System and method for sub-seasonal forecasts of extreme weather events in winter

Patent metadata

Field	Value
Publication number	US-10197706-B1
Application number	US-201715450897-A
Country	US
Kind code	B1
Filing date	Mar 6, 2017
Priority date	Mar 4, 2016
Publication date	Feb 5, 2019
Grant date	Feb 5, 2019

Abstract

A system and method employing a hybrid method for predicting sub-seasonal forecasts of winter storms and cold air outbreaks (CAOs). In various embodiments, the method includes, deriving a lead-time series of forecasted indices describing a state of stratospheric mass circulation from a plurality of forecasts generated by an operational numerical model for seasonal weather forecasts, detecting one or more PULSE events in the lead-time series of forecasted indices describing a state of stratospheric mass circulation to determine a state of the stratospheric mass circulation during the detected PULSE events and generating a sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) by linking the state of stratospheric mass circulation during the detected PULSE events to one or more maps of surface temperature and wintery precipitation based on historical observation data.

First claim

What is claimed is:

1. A method for generating sub-seasonal forecasts of winter snowstorms and cold air outbreaks (CAOs), the method comprising:
receiving, by at least one computing device, a plurality of forecasts generated by an operational numerical model for seasonal weather forecasts;
deriving a lead-time series of a set of forecasted indices describing a state of stratospheric mass circulation from the plurality of forecasts generated by an operational numerical model for seasonal weather forecasts;
detecting a timing of occurrence and associated intensity of one or more PULSE events in the lead-time series of the set of forecasted indices describing the state of stratospheric mass circulation to determine a model forecasted state of the stratospheric mass circulation during the detected PULSE events;
correcting a model forecast bias of the model forecasted state of the stratospheric mass circulation during the detected PULSE events to generate a corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events;
constructing a statistical model linking the corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events to surface temperature and wintery precipitation based on historical observation data; and
generating a sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) by applying the corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events to the statistical model.

2. The method of claim 1 , wherein a PULSE event is detected when a time period having a high probability of a local peak in the lead-time series of the set of forecasted indices describing the state of stratospheric mass circulation is forecasted by large number of ensemble m embers.

3. The method of claim 1 , wherein the operational numerical model for seasonal weather predictions is a model representing the global interaction between the Earth's oceans, land and atmosphere.

4. The method of claim 1 , wherein the operational numerical model for seasonal weather predictions can be selected from one of a plurality of operational forecast models, including the NOAA (National Oceanic and Atmospheric Administration) Climate Forecast System (CFSv2).

5. The method of claim 1 , wherein the lead-time series of a set of forecasted indices describing a state of stratospheric mass circulation includes one or more of mass circulation intensity, duration, spatial scales, longitude locations of maximum poleward and equatorward mass transport and detailed spatial pattern.

6. The method of claim 1 , wherein a lead time of the lead-time series of a set of forecasted indices describing a state of stratospheric mass circulation is about 0-60 days.

7. The method of claim 1 , wherein constructing a statistical model linking the corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events to surface temperature and wintery precipitation based on historical observation data, comprises performing one or more statistical analysis methods, selected from a singular vector decomposition, a canonical correlation analysis, and a constructed analogue.

8. The method of claim 1 , wherein the sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) is at a forecast range between about 14 days and about 50 days.

9. The method of claim 1 , wherein the sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) further comprises a timing of occurrence associated the winter snowstorms and CAOs, an intensity associated with the winder snowstorms and CAOs, and map information of one or more cold temperature anomalies associated with the winter snowstorms and CAOs.

10. The method of claim 1 , wherein generating a sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) by applying the corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events to the statistical model further comprises, generating one or more of, a time series and a temporally evolving maps of temperature and precipitation anomalies for a period from 1-2 weeks before, to after a detected PULSE event, at lead times between 14 days to 50 days.

11. A computer system for generating sub-seasonal forecasts of winter snowstorms and cold air outbreaks (CAOs), the system including one or more of a central processing unit (CPU), a computer readable memory, a computer readable storage medium and one or more program instructions operable for:
receiving a plurality of forecasts generated by an operational numerical model for seasonal weather forecasts;
deriving a lead-time series of a set of forecasted indices describing a state of stratospheric mass circulation front the plurality of forecasts generated by an operational numerical model for seasonal weather forecasts;
detecting a timing of occurrence and associated intensity of one or more PULSE events in the lead-time series of the set of forecasted indices describing the state of stratospheric mass circulation to determine a model forecasted state of the stratospheric mass circulation during the detected PULSE events;
correcting a model forecast bias of the model forecasted state of the stratospheric mass circulation during the detected PULSE events to generate a corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events;
constructing a statistical model linking the corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events to surface temperature and wintery precipitation based on historical observation data; and
generating a sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) by applying the corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events to the statistical model.

12. The system of claim 11 , wherein a PULSE event is detected when a time period having a high probability of a local peak in the lead-time series of the set of forecasted indices describing the state of stratospheric mass circulation is forecasted by large number of ensemble members.

13. The system of claim 11 , wherein the operational numerical model for seasonal weather predictions can be selected from one of a plurality of operational forecast models, including the NOAA (National Oceanic and Atmospheric Administration) Climate Forecast System (CFSv2).

14. The system of claim 11 , wherein the lead-time series of a set of forecasted indices describing a state of stratospheric mass circulation includes one or more of mass circulation intensity, duration, spatial scales, longitude locations of maximum poleward and equatorward mass transport and detailed spatial pattern.

15. The system of claim 11 , wherein the sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) is at a forecast range between about 14 days and about 50 days.

16. The system of claim 11 , wherein the sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) further comprises a timing of occurrence associated the winter snowstorms and CAOs, an intensity associated with the winder snowstorms and CAOs, and map information of one or more cold temperature anomalies associated with the winter snowstorms and CAOs.

17. The system of claim 11 , wherein generating a sub-seasonal forecast of winter snowstorms and cold air outbreaks (CAOs) by applying the corrected model forecasted state of the stratospheric mass circulation during the detected PULSE events

Assignees

• Univ Florida State Res Found Inc

Inventors

• Cai Ming
• Yu Yueyue

Classifications

• G01W1/10 Primary

  Devices for predicting weather conditions (computers per se G06; display devices G09) · CPC title