SlideShare a Scribd company logo
1 of 16
© 2013 Pearson Education, Inc.
Chapter 13
Weather
Forecasting
http://www.weather.com/news/weather/video/step-into-the-
future-of-weather-forecasting
http://www.weather.com/news/weather/video/step-into-the-
future-of-weather-forecasting
http://www.accuweather.com/en/weather-
video/channels/bloopers
© 2013 Pearson Education, Inc.
Weather of the dayyyyyy!http://www.weather.govNOAA
Outlookhttp://www.hpc.ncep.noaa.gov/basicwx/day0-
7loop.htmlhttp://www.spc.noaa.gov/http://www.hpc.ncep.noaa.g
ov/sfc/90fwbg.gifhttp://www.weather.com/
© 2013 Pearson Education, Inc.
Thanks Alaina!
© 2013 Pearson Education, Inc.
Derecho
(Putnam county, OH) 6/29/2012
© 2013 Pearson Education, Inc.
On June 29, 2012, a derecho (deh REYcho) moved east-
southeast at 60 miles per hour (mph) from Indiana in the early
afternoon to the Mid-Atlantic region around midnight. The
states most significantly impacted were Indiana, Ohio,
Kentucky, Pennsylvania, West Virginia, Maryland, Virginia,
Delaware, New Jersey, and North Carolina, as well as
Washington, D.C. Nearly every county impacted by this
convective system suffered damages and power outages.
Winds were commonly above 60 mph with numerous reports of
winds exceeding 80 mph. Some areas reported isolated pockets
of winds greater than 100 mph. The storm resulted in 13 deaths,
mainly a result of falling trees. One major impact from the
derecho was widespread power outages. More than 4 million
customers were without power, some for more than a week after
the storms moved through. To make matters worse, the area
affected was in the midst of a prolonged heat wave. There were
34 heat related fatalities in areas without power because of the
derecho.
http://www.nws.noaa.gov/os/assessments/pdfs/derecho12.pdf
https://www.youtube.com/watch?v=gT8vYDwidao
https://www.youtube.com/watch?v=O15KFbS5bD8
© 2013 Pearson Education, Inc.
500 mb heights showed no obvious disturbances to indicate
derecho development, high press ridge in NW, 45mph at height
© 2013 Pearson Education, Inc.
Check out the dew points, the temp ahead of the front, ELR
© 2013 Pearson Education, Inc.
High CAPE. CAPE is directly related to the maximum potential
vertical speed within an updraft Circular shape indicates what
type of storm?
© 2013 Pearson Education, Inc.
The storms organized into a large bow echo in eastern
Indiana and raced east-southeast at around 60 mph
© 2013 Pearson Education, Inc.
Doppler Reflectivity and Base Velocity
© 2013 Pearson Education, Inc.
© 2013 Pearson Education, Inc.
Convective Update
© 2013 Pearson Education, Inc.
Progression
© 2013 Pearson Education, Inc.
Forecasters undershot warning areas
© 2013 Pearson Education, Inc.
So, it was a missed forecast with severe consequences. What to
do differently?Establishing a 24-hour warning point and
emergency operations centerHaving more than one method of
receiving severe weather forecasts and alerting the
publicCreating a system that monitors local weather
conditionsPromoting the significance of public readiness
through community seminarsDeveloping a formal hazardous
weather plan that includes training severe weather spotters and
holding exercises
© 2013 Pearson Education, Inc.
The public perception was that even with the warnings, stronger
words were needed to make them take heed
© 2013 Pearson Education, Inc.
Weather Forecasting—Both Art and Science
As you can see with the derecho, forecasting is difficult and
encompasses many disciplines, technologies, and tools. Think
about all of the measures and tools we have examined so far in
class. Temperature, humidity, winds in upper and lower
atmosphere, storm behavior, precipitation, sub-solar point,
rotation, revolution. Meteorologists take ALL of these into
account. Mathematics, physics, chemistry, social sciences.
Public perception is half the battle!
© 2013 Pearson Education, Inc.
Why Is Weather Forecasting Imperfect?Public perception is that
forecasts should be nearly perfect, and people get ANGRY when
they are wrong!Weather forecasting is
extraordinarily difficult, as many
variables are involved that are
constantly changing (temperature,
water content, energy, stability, etc.).So lets think, if I ask you
to tell me
the temp for tomorrow, a forecasters,
what do you need to consider?
© 2013 Pearson Education, Inc.
ForecastingStart from beginning of the book: temp structure
based of the absorption and scattering of radiation, which
depends on the horizontal and vertical distribution of
atmospheric gases, clouds, vapor, etc. With water changing
between three states constantly, atmospheric composition is
hardly constant. As water is changing state, there is constant
energy exchange. Latent heat! These phase changes are
influenced by vertical up and down drafts, gotta keep an eye on
those too. The season, the breezes, wind direction…
Ayayeyaye!Weather forecasting involves a set of interlocking
problems, each difficult to solve in isolation, let alone in
combination. It should be surprising that they DO get it right,
rather than don’t!
© 2013 Pearson Education, Inc.
Weather Forecasting—Both Art and ScienceNational Weather
Service (NWS) and the Meteorological Service of Canada
(MSC) employ forecasters 24/7.The NWS was established by
the US Govt. in the 1870’s, now falls under the direction of
NOAAhttp://preview.weather.gov/edd/https://www.youtube.com
/watch?v=2XsFnh-7E2wEvery meteorologist has a set of
procedures for analyzing the weather, given the situation.
There is no defined routine.Technology has changed things
drasticallyThe Advanced Weather Interactive Processing System
(AWIPS) allows forecasters to display all the pertinent weather
information available (current weather conditions, output of
computer forecast models displayed in map form, satellite and
radar images, forecast advisories and discussions from other
weather facilities, etc.).
© 2013 Pearson Education, Inc.
Typical DayStarts with verbal briefing from a meteorologist
finishing shiftExamine a large amount of data, focus per
geographic region (tornado look at radar, snow storm satellite)
Multiple screened monitors can display an enormous amount of
information to help with decision makingMajor weather systems
are just the tip of the icebergThe first step would often be to
check cloud cover: Cloud cover can obviously indicate precip,
but also is needed to determine tempYou have determine
whether the clouds will stick around, thin vs thick, clear skies
mean clouds could move inIf its 5 degrees warmer than
yesterday AM, then PM will likely be 5 degrees warmer
© 2013 Pearson Education, Inc.
Weather Forecasting—Both Art and ScienceForecast maps
created by the computer models often depict the predicted
distribution of weather variables directly as an application of
physical laws.Modeling, predicting behaviorFor example, enter
in temp, press, upper level flows, shear, etc, etc
© 2013 Pearson Education, Inc.
StatisticalOther models rely on statistical methods to assist the
forecaster.Statistically, physical models could tell temp zones
in NA, statistics can “fill in the blanks”
© 2013 Pearson Education, Inc.
Other forecastsShort term forecasts- aviation warnings,
hydrological info, etcMaritime forecast
http://forecast.weather.gov/product.php?site=CLE&issuedby=C
LE&product=AFD&format=CI&version=1&glossary=1&highlig
ht=offThe most familiar type of weather statement is the zone
forecast, issues at designated times each day and extending out
to a week into the
futurehttp://www.erh.noaa.gov/displayprod.php?product=CLEZ
FPCLE
© 2013 Pearson Education, Inc.
Forecasting Methods
There are 4 forecasting methods: They can be used separately or
together
Climatological forecasts: based on long-term averages, but not
current weather conditions, Chicago vs Orlando
Persistence forecasts: based on current conditions, no
climatological reference, you do everyday
Analog approach: based on current conditions and similar well-
studied patterns from the past. Past precedence, rule of thumb,
winter snow about the 5000m contour, high clouds bring precip
in 36 hours
Numerical weather forecasting: based on computer programs
that mimic the behavior of the atmosphere.
© 2013 Pearson Education, Inc.
Types of Forecasts
There are 3 types of forecasts:
Quantitative forecasts: “An inch of rain is expected.” “The high
is going to be 56 ºF today.”
Qualitative forecasts: categorical, classify, “rain/no rain” or
“above/below normal”, cloudy, partly cloudy, etc
Probability (PoP) forecasts: “The rain chance today is 70%.”
“There is a 60% chance of snow.”
© 2013 Pearson Education, Inc.
Types of Forecasts
Prob of Precip Map
© 2013 Pearson Education, Inc.
Thanks Brianna!
© 2013 Pearson Education, Inc.
Assessing ForecastsMeasures are needed when comparing one
forecast to another, decide which method is best, and
whenAssessment measures are needed by those responsible for
developing and administering forecasting programs to ensure
best practices, justify expenditures, determining ROIThe
forecast quality (how close to true) and the forecast value
(loss/payoff tables, risk/rewards) can be assessed. When
assessing the forecast quality, forecast accuracy and forecast
bias (systematic over or under prediction) can be
examined.Forecast skill can also be a factor, use a baseline of
climatology, predicting no rain in Jerusalem in July or a
hurricane in September
© 2013 Pearson Education, Inc.
Assessing ForecastsMeasures are needed when comparing one
forecast to another, decide which method is best, and when. You
do this when planning vacation!Assessment measures are
needed by those responsible for developing and administering
forecasting programs to ensure best practices, justify
expenditures, determining ROIThe forecast quality (how close
to true) and the forecast value (loss/payoff tables, risk/rewards)
can be assessed. When assessing the forecast quality, forecast
accuracy and forecast bias (systematic over or under prediction)
can be examined.Forecast skill can also be a factor, use a
baseline of climatology, predicting no rain in Jerusalem of a
hurricane in September
© 2013 Pearson Education, Inc.
Data Acquisition and Dissemination: How does the NWS get all
that data?Data collection is an international effort, blended
bordersThe World Meteorological Organization (WMO),
sanctioned by UN, responsible for data collection across the
globe. Collected from 179 nations, 10,000 land stations, 7000
ship stations, 300 buoys, as well as weather satellites, and 1000
weather balloons, twice a day. Data is sent to world
meteorological centers in Washington D.C., Moscow, and
Melbourne. These centers disseminate to the rest of the world.
In the U.S., the National Centers for Environmental Prediction
(NCEP) are responsible for processing, and issuing regional and
national forecasts.
© 2013 Pearson Education, Inc.
Data Acquisition and Dissemination
The FAA and NWS have installed a network of more than 800
automated sensors, called Automated Surface Observing
System, or ASOS, for measuring and recording temperature,
humidity, pressure, cloud conditions, wind direction and speed,
visibility, presence of fog or rain, and accumulated precipitation
readings at ground level.
Radiosondes, thousands a day, are launched to track pressure,
temp, and upper level winds. The balloons ascend for a few
hours and burst at the stratosphere.
© 2013 Pearson Education, Inc.
Forecast Procedures and Products
Numerical models are at the frontline of forecast data analysis.
They are constantly updated. Right now the NWS uses three
different forecast models. From time to time, new ones are
produced, and the older are retired.
Phases in Numerical ModelingModels differ but they all involve
three phases: analysis, prediction, and postprocessing.
Analysis PhaseObservation data is used to supply a current state
of the atmosphere (3 dimensional, some are planetary)Data is
converted into uniform initial values (buoys, ships, planes,
etc)Values for both the horizontal and the vertical conditions
over very large areas plotted (the computer can pick out
implausibility)
© 2013 Pearson Education, Inc.
Forecast Procedures and ProductsPhases in Numerical Modeling
Prediction PhaseBased on solving basic governing equations
(equations of motion, continuity, energy)Based on atmos
variables (temp, press, wind, density, moist)Equations used to
obtain new values minutes into the futureEquations solved and
advanced through various forecasting periodsBillions of
equations solved at each step
© 2013 Pearson Education, Inc.
Forecast Procedures and ProductsPhases in Numerical Modeling
Postprocessing PhaseA series of maps of atmospheric conditions
constructed (sea level press, 500mb, heights and temps at all
levels, absolute vorticity values)Each map centers upon one or a
few variablesForecasters use these products as general guidance
Combinations of model output are generally used (one may have
rain in the SE corner of County, etc)Rules of thumb aren’t ruled
out, but added to the forecast, subjective judgment
© 2013 Pearson Education, Inc.
Forecast Procedures and ProductsABC, 3 separate models,
forecast, and reality
© 2013 Pearson Education, Inc.
Forecast Procedures and ProductsMedium-Range
ForecastsMedium range forecasts (MRF) are forecasts for 72
hours to a few weeks.Ensemble forecasting is a forecast in
which the predictions from several different computer model
forecasts are combined to form an ensemble average, spaghetti
diagram, heights
© 2013 Pearson Education, Inc.
Forecast Procedures and ProductsPredicting long term behavior
can lead to Chaos. Chaos is a condition that occurs in physical
systems (in our case, the atmosphere) that makes it impossible
to precisely predict how a system will appear some time in the
futureIf two models are run with different initial variables,
Chaos can occur (butterfly effect)
© 2013 Pearson Education, Inc.
Forecast Procedures and ProductsLong-Range Forecasts and
Seasonal OutlooksLong-range forecasts are forecasts that cover
several weeks to several months or more
The Climate Prediction Center (CPC) within the NCEP within
the NWS produces these forecasts
Long-range forecasts use climatology, statistics, numerical
modes, and subjective judgment
CPC also produces a seasonal outlook, or a forecast for the
entire season (colder than normal, etc)
© 2013 Pearson Education, Inc.
Weather Maps and Images
Surface mapsSurface maps depict prevailing conditions,
pressure distributions, location of fronts, etc.Both large-scale
features and station models are included in surface mapsThink
about all the inferences you can make from a large scale surface
map
© 2013 Pearson Education, Inc.
Surface Maps: Station Models
© 2013 Pearson Education, Inc.
Weather Maps and ImagesUpper-Level MapsPlotted twice daily
for different pressure levels.
850mb Maps 850mb level typically found about 1.5km (1mi)
above sea level Heights are plotted as solid lines while
isotherms are dashed lines These charts are useful in
determining daily maximum surface temperatures for non-
mountainous regionsSummer - the surface maximum about 27 ºF
greater than the 850mb temperatureWinter - this number reduces
to 16 ºF and 22 ºF for fall and spring
© 2013 Pearson Education, Inc.
Weather Maps and ImagesUpper-Level Maps
© 2013 Pearson Education, Inc.
Weather Maps and ImagesUpper-Level Maps
700mb Maps700mb level typically found about 3km (2mi)
above sea level. Very similar to the 850mb map.Useful for
observing short waves and the formation of mid-latitude
cyclones, and tracking air mass thunderstorms.
© 2013 Pearson Education, Inc.
Weather Maps and ImagesUpper-Level Maps
500mb Maps 500mb level typically found about 5.6km
(18,000ft) above sea level. Used as a representation of the
middle atmosphere and helpful when viewing the omega high.
© 2013 Pearson Education, Inc.
Weather Maps and ImagesUpper-Level Maps
© 2013 Pearson Education, Inc.
Weather Maps and ImagesIf you watch the news, you’re likely
to see satellite ImagesVisible images describe atmospheric
features from the perspective of an observer from space.
Sunlight reflected off of cloud tops. Available only during
daylight.
Infrared images display longwave radiation emitted, not
reflected from clouds, the lower atmosphere, or the surface.
Clear skies appear very dark on these images.
Water vapor images are created by detecting radiation around
6.7µm where water vapor is an effective radiator.
© 2013 Pearson Education, Inc.
Weather Maps and ImagesSatellite Images
Visible
Infrared
Water Vapor
© 2013 Pearson Education, Inc.
Weather Maps and ImagesRadar ImagesRadar images display
atmospheric conditions by measuring the amount of radiation
backscattered from liquid and solid particles in the atmosphere,
mainly cloudsA receiver records the intensity and return time of
the echoed pulses (indicative of the number and size of droplets
and crystals)The radar unit rotates 360ºA large volume of air is
examined, giving data on the distribution of clouds, height of
cloud tops and bases, and the intensity of precipitation.Each
unit surveys a 400km (200mi) surrounding area
© 2013 Pearson Education, Inc.
Weather Maps and ImagesRadar Images
© 2013 Pearson Education, Inc.
Thermodynamic Diagrams
The maps and images we have examined so far concern 2D
imaging. These fail to provide detailed vertical
information.Lifted Index- created in the mid 1950’s, combines
avg humidity in the lowest km of the atmosphere, the predicted
max temp for the day, and the temp at the 500mb into one
valueThunderstorm potential is actually determined through the
lifted index. Negative values indicate there is sufficient water
vapor and stability conditions to create thunderstorms.Potential
is indicated through the magnitude of the negative values
LI 6 or Greater, Very Stable Conditions
LI Between 1 and 6 : Stable Conditions, Thunderstorms Not
Likely
LI Between 0 and -2 : Slightly Unstable, Thunderstorms
Possible, With Lifting Mechanism (i.e., cold front, daytime
heating, ...)
LI Between -2 and -6 : Unstable, Thunderstorms Likely, Some
Severe With Lifting Mechanism
LI Less Than -6: Very Unstable, Severe Thunderstorms Likely
With Lifting Mechanism
© 2013 Pearson Education, Inc.
End of Chapter 13
http://www.dnr.sc.gov/climate/sco/Education/wxmap/wxmap.ph
p

More Related Content

Similar to © 2013 Pearson Education, Inc.Chapter 13Weather Fore.docx

An Investigation of Weather Forecasting using Machine Learning Techniques
An Investigation of Weather Forecasting using Machine Learning TechniquesAn Investigation of Weather Forecasting using Machine Learning Techniques
An Investigation of Weather Forecasting using Machine Learning TechniquesDr. Amarjeet Singh
 
Is it weather or is it climate? What is the difference?
Is it weather or is it climate? What is the difference?Is it weather or is it climate? What is the difference?
Is it weather or is it climate? What is the difference?LPE Learning Center
 
2014 Top 10 Predictions for BC/DR by Dr. Steven B Goldman
2014 Top 10 Predictions for BC/DR by Dr. Steven B Goldman2014 Top 10 Predictions for BC/DR by Dr. Steven B Goldman
2014 Top 10 Predictions for BC/DR by Dr. Steven B GoldmanxMattersMarketing
 
application of artificial intelligence in meteorology (1).pptx
application of artificial intelligence in meteorology (1).pptxapplication of artificial intelligence in meteorology (1).pptx
application of artificial intelligence in meteorology (1).pptxKarthikkingK1
 
Weather forcasting.pptx
Weather forcasting.pptxWeather forcasting.pptx
Weather forcasting.pptxssuser9838f7
 
Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...
Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...
Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...Christina Parmionova
 
Professionals - Floods - Preparedness
Professionals - Floods - PreparednessProfessionals - Floods - Preparedness
Professionals - Floods - PreparednessNCC-CCT
 
DISASTER PREDICTION
DISASTER PREDICTIONDISASTER PREDICTION
DISASTER PREDICTIONLibcorpio
 
Gardening and landscaping @Rajeev Ranjan.ppt
Gardening and landscaping @Rajeev Ranjan.pptGardening and landscaping @Rajeev Ranjan.ppt
Gardening and landscaping @Rajeev Ranjan.pptRajeev Verma
 
Professionals - Storms - Preparedness
Professionals - Storms - PreparednessProfessionals - Storms - Preparedness
Professionals - Storms - PreparednessNCC-CCT
 
Automated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME PlatformAutomated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME PlatformConsortech
 
North Carolina's Climate. R. Boyles
North Carolina's Climate.  R. BoylesNorth Carolina's Climate.  R. Boyles
North Carolina's Climate. R. Boylestriadsustain
 
Web Quest Template Weather
Web Quest Template   WeatherWeb Quest Template   Weather
Web Quest Template Weathermcwathen
 
Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014
Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014
Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014xMatters Inc
 
Weather and Decision Support for Emergency Managers
Weather and Decision Support for Emergency ManagersWeather and Decision Support for Emergency Managers
Weather and Decision Support for Emergency ManagersTodd Morris
 
Case study risk management
Case study risk managementCase study risk management
Case study risk managementabpeters82
 

Similar to © 2013 Pearson Education, Inc.Chapter 13Weather Fore.docx (20)

An Investigation of Weather Forecasting using Machine Learning Techniques
An Investigation of Weather Forecasting using Machine Learning TechniquesAn Investigation of Weather Forecasting using Machine Learning Techniques
An Investigation of Weather Forecasting using Machine Learning Techniques
 
Is it weather or is it climate? What is the difference?
Is it weather or is it climate? What is the difference?Is it weather or is it climate? What is the difference?
Is it weather or is it climate? What is the difference?
 
2014 Top 10 Predictions for BC/DR by Dr. Steven B Goldman
2014 Top 10 Predictions for BC/DR by Dr. Steven B Goldman2014 Top 10 Predictions for BC/DR by Dr. Steven B Goldman
2014 Top 10 Predictions for BC/DR by Dr. Steven B Goldman
 
application of artificial intelligence in meteorology (1).pptx
application of artificial intelligence in meteorology (1).pptxapplication of artificial intelligence in meteorology (1).pptx
application of artificial intelligence in meteorology (1).pptx
 
Weather forcasting.pptx
Weather forcasting.pptxWeather forcasting.pptx
Weather forcasting.pptx
 
Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...
Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...
Statement of the WMO Secretary-General on world Meteorological Day 2024; Marc...
 
Professionals - Floods - Preparedness
Professionals - Floods - PreparednessProfessionals - Floods - Preparedness
Professionals - Floods - Preparedness
 
shaw.ppt
shaw.pptshaw.ppt
shaw.ppt
 
shaw.ppt
shaw.pptshaw.ppt
shaw.ppt
 
Purchase An Essay.pdf
Purchase An Essay.pdfPurchase An Essay.pdf
Purchase An Essay.pdf
 
DISASTER PREDICTION
DISASTER PREDICTIONDISASTER PREDICTION
DISASTER PREDICTION
 
Gardening and landscaping @Rajeev Ranjan.ppt
Gardening and landscaping @Rajeev Ranjan.pptGardening and landscaping @Rajeev Ranjan.ppt
Gardening and landscaping @Rajeev Ranjan.ppt
 
Professionals - Storms - Preparedness
Professionals - Storms - PreparednessProfessionals - Storms - Preparedness
Professionals - Storms - Preparedness
 
Automated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME PlatformAutomated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME Platform
 
North Carolina's Climate. R. Boyles
North Carolina's Climate.  R. BoylesNorth Carolina's Climate.  R. Boyles
North Carolina's Climate. R. Boyles
 
Web Quest Template Weather
Web Quest Template   WeatherWeb Quest Template   Weather
Web Quest Template Weather
 
Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014
Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014
Dr Steve Goldman's Top Ten Business Continuity Predictions / Trends for 2014
 
Weather and Decision Support for Emergency Managers
Weather and Decision Support for Emergency ManagersWeather and Decision Support for Emergency Managers
Weather and Decision Support for Emergency Managers
 
Case study risk management
Case study risk managementCase study risk management
Case study risk management
 
2007 03 Global Assurance Magazine
2007 03 Global Assurance Magazine2007 03 Global Assurance Magazine
2007 03 Global Assurance Magazine
 

More from LynellBull52

· · · Must be a foreign film with subtitles· Provide you wit.docx
· · · Must be a foreign film with subtitles· Provide you wit.docx· · · Must be a foreign film with subtitles· Provide you wit.docx
· · · Must be a foreign film with subtitles· Provide you wit.docxLynellBull52
 
·  Identify the stakeholders and how they were affected by Heene.docx
·  Identify the stakeholders and how they were affected by Heene.docx·  Identify the stakeholders and how they were affected by Heene.docx
·  Identify the stakeholders and how they were affected by Heene.docxLynellBull52
 
· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docx
· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docx· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docx
· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docxLynellBull52
 
· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docx
· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docx· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docx
· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docxLynellBull52
 
· Week 10 Assignment 2 SubmissionStudents, please view the.docx
· Week 10 Assignment 2 SubmissionStudents, please view the.docx· Week 10 Assignment 2 SubmissionStudents, please view the.docx
· Week 10 Assignment 2 SubmissionStudents, please view the.docxLynellBull52
 
· Write in paragraph format (no lists, bullets, or numbers).· .docx
· Write in paragraph format (no lists, bullets, or numbers).· .docx· Write in paragraph format (no lists, bullets, or numbers).· .docx
· Write in paragraph format (no lists, bullets, or numbers).· .docxLynellBull52
 
· WEEK 1 Databases and SecurityLesson· Databases and Security.docx
· WEEK 1 Databases and SecurityLesson· Databases and Security.docx· WEEK 1 Databases and SecurityLesson· Databases and Security.docx
· WEEK 1 Databases and SecurityLesson· Databases and Security.docxLynellBull52
 
· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docx
· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docx· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docx
· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docxLynellBull52
 
· Unit Interface-User Interaction· Assignment Objectives Em.docx
· Unit  Interface-User Interaction· Assignment Objectives Em.docx· Unit  Interface-User Interaction· Assignment Objectives Em.docx
· Unit Interface-User Interaction· Assignment Objectives Em.docxLynellBull52
 
· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docx
· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docx· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docx
· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docxLynellBull52
 
· Question 1· · How does internal environmental analy.docx
· Question 1· ·        How does internal environmental analy.docx· Question 1· ·        How does internal environmental analy.docx
· Question 1· · How does internal environmental analy.docxLynellBull52
 
· Question 1Question 192 out of 2 pointsWhat file in the.docx
· Question 1Question 192 out of 2 pointsWhat file in the.docx· Question 1Question 192 out of 2 pointsWhat file in the.docx
· Question 1Question 192 out of 2 pointsWhat file in the.docxLynellBull52
 
· Question 15 out of 5 pointsWhen psychologists discuss .docx
· Question 15 out of 5 pointsWhen psychologists discuss .docx· Question 15 out of 5 pointsWhen psychologists discuss .docx
· Question 15 out of 5 pointsWhen psychologists discuss .docxLynellBull52
 
· Question 1 2 out of 2 pointsWhich of the following i.docx
· Question 1 2 out of 2 pointsWhich of the following i.docx· Question 1 2 out of 2 pointsWhich of the following i.docx
· Question 1 2 out of 2 pointsWhich of the following i.docxLynellBull52
 
· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docx
· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docx· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docx
· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docxLynellBull52
 
· Strengths Public Recognition of OrganizationOverall Positive P.docx
· Strengths Public Recognition of OrganizationOverall Positive P.docx· Strengths Public Recognition of OrganizationOverall Positive P.docx
· Strengths Public Recognition of OrganizationOverall Positive P.docxLynellBull52
 
· Part I Key Case SummaryThis case discusses the Union Carbid.docx
· Part I Key Case SummaryThis case discusses the Union Carbid.docx· Part I Key Case SummaryThis case discusses the Union Carbid.docx
· Part I Key Case SummaryThis case discusses the Union Carbid.docxLynellBull52
 
· Perceptual process is a process through manager receive organize.docx
· Perceptual process is a process through manager receive organize.docx· Perceptual process is a process through manager receive organize.docx
· Perceptual process is a process through manager receive organize.docxLynellBull52
 
· Performance Critique Assignment· During the first month of.docx
· Performance Critique Assignment· During the first month of.docx· Performance Critique Assignment· During the first month of.docx
· Performance Critique Assignment· During the first month of.docxLynellBull52
 
· Please read the following article excerpt, and view the video cl.docx
· Please read the following article excerpt, and view the video cl.docx· Please read the following article excerpt, and view the video cl.docx
· Please read the following article excerpt, and view the video cl.docxLynellBull52
 

More from LynellBull52 (20)

· · · Must be a foreign film with subtitles· Provide you wit.docx
· · · Must be a foreign film with subtitles· Provide you wit.docx· · · Must be a foreign film with subtitles· Provide you wit.docx
· · · Must be a foreign film with subtitles· Provide you wit.docx
 
·  Identify the stakeholders and how they were affected by Heene.docx
·  Identify the stakeholders and how they were affected by Heene.docx·  Identify the stakeholders and how they were affected by Heene.docx
·  Identify the stakeholders and how they were affected by Heene.docx
 
· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docx
· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docx· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docx
· · Re WEEK ONE - DISCUSSION QUESTION # 2posted by DONALD DEN.docx
 
· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docx
· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docx· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docx
· Week 3 AssignmentGovernment and Not-For-Profit AccountingVal.docx
 
· Week 10 Assignment 2 SubmissionStudents, please view the.docx
· Week 10 Assignment 2 SubmissionStudents, please view the.docx· Week 10 Assignment 2 SubmissionStudents, please view the.docx
· Week 10 Assignment 2 SubmissionStudents, please view the.docx
 
· Write in paragraph format (no lists, bullets, or numbers).· .docx
· Write in paragraph format (no lists, bullets, or numbers).· .docx· Write in paragraph format (no lists, bullets, or numbers).· .docx
· Write in paragraph format (no lists, bullets, or numbers).· .docx
 
· WEEK 1 Databases and SecurityLesson· Databases and Security.docx
· WEEK 1 Databases and SecurityLesson· Databases and Security.docx· WEEK 1 Databases and SecurityLesson· Databases and Security.docx
· WEEK 1 Databases and SecurityLesson· Databases and Security.docx
 
· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docx
· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docx· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docx
· Unit 4 Citizen RightsINTRODUCTIONIn George Orwells Animal.docx
 
· Unit Interface-User Interaction· Assignment Objectives Em.docx
· Unit  Interface-User Interaction· Assignment Objectives Em.docx· Unit  Interface-User Interaction· Assignment Objectives Em.docx
· Unit Interface-User Interaction· Assignment Objectives Em.docx
 
· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docx
· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docx· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docx
· The Victims’ Rights MovementWrite a 2 page paper.  Address the.docx
 
· Question 1· · How does internal environmental analy.docx
· Question 1· ·        How does internal environmental analy.docx· Question 1· ·        How does internal environmental analy.docx
· Question 1· · How does internal environmental analy.docx
 
· Question 1Question 192 out of 2 pointsWhat file in the.docx
· Question 1Question 192 out of 2 pointsWhat file in the.docx· Question 1Question 192 out of 2 pointsWhat file in the.docx
· Question 1Question 192 out of 2 pointsWhat file in the.docx
 
· Question 15 out of 5 pointsWhen psychologists discuss .docx
· Question 15 out of 5 pointsWhen psychologists discuss .docx· Question 15 out of 5 pointsWhen psychologists discuss .docx
· Question 15 out of 5 pointsWhen psychologists discuss .docx
 
· Question 1 2 out of 2 pointsWhich of the following i.docx
· Question 1 2 out of 2 pointsWhich of the following i.docx· Question 1 2 out of 2 pointsWhich of the following i.docx
· Question 1 2 out of 2 pointsWhich of the following i.docx
 
· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docx
· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docx· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docx
· Processed on 09-Dec-2014 901 PM CST · ID 488406360 · Word .docx
 
· Strengths Public Recognition of OrganizationOverall Positive P.docx
· Strengths Public Recognition of OrganizationOverall Positive P.docx· Strengths Public Recognition of OrganizationOverall Positive P.docx
· Strengths Public Recognition of OrganizationOverall Positive P.docx
 
· Part I Key Case SummaryThis case discusses the Union Carbid.docx
· Part I Key Case SummaryThis case discusses the Union Carbid.docx· Part I Key Case SummaryThis case discusses the Union Carbid.docx
· Part I Key Case SummaryThis case discusses the Union Carbid.docx
 
· Perceptual process is a process through manager receive organize.docx
· Perceptual process is a process through manager receive organize.docx· Perceptual process is a process through manager receive organize.docx
· Perceptual process is a process through manager receive organize.docx
 
· Performance Critique Assignment· During the first month of.docx
· Performance Critique Assignment· During the first month of.docx· Performance Critique Assignment· During the first month of.docx
· Performance Critique Assignment· During the first month of.docx
 
· Please read the following article excerpt, and view the video cl.docx
· Please read the following article excerpt, and view the video cl.docx· Please read the following article excerpt, and view the video cl.docx
· Please read the following article excerpt, and view the video cl.docx
 

Recently uploaded

HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfFICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfPondicherry University
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxJisc
 
AIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.pptAIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.pptNishitharanjan Rout
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024Elizabeth Walsh
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jisc
 
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptxMichaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptxRugvedSathawane
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxannathomasp01
 
Simple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfSimple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfstareducators107
 
What is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptxWhat is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptxCeline George
 
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes GuàrdiaPersonalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes GuàrdiaEADTU
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...EADTU
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Jisc
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfNirmal Dwivedi
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSAnaAcapella
 
PANDITA RAMABAI- Indian political thought GENDER.pptx
PANDITA RAMABAI- Indian political thought GENDER.pptxPANDITA RAMABAI- Indian political thought GENDER.pptx
PANDITA RAMABAI- Indian political thought GENDER.pptxakanksha16arora
 
OSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & SystemsOSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & SystemsSandeep D Chaudhary
 
diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....Ritu480198
 
Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111GangaMaiya1
 

Recently uploaded (20)

HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfFICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
AIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.pptAIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.ppt
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Including Mental Health Support in Project Delivery, 14 May.pdf
Including Mental Health Support in Project Delivery, 14 May.pdfIncluding Mental Health Support in Project Delivery, 14 May.pdf
Including Mental Health Support in Project Delivery, 14 May.pdf
 
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptxMichaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
 
Simple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdfSimple, Complex, and Compound Sentences Exercises.pdf
Simple, Complex, and Compound Sentences Exercises.pdf
 
What is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptxWhat is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptx
 
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes GuàrdiaPersonalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
 
PANDITA RAMABAI- Indian political thought GENDER.pptx
PANDITA RAMABAI- Indian political thought GENDER.pptxPANDITA RAMABAI- Indian political thought GENDER.pptx
PANDITA RAMABAI- Indian political thought GENDER.pptx
 
OSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & SystemsOSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & Systems
 
diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....
 
Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111
 

© 2013 Pearson Education, Inc.Chapter 13Weather Fore.docx

  • 1. © 2013 Pearson Education, Inc. Chapter 13 Weather Forecasting http://www.weather.com/news/weather/video/step-into-the- future-of-weather-forecasting http://www.weather.com/news/weather/video/step-into-the- future-of-weather-forecasting http://www.accuweather.com/en/weather- video/channels/bloopers © 2013 Pearson Education, Inc. Weather of the dayyyyyy!http://www.weather.govNOAA Outlookhttp://www.hpc.ncep.noaa.gov/basicwx/day0- 7loop.htmlhttp://www.spc.noaa.gov/http://www.hpc.ncep.noaa.g ov/sfc/90fwbg.gifhttp://www.weather.com/ © 2013 Pearson Education, Inc. Thanks Alaina! © 2013 Pearson Education, Inc. Derecho
  • 2. (Putnam county, OH) 6/29/2012 © 2013 Pearson Education, Inc. On June 29, 2012, a derecho (deh REYcho) moved east- southeast at 60 miles per hour (mph) from Indiana in the early afternoon to the Mid-Atlantic region around midnight. The states most significantly impacted were Indiana, Ohio, Kentucky, Pennsylvania, West Virginia, Maryland, Virginia, Delaware, New Jersey, and North Carolina, as well as Washington, D.C. Nearly every county impacted by this convective system suffered damages and power outages. Winds were commonly above 60 mph with numerous reports of winds exceeding 80 mph. Some areas reported isolated pockets of winds greater than 100 mph. The storm resulted in 13 deaths, mainly a result of falling trees. One major impact from the derecho was widespread power outages. More than 4 million customers were without power, some for more than a week after the storms moved through. To make matters worse, the area affected was in the midst of a prolonged heat wave. There were 34 heat related fatalities in areas without power because of the derecho. http://www.nws.noaa.gov/os/assessments/pdfs/derecho12.pdf https://www.youtube.com/watch?v=gT8vYDwidao https://www.youtube.com/watch?v=O15KFbS5bD8 © 2013 Pearson Education, Inc. 500 mb heights showed no obvious disturbances to indicate derecho development, high press ridge in NW, 45mph at height © 2013 Pearson Education, Inc.
  • 3. Check out the dew points, the temp ahead of the front, ELR © 2013 Pearson Education, Inc. High CAPE. CAPE is directly related to the maximum potential vertical speed within an updraft Circular shape indicates what type of storm? © 2013 Pearson Education, Inc. The storms organized into a large bow echo in eastern Indiana and raced east-southeast at around 60 mph © 2013 Pearson Education, Inc. Doppler Reflectivity and Base Velocity © 2013 Pearson Education, Inc. © 2013 Pearson Education, Inc. Convective Update © 2013 Pearson Education, Inc. Progression
  • 4. © 2013 Pearson Education, Inc. Forecasters undershot warning areas © 2013 Pearson Education, Inc. So, it was a missed forecast with severe consequences. What to do differently?Establishing a 24-hour warning point and emergency operations centerHaving more than one method of receiving severe weather forecasts and alerting the publicCreating a system that monitors local weather conditionsPromoting the significance of public readiness through community seminarsDeveloping a formal hazardous weather plan that includes training severe weather spotters and holding exercises © 2013 Pearson Education, Inc. The public perception was that even with the warnings, stronger words were needed to make them take heed © 2013 Pearson Education, Inc. Weather Forecasting—Both Art and Science As you can see with the derecho, forecasting is difficult and encompasses many disciplines, technologies, and tools. Think about all of the measures and tools we have examined so far in class. Temperature, humidity, winds in upper and lower atmosphere, storm behavior, precipitation, sub-solar point, rotation, revolution. Meteorologists take ALL of these into account. Mathematics, physics, chemistry, social sciences. Public perception is half the battle!
  • 5. © 2013 Pearson Education, Inc. Why Is Weather Forecasting Imperfect?Public perception is that forecasts should be nearly perfect, and people get ANGRY when they are wrong!Weather forecasting is extraordinarily difficult, as many variables are involved that are constantly changing (temperature, water content, energy, stability, etc.).So lets think, if I ask you to tell me the temp for tomorrow, a forecasters, what do you need to consider? © 2013 Pearson Education, Inc. ForecastingStart from beginning of the book: temp structure based of the absorption and scattering of radiation, which depends on the horizontal and vertical distribution of atmospheric gases, clouds, vapor, etc. With water changing between three states constantly, atmospheric composition is hardly constant. As water is changing state, there is constant energy exchange. Latent heat! These phase changes are influenced by vertical up and down drafts, gotta keep an eye on those too. The season, the breezes, wind direction… Ayayeyaye!Weather forecasting involves a set of interlocking problems, each difficult to solve in isolation, let alone in combination. It should be surprising that they DO get it right, rather than don’t! © 2013 Pearson Education, Inc. Weather Forecasting—Both Art and ScienceNational Weather
  • 6. Service (NWS) and the Meteorological Service of Canada (MSC) employ forecasters 24/7.The NWS was established by the US Govt. in the 1870’s, now falls under the direction of NOAAhttp://preview.weather.gov/edd/https://www.youtube.com /watch?v=2XsFnh-7E2wEvery meteorologist has a set of procedures for analyzing the weather, given the situation. There is no defined routine.Technology has changed things drasticallyThe Advanced Weather Interactive Processing System (AWIPS) allows forecasters to display all the pertinent weather information available (current weather conditions, output of computer forecast models displayed in map form, satellite and radar images, forecast advisories and discussions from other weather facilities, etc.). © 2013 Pearson Education, Inc. Typical DayStarts with verbal briefing from a meteorologist finishing shiftExamine a large amount of data, focus per geographic region (tornado look at radar, snow storm satellite) Multiple screened monitors can display an enormous amount of information to help with decision makingMajor weather systems are just the tip of the icebergThe first step would often be to check cloud cover: Cloud cover can obviously indicate precip, but also is needed to determine tempYou have determine whether the clouds will stick around, thin vs thick, clear skies mean clouds could move inIf its 5 degrees warmer than yesterday AM, then PM will likely be 5 degrees warmer © 2013 Pearson Education, Inc. Weather Forecasting—Both Art and ScienceForecast maps created by the computer models often depict the predicted
  • 7. distribution of weather variables directly as an application of physical laws.Modeling, predicting behaviorFor example, enter in temp, press, upper level flows, shear, etc, etc © 2013 Pearson Education, Inc. StatisticalOther models rely on statistical methods to assist the forecaster.Statistically, physical models could tell temp zones in NA, statistics can “fill in the blanks” © 2013 Pearson Education, Inc. Other forecastsShort term forecasts- aviation warnings, hydrological info, etcMaritime forecast http://forecast.weather.gov/product.php?site=CLE&issuedby=C LE&product=AFD&format=CI&version=1&glossary=1&highlig ht=offThe most familiar type of weather statement is the zone forecast, issues at designated times each day and extending out to a week into the futurehttp://www.erh.noaa.gov/displayprod.php?product=CLEZ FPCLE © 2013 Pearson Education, Inc. Forecasting Methods There are 4 forecasting methods: They can be used separately or together Climatological forecasts: based on long-term averages, but not current weather conditions, Chicago vs Orlando Persistence forecasts: based on current conditions, no climatological reference, you do everyday Analog approach: based on current conditions and similar well- studied patterns from the past. Past precedence, rule of thumb,
  • 8. winter snow about the 5000m contour, high clouds bring precip in 36 hours Numerical weather forecasting: based on computer programs that mimic the behavior of the atmosphere. © 2013 Pearson Education, Inc. Types of Forecasts There are 3 types of forecasts: Quantitative forecasts: “An inch of rain is expected.” “The high is going to be 56 ºF today.” Qualitative forecasts: categorical, classify, “rain/no rain” or “above/below normal”, cloudy, partly cloudy, etc Probability (PoP) forecasts: “The rain chance today is 70%.” “There is a 60% chance of snow.” © 2013 Pearson Education, Inc. Types of Forecasts Prob of Precip Map © 2013 Pearson Education, Inc. Thanks Brianna! © 2013 Pearson Education, Inc. Assessing ForecastsMeasures are needed when comparing one
  • 9. forecast to another, decide which method is best, and whenAssessment measures are needed by those responsible for developing and administering forecasting programs to ensure best practices, justify expenditures, determining ROIThe forecast quality (how close to true) and the forecast value (loss/payoff tables, risk/rewards) can be assessed. When assessing the forecast quality, forecast accuracy and forecast bias (systematic over or under prediction) can be examined.Forecast skill can also be a factor, use a baseline of climatology, predicting no rain in Jerusalem in July or a hurricane in September © 2013 Pearson Education, Inc. Assessing ForecastsMeasures are needed when comparing one forecast to another, decide which method is best, and when. You do this when planning vacation!Assessment measures are needed by those responsible for developing and administering forecasting programs to ensure best practices, justify expenditures, determining ROIThe forecast quality (how close to true) and the forecast value (loss/payoff tables, risk/rewards) can be assessed. When assessing the forecast quality, forecast accuracy and forecast bias (systematic over or under prediction) can be examined.Forecast skill can also be a factor, use a baseline of climatology, predicting no rain in Jerusalem of a hurricane in September © 2013 Pearson Education, Inc. Data Acquisition and Dissemination: How does the NWS get all that data?Data collection is an international effort, blended bordersThe World Meteorological Organization (WMO), sanctioned by UN, responsible for data collection across the globe. Collected from 179 nations, 10,000 land stations, 7000
  • 10. ship stations, 300 buoys, as well as weather satellites, and 1000 weather balloons, twice a day. Data is sent to world meteorological centers in Washington D.C., Moscow, and Melbourne. These centers disseminate to the rest of the world. In the U.S., the National Centers for Environmental Prediction (NCEP) are responsible for processing, and issuing regional and national forecasts. © 2013 Pearson Education, Inc. Data Acquisition and Dissemination The FAA and NWS have installed a network of more than 800 automated sensors, called Automated Surface Observing System, or ASOS, for measuring and recording temperature, humidity, pressure, cloud conditions, wind direction and speed, visibility, presence of fog or rain, and accumulated precipitation readings at ground level. Radiosondes, thousands a day, are launched to track pressure, temp, and upper level winds. The balloons ascend for a few hours and burst at the stratosphere. © 2013 Pearson Education, Inc. Forecast Procedures and Products Numerical models are at the frontline of forecast data analysis. They are constantly updated. Right now the NWS uses three different forecast models. From time to time, new ones are produced, and the older are retired. Phases in Numerical ModelingModels differ but they all involve three phases: analysis, prediction, and postprocessing. Analysis PhaseObservation data is used to supply a current state
  • 11. of the atmosphere (3 dimensional, some are planetary)Data is converted into uniform initial values (buoys, ships, planes, etc)Values for both the horizontal and the vertical conditions over very large areas plotted (the computer can pick out implausibility) © 2013 Pearson Education, Inc. Forecast Procedures and ProductsPhases in Numerical Modeling Prediction PhaseBased on solving basic governing equations (equations of motion, continuity, energy)Based on atmos variables (temp, press, wind, density, moist)Equations used to obtain new values minutes into the futureEquations solved and advanced through various forecasting periodsBillions of equations solved at each step © 2013 Pearson Education, Inc. Forecast Procedures and ProductsPhases in Numerical Modeling Postprocessing PhaseA series of maps of atmospheric conditions constructed (sea level press, 500mb, heights and temps at all levels, absolute vorticity values)Each map centers upon one or a few variablesForecasters use these products as general guidance Combinations of model output are generally used (one may have rain in the SE corner of County, etc)Rules of thumb aren’t ruled out, but added to the forecast, subjective judgment © 2013 Pearson Education, Inc. Forecast Procedures and ProductsABC, 3 separate models, forecast, and reality
  • 12. © 2013 Pearson Education, Inc. Forecast Procedures and ProductsMedium-Range ForecastsMedium range forecasts (MRF) are forecasts for 72 hours to a few weeks.Ensemble forecasting is a forecast in which the predictions from several different computer model forecasts are combined to form an ensemble average, spaghetti diagram, heights © 2013 Pearson Education, Inc. Forecast Procedures and ProductsPredicting long term behavior can lead to Chaos. Chaos is a condition that occurs in physical systems (in our case, the atmosphere) that makes it impossible to precisely predict how a system will appear some time in the futureIf two models are run with different initial variables, Chaos can occur (butterfly effect) © 2013 Pearson Education, Inc. Forecast Procedures and ProductsLong-Range Forecasts and Seasonal OutlooksLong-range forecasts are forecasts that cover several weeks to several months or more The Climate Prediction Center (CPC) within the NCEP within the NWS produces these forecasts Long-range forecasts use climatology, statistics, numerical modes, and subjective judgment CPC also produces a seasonal outlook, or a forecast for the entire season (colder than normal, etc) © 2013 Pearson Education, Inc.
  • 13. Weather Maps and Images Surface mapsSurface maps depict prevailing conditions, pressure distributions, location of fronts, etc.Both large-scale features and station models are included in surface mapsThink about all the inferences you can make from a large scale surface map © 2013 Pearson Education, Inc. Surface Maps: Station Models © 2013 Pearson Education, Inc. Weather Maps and ImagesUpper-Level MapsPlotted twice daily for different pressure levels. 850mb Maps 850mb level typically found about 1.5km (1mi) above sea level Heights are plotted as solid lines while isotherms are dashed lines These charts are useful in determining daily maximum surface temperatures for non- mountainous regionsSummer - the surface maximum about 27 ºF greater than the 850mb temperatureWinter - this number reduces to 16 ºF and 22 ºF for fall and spring © 2013 Pearson Education, Inc. Weather Maps and ImagesUpper-Level Maps © 2013 Pearson Education, Inc. Weather Maps and ImagesUpper-Level Maps 700mb Maps700mb level typically found about 3km (2mi)
  • 14. above sea level. Very similar to the 850mb map.Useful for observing short waves and the formation of mid-latitude cyclones, and tracking air mass thunderstorms. © 2013 Pearson Education, Inc. Weather Maps and ImagesUpper-Level Maps 500mb Maps 500mb level typically found about 5.6km (18,000ft) above sea level. Used as a representation of the middle atmosphere and helpful when viewing the omega high. © 2013 Pearson Education, Inc. Weather Maps and ImagesUpper-Level Maps © 2013 Pearson Education, Inc. Weather Maps and ImagesIf you watch the news, you’re likely to see satellite ImagesVisible images describe atmospheric features from the perspective of an observer from space. Sunlight reflected off of cloud tops. Available only during daylight. Infrared images display longwave radiation emitted, not reflected from clouds, the lower atmosphere, or the surface. Clear skies appear very dark on these images. Water vapor images are created by detecting radiation around 6.7µm where water vapor is an effective radiator. © 2013 Pearson Education, Inc. Weather Maps and ImagesSatellite Images Visible
  • 15. Infrared Water Vapor © 2013 Pearson Education, Inc. Weather Maps and ImagesRadar ImagesRadar images display atmospheric conditions by measuring the amount of radiation backscattered from liquid and solid particles in the atmosphere, mainly cloudsA receiver records the intensity and return time of the echoed pulses (indicative of the number and size of droplets and crystals)The radar unit rotates 360ºA large volume of air is examined, giving data on the distribution of clouds, height of cloud tops and bases, and the intensity of precipitation.Each unit surveys a 400km (200mi) surrounding area © 2013 Pearson Education, Inc. Weather Maps and ImagesRadar Images © 2013 Pearson Education, Inc. Thermodynamic Diagrams The maps and images we have examined so far concern 2D imaging. These fail to provide detailed vertical information.Lifted Index- created in the mid 1950’s, combines avg humidity in the lowest km of the atmosphere, the predicted max temp for the day, and the temp at the 500mb into one valueThunderstorm potential is actually determined through the lifted index. Negative values indicate there is sufficient water vapor and stability conditions to create thunderstorms.Potential is indicated through the magnitude of the negative values LI 6 or Greater, Very Stable Conditions LI Between 1 and 6 : Stable Conditions, Thunderstorms Not
  • 16. Likely LI Between 0 and -2 : Slightly Unstable, Thunderstorms Possible, With Lifting Mechanism (i.e., cold front, daytime heating, ...) LI Between -2 and -6 : Unstable, Thunderstorms Likely, Some Severe With Lifting Mechanism LI Less Than -6: Very Unstable, Severe Thunderstorms Likely With Lifting Mechanism © 2013 Pearson Education, Inc. End of Chapter 13 http://www.dnr.sc.gov/climate/sco/Education/wxmap/wxmap.ph p