SAFESEAS Overview July, 2006 Michael E. Churma Jason Taylor NOAA National Weather Service Office of Science and Technology Meteorological Development Laboratory.

Slides:



Advertisements
Similar presentations
Chapter 13 Weather Forecasting.
Advertisements

Chapter 13 – Weather Analysis and Forecasting
Accessing and Interpreting Web-based Weather Data Clinton Rockey National Weather Service Portland, Oregon.
Gina Loss – Service Hydrologist Dave Bernhardt – Science & Operations Officer Great Falls, Montana.
® Microsoft Office 2010 Excel Tutorial 4: Enhancing a Workbook with Charts and Graphs.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES Improvements to the CO-OPS Storm QuickLook Product for Real-Time Storm Surge Monitoring.
VIIRS Cloud Phase Validation. The VIIRS cloud phase algorithm was validated using a 24-hour period on November 10, Validation was performed using.
Tutorial 5: Working with Excel Tables, PivotTables, and PivotCharts
Hayden Oswald 1 and Andrew Molthan 2 NASA Summer Intern, University of Missouri, Columbia, Missouri 1 NASA SPoRT Center, NASA/MSFC, Huntsville, Alabama.
Satellite Use in the NWS Eastern Region Frank Alsheimer and Jon Jelsema NOAA/National Weather Service Charleston, SC Dave Radell NOAA/National Weather.
Chapter 9: Weather Forecasting Acquisition of weather information Acquisition of weather information Weather forecasting tools Weather forecasting tools.
Demonstration with Inxight Eureka Chaonan Geng ICS280 Spring 2001.
Integrating NDFD with GIS Billy Brooks I.M. Systems Group, Inc. NOAA/NOS/Coastal Services Center NDFD Technical Workshop November 2, 2006.
MOBILE THREAT NET When you need to know whether to go, you need weather to go. Use the single down-arrow on your scroll bar  to advance slides.
New SPOT Program Customer Tutorial. General Purpose/Requirements The purpose of the New Spot Webpage is to build upon the functionality of the existing.
Robert LaPlante NOAA/NWS Cleveland, OH David Schwab Jia Wang NOAA/GLERL Ann Arbor, MI 22 March 2011.
NOAA’s National Weather Service In Green Bay. The National Weather Service is responsible for issuing forecasts and warnings for the protection of life.
NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES National Ocean Service Center for Operational Products and Services (CO-OPS) Enhancements.
March 14, 2006Intl FFF Workshop, Costa Rica Weather Decision Technologies, Inc. Hydro-Meteorological Decision Support System Bill Conway, Vice President.
NWS Jacksonville Web Tour visit us on the web at weather.gov/jax Severe Weatherweather.gov/jax/severe Tropical Weatherweather.gov/jax/tropical Marine Weatherweather.gov/jax/marine.
SCAN SCAN System for Convection Analysis and Nowcasting Operational Use Refresher Tom Filiaggi & Lingyan Xin
Chapter 20.1 Air Masses and Weather. While You Read 20.1 What is an air mass and how does it typically gain its specific characteristics? An air mass.
Chapter 9: Weather Forecasting
1 “The dawn came late and breakfast had to wait When the gales of November came slashing When afternoon came it was freezing rain In the face of a hurricane.
NOAA’s Role in Weather Forecasting and Community Preparedness Decision Support NOAA remains focused on supporting high impact events where weather is a.
McGraw-Hill Career Education© 2008 by the McGraw-Hill Companies, Inc. All Rights Reserved. 3-1 Office Excel 2007 Lab 3 Managing and Analyzing a Workbook.
NOAA’s National Weather Service National Digital Forecast Database: Status Update LeRoy Spayd Chief, Meteorological Services Division Unidata Policy Committee.
Woody Roberts Tom LeFebvre Kevin Manross Paul Schultz Evan Polster Xiangbao Jing ESRL/Global Systems Division Application of RUA/RTMA to AWIPS and the.
By John Metz Warning Coordination Meteorologist WFO Corpus Christi.
© 2009 Bentley Systems, Incorporated Chris Collins D&C Manager Quantities.
Tour of the NANOOS Visualization System (NVS) Sarah Mikulak NANOOS Education Specialist
AWIPS Tracking Point Meteogram Tool Ken Sperow 1,2, Mamoudou Ba 1, and Chris Darden 3 1 NOAA/NWS, Office of Science and Technology, Meteorological Development.
Chapter 9: Weather Forecasting Acquisition of weather information Acquisition of weather information Weather forecasting tools Weather forecasting tools.
Fog Monitor User Training Mike Churma Jason Taylor May 2008.
Weather Forecasting Chapter 9 Dr. Craig Clements SJSU Met 10.
Chapter 3 Creating and Editing Sketched Features.
SAFESEAS Workshop Wednesday, August 04 and Thursday, August National Weather Service Headquarters Silver Spring, Maryland.
Probabilistic Hurricane Storm Surge (P-Surge) Arthur Taylor Meteorological Development Laboratory, National Weather Service January 20, 2008.
XP. Objectives Sort data and filter data Summarize an Excel table Insert subtotals into a range of data Outline buttons to show or hide details Create.
November 18, 2008 Cecilia Miner NWS Aviation Services Branch
Tom LeFebvre GSD/ESRL 20 November What is FDSE? The NWS Weather Ready Nation Roadmap outlines concepts for the future of forecasting in the NWS.
Flash Flood Monitoring and Prediction Current Operational Capabilities, Issues and Perspectives Britt Westergard, Service Hydrologist WFO Jackson, KY Q2.
E M S A E M S A A Prototype Method for Maintaining Weather-Related Situational Awareness within Emergency Operations Centers Peter F. Blottman, Scott M.
100 Metros Analysis User’s Guide Atlanta Regional Commission For more information contact:
Travis Smith Hazardous Weather Forecasts & Warnings Nowcasting Applications.
By: David Gelbendorf, Hila Ben-Moshe Supervisor : Alon Zvirin
New Applications for Forecasters EGOWS 2007 Heleen ter Pelkwijk.
AWIPS DATA VISUALIZATION AND MONITORING SYSTEM FOR OPERATIONAL RECORDS ADVISOR AWIPS DATA VISUALIZATION AND MONITORING SYSTEM FOR OPERATIONAL RECORDS September.
Update on Satellite Proving Ground Activities at the Operations Proving Ground Chad Gravelle GOES-R/JPSS All-Hands Call – 20 Jan 2016.
Giovanni and LOCUS: Innovative Ways for Teachers and Students to Conduct Online Learning and Research with Oceanographic Remote Sensing Data James G. Acker.
Weather Fronts and Storms
DMD Time Height Trend with new graphical display enhancement Start D2D session Select WFO Under Scan menu, select storm DMD Icons & table To view the time.
CWB Midterm Review 2011 Forecast Applications Branch NOAA ESRL/GSD.
Forecast Offices Kelsey Angle, Jeral Estupiñán, Daniel Nietfeld and Jennifer Zeltwanger Operational Forecasting and Broadcasting The Process.
Microsoft ® Excel ® 2013 Enhanced Tutorial 5: Working with Excel Tables, PivotTables, and PivotCharts.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.
Image Processing Algorithms for Identifying the Gulf Oil Spill Mingrui Zhang, Ph.D. Computer Science Department Winona State University.
Tornado Detection Algorithm (TDA) Rapid Update Requirements ORPG Build 5 – AWIPS OB4 Mike Istok NWS/OS&T/SEC NPI Development Manager 30 July 2003.
Excel Chapter 1 Creating a Worksheet and an Embedded Chart
ABC’s of weather forecasting NOAA/NATIONAL WEATHER SERVICE WFO BALTIMORE / WASHINGTON OPEN HOUSE – APRIL 30-MAY 1, 2016 RAY MARTIN –– Lead Forecaster.
Building a User Interface with Forms
Microsoft Excel.
Creating and Formatting Tables
Storm Surge Forecasting Practices, Tools for Emergency Managers, A Probabilistic Storm Surge Model Based on Ensembles and Past Error Distributions.
Be The Weather Guy Presented to UCALL on October 14, 2009
AVHRR operational cloud masks intercomparison
Aiding Severe Weather Forecasting
Chapter 3 Creating and Editing Sketched Features
Chapter 20.1 Air Masses and Weather.
Presentation transcript:

SAFESEAS Overview July, 2006 Michael E. Churma Jason Taylor NOAA National Weather Service Office of Science and Technology Meteorological Development Laboratory Decision Assistance Branch

SAFESEAS Overview l l What is SAFESEAS? l l Background Monitoring l l Table and D-2D Display Features l l Localization l l Customizing SAFESEAS l l The Future of SAFESEAS

SAFESEAS Overview What is SAFESEAS? SAFESEAS is a set of applications in the National Weather Service’s Advanced Weather Interactive Processing System (AWIPS). SAFESEAS continuously monitors marine and adjacent overland conditions for specific marine weather hazards. It automatically alerts NWS forecasters whenever such conditions are detected, and provides interactive graphic user interfaces with which the forecaster can easily investigate the data.

SAFESEAS Overview What is SAFESEAS? Database D-2D SAFESEAS Observations AWIPS Forecaster Marine warnings and advisories

SAFESEAS Overview What is SAFESEAS? SAFESEAS uses the same approach as SCAN – a persistent background monitor coupled with an interactive D-2D display

SAFESEAS Overview Background Monitoring The SAFESEAS Alert button provides configurable, worst- case monitoring, even if SAFESEAS displays are not in use. This is an example of the SCAN monitoring concept.

SAFESEAS Overview Table and D-2D Display Features Interactive Table and D-2D display.

SAFESEAS Overview Table and D-2D Display Features The SAFESEAS Table initially displays the worst-case conditions in each county or zone. Each column can be sorted by value. Selecting a county/zone name will provide information for that area. Letters in the cells aid color-blind forecasters.

SAFESEAS Overview Table and D-2D Display Features The selected area’s observation data points will be displayed. The D-2D map will zoom into the area.

SAFESEAS Overview Table and D-2D Display Features 24-Hour trend graphs are available for most parameters. Color levels correspond to those in the table.

SAFESEAS Overview Table and D-2D Display Features Parameters dependent on multiple values can be represented by a series of trend graphs.

SAFESEAS Overview Table and D-2D Display Features Directional parameter trends are represented by hodographs.

SAFESEAS Overview Table and D-2D Display Features Observation History Table gives trends in tabular form.

SAFESEAS Overview Table and D-2D Display Features SAFESEAS multiload provides a conventional observation display, differentiated in color by station type.

SAFESEAS Overview Localization -- Scope SAFESEAS localization will be centered around each forecast offices County Warning Area. The localization will set up monitoring for the home county warning area, the neighboring County Warning Areas from maritime forecast offices, and the marine zones covered by those forecast offices.

SAFESEAS Overview Customizing SAFESEAS -- Display Thresholds Display Threshold Configuration Tool allows users to customize the levels at which the table parameters change color.

SAFESEAS Overview Customizing SAFESEAS – Monitoring Area l l Add and delete zones and counties. l l Add and delete fixed stations. l l Associate fixed observation stations with zones and counties. SAFESEAS provides a tool for customizing its monitoring area. The forecast office can:

SAFESEAS Overview Customizing SAFESEAS -- Thresholds SAFESEAS provides a tool for customizing the monitor thresholds. Thresholds are zone-specific, and so may be customized for each zone individually.

SAFESEAS Overview Fog Monitor The Fog Monitor uses various algorithms to highlight suspected areas of fog from satellite data. This will be especially helpful in marine zones, where observations are scarce. The first version is being tested for deployment. Point observations will be added in later.

SAFESEAS Overview The Future of SAFESEAS – Fog Monitor The Fog Monitor algorithms will be highly configurable, to allow users to find the best solution for their environment.

SAFESEAS Overview Fog Monitor Mandatory Thresholds Fog Product [T (10.7  m) – T (3.9  m)] Nighttime threshold setting allows user to adjust the Fog Product’s temperature difference range. l l VIS (Normalized Count) Daytime range of normalized brightness values. l l Maximum Cloud Temperature (C) Determines the 10.7  m threshold temperature value which the Fog Monitor uses to decide if it is detecting clouds instead of fog.

SAFESEAS Overview Fog Monitor Optional Thresholds(1) l Daytime Ice/Snow vs. Fog Threshold (C) Takes advantage of strong fog scattering properties at 3.9  m. Helps distinguish bright snowpack from fog. l Cool Fog vs. Warm Surface Threshold (C) Sets a 10.7 micron brightness temperature (best in thick fog layers, where the measured layer top is colder than the ground). l Daytime Smoothness Threshold (%) Finds areas of uniform brightness (helps distinguish fog from mid- level clouds).

SAFESEAS Overview Fog Monitor Optional Thresholds(2) l l Adjacency Threshold Filtering the suspected fog areas by size. Sets minimum size standards to discount spurious bright pixels. l l Twilight Angle (deg) Sets the sun angle for “dawn/dusk” area. l l Fractal Dimension Threshold This is a measure of the “jaggedness” of the edges of the detected area. Useful in identifying linear fog bank boundaries compared to jagged cloud edges (but may also filter dendritic valley/river fog.)

SAFESEAS Overview Fog Monitor in SAFESEAS Because of Fog Monitor’s potential impact on marine fog awareness, its output will be available in the SAFESEAS table.

SAFESEAS Overview Upcoming Enhancements(1) New parameters: Wind Direction, Temperature, Dewpoint, Sea Level Pressure, Sea Surface Temperature, Wave Steepness. Wind Max renamed to “Peak Wind”

SAFESEAS Overview Upcoming Enhancements(2) Resizable Table Instead of having a fixed number of visible zones/counties, the OB7 SAFESEAS table will allow the user to resize it by “dragging”.

SAFESEAS Overview Upcoming Enhancements(3) Attributes Menu Users will be able choose which attributes to display in the SAFESEAS table. This functionality has been adapted from the SCAN table.

SAFESEAS Overview Upcoming Enhancements(4) l Additional SAFESEAS enhancements being tested:  Inclusion of MAROBS in SAFESEAS  Redesigned SAFESEAS configuration GUI l Additional SAFESEAS/Fog Monitor enhancements approved:  Improved cursor sampling in table  Inclusion of gage depth values.  Inclusion of point observations in Fog Monitor (step toward becoming a general visibility monitor).  Implementation of statistical calculations in Fog Monitor  Observed vs forecast value comparisons??

SAFESEAS Overview Future Projects Visibility Fire Weather Rip Currents Blizzards and Ice Storms

SAFESEAS Overview SNOW – SAFESEAS for Winter Weather l System for Nowcasting of Winter Weather.  Using SAFESEAS approach for winter weather problems.  Shut down and removed from D-2D menu with a few quick steps!

SAFESEAS Overview Future Projects – Rip Current Monitor Rip Currents Contributing Factors : 1. On-shore wave characteristics 2. Water levels 3. Surf zone bathymetry Source:

SAFESEAS Overview Future Projects – Rip Current Monitor(2) Sources: Dr. C.S. Wu (NWS) & Prof. Robert Dean (University of Florida), 2003

SAFESEAS Overview The future of SAFESEAS Visibility (enhanced Fog Monitor) Fire Weather Rip Currents Blizzards and Ice Storms (SNOW) “Obs Monster? ” SAFESEAS

SAFESEAS Overview July, 2006 Michael E. Churma Jason Taylor NOAA National Weather Service Office of Science and Technology Meteorological Development Laboratory Decision Assistance Branch