300 likes | 477 Views
Some Applications of Indices to Forecasting. 12 th Great Divide Workshop, 10/7/2008 Matthew J. Bunkers, SOO Rapid City, SD. Outline. Make note of several “indices” Discuss utility & attributes of indices (+ / -)
E N D
Some Applications of Indices to Forecasting 12th Great Divide Workshop, 10/7/2008 Matthew J. Bunkers, SOO Rapid City, SD
Outline • Make note of several “indices” • Discuss utility & attributes of indices (+ / -) • Show several examples of testing indices for operations – implications for training
A cornucopia of “indices” Lifted Index (LI)* Total Totals (TT) K Index (KI) Showalter Index (SI) Severe Weather Threat (SWEAT) CAP Strength (700 mb LI) Lapse Rate (LR)* Relative Humidity (RH)* * Can be calculated over many different layers/levels/parcels
A cornucopia of “indices” Lifted Index (LI)* Total Totals (TT) K Index (KI) Showalter Index (SI) Severe Weather Threat (SWEAT) CAP Strength (700 mb LI) Lapse Rate (LR)* Relative Humidity (RH)* Lifted Condensation Level (LCL)* Level of Free Convection (LFC)* Equilibrium Level (EL)* Wet Bulb Zero (WBZ) Melting Level (MLT) Warm Cloud Depth (WCD)* Precipitable Water (PW)* Equivalent Potential Temperature (e)* Moisture Flux “Convergence” (MFC)* *Can be calculated over many different layers/levels/parcels
A cornucopia of “indices” Convective Available Potential Energy (CAPE)* Lifted Index (LI)* Total Totals (TT) Convective Inhibition (CIN)* K Index (KI) Bulk Richardson Number (BRN)* Showalter Index (SI) Bulk Richardson Number Shear (BRNSHR) Severe Weather Threat (SWEAT) Bulk Vertical Wind Shear* CAP Strength (700 mb LI) Total Vertical Wind Shear* Lapse Rate (LR)* Storm-Relative Wind* Storm-Relative Helicity (SRH)* Relative Humidity (RH)* Downdraft CAPE (DCAPE) Lifted Condensation Level (LCL)* Normalized CAPE (nCAPE)* Level of Free Convection (LFC)* Equilibrium Level (EL)* Wet Bulb Zero (WBZ) Melting Level (MLT) Warm Cloud Depth (WCD)* Precipitable Water (PW)* Equivalent Potential Temperature (e)* Moisture Flux “Convergence” (MFC)* *Can be calculated over many different layers/levels/parcels * Can be calculated over many different layers/levels/parcels
A cornucopia of “indices” Convective Available Potential Energy (CAPE)* Lifted Index (LI)* Total Totals (TT) Convective Inhibition (CIN)* K Index (KI) Bulk Richardson Number (BRN)* Showalter Index (SI) Bulk Richardson Number Shear (BRNSHR) Severe Weather Threat (SWEAT) Bulk Vertical Wind Shear* CAP Strength (700 mb LI) Total Vertical Wind Shear* Lapse Rate (LR)* Storm-Relative Wind* Storm-Relative Helicity (SRH)* Relative Humidity (RH)* Downdraft CAPE (DCAPE) Lifted Condensation Level (LCL)* Normalized CAPE (nCAPE)* Level of Free Convection (LFC)* Equilibrium Level (EL)* Wind Index (WINDEX) Wet Bulb Zero (WBZ) Dry Microburst Index (DMI) Melting Level (MLT) Theta-E Index (TEI) Warm Cloud Depth (WCD)* Microburst Day Potential Index (MDPI) Precipitable Water (PW)* Wet Microburst Severity Index (WMSI) Equivalent Potential Temperature (e)* Moisture Flux “Convergence” (MFC)* *Can be calculated over many different layers/levels/parcels * Can be calculated over many different layers/levels/parcels
A cornucopia of “indices” Convective Available Potential Energy (CAPE)* Lifted Index (LI)* Total Totals (TT) Convective Inhibition (CIN)* HI = Haines Index* HMI = Hybrid Microburst Index K Index (KI) Bulk Richardson Number (BRN)* LSI = Lid Strength Index DCI = Deep Convective Index Showalter Index (SI) Bulk Richardson Number Shear (BRNSHR) TQ Index = for “low-topped instability” Severe Weather Threat (SWEAT) Bulk Vertical Wind Shear* CAP Strength (700 mb LI) Total Vertical Wind Shear* Lapse Rate (LR)* Storm-Relative Wind* Storm-Relative Helicity (SRH)* Relative Humidity (RH)* Downdraft CAPE (DCAPE) Lifted Condensation Level (LCL)* Normalized CAPE (nCAPE)* Level of Free Convection (LFC)* Equilibrium Level (EL)* Wind Index (WINDEX) Wet Bulb Zero (WBZ) Dry Microburst Index (DMI) Melting Level (MLT) Theta-E Index (TEI) Warm Cloud Depth (WCD)* Microburst Day Potential Index (MDPI) Precipitable Water (PW)* Wet Microburst Severity Index (WMSI) Equivalent Potential Temperature (e)* Moisture Flux “Convergence” (MFC)* * Can be calculated over many different layers/levels/parcels
A cornucopia of “indices” Convective Available Potential Energy (CAPE)* Lifted Index (LI)* Total Totals (TT) Convective Inhibition (CIN)* HI = Haines Index* HMI = Hybrid Microburst Index K Index (KI) Bulk Richardson Number (BRN)* LSI = Lid Strength Index DCI = Deep Convective Index Showalter Index (SI) Bulk Richardson Number Shear (BRNSHR) TQ Index = for “low-topped instability” Severe Weather Threat (SWEAT) Bulk Vertical Wind Shear* CAP Strength (700 mb LI) Total Vertical Wind Shear* Indices of Indices (“Inbreeding”) Lapse Rate (LR)* Storm-Relative Wind* Energy-Helicity Index (EHI)* Storm-Relative Helicity (SRH)* Relative Humidity (RH)* Vorticity Generation Parameter (VGP)* Downdraft CAPE (DCAPE) Supercell Composite Parameter (SCP)* Lifted Condensation Level (LCL)* Normalized CAPE (nCAPE)* Significant Tornado Parameter (STP)* Level of Free Convection (LFC)* Significant Hail Parameter (SHIP) Equilibrium Level (EL)* Wind Index (WINDEX) Significant Severe Parameter (SSP) Wet Bulb Zero (WBZ) Dry Microburst Index (DMI) Strong Tornado Parameter (STP) Melting Level (MLT) Theta-E Index (TEI) Warm Cloud Depth (WCD)* Microburst Day Potential Index (MDPI) Precipitable Water (PW)* Wet Microburst Severity Index (WMSI) Equivalent Potential Temperature (e)* Moisture Flux “Convergence” (MFC)* * Can be calculated over many different layers/levels/parcels
A cornucopia of “indices” Convective Available Potential Energy (CAPE)* Lifted Index (LI)* Total Totals (TT) Convective Inhibition (CIN)* HI = Haines Index* HMI = Hybrid Microburst Index K Index (KI) Bulk Richardson Number (BRN)* LSI = Lid Strength Index DCI = Deep Convective Index Showalter Index (SI) Bulk Richardson Number Shear (BRNSHR) TQ Index = for “low-topped instability” Severe Weather Threat (SWEAT) Bulk Vertical Wind Shear* CAP Strength (700 mb LI) Total Vertical Wind Shear* Indices of Indices (“Inbreeding”) Lapse Rate (LR)* Storm-Relative Wind* Energy-Helicity Index (EHI)* Storm-Relative Helicity (SRH)* Relative Humidity (RH)* Vorticity Generation Parameter (VGP)* Vorticity Generation Parameter (VGP)* Downdraft CAPE (DCAPE) Supercell Composite Parameter (SCP) Supercell Composite Parameter (SCP)* Lifted Condensation Level (LCL)* Normalized CAPE (nCAPE)* Significant Tornado Parameter (STP)* Level of Free Convection (LFC)* Significant Hail Parameter (SHIP) Equilibrium Level (EL)* Wind Index (WINDEX) Significant Severe Parameter (SSP) Wet Bulb Zero (WBZ) Dry Microburst Index (DMI) Strong Tornado Parameter (STP) Melting Level (MLT) Theta-E Index (TEI) Warm Cloud Depth (WCD)* Microburst Day Potential Index (MDPI) Precipitable Water (PW)* Wet Microburst Severity Index (WMSI) Equivalent Potential Temperature (e)* Mesoscale Convective System Forecast Index (MCS Index) a recent index published in WAF (2007) Moisture Flux “Convergence” (MFC)* This list is not nearly exhaustive! *Can be calculated over many different layers/levels/parcels
Outline • Make note of several “indices” • Discuss utility & attributes of indices (+ / -) • Show several examples of testing indices for operations – implications for training
Attributes of indices • Doswell and Schultz (2006) • “On the Use of Indices and Parameters in Forecasting Severe Storms” • Electronic Journal of Severe Storms Meteorology • http://www.ejssm.org/
Benefits of indices • Can summarize large amounts of data • Can quickly draw attention to “critical” areas for further diagnosis • Both are attractive when under time pressure
Index limitations • Not necessarily forecast parameters; may be diagnostic (e.g., SPC meso page) • Diagnostic variables give current state(≠ /t), where = STP, SCP, CAPE, etc. • Most indices are not rigorously developed or validated – arbitrarily combined variables
Index limitations • Can lead to faulty perceptions of atmosphere via over-simplification • Little value in isolation; different combos can produce similar values • Flavor of the parameter? (e.g., EHI and its inputs) • Constituents can evolve quasi-independently • Action often occurs at “The Edge” – next three slides
The Edge: 20 Jun 2006 – Rushville, NE Tornadic left-moving supercell LSCP (1-EF1)
The Edge: 28 Feb 2007 – Eastern KS (1-EF4) Important to train new forecasters not to focus on bulls-eyes.
Outline • Make note of several “indices” • Discuss utility & attributes of indices (+ / -) • Show several examples of testing indices for operations – implications for training
The STP index • Thompson et al. (2003, WAF) • Significant Tornado Parameter (STP) • Mean-layer CAPE (MLCAPE, lowest 100mb) • 0-6km shear vector magnitude (SHR6) • 0-1km storm-relative helicity (SRH1) • Mean layer LCL (MLLCL, lowest 100mb)
Let’s test this • Estimate valid ranges and calculate each term • For example: MLCAPE ~ 100 to 5000 J kg-1 • Term 1 thus ranges from 0.1 to 5 • (100/1000) = 0.1 • (5000/1000) = 5
Versions of the STP If you use them, know your indices!
Outline • Make note of several “indices” • Discuss utility & attributes of indices (+ / -) • Show several examples of testing indices for operations – implications for training
Example of coord system sensitivity • SWEAT Index (SW): 27-28 May 2001 OK case • SW = 331 • What if 850 wspd= 15 kts? (SW = 429) • Now what if wdir 30to left (SW = 331)
Supercell motion example: BUFKIT • Bunkers et al. (2000) • Non-weighted MW for supercell motion, every 500 meters • BUFKIT • Uses ALL data for MW; produces low-level bias • Supercell motion often too slow…so beware of BUFKIT algorithm!
SCM: Excel vs. BUFKIT 275° 28 kts 12-kt difference between the two! …but AWIPS is okay
Summary for indices • Look at the raw data (e.g., surface maps, soundings, 0-1km shear, MLLCL, etc.) • View the indices’ constituent components (e.g., 4-panel mode)…”STP = 2 means what?” • Test new indices before implementing them in operations (e.g., the MCS index) • Folly to develop indices away from operations
One final thought “The author’s most regrettable severe storm forecast mistakes have arisen from ignoring data that were relevant to the daily diagnosis…and/or failing to complete the diagnosis on what initially appeared to be a benign weather day.” – Al Moller (2001, Severe Convective Storms Monograph) • Analysis and diagnosis of observational data is critical – yet this has become a lost art.