Emerging Aviation Weather Research at MIT Lincoln Laboratory*

Transcription

1 Emerging Aviation Weather Research at MIT Lincoln Laboratory* Haig 19 November 2015 *This work was sponsored by the Federal Aviation Administration under Air Force Contract No. FA C Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the United States Government.

2 Outline Offshore Precipitation Capability Convective Weather Avoidance Polygons Forecast Confidence 2015 FPAW 2

3 Aviation Weather Information Shortfall: Limited Offshore Observations and Forecasts NEXRAD Radar Coverage Current Radar Analysis Precipitation Intensity No Weather Radar Good Coverage Degraded Coverage No Coverage Sample Flight Tracks Current Forecast Domain Current Forecast Domain The Offshore Precipitation Capability (OPC) is being developed to provide operational radar-like view of weather beyond radar coverage 2015 FPAW 3

4 OPC Input Data Lightning Geostationary Satellite Numerical Weather Prediction Models GFS Forecast Earth Networks Total Lightning Network Sensor Locations + CG Flash RAP Model Visible Infrared Lightning Flashes, Oct 14 th, km resolution 4 Channels, 4 km res Temperature, Pressure, & Winds Update rate: Every second Update rate: ~10 30 minutes Update rate: Forecasts issued hourly 2015 FPAW 4

5 OPC Processing Satellite Inputs Feature Extraction Machine Learning (Random Forest) t 1 ( x) Lightning x t ( x 2 ) Output 1 F( x) = ti ( x) N i Model.... t N (x) Multiple, heterogeneous inputs are flexibly accommodated and optimally combined 2015 FPAW 5

6 Merging OPC and Radar Radar Merged Radar + OPC Machine Learning OPC is used to fill areas without weather radar coverage 2015 FPAW 6

7 OPC Mosaics and Lightning Radar + Satellite + Lightning Radar + OPC + Satellite 2015 FPAW 7

8 Offshore Forecast OPC Analysis 17 UTC 3 October 2015 CoSPA Domain Hurricane Joaquin OPC is the starting point for the offshore forecast 2015 FPAW 8

9 1 Hour Offshore Forecast Valid 18 UTC 3 October 2015 Offshore Forecast blends OPC extrapolation with RAP numerical model forecast 2015 FPAW 9

10 8 Hour Offshore Forecast Valid 01 UTC 4 October 2015 Offshore Forecast blends OPC extrapolation with RAP numerical model forecast 2015 FPAW 10

11 8 Hour Offshore Forecast Comparison Valid 01 UTC 4 October 2015 Current 8 Hour Forecast Offshore 8 Hour Forecast Outside current forecast domain Offshore Forecast extends the range of current forecast 2015 FPAW 11

12 Outline Offshore Precipitation Capability Convective Weather Avoidance Polygons Forecast Confidence 2015 FPAW 12

13 Weather Avoidance Field Identifying Storms that Pilots Avoid Convective Weather Avoidance Model WEATHER DATA Storm Intensity WEATHER AVOIDANCE FIELD Deviation Probability Lookup Table Storm Height Spatial Filters Flight Altitude Storm Height Area Coverage of Storm Weather Avoidance Field (WAF) DEVIATION DATABASE Non-Deviation Deviation Statistical Pattern Classifier Deviation Probability Flight Altitude Storm Height Area Coverage of Storm 2015 FPAW 13

14 Convective Weather Avoidance Polygons Identifying Clusters of Storms that Pilots Avoid In en route airspace, pilots avoid storms, not pixels Convective Weather Avoidance Polygon (CWAP) combines edges in the echo top field with WAF Identify the boundaries of storms that pilots tend to avoid Deviation probability Precipitation intensity CWAP 08 August :40Z 02:10Z minute forecasts of CWAP can alert dispatchers, pilots, and ATC to growing storms that should be avoided 2015 FPAW 14

15 2015 FPAW 15 CWAPs, Flights and Weather

16 Offshore CWAPs based on OPC WAF Probability (%) 2015 FPAW 16

17 Outline Offshore Precipitation Capability Convective Weather Avoidance Polygons Forecast Confidence 2015 FPAW 17

18 How Much Can I Trust the Forecast? Forecasts issued 12 UTC 14 June hr HRRR Forecast 18Z 11 hr HRRR Forecast 23Z LAMP Forecast 18Z LAMP Forecast 23Z Users often compare and contrast forecasts 2015 FPAW 18

19 Translate Weather to Permeability Important for Enroute Decisions Observed 18Z Observed 23Z CWAM Permeability (%) Low Impact Medium Impact High Impact 0 Time (UTC) 2015 FPAW 19

20 Forecast Confidence Combine Multiple Forecasts Developing machine learning methods to combine multiple forecasts of varying skill to provide the confidence in a permeability forecast Extrap HRRR Time-lag SREF LAMP 100 Traffic Flow Impact (TFI) Forecast 80 th Percentile 80 th Percentile Permeability (%) Black Line: Observed Permeability 50 th Percentile Mean 20 th Percentile Time (UTC) Spread of 80 th and 20 th percentiles indicates forecast confidence 2015 FPAW 20

21 Forecast Confidence Combine Multiple Forecasts Developing machine learning methods to combine multiple forecasts of varying skill to provide the confidence in a permeability forecast Extrap HRRR Time-lag SREF LAMP 100 Traffic Flow Impact (TFI) Forecast Permeability (%) Time (UTC) Assess individual forecasts 2015 FPAW 21

22 Forecast Confidence Combine Multiple Forecasts Developing machine learning methods to combine multiple forecasts of varying skill to provide the confidence in a permeability forecast Extrap HRRR Time-lag SREF LAMP 100 Traffic Flow Impact (TFI) Forecast Permeability (%) Observed Permeability 0 Time (UTC) Observed permeability should tend to fall within shading 2015 FPAW 22

23 Quantified Accuracy of Translated Forecast Components *Forecast Skill: coefficient of determination (RR 22 ) between forecasted and observed permeability Combination of forecasts outperforms any single forecast 2015 FPAW 23

24 Summary Offshore Precipitation Capability (OPC) Creating radar-like analyses for regions beyond radar Forms the starting point for offshore forecast Potential operational platforms for OPC include FAA NextGen Weather Processor and NWS Multi-Radar/Multi-Sensor (MRMS) system Convective Weather Avoidance Polygons (CWAP) Leverages Convective Weather Avoidance Model CWAP defines a region of airspace that pilots tend to avoid Included as part of NextGen Weather Processor technical transfer Forecast Confidence Combines multiple forecast models to provide forecast confidence for enroute planning Included as part of NextGen Weather Processor technical transfer 2015 FPAW 24