Drivers Influencing Weather-related NAS Metrics

Slides:



Advertisements
Similar presentations
Verification of Probabilistic Forecast J.P. Céron – Direction de la Climatologie S. Mason - IRI.
Advertisements

ECMWF Slide 1Met Op training course – Reading, March 2004 Forecast verification: probabilistic aspects Anna Ghelli, ECMWF.
Canadian Aviation Forecast Verification
The Evolution of NWS Aviation Weather Services in Chicago Mike Bardou National Weather Service Chicago The views expressed in this presentation are those.
Quantification of Spatially Distributed Errors of Precipitation Rates and Types from the TRMM Precipitation Radar 2A25 (the latest successive V6 and V7)
Validation of Satellite Precipitation Estimates for Weather and Hydrological Applications Beth Ebert BMRC, Melbourne, Australia 3 rd IPWG Workshop / 3.
NWS TAF Verification Brandi Richardson NWS Shreveport, LA.
1 Verification Introduction Holly C. Hartmann Department of Hydrology and Water Resources University of Arizona RFC Verification Workshop,
Lead Time Aviation Verification Onset and Cessation of Ceiling and Visibility Flight Category Conditions (IFR, MVFR, VFR) at FAA Core Airports NWS Aviation.
HFIP Regional Ensemble Call Audio = Passcode = # 16 September UTC.
Evaluation of Potential Performance Measures for the Advanced Hydrologic Prediction Service Gary A. Wick NOAA Environmental Technology Laboratory On Rotational.
FAA Stated Requirements “ The goal is to substantially improve the capabilities for delivery of aviation weather information and to transform the current.
Weather Technology in the Cockpit (WTIC) - Uncertainty/Probabilistic Information in the Cockpit Projects July 21, 2014 Gary Pokodner 1 Friends and Partners.
Weather Satellite Data in FAA Operations Randy Bass Aviation Weather Research Program Aviation Weather Division NextGen Organization Federal Aviation Administration.
Verification has been undertaken for the 3 month Summer period (30/05/12 – 06/09/12) using forecasts and observations at all 205 UK civil and defence aerodromes.
PRACTICAL TAF WRITING Karen Oudeman NWS – Jackson, KY October 16, 2003.
AVIATION VERIFICATION NWS KEY WEST 2005 Bill South Aviation Program Leader.
1 How Are We Doing? A Verification Briefing for the SAWS III Workshop April 23, 2010 Chuck Kluepfel National Weather Service Headquarters Silver Spring,
1 Verification of nowcasts and very short range forecasts Beth Ebert BMRC, Australia WWRP Int'l Symposium on Nowcasting and Very Short Range Forecasting,
Cross-cutting Issues Impacting Operational ATM and Cockpit Usability of Aviation Weather Technology John McCarthy Sherrie Callon Nick Stoer.
MIT ICAT MIT ICAT. MIT ICAT MIT ICAT Motivation Adverse Weather Significantly Impacts Flight Operations Safety % All US Accidents Efficiency --
MIT ICAT MIT ICAT D ECISION- S UPPORT FOR E NHANCING A VIATION W EATHER I NFORMATION S YSTEMS AND S AFETY.
Ryan Kardell WFO Springfield.  Purpose of the Database  Data Sources  User Guide  Formulas Used for Scoring.
The Chicago Aviation Initiative: More Than Meets The Eye A basis for improving customer service Mike Bardou Senior Forecaster/Aviation Program Leader National.
Event-based Verification and Evaluation of NWS Gridded Products: The EVENT Tool Missy Petty Forecast Impact and Quality Assessment Section NOAA/ESRL/GSD.
A Preliminary Verification of the National Hurricane Center’s Tropical Cyclone Wind Probability Forecast Product Jackie Shafer Scitor Corporation Florida.
Presented to: By: Date: Federal Aviation Administration OPERATIONAL SUITABILITY EVALUATIONS Weather-in-the-Cockpit Workshop Robert Ruiz, AFS-430 August.
Ray Moy December 01, 2010 Federal Aviation Administration Research, Requirements and Transition.
Latest results in verification over Poland Katarzyna Starosta, Joanna Linkowska Institute of Meteorology and Water Management, Warsaw 9th COSMO General.
HEMS Weather Summit – 21 March The Outlook for National-Scale Ceiling and Visibility Products Paul Herzegh Lead, FAA/AWRP National C&V Team.
Gregg Waller. Our Involvement… Volunteered to be an test site – installed under ATAN… Ran Apr 2007 national statistics with old verification system Installed.
The Evolution of NWS Aviation Weather Services in Chicago Mike Bardou National Weather Service Chicago.
Refinement and Evaluation of Automated High-Resolution Ensemble-Based Hazard Detection Guidance Tools for Transition to NWS Operations Kick off JNTP project.
ITSC/University of Alabama in Huntsville ADaM version 4.0 (Eagle) Tutorial Information Technology and Systems Center University of Alabama in Huntsville.
© 2009 UCAR. All rights reserved. ATEC-4DWX IPR, 21−22 April 2009 National Security Applications Program Research Applications Laboratory Ensemble-4DWX.
How to detect the change of model for fitting. 2 dimensional polynomial 3 dimensional polynomial Prepare for simple model (for example, 2D polynomial.
Opportunities for Satellite Observations in Validation and Assessment Barbara Brown NCAR/RAL 19 November 2008.
Gridded warning verification Harold E. Brooks NOAA/National Severe Storms Laboratory Norman, Oklahoma
National Weather Service Eastern Region Activities Fred McMullen Regional Aviation Meteorologist Eastern Region Headquarters.
1 CWSU Near-term Improvement Program. 2 Objective Low-cost improvements at CWSUs which will noticeably improve quality of support provided to FAA ARTCCs.
On the Verification of Particulate Matter Simulated by the NOAA-EPA Air Quality Forecast System Ho-Chun Huang 1, Pius Lee 1, Binbin Zhou 1, Jian Zeng 6,
Data Analysis of GPM Constellation Satellites-IMERG and ERA-Interim Precipitation Products over West of Iran Ehsan Sharifi 1, Reinhold Steinacker 1, and.
User-Focused Verification Barbara Brown* NCAR July 2006
Centro Nazionale di Meteorologia e Climatologia Aeronautica Common Verification Suite Zurich, Sep 2005 Alessandro GALLIANI, Patrizio EMILIANI, Adriano.
RUC Convective Probability Forecasts using Ensembles and Hourly Assimilation Steve Weygandt Stan Benjamin Forecast Systems Laboratory NOAA.
Evaluation of Precipitation from Weather Prediction Models, Satellites and Radars Charles Lin Department of Atmospheric and Oceanic Sciences McGill University,
Uncertainty cones deduced from an ensemble prediction system
Multi-scale validation of high resolution precipitation products
Airmanship or Temple of “Doom” ? Airmanship.
Verifying and interpreting ensemble products
COSMO Priority Project ”Quantitative Precipitation Forecasts”
Zhong Liu1,2, Dana Ostrenga1,3, William Teng1,4, and Steven Kempler1
Cockpit Weather Friends and Partners of Aviation Weather
Air Quality Forecast Verification (AFQx)
Binary Forecasts and Observations
National Weather Service
Verification of nowcasting products: Issues and methods
Analysis of NASA GPM Early 30-minute Run in Comparison to Walnut Gulch Experimental Watershed Rain Data Adolfo Herrera April Arizona Space Grant.
Probabilistic forecasts
Performance Significant Improvements to the Terminal Aerodrome Forecast due in-part to training and better tools for the forecasters Low ceiling and visibility.
Quantitative verification of cloud fraction forecasts
New Developments in Aviation Forecast Guidance from the RUC
Hydrologically Relevant Error Metrics for PEHRPP
The FAA Aviation Weather Research Program’s
Using Probabilistic Data for Strategic Traffic Flow Management "How Humans Deal with Uncertainty" July 21, 2014 John Huhn (MITRE CAASD) Brian Campos(FAA.
Progress in Ground-Based Dissemination/Display
Quality Assessment Activities
Verification of SPE Probability Forecasts at SEPC
Human Performance Contributions to Safety in Commercial Aviation
Short Range Ensemble Prediction System Verification over Greece
Presentation transcript:

Drivers Influencing Weather-related NAS Metrics Randy Bass FAA – Aviation Weather Research Program August 2, 2016

Weather Data Collection and Analysis Forecast Communication The Weather Support “Process” Feedback Weather Data Collection and Analysis Weather Forecast Forecast Translation Forecast Communication Forecast Reception Operational Decision

Weather Data Collection and Analysis Some Considerations Weather Data Collection and Analysis Weather Forecast Forecast Translation Communication Reception Operational Decision Lack of observations Human factors Interpretation Training Detection Timeliness Experience Accuracy Uncertainty Ops tempo Timeliness of data Latency Different models Temporal scales Human factors Single Authoritative Source Latency of information Different products Spatial scales Machine 2 human Human factors Machine 2 machine Tactical versus strategic Human 2 machine Human 2 human

Weather Metrics Critical Success Index (CSI) Brier Skill Score Probability of Detection (POD) False Alarm Rate (FAR) Bias Relative Operating Characteristic (ROC) curves Root Mean Square Error (RMSE) Equitable Threat Score Weather metrics rarely translate to operational effectiveness and measurements

Other Factors to Consider CWSUs Weather Centers WFOs NAMs Controllers Planners Airlines Pilots Flight Services Commercial Weather Providers Aviation Associations The actors: Non-weather factors: Flight operations Airline consolidations and mergers New/improved/legacy FAA systems Regulations and guidance