Weather Forecast Assignment

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chapter13weatherforecasting.ppt

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Thanks Alaina!

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Derecho

(Putnam county, OH)  6/29/2012

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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

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500 mb heights showed no obvious disturbances to indicate derecho development, high press ridge in NW, 45mph at height

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Check out the dew points, the temp ahead of the front, ELR

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High CAPE. CAPE is directly related to the maximum potential vertical speed within an updraft Circular shape indicates what type of storm?

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The storms organized into a large bow echo in eastern
Indiana and raced east-southeast at around 60 mph

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Doppler Reflectivity and Base Velocity

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Convective Update

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Progression

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Forecasters undershot warning areas

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So, it was a missed forecast with severe consequences. What to do differently?

  • Establishing a 24-hour warning point and emergency operations center
  • Having more than one method of receiving severe weather forecasts and alerting the public
  • Creating a system that monitors local weather conditions
  • Promoting the significance of public readiness through community seminars
  • Developing a formal hazardous weather plan that includes training severe weather spotters and holding exercises

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The public perception was that even with the warnings, stronger words were needed to make them take heed

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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!

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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?

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Forecasting

  • Start 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!

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Weather Forecasting—Both Art and Science

  • National 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 NOAA
  • http://preview.weather.gov/edd/
  • https://www.youtube.com/watch?v=2XsFnh-7E2w
  • Every meteorologist has a set of procedures for analyzing the weather, given the situation. There is no defined routine.
  • Technology has changed things drastically
  • The 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.).

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Typical Day

  • Starts with verbal briefing from a meteorologist finishing shift
  • Examine 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 making
  • Major weather systems are just the tip of the iceberg
  • The first step would often be to check cloud cover: Cloud cover can obviously indicate precip, but also is needed to determine temp
  • You have determine whether the clouds will stick around, thin vs thick, clear skies mean clouds could move in
  • If its 5 degrees warmer than yesterday AM, then PM will likely be 5 degrees warmer

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Weather Forecasting—Both Art and Science

  • Forecast maps created by the computer models often depict the predicted distribution of weather variables directly as an application of physical laws.
  • Modeling, predicting behavior
  • For example, enter in temp, press, upper level flows, shear, etc, etc

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Statistical

  • Other models rely on statistical methods to assist the forecaster.
  • Statistically, physical models could tell temp zones in NA, statistics can “fill in the blanks”

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Other forecasts

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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.

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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.”

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Types of Forecasts
Prob of Precip Map

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Thanks Brianna!

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Assessing Forecasts

  • Measures are needed when comparing one forecast to another, decide which method is best, and when
  • Assessment measures are needed by those responsible for developing and administering forecasting programs to ensure best practices, justify expenditures, determining ROI
  • The 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

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Assessing Forecasts

  • Measures 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 ROI
  • The 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

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Data Acquisition and Dissemination: How does the NWS get all that data?

  • Data collection is an international effort, blended borders
  • The 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.

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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.

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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 Modeling

  • Models differ but they all involve three phases: analysis, prediction, and postprocessing.

Analysis Phase

  • Observation 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)

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Forecast Procedures and Products

  • Phases in Numerical Modeling

Prediction Phase

  • Based 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 future
  • Equations solved and advanced through various forecasting periods
  • Billions of equations solved at each step

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Forecast Procedures and Products

  • Phases in Numerical Modeling

Postprocessing Phase

  • A 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 variables
  • Forecasters 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

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Forecast Procedures and Products

  • ABC, 3 separate models, forecast, and reality

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Forecast Procedures and Products

  • Medium-Range Forecasts
  • Medium 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

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Forecast Procedures and Products

  • Predicting 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 future
  • If two models are run with different initial variables, Chaos can occur (butterfly effect)

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Forecast Procedures and Products

  • Long-Range Forecasts and Seasonal Outlooks
  • Long-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)

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Weather Maps and Images

Surface maps

  • Surface maps depict prevailing conditions, pressure distributions, location of fronts, etc.
  • Both large-scale features and station models are included in surface maps
  • Think about all the inferences you can make from a large scale surface map

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Surface Maps: Station Models

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Weather Maps and Images

  • Upper-Level Maps
  • Plotted 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 regions
  • Summer - the surface maximum about 27 ºF greater than the 850mb temperature
  • Winter - this number reduces to 16 ºF and 22 ºF for fall and spring

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Weather Maps and Images

  • Upper-Level Maps

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Weather Maps and Images

  • Upper-Level Maps

700mb Maps

  • 700mb 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.

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Weather Maps and Images

  • Upper-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.

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Weather Maps and Images

  • Upper-Level Maps

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Weather Maps and Images

  • If you watch the news, you’re likely to see satellite Images
  • Visible 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.

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Weather Maps and Images

  • Satellite Images

Visible

Infrared

Water Vapor

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Weather Maps and Images

  • Radar Images
  • Radar images display atmospheric conditions by measuring the amount of radiation backscattered from liquid and solid particles in the atmosphere, mainly clouds
  • A 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 360º
  • A 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

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Weather Maps and Images

  • Radar Images

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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 value
  • Thunderstorm 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


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