System for producing high-resolution, real-time synthetic meteorological conditions for a specified location
View Patent ↗Methods and articles of manufacture for estimating or deriving weather observations/conditions for any given location using observed weather conditions from neighboring locations, radar data, lightning data, satellite imagery, etc. An initial estimate of weather conditions for a location is made based on a downscaling process using the current conditions the neighboring locations. A measure of corroboration between the radar data and surface weather conditions at official observing stations may be established. Through the results of the downscaling process, radar calibration statistics and estimates of ground-based precipitation, the corroboration can be iteratively tuned, resulting in a weather conditions vector containing associated meteorological fields for locations that lie between or near the sparse network of official observing sites from which an estimate of the weather conditions may be made.
1. A method for estimating weather conditions at a predetermined location, comprising:
receiving weather observation data, short-term forecast data and radar data;
estimating first weather conditions at said predetermined location from said short-term forecast data;
adjusting said short-term forecast data by interpolating corrections in accordance with weather conditions at nearest neighbors to said predetermined location;
estimating second weather conditions at said predetermined location from said radar data; and
weighting said first estimated weather conditions and said second estimated weather conditions to determine meteorological data to generate an estimate of actual observed weather conditions at said predetermined location.
2. The method of claim 1 , said adjusting further comprising:
establishing an initial estimate of weather conditions at each of said nearest neighbors in accordance with climatological data; and
determining said corrections to said initial estimate in accordance with said weather observation data associated with said nearest neighbors.
3. The method of claim 2 , said determining nearest neighbors further comprising:
selecting a candidate with a highest covariance with said predetermined location and adding it to a list of neighbors; and
interactively repeating for each remaining candidate the following:
determining a length of a vector for a next candidate; and
adding a candidate found to have a minimum length to said list of neighbors.
4. The method of claim 1 , further comprising:
comparing said weather observation data with said second estimated weather conditions for a plurality of official observation points; and
determining an average variance by performing a least-squares subtraction representing a difference between said weather observation data and said second estimated weather conditions for each of said plurality of official observation points.
5. The method of claim 4 , further comprising using said average variance to determine said weighting of said first estimated weather conditions and said second estimated weather conditions.
6. The method of claim 1 , wherein said meteorological fields comprise at least one of a probability of precipitation, a probability of thunder, a conditional probability of rain, a conditional probability of snow, a conditional probability of ice, a probability of fog, a quantitative precipitation estimate, and horizontal visibility.
7. A computer readable medium containing computer executable instructions for estimating current weather conditions, said instructions for performing the steps of:
receiving weather observation data, short-term forecast data and radar data;
estimating first weather conditions at said predetermined location from said short-term forecast data;
adjusting said short-term forecast data by interpolating corrections in accordance with weather conditions at nearest neighbors to said predetermined location;
estimating second weather conditions at said predetermined location from said radar data; and
weighting said first estimated weather conditions and said second estimated weather conditions to determine meteorological data to generate an estimate of actual observed weather conditions at said predetermined location.
8. The computer readable medium of claim 7 , further comprising instructions for:
adjusting said short-term forecast data using said weather observation data;
determining nearest neighbors to said predetermined location;
establishing an initial estimate of weather conditions at each of said nearest neighbors in accordance with climatological data; and
determining said corrections to said initial estimate in accordance with said weather observation data associated with said nearest neighbors; and
interpolating said corrections to said predetermined location.
9. The computer readable medium of claim 8 , further comprising instructions for:
comparing said weather observation data with said second estimated weather conditions for a plurality of official observation points;
determining an average variance by performing a least-squares subtraction representing a difference between said weather observation data and said second estimated weather conditions for each of said plurality of official observation points; and
using said average variance to determine said weighting of said first estimated weather conditions and said second estimated weather conditions.
10. A method of generating a synthetic weather observation at a predetermined location, comprising:
receiving observation data;
reading forecast data;
adjusting said forecast data using said observation data to derive adjusted data;
interpolating said adjusted data to said predetermined location;
reading radar data to extract precipitation type and intensity for said predetermined location; and
generating a weather conditions vector derived from interpolated data and extracted data to determine said synthetic weather observation for said predetermined location.
11. The method of claim 10 , said interpolating further comprising determining an initial estimate of current conditions at said predetermined location and at neighbor sites.
12. The method of claim 11 , further comprising deriving said initial estimate from said forecast data and higher-resolution climatological data.
13. The method of claim 12 , said forecast data being gridded data, said method further comprising determining a deviation from said climatological data at each relevant grid location.
14. The method of claim 13 , said each relevant grid location being one of said predetermined location and surrounding grid points of said predetermined location.
15. The method of claim 11 , further comprising adjusting said initial estimate using a temporal interpolation.
16. The method of claim 15 , said temporal interpolation comprising applying weights for surrounding grid times to a present time.
17. The method of claim 11 , further comprising determining said neighbor sites by selecting neighbors that have a high covariance with said predetermined location and low covariance amongst its members.
18. The method of claim 11 , further comprising making corrections to the initial estimate based on a most recent observation at that neighbor site and applying said corrections to said predetermined location.
19. The method of claim 10 , further comprising determining a lightning intensity at said predetermined location.