Phillip Bothwell Senior Development Meteorologist-Storm Prediction Center 3 rd Annual GOES-R GLM Science Meeting Dec. 1, 2010 Applying the Perfect Prog.

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Presentation transcript:

Phillip Bothwell Senior Development Meteorologist-Storm Prediction Center 3 rd Annual GOES-R GLM Science Meeting Dec. 1, 2010 Applying the Perfect Prog lightning prediction method to Ensemble model output....(very) early results.

Lightning Prediction Objectives:  Develop techniques to improve the prediction of all CG lightning (wet or dry thunderstorms)  Apply these techniques using input data from ANY analysis or model forecast (at any grid resolution) gridded data set (i.e., 0 to 3…12 to 15…84 to 87 hours…out to 7.5 days)  Develop techniques to forecast storms with low and high number of CG flashes

Method:  Perfect Prog Forecast (PPF) Technique  Principal Component Analysis (PCA) 1) data compression plus 2) better understanding of physical processes  Lightning climatology 1) for forecasters and 2) input into the PCA  Logistic regression  40 km grid resolution at 3 hour time intervals ( ). 10 km Alaska

Current Perfect Prog CG Forecasts Hourly Gridded input RUC Model input NAM Model input GFS model input

Prediction of CG lightning is only part of the picture. Examples of current CG lightning prediction will be shown The perfect prog method can be applied to total lightning (Binary…0 or 1 for any outcome) Total lightning “training data” would be required

Importance of Total Lightning Locate Lightning strikes known to cause forest fires and reduce response times Predict the onset of Severe Weather Track and warn of approaching lightning threats Forecasting ending of lightning threat Improve airline routing around thunderstorms Provide real-time hazardous weather information

Examples of current CG lightning prediction

Lightning forecast for major dry thunderstorm event…Northern CA June 2008 Source: Mercurynews.com This 2 day event responsible for over 60% of total acres burned in 2008 across California

Probability of 1 or more CG flashes at 40 km resolution (maximum probability from each of the 3 hr forecasts) 24 hour lightning (12 to 12 UTC June 2008) per 40 km grid box –green plotted numbers Perfect Prog Lightning Forecasts (valid 12 to 12 UTC June 2008)

A New Tool for Fire Management Decision Support Forecasts of 10 or more CG flashes SPC working with the Salt Lake City WFO, Eastern Great Basin GACC, and Predictive Services on this experimental project A brief look at their results… Lightning Probability Forecasts and Combined Fuel Dryness

01 July 2008 Lightning probability (10+ CG flashes)Dryness levels, lightning and fires

Major CG flash event UTC 23 June 2008 Forecast well in advance – forecasts normally improve as event nears. (Left figure hr fcst for 1 or more CG flashes. Right figure is forecast for 10 or more CG flashes for same time period UTC) CG flashes in 3 hours 1 or more CG flashes 10 or more

How to apply PPF to SREF data? (and how to get it to run quickly?) 22 ensemble members (including time-lagged NAM model) plus the mean, median and max/min …26 total fields Reduced input set tailored to SREF data…mandatory levels (1000, 850, 700 mb….) (add the mean, median plus max/min of original 22 members… = 30 fields)  New equations for all fields run about as fast as previous single deterministic model.  Early results still undergoing evaluation.

ENSEMBLES (VS DETERMINISTIC MODELS) (example-500 mb height fields) TIME LAGGED NAM MODEL ETA BMJ ETA KF RSM WRF ARW WRF NMM

SREF PPF (preliminary) results A look at the Perfect Prog method applied using SREF data as input. How do you display results? Examples are for forecasts of 1 or more CG flashes from 03 to 06 UTC 25 Nov Two SREF 21 UTC runs…24 hours apart.

CG ltg from 03 to 06 UTC 25 Nov 2010 (contours 1, 3, 10, 30 and 100 or more CG flashes)

30-33 hr 23 Nov 2010 Perfect Prog forecast from 21 UTC (obs ltg-insert box) Red-SREF mean/Green-average of all 22 forecasts Observed ltg

6-9 hr 24 Nov 2010 Perfect Prog forecast from 21 UTC (obs ltg-insert box) Red-SREF mean/Green-average of all 22 forecasts

30-33 hr 23 Nov 2010 Perfect Prog forecast (obs ltg-insert box) Red-SREF median/Green-median of all 22 forecasts

6-9 hr 24 Nov 2010 Perfect Prog forecast (obs ltg-insert box) Red-SREF median/Green-median of all 22 forecasts

30-33 hr 23 Nov 2010 Perfect Prog forecast (obs ltg-insert box) Red-SREF max/Green-max of all 22 forecasts

6-9 hr 24 Nov 2010 Perfect Prog forecast (obs ltg-insert box) Red-SREF max/Green-max of all 22 forecasts

30-33 hr 23 Nov 2010 Perfect Prog forecast (obs ltg-insert box) Red-SREF min/Green-min of all 22 forecasts

6-9 hr 24 Nov 2010 Perfect Prog forecast (obs ltg-insert box) Red-SREF min/Green-min of all 22 forecasts

Forecast using NAM input data (time-lagged deterministic) from 18 UTC 23 Nov 2010 forecast valid same time as ltg

NAM (time-lagged deterministic) from 18 UTC 24 Nov 2010

Summary CG lightning prediction: Current PPF method at SPC uses 1) Hourly Analysis data 2) RUC input 3) NAM 4) GFS –for Alaska PPF method produces forecasts for 1 or more CG flashes, 10 or more, as well as 100 or more….can be tailored to total ltg Newest PPF method - all SREF members and runs about as fast a older deterministic (single) model run

Perfect Prog applied to “Proxy data sets” The perfect prog technique can easily be adapted to proxy data sets* currently existing (and under “development”) and forecasts can be tested and verified. GOES-R era will allow further refining and widespread application of predicting total lightning  …leading to better forecasts and warnings * such as CC (or IC) flash location and Flash Extent Density (FED)

Questions: