Using the SPoRT MET Scripts to Assess the WRF EMS for a Southeast Texas Heavy Rainfall Event Patrick Blood and Lance Wood 19 Z.

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Presentation transcript:

Using the SPoRT MET Scripts to Assess the WRF EMS for a Southeast Texas Heavy Rainfall Event Patrick Blood and Lance Wood 19 Z

SPoRT Model Simulation Matrix Cold Season Heavy Rainfall - WFO Houston Case Study November 8-9, 2011 Andrew Molthan

Variability in Storm Total Precipitation – All Points, All Hours We learned that selecting the appropriate PBL and Microphysics is important

18 April 2009 Synoptic Overview Upper divergence apparent at 300 mb level with SE Texas between two diverging jet streaks. 500 mb low moving over the southern plains with a shortwave trough moving across SE Texas. Deep layer moisture in the lower levels noticed at the 850 and 700 mb levels (PWATS : ~1.55” ( 25 th percentile) ). Pre-existing surface trough over the Houston area with a dry line and cold front approaching from the west.

18 April 2009 Synoptic Overview courtesy of 12 UTC 18 April UTC 19 April mb

18 April 2009 Synoptic Overview courtesy of 12 UTC 18 April UTC 19 April mb

12 UTC 18 April UTC 19 April April 2009 Synoptic Overview courtesy of mb

18 April 2009 Synoptic Overview courtesy of 12 UTC 18 Apr UTC 18 Apr UTC 19 Apr 2009 Surface plot/fronts/pressure

The April 18th 2009 Extreme Rain Event Inland trough provided the convergence / ample inflow ( mb at IAH) 18Z Surface Analysis

L L L L Meso-Low forms and enhances inflow 1829Z1902Z 1930Z1956Z

24 Hour Precipitation Estimate from KHGX

Rainfall Rate Comparisons / Impacts Return Period:10year25year50year100year500year The 18 April event had 9.9 of its 11 inch max of rainfall fall in 6 hours with 6.9 inches in one hour.

The April 18 th 2009 Extreme Rain EventFriendswood Image Courtesy: Galveston Daily News The Strand Image Courtesy: Galveston Daily News

Historical WRF EMS Runs and Assessing with the Model Evaluation Tools (MET) Forecaster Patrick Blood has utilized 3 different model initialization datasets, 6 PBLs, and 8 microphysical schemes to produce 144 model runs to analyze - using v3.4 of the WRF EMS. Using the SPoRT MET scripts v4.1 and the new grib2 capability (courtesy of Brad Zavodsky) to objectively assess the precipitation forecasts. This work is part of Mr. Blood’s MS Thesis work at the University of Houston. He is in the early stages of data analysis.

24 km x 24 km Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class

24 km x 24 km Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class

24 km x 24 km Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class

24 km x 24 km Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class

24 km x 24 km Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class

24 km x 24 km Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class

18-19 Z Z Stage III Precipitation Z Z Z Z

Example of 6 consecutive 1 hour precip. totals from a WRF-EMS run During the critical afternoon period PBL: BouLac Microphysics: WDM 5-class mm Z Z Z Z Z Z > 3 inches

Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class 24 km x 24 km

Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class 24 km x 24 km

Re-Analysis Initialization: C : CFSR PBL Schemes: 1: Yonsei 4: QNSE Microphysical Schemes: 02: Lin 06: WSM 6 Class 08: Thompson 09: Milbrandt-Yau 10: Morrison 13: Stony Brook University 14: WDM 5-Class 16: WDM 6-Class 24 km x 24 km

Early Observations The strongest performers across the three PBLs/spatial-temporal schemes were the Lin, Thompson, WRF Single Moment (WSM) 6 class, and both WRF Double Moment (WDM) 5 and 6 classes. There was a trend to over-forecast 1 inch rainfall amounts (Frequency Bias) in the last couple of hours (Yonsei, QNSE) and under-forecast during the early-mid afternoon heavy rainfall period. The BouLac-WDM 5 class simulation performed well. It placed a 2 to 3 inch bulls-eye over central and southern Galveston County ( Z) a couple of hours behind where 2 to 3 inches were sensed by the radar (20 – 22Z). Acknowledgements: Brad Zavodsky, Jon Case, Jayanthi Srikishen