CAE Warning Related Challenges Mike Cammarata SOO NWS Columbia, SC.

Slides:



Advertisements
Similar presentations
The use of Doppler radar products for nowcasting tornadoes DWD workshop on tornado forecasting, February 24th 2005, Langen 1. introduction 2. products.
Advertisements

NEXRAD or WSR-88D [Next Generation Radar] [Weather Surveillance Radar, 1988, Doppler]
Chapter 5: Storm Chasing (MetEd, Into the Storm) Chapter 6: Lightning, Thunder, Tornados Chapter 7: Tropical Storms & Hurricanes Mr. Hartwell UNIT B –
Echo Tops Fairly accurate at depicting height of storm tops Inaccurate data close to radar because there is no beam angle high enough to see tops. Often.
Clear air echoes (few small insects) -12 dBZ. Echoes in clear air from insects Common is summer. Watch for echoes to expand area as sun sets and insects.
PLRB Catastrophe Services Andrew Louchios Geologist - Geospatial Specialist PLRB Catastrophe Peter Balingit Meteorologist,
AWIPS Radar Detection and Warning Strategies Using Multiple Workspaces Josh Korotky NOAA/National Weather Service, Pittsburgh PA.
Stability and Severe Storms AOS 101 Discussion Sections 302 and 303.
Global Security. OVERVIEW Discoverii represents day/night vision technology platform that combines an innovative, near infra-red, continuous-wave laser.
More Thunderstorms. Today Homework in Wind shear More multicellular storms.
QUANTITATIVE APPLICATIONS OF BROADCAST MEDIA WEATHER RADAR DATA Neil I. Fox Department of Atmospheric Science University of Missouri-Columbia Columbia,
Gunnar Misund1 REAL TIME MANAGEMENT OF MASSIVE 2D DATASETS Gunnar Misund.
Part 4. Disturbances Chapter 11 Lightning, Thunder, and Tornadoes.
Supercell Tornadoes, Non- Supercell Tornadoes, and Gustnadoes.
Chapter 23 Computerised accounting systems
Flooding is deceptively deadly, especially Flash Flooding.
Task 3 Institutional Incentives for Efficient Water Use.
Brent MacAloney Storm Data Program Manager Performance and Evaluation Branch Tuesday June 2 nd, 2015.
The National Severe Storms Laboratory Jeff Kimpel, Director NSSL NOAA Science Advisory Board Norman, Oklahoma November 5, 2002.
GV-Control Center Overview
IntelliTrack ® WMS An Overview and Approach Powerful, Full Featured, Affordable.
B08 Project November 2009 Incheon, Republic of Korea The Beijing 08 Forecast Demonstration Project and Urban Prediction Needs in China LIANG Feng and WANG.
GIS Activities at NWS Norman with a Focus on the May 2013 Tornadoes Aaron Anderson Information Technology Officer NWS Norman Forecast Office.
High Resolution Radar Imagery In AWIPS David L. Andra, Jr. WFO Norman, Oklahoma.
Integration of Multiple Precipitation Estimates for Flash Flood Forecasting Reggina Cabrera NOAA/National Weather Service.
1. There are different assistant software tools and methods that help in managing the network in different things such as: 1. Special management programs.
 The ability to develop step by step procedures for solving problems  She uses algorithmic thinking by setting up her charts.
Severe Weather Forecasting Tools in the Ninjo Workstation Paul Joe 1, Hans-Joachim Koppert 2, Dirk Heizenreder 2 Bernd Erbshaeusser 2, Wolfgang. Raatz.
A Military Logistics and Transportation Security Application.
Principles of Flash Flood Development: An Introduction to Hydrometeorology Anthony Phillips GEOG 490/590 Ball State University  Hazards associated with.
Principles of Information Systems, Sixth Edition Systems Design, Implementation, Maintenance, and Review Chapter 13.
Decision Support Services (DSS) What is this about? NWS Future Direction - Improving forecaster-provided interpretive services for decision makers (Jack.
1. HAZARDS  Wind shear  Turbulence  Icing  Lightning  Hail 3.
IdentiTrip 2006 Our Skills Making your Job Easier.
WR Societal Impacts Meteorologist Darone K. Jones.
NWS FLDWAV ANALYSIS TOOL
Thunderstorms and Tornadoes Last Lecture: We looked at severe weather events in the lower latitudes Principal weather event is the formation and movement.
EFFECTIVELY INTEGRATING SUPPORT TOOLS, MULTIMEDIA AND HYPERMEDIA INTO TEACHING AND LEARNING.
1 Flash Floods: Defining and Forecasting Matt Kelsch COMAP Symposium 02-1, 02-2 Heavy Precip/Flash Flood October 2001 Fort Collins,
Principles of Information Systems, Sixth Edition Systems Design, Implementation, Maintenance, and Review Chapter 13.
The IEM-KCCI-NWS Partnership: Working Together to Save Lives and Increase Weather Data Distribution.
MIT Lincoln Laboratory RGH 4/9/01 Hurricane Conf Road Weather Management Workshop April 9, 2001 Robert G. Hallowell MIT Lincoln Laboratory Aviation Sensors.
TOP CWA Golf Ball Size Hail Study Bill Gargan WFO TOP, KS.
NWS St. Louis Decision Support Workshop Watch, Warning, and Advisory Products and Criteria.
Weather Predicting Weather forecasting is a prediction of what the weather will be like in an hour, tomorrow, or next week. Weather forecasting involves.
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.
Flash Flood A rapid and extreme flow of high water into a normally dry area, or a rapid water level rise in a stream or creek above a predetermined flood.
Project Atmosphere American Meteorological Society Weather series: Thunderstorms.
Tropical Severe Local Storms Nicole Hartford. How do thunderstorms form?  Thunderstorms result from moist warm air that rises due to being less dense.
Flash Flood Monitoring and Prediction Current Operational Capabilities, Issues and Perspectives Britt Westergard, Service Hydrologist WFO Jackson, KY Q2.
DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4.
Story from Topeka George Phillips Science and Operations Officer NWS – Topeka KS.
Principles of Information Systems, Sixth Edition 1 Systems Design, Implementation, Maintenance, and Review Chapter 13.
1 Flash Floods: Relationship Between Basins and Precipitation Matt Kelsch 10 September 2002 I-80 washout near Ogallala, NE 6 July.
The relationship between Science and DSS in the NWS – issues and discussion Mike Evans WFO Binghamton, NY.
Jennifer Belge And Mike Baker ESC 452 4/20/06
1 National Weather Service Response to Partner Issues Eli Jacks, Chief Fire and Public Weather Services Branch 1) Intended Use of “Tornado Emergency” 2)
“Real data OSSE” EnKF analysis of storm from 6 June 2000 (STEPS) Assimilated observed radar reflectivity and radial velocity. Activated electrification.
Lecture 8 (10/28) METR 1111 Radars. Radar & its History RADAR is an acronym Stands for RAdio Detecting And Ranging In 1930’s, radar used to monitor shipping.
Evaluation of CASA (and other gap-filling) Radars Severe Weather Workshop for NWS Warning Decision Making - 11 July 2007 Kurt Hondl DOC/NOAA/OAR National.
River Mechanics Activities River Mechanics Group Hydrology Laboratory Office of Hydrologic Development National Weather Service National Oceanic and Atmospheric.
24 March Central Iowa NWA Severe Storms Conference Iowa Environmental Mesonet: Supporting the real-time and research needs of the national severe.
Overview of CBRFC Flood Operations Arizona WFOs – May 19, 2011 Kevin Werner, SCH.
Jonathan Brazzell San Angelo TX.  What we currently have works well.  Wind events from broken lines and brief tornadoes remain the biggest challenges.
NIMAC for Accessible Media Producers: February 2013 NIMAC 2.0 for AMPs.
Operational Use of Lightning Mapping Array Data Fifth Meeting of the Science Advisory Committee November, 2009 Geoffrey Stano, Dennis Buechler, and.
Radar Interpretation Chad Entremont National Weather Service Jackson, MS.
WATER RESOURCES DEPARTMENT
Outdoor alerting system
Project Atmosphere American Meteorological Society
Presentation transcript:

CAE Warning Related Challenges Mike Cammarata SOO NWS Columbia, SC

Severe Weather Challenges ► TS Tornadoes ► Pulse Storms ► Squall Lines (downbursts, tornadoes)

TS Tornadoes ► Biggest Tornado outbreaks associated with TS’s ► Mini-supercells ► Low LFC ► Vr of kts produce tornadoes ► Lower scans important ► Rapid scans important ► High resolution velocity data important ► Algorithms important

Pulse Storms ► Can be daily occurrence in June/July ► Analysis of Storm cores (cross-sections, all tilts etc.) ► Severe Thresholds can change on a daily basis as the sounding changes ► Adjacent radars very important

Squall Lines ► Downbursts (MARC, RIJ) ► Tornadoes along gust front and comma head ► Tornadoes can form and dissipate between scans (rapid scans, low elevations, high resolution velocity data important)

Current Needs ► GIS ► Ground Truth Software System ► Enhanced networking of radar system ► No edit Warning Software ► Enhanced Visualization Capability ► Continue improving Algorithms ► Training (retention) is becoming a challenge ► Easy/Transparent/Auto Archiving

GIS ► Comprehensive integration of GIS capabilities into data display (street and building level)  Heavy Rainfall over steep urban topography  Tornado heading for School  Excessive precipitation over basin where small dam is located  Frequent lightning over State Park ► Current practice includes looking at separate maps and calling up mapping software on a PC

GIS ► Comprehensive Integration of GIS into Ground Truth Software System  Retrospectively in near real time look at where severe weather signatures passed and display ground truth sources and phone numbers (e.g., spotters, businesses) ► Combined with communications, logging and product formatting capabilities will greatly expedite the collection of ground truth for Warning Decision making, verification, and storm reports (LSR’s, PNS, etc.)

GIS ► Integration of GIS into Warning Software  Used in storm location section  Used in locations in the warned area section ► Current warning software system does not do an acceptable job with these sections of the warning ….. often requires considerable editing

Ground Truth Software System ► Stand alone software system like D2D, GFE ► Integrates radar data, GIS, communications, logging, and product formatting  E.g., Display GIS data over which a high reflectivity core has passed that facilitates calls to sources of ground truth, automatically logs many of the details of the call, provides and efficient interface for manually logging the report and provides for quick generation of an LSR. ► Current practice for obtaining and logging ground truth is too fragmented, labor intensive, and time consuming

Enhanced Networking of Radar System ► Data display from multiple radars ► Capability for synchronized scans ► Compositing capabilities ► Include TDWR’s and other radars

No Edit Warning Software ► Warning software should be click and go with virtually never a need to edit ► GIS feeds “locations in the warned area include…” and “…current location of the storm…” ► Currently too much editing is required and consequently lead time lost

The Training Challenge ► The sheer volume of things to keep current on and the pace at which things are changing make training and retention a major challenge (software, hardware, security, safety, science, policy etc.) ► This is an organizational issue ► Manage change as a resource. Holistic approach.

Enhanced Visualization Capability

► Easier to get at multi-dimensional data displays with ability to integrate non-radar data sources (e.g., thermal profile/Wet Bulb profile) ► Enhanced Cross-section capability ( 4-D Storm Cell Investigator)