• No results found

Weeks 2-4 severe weather project meeting

N/A
N/A
Protected

Academic year: 2022

Share "Weeks 2-4 severe weather project meeting"

Copied!
1
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

Weeks 2-4 severe weather project meeting

Date: 02/09/2018; noon – 1 PM

Attendees: Brad Pugh, Steve Baxter, Alima Diwara, Mike Halpert, Hui Wang, Arun Kumar, Dan Harnos, Matt Rosencrans

Agenda:

noon - 12:25 PM : Hui Wang - Update on Week 3-4 Severe Weather Project 12:25 - 1 PM: Discussion

Notes from the meeting:

 Initial efforts focused on Week 1 and Week 2 forecasts based on GEFS. The analysis completed so far included

o Development of a forecast tool for LSR3 (Local Storm Reports) based on the GEFS prediction of SCP (Supercell Composite Parameter)

o Validation of forecast skill based on GEFS hindcast database

o Ongoing development of a real-time forecast for LSR3 based on 80-member ensemble

 Related to this project there are Policy questions (e.g., who would own the "forecast,"

SPC or CPC; what the messaging should be etc.) and Science questions (what the skill level is and is there a basis for making forecasts; at what threshold value of SCP forecast should be made etc.)

 The GEFS based forecast for severe weather may be more relevant for probabilistic hazard outlook

 A suggestion was made to develop an LSR3 outlook for days 8-10, 10-12 and 12-14. This product can feed into CPC's daily hazard outlook.

 A point was noted that Ashton Cook from SPC is no longer the POC for the CPC efforts related to severe weather outlook.

Actions

 Similar to the LSR3 forecast developed for Week-1 and Week-2 average, develop a GEFS based LSR3 product for days 8-10, 10-12 and 12-14 average. This would require

repeating the analysis done for Week-1 and Week-2 forecasts for LSR3.

Once forecasts (and skill assessments) for LSR3 product for days 8-10, 10-12 and 12-14 average is completed, set up the next discussion meeting.

Referenties

GERELATEERDE DOCUMENTEN

A linear regression model is developed to forecast the number of severe weather (LSR3) using the GEFS predicted SCP as a predictor and based on their relationship depicted in

• Based on discussion involving the potential use of SCP to produce calibrated, probabilistic forecasts, should we try to think of a different methodology. Would that be able to

 Week 1–2 SW forecast based on the statistical relationship between model SCP (GEFS hindcast) and OBS LSR (Local Storm Report), including hail, tornado, and damaging wind. 

It uses the dynamical model (GEFS and CFSv2) predicted SCP as a predictor, and then forecasts severe weather (LSR3) based on the statistical relationship between model SCP

 Cross-validations suggest a low skill for week-2 severe weather using the simple linear regression model at the 0.5 o grid..  The forecast can be improved by using the 5 o ×5 o

A hybrid model is developed to forecast the number of severe weather (LSR3) using the GEFS predicted week-2 SCP as a predictor and based on their relationships depicted in either

A hybrid model is developed to forecast the number of severe weather (LSR3) using the GEFS predicted week-2 SCP as a predictor and based on their relationships depicted in either

Forecast product: LSR3 (weekly total storm reports) LSR3: tornadoes, hail and damaging wind events.. EF1–EF5