Scientific Overview for MLB ANC Demonstration Eric Nelson and Amanda Anderson NCAR-RAL.

Slides:



Advertisements
Similar presentations
Chapter 13 – Weather Analysis and Forecasting
Advertisements

Accessing and Interpreting Web-based Weather Data Clinton Rockey National Weather Service Portland, Oregon.
Stratus. Outline  Formation –Moisture trapped under inversion –Contact layer heating of fog –Fog induced stratus –Lake effect stratus/strato cu  Dissipation.
Mesoscale Convective Vortices (MCVs) Chris Davis (NCAR ESSL/MMM and RAL) Stan Trier (NCAR ESSL/MMM) Boulder, Colorado 60-h Radar Composite Animation (00.
ENHANCEMENTS OF THE NCAR AUTO-NOWCAST SYSTEM BY USING ASAP AND NRL SATELLITE PRODUCTS Huaqing Cai, Rita Roberts, Cindy Mueller and Tom Saxen National Center.
Forecasting convective outbreaks using thermodynamic diagrams. Anthony R. Lupo Atms 4310 / 7310 Lab 10.
Thunderstorm Ingredients ©Oklahoma Climatological Survey EarthStorm 2009.
Stability and Severe Storms AOS 101 Discussion Sections 302 and 303.
Visually Enhanced Composite Charts for Severe Weather Forecasting and Real-time Diagnosis Josh Korotky NWS Pittsburgh PA NROW Annual Meeting 2002.
Danielle M. Kozlowski NASA USRP Intern. Background Motivation Forecasting convective weather is a challenge for operational forecasters Current numerical.
A Compare and Contrast Study of Two Banded Snow Storms Part I – January 6 th, 2002.
S. Hunter Coleman*, Michael Cammarata, Anthony Petrolito NOAA/National Weather Service WFO Columbia, SC * A Significant Hail.
Stability & Skew-T Diagrams
Rapid Update Cycle Model William Sachman and Steven Earle ESC452 - Spring 2006.
. Severe Weather Indices Variables used to ‘summarize’ the potential for Severe Weather formation Evolved over past 60 years Based on long history of severe.
Chapter 13 – Weather Analysis and Forecasting. The National Weather Service The National Weather Service (NWS) is responsible for forecasts several times.
ATOC 6700 Weather Forecasting Discussion. Student Introductions Tell us: – Your name – Your year in ATOC graduate program – The topic of your research.
Second MSC/COMET Winter Weather Course, Boulder, Slantwise Convection: An Operational Approach The Release of Symmetric Instability.
Roll or Arcus Cloud Supercell Thunderstorms.
Determining Favorable Days for Summertime Severe Convection in the Deep South Chad Entremont NWS Jackson, MS.
Corfidi, et al – convection where air parcels originate from a moist absolutely unstable layer above the PBL. Can produce severe hail, damaging.
Data Integration: Assessing the Value and Significance of New Observations and Products John Williams, NCAR Haig Iskenderian, MIT LL NASA Applied Sciences.
Review for Final Exam. Final Exam Tuesday December 17 th, 5pm-7:30pm Room CC301 (this room) 25% of final grade Combination of quick general questions.
Determining Key Predictors for NCAR’s Convective Auto-Nowcast System Using Climatological Analyses Thomas Saxen, Cindy Mueller, and Nancy Rehak National.
A Framework for the Statistical Analysis of Large Radar and Lightning Datasets Timothy J. Lang, Steven A. Rutledge, and Amanda Anderson Colorado State.
Towards an object-oriented assessment of high resolution precipitation forecasts Janice L. Bytheway CIRA Council and Fellows Meeting May 6, 2015.
The NWS/NCAR “Forecaster Over the Loop” Fort Worth Operational Demonstration Human Enhancement of a Thunderstorm Nowcasting System Eric Nelson, Rita Roberts,
Radar in aLMo Assimilation of Radar Information in the Alpine Model of MeteoSwiss Daniel Leuenberger and Andrea Rossa MeteoSwiss.
Christopher J. Schultz 1, Walter A. Petersen 2, Lawrence D. Carey 3* 1 - Department of Atmospheric Science, UAHuntsville, Huntsville, AL 2 – NASA Marshall.
Update on NCAR Auto-Nowcaster Juneau, AK. The Auto-Nowcaster System An expert system which produces short-term (0-1 hr) forecasts of thunderstorm initiation,
NCAR Auto-Nowcaster Convective Weather Group NCAR/RAL.
Henry Fuelberg Pete Saunders Pendleton, Oregon Research Region Map Types and Lightning Frequencies.
A Thunderstorm Nowcasting System for the Beijing 2008 Olympics: A U.S./China Collaboration by James Wilson 1 and Mingxuan Chen 2 1. National Center for.
Soundings and Adiabatic Diagrams for Severe Weather Prediction and Analysis Continued.
The Benefit of Improved GOES Products in the NWS Forecast Offices Greg Mandt National Weather Service Director of the Office of Climate, Water, and Weather.
Materials Adapted from The University of Georgia
T he Man-In-The-Loop (MITL) Nowcast Demonstration: Forecaster Input into a Thunderstorm Nowcasting System R. Roberts, T. Saxen, C. Mueller, E. Nelson,
Nowcasting Trends Past and Future By Jim Wilson NCAR 8 Feb 2011 Geneva Switzerland.
Soundings and Adiabatic Diagrams for Severe Weather Prediction and Analysis.
Tropical Severe Local Storms Nicole Hartford. How do thunderstorms form?  Thunderstorms result from moist warm air that rises due to being less dense.
An Object-Based Approach for Identifying and Evaluating Convective Initiation Forecast Impact and Quality Assessment Section, NOAA/ESRL/GSD.
NOAA-MDL Seminar 7 May 2008 Bob Rabin NOAA/National Severe Storms Lab Norman. OK CIMSS University of Wisconsin-Madison Challenges in Remote Sensing to.
Satellite based instability indices for very short range forecasting of convection Estelle de Coning South African Weather Service Contributions from Marianne.
ASAP In-Flight Icing Research at NCAR J. Haggerty, F. McDonough, J. Black, S. Landolt, C. Wolff, and S. Mueller In collaboration with: P. Minnis and W.
Science Overview of ANC for MDL Visiting Forecasters Eric Nelson and Amanda Anderson NCAR-RAL MDL Training
Recent and Planned Updates to the NCAR Auto-Nowcast (ANC) System Thomas Saxen, Rita Roberts, Huaqing Cai, Eric Nelson, Dan Breed National Center for Atmospheric.
Developers: John Walker, Chris Jewett, John Mecikalski, Lori Schultz Convective Initiation (CI) GOES-R Proxy Algorithm University of Alabama in Huntsville.
Forecasted 700 hPa Low (Blizzard of 2006) The RUC was saying “watch out.” This model is becoming a great short range model for East coast snowstorms (courtesy.
ATOC 6700 Weather Forecasting Discussion. THIS CLASS IS NOT ABOUT WEATHER FORECASTING.
Conditions for Convection The Ingredients Method.
National Convective Weather Forecast (NCWF) Collaborators: C. Mueller, J. Pinto, D. Ahijevych, D. Megenhardt, N. Rehak Stan Trier, NCAR
C. Schultz, W. Petersen, L. Carey GLM Science Meeting 12/01/10.
Matthew Lagor Remote Sensing Stability Indices and Derived Product Imagery from the GOES Sounder
Forecaster-Over-The-Loop Demonstration Forecaster CWSU Auto-nowcaster Rita Roberts 28 November 2007 Goals: Science and Operational Debrief NWS Program.
How to forecast the likelihood of thunderstorms!!!
ASAP Convective Weather Research at NCAR Matthias Steiner and Huaqing Cai Rita Roberts, John Williams, David Ahijevych, Sue Dettling and David Johnson.
ABC’s of weather forecasting NOAA/NATIONAL WEATHER SERVICE WFO BALTIMORE / WASHINGTON OPEN HOUSE – APRIL 30-MAY 1, 2016 RAY MARTIN –– Lead Forecaster.
Investigations of Using TAMDAR Soundings in the NCAR Auto-Nowcaster H. Cai, C. Mueller, E. Nelson, and N. Rehak NCAR/RAL.
60 min Nowcasts 60 min Verification Cold Front Regime
Warm Fronts Mixed Phase Case.
A Compare and Contrast Study of Two Banded Snow Storms
Paper Review Jennie Bukowski ATS APR-2017
Nic Wilson’s M.S.P.M. Research
A-J Punkka Weather Warning Service, FMI
IHOP Convection Initiation And Storm Evolution Studies
Nowcast guidance of afternoon convection initiation for Taiwan
Rita Roberts and Jim Wilson National Center for Atmospheric Research
D. C. Stolz, S. A. Rutledge, J. R. Pierce, S. C. van den Heever 2017
Forecast Verification time!
Forecast Verification time!
Presentation transcript:

Scientific Overview for MLB ANC Demonstration Eric Nelson and Amanda Anderson NCAR-RAL

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Training Topics Overview / Human InteractionOverview / Human Interaction AWIPS ANC ProductsAWIPS ANC Products Fuzzy Logic and MLB CF RegimeFuzzy Logic and MLB CF Regime Performance ConsiderationsPerformance Considerations Lightning TopicsLightning Topics

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. NCAR Auto-Nowcaster Routine (5mins) short-term (0-1hour) forecasts of thunderstorm initiation, growth and decay. Uses fuzzy logic to combine observations, NWP and forecaster input to generate nowcasts. Growth & Decay Initiation Forecasts

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Interaction Boundary Entry Polygon Entry Init Field Nudging Regime Selection Forecaster-Entered Boundaries Moving Boundary

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. HumanInit60 Field (Initiation Final) Fuzzy logic output for likelihood for initiation at 60min. Warmer colors indicate higher likelihoods Values of.7 and higher (salmon/red) interpreted as threshold for storm initiation at 60mins.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. CronusInit60 (Initiation Basic) Differs from HumanInit60 No Nudging or Polygons used Boundary Predictor Fields still included Shows the Init60 field before human edits for comparison Basic Final

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Gandi60 Field (Nowcast Final) Combined Growth/Decay and Initiation likelihood field Blue colors are arbitrary thresholds of initiation likelihood Warm colors are Growth/Decay of existing echoes. Existing echoes been filtered to remove stratoform precipitation

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Verify60 Shows the T-60min forecast valid NOW. Green are Hits (good forecasts) Blue are missed forecast areas Red are incorrect forecast areas

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. VerifyNH60 NH stands for No- Human Validation field for forecasts not including any human interaction No Boundaries, Nudges, or Polygons.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Adjoint Sfc Wind Wind barbs for 250m from VDRAS Derived from background model field and radar data assimilation Other layers available VDRAS – Variational Doppler Radar Assimilation System

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Grow60 – Steering Flow Steering Flow relative to human entered boundary Used to determine whether storms will stay anchored on boundary

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Grow60 MaxDbz Maximum observed reflectivity extrapolated 60mins

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Grow dbz GrowthRate Normalized Area Growth Rate for 35dbz echos (advected)

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Grow60 – 45dbz GrowthRate Normalized Growth Rate for 45dbz echos (advected)

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Fuzzy Logic Fuzzy Logic ingests predictor fields and applies a membership function to the field values to produce individual interest maps. X =

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Fuzzy Logic Each Interest map is then multiplied by a weight X 0.20

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Fuzzy Logic All the weighted interest maps are then summed to produce the Init60 field … =

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Init60

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Regime

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Cape – RUC Most Unstable Cape 975mb- 500mb.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors CIN – Mean CIN between 975mb-900mb

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Frontal Likelihood – Fuzzy logic field that uses RUC convergence, vorticity, and theta-e gradients to identify broad frontal zones.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Relative Humidity – Layer average between 875mb-625mb. Intended to assess mid-level moisture.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors VertSumInterest – A field derived from the RUC that looks for contiguous unstable layers. Interest is weighted based on CIN and wind shear.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Vertical Velocity – RUC 700mb Vertical Velocity.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Boundary Relative Steering Flow – This field assesses the likelihood of storms to remain close to boundary (if they form)

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Max W – Upward motion along human entered boundary computed from VDRAS winds.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Init Locations – Identifies areas along human boundaries close to storms that have initiated that are conducive for additional initiation.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Boundary Collisions – Identifies areas of interest that are swept out by two intersecting boundaries.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Satellite Clear – Adds large negative interest to areas detected as having no cloud present. No positive interest from this field.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Satellite Cu – Satellite detection of Cu and CuCongestus. Only positive interest from this field.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors IR-ROC – Infrared cloud top temperature rate of change, masked to Cu/CuCongestus detection areas.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Lifted Index – Computed from current sfc obs and RUC soundings.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Predictors Sfc Convergence – Objectively analyzed sfc mass convergence using standard metars and other mesonet obs.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Cold Front Regime Predictor Weights Highest possible init interest without human entered boundary is 1.29 Highest interest with boundary is 1.77 FL-CFwgtHNH CAPE0.2 Frontal Likelihood0.2 VertSum0.14 RH0.14 CIN VV0.12 Boundary Shear* Max W* InitLocations* Bdry Collision* Sat Clear0.400 Sat Cu0.14 IR-ROC0.14 Lifted Index Convergence0.15 Total Interest Possible

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Performance Considerations and Expectations 7 predictor fields are dependant on RUC data 4 predictors are associated with human entered boundaries 3 predictor fields are based on the NRL Cloud Classification algorithm Missing any of the 3 datasets above will compromise the ANC’s ability to produce good nowcasts for initiation

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Human Added Value Since the Initiation and Nowcast fields are products for external users, the nudge and polygons can compensate for missing or bad data

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Which to use? Nudging can be used when the shape of the field is ok, but values are too low or too high Polygons are best for addressing localized deficiencies in the Initiation field

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Performance Considerations and Expectations Forecasters should not expect to see initiation areas entirely overlap existing convection. Gandi60 product shows the complete nowcast and verify60 shows the T-60min forecast validation.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Performance Considerations and Expectations The ANC traditionally does well with convection forced along convergence boundaries Unfortunately, not all convection is so well behaved.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Elevated Convection Elevated convection presents challenges Displaced from sfc boundary locations Often unclear Cu signatures, sometimes obscurred by higher cloud Large CIN often present in near sfc parcels Cape may be marginal compared to sfc based scenarios

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Nocturnal Convection Satellite cloud detection algorithms not as effective. Instability less than daytime, lower interest. Near sfc CIN often high. Parcels may or may not be surface based Contributing features (eg, low level jet) not accounted for in ANC regimes.

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Elevated Example

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Init60

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. CAPE/CIN Interest CAPE (MU H9-H7) CIN (Mean mb)

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Frontal Likelihood and SatCu

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. LI and RH Mean SFC Obs Based w/ RUC profile

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Vertical Distribution of CAPE

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. LI negated CAPE interest Both predictor fields are weighted 0.20

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved.

Is this a Good Forecast?

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Given what was observed?

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Good Qualitatively or Statistically?

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. We Want Your Feedback! If the forecast is good, tell us! Everyone loves a compliment! If the forecast is bad, tell us! You won’t hurt my feelings! If you have quick questions, use the comment box! Feedback comments will often get a rapid response via or a phone call to the WFO!

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Utilizes local WSR-88D radar data to monitor reflectivity above the freezing level  30 dBZ echo vol. above -10C  Volume Growth Rate  Max. reflectivity  Echo Top Outputs elliptical markers to highlight storms capable of producing CG lightning in very near term Lead times typically in the 5 to 15 minute range 80% POD, 18% FAR Lightning Potential Product Saxon et al. 2002, 2008 WSMR Lightning Potential

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. WSMR Lightning Potential Product is fuzzy logic based

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Example Reflectivity LtgPotential Likelihood

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Lightning Alert Circles: Example

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. LMA Data Investigation for G/D In Progress… 2D Sources 2D Sources Rate of Change Flashes Flash Rate of Change Yet to examined… Flash Extent Max Flash Height Rate of Change

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Wrapping Up! The ANC produces Nowcasts for convection with inputs from YOU! ANC output should be view as products for an end user, not as a tool for NWS forecasters Fuzzy Logic is a great techinique, but it is only as strong as the predictors that go in We are counting on feedback from the WFO to help us make the ANC better Lightning Potential Algorithm will be transferred to MDL for inclusion in the MLB demonstration

UCAR Confidential and Proprietary. © 2008, University Corporation for Atmospheric Research. All rights reserved. Questions / Follow Up Discussion