further comprising instructions for determining said fall velocity in accordance with one of dry snow, wet snow and drizzle, mixed precipitation, and rain.
21. The computer readable medium of claim 19 , further comprising instructions for determining said constant in accordance with a temperature.
22. The computer readable medium of claim 19 further comprising adjusting said horizontal visibility in accordance with at least one of fog and wind speed.