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Introduction to Meteorology
and Weather Forecasting
ENVI1400 : 10 Credits
Dr. Ian Brooks
School of Earth & Environment : ibrooks@env.leeds.ac.uk
ENVI1400 : Meteorology and Forecasting : lecture 1 2
Course Website & Contact
• http://www.env.leeds.ac.uk/~ibrooks/envi1400
– Notes, links, and data required for forecast exercises
will be made available via this site throughout the
course
– Met. charts and satellite imagery are collected
automatically and updated every 6, 12, or 24 hours
• Email: ibrooks@env.leeds.ac.uk
• Office : room 3.25 School of Earth &
Environment (Environment Building)
ENVI1400 : Meteorology and Forecasting : lecture 1 3
Reading List
Core Texts:
• ‘Atmosphere, Weather & Climate’. Barry, Roger G., and Chorley,
Richard J; Routledge, 2003.
– Chapters 3, 4, and 5 particularly relevant.
• ‘Meteorology Today: An Introduction to Weather, Climate, and
The Environment’, Ahrens, C. Donald; Thomson/Brooks/Cole,
2003.
More Advanced Texts:
(recommended for B.Sc. Meteorology & Atmospheric Science)
• ‘Fundamentals of Weather and Climate’. McIlveen, Robin; Chapman & Hall,
1992.
• ‘The Physics of Atmospheres’. Houghton, J.; Cambridge University Press,
2002.
Of Interest – History & Biography (not in library):
• ‘Air Apparent: How Meteorologists Learned to Map, Predict, and Dramatize
Weather’. Monmonier, Mark; University of Chicago Press, 1999.
• ‘FitzRoy: The Remarkable Story of Darwin's Captain and the Invention of
the Weather Forecast’ . Gribbin, John & Mary; Headline, 2003.
ENVI1400 : Meteorology and Forecasting : lecture 1 4
Met. Resources Online
http://ww2010.atmos.uiuc.edu/(Gh)/guides/mtr/home.rxml
– Basic meteorology course
http://www.metoffice.com/education/index.html
– Guides to interpretation of charts and imagery, and access to some
current data
http://www.weather.org.uk/
– A wide variety of current meteorological data, analysis and forecast
charts, etc. Links to lots of other sites.
http://www.wetterzentrale.de/topkarten/fsfaxsem.html
– Analysis and forecast charts for Europe from a variety of agencies and
models (including UK Met Office)
http://grads.iges.org/pix/euro.fcst.html
– Analysis & forecast charts for Europe issued by National Centers for
Environmental Prediction.
http://amsglossary.allenpress.com/glossary
– ‘Glossary of Meteorology’ from the American Meteorological Society
ENVI1400 : Meteorology and Forecasting : lecture 1 5
ENVI1400 : Meteorology and Forecasting : lecture 1 6
040909
ENVI1400 : Meteorology and Forecasting : lecture 1 7
040914
ENVI1400 : Meteorology and Forecasting : lecture 1 8
Course Outline
• 10 Lectures (Monday 12-1, Parkinson B10)
– Introduce basic concepts of meteorology
– Emphasis on physical processes not
theoretical or mathematical treatments
• ~8 x 1-hour workshops
(Thursday 2-3 Parkinson B11)
– Hands-on forecasting exercises
– Problem solving
– worksheets
ENVI1400 : Meteorology and Forecasting : lecture 1 9
2002-01-31 12:05
ENVI1400 : Meteorology and Forecasting : lecture 1 10
ENVI1400 : Meteorology and Forecasting : lecture 1 11
Meteorology, Weather, & Climate
• Meteorology is the study of phenomena
of the atmosphere – includes the
dynamics, physics, and chemistry of the
atmosphere. (from the Greek meteōros – ‘lofty’)
• More commonly thought of as restricted to
the dynamics and thermodynamics of the
atmosphere as it affects human life.
ENVI1400 : Meteorology and Forecasting : lecture 1 12
• Weather
– The state of the atmosphere; mainly with respect to its
effects upon human activities. Short term variability of
the atmosphere (time scales of minutes to months).
Popularly thought of in terms of: temperature, wind,
humidity, precipitation, cloudiness, brightness, and
visibility.
– A category of individual/combined atmospheric
phenomena which describe the conditions at the time
of an observation.
• Climate
– Long term statistical description of the atmospheric
conditions, averaged over a specified period of time -
usually decades.
ENVI1400 : Meteorology and Forecasting : lecture 1 13
Why study meteorology?
• Warning of severe
weather
• Agriculture
– Timing of planting,
harvesting, etc to avoid bad
weather, hazards to
livestock
• Transport & services
– Shipping, aviation, road
gritting, flood warnings,…
• Commerce
– Should a supermarket
order BBQs and icecream,
or umbrellas?
November 14, 1854: A sudden storm
devastated a joint British-French fleet
near Balaklava in the Black Sea.
French astronomer Urbain Jean
Joseph Le Verrier (1811-1877)
demonstrated that telegraphed
observations could have given the
ships a day to prepare.
In England, Capt. Robert FitzRoy
(1805-1865) started the
Meteorological Office as a small
department of the board of trade. On
September 3rd 1860, 15 stations
began reporting 8am observations.
February 5,1861 started issuing storm
warnings to ports.
ENVI1400 : Meteorology and Forecasting : lecture 1 14
What do we want to know?
• Temperature
• Wind speed
• Wind direction
• Clouds
– Type, extent, altitude
• Precipitation?
– Type, amount, location
• Visibility
– Fog, haze
• Humidity
• Trends in all of these
• Timing of significant
changes
• Occurrence of
extreme events
ENVI1400 : Meteorology and Forecasting : lecture 1 15
How far ahead?
• Ideally:
– as far ahead as possible!
• In practice
– 3-5 days is the limit of
reasonable quantitative
forecasts.
– Medium-range forecasts
(5-10) days are made, but
limited to large-scale
pressure field and winds,
NOT detailed conditions.
ENVI1400 : Meteorology and Forecasting : lecture 1 16
ENVI1400 : Meteorology and Forecasting : lecture 1 17
Methods of Forecasting
• Persistence Method:
– Tomorrow will be much the same as today
Today’s Weather Tomorrow’s Forecast
Clear skies, 19C, low winds Clear skies, 19C, low winds
Works well when conditions change only slowly. Also surprisingly effective for general forecasts of
periods >10 days, for which most other – more advanced – methods lose all their skill. Several weeks
of hot sunny weather often followed by several more.
ENVI1400 : Meteorology and Forecasting : lecture 1 18
Statistical methods
Simple statistics: climatology
• Given a long record of past weather on every day of the year,
forecast most frequently observed weather for day of interest.
Works well, provided the general conditions are similar to the ‘usual’ or most
common conditions for the time of year. Requires long records – many years – to
provide reasonable statistics
Analog method
• Given a long record of the sequence of weather conditions, look for
a past sequence that resembles the last few days to weeks, and
forecast whatever followed it.
Difficult to use effectively because of difficulty in finding a close match
between current and past conditions. Again, requires records going
back many years.
ENVI1400 : Meteorology and Forecasting : lecture 1 19
Trends:
• Estimate the speed at
which features – fronts,
pressure centres, etc – are
moving. Allows estimation
of time of arrival.
• Requires measurements
over a wide area.
• Applied over a period of a
few hours this method is
called NowCasting. Very
effective use of rainfall
radar imagery.
ENVI1400 : Meteorology and Forecasting : lecture 1 20
Physical Understanding
• An extensive set of measurements over a wide
area, coupled with an understanding of the
physical processes allows general conditions to
be assessed and forecasts to be made for a
wide area a day or two ahead.
ENVI1400 : Meteorology and Forecasting : lecture 1 21
MetOffice Analysis : 2004-04-24 12:00
ENVI1400 : Meteorology and Forecasting : lecture 1 22
NCEP Analysis 2004-04-24 12:00
ENVI1400 : Meteorology and Forecasting : lecture 1 23
AVHRR
False colour composite
2004-04-24 16:34
ENVI1400 : Meteorology and Forecasting : lecture 1 24
Physical Processes
• Thermal – atmospheric dynamics are
ultimately driven by temperature gradients
arising from uneven solar heating
• Pressure gradient forces – immediate
cause of horizontal motions
• Moisture – effect of water vapour content
on air density, and release of latent heat
has a major impact on convection
ENVI1400 : Meteorology and Forecasting : lecture 1 25
Numerical Weather Prediction
• Physical processes are reduced to a (simplified)
set of equations that describe changes of
physical quantities in time & space. These are
initialized with latest observations and stepped
forward in time to produce a forecast.
• Requires:
– an extensive set of simultaneous measurements over
a wide area (synoptic observations) to initialize it
– Fast, powerful computer
– Adequate representation of the physical processes
ENVI1400 : Meteorology and Forecasting : lecture 1 26
First numerical forecast made in
1922 by Lewis Fry Richardson.
Took several months, calculating
by hand, to produce a 6-hour
forecast.
It failed…badly!
But, it demonstrated the means of
producing quantitative forecasts. Its
failure has since been shown to be
due to the limited understanding of
some atmospheric processes at the
time.
L. F. Richardson’s computational grid: Pressure is
determined in squares marked ‘P’, momentum in
those marked ‘M’.
ENVI1400 : Meteorology and Forecasting : lecture 1 27
First successful forecast: 1950 by
Jule Charney, Fjörtoft, and von
Neumann, using ENIAC.
A 24-hour forecast took 33 days
to produce, working day and
night.
ENVI1400 : Meteorology and Forecasting : lecture 1 28
Modern forecast models include
the whole globe at a horizontal
resolution of up to ~1° (~111km).
Region of interest modelled at
~10km resolution.
Forecasts made every 12 or 24
hours for 0000 and 1200 GMT
(sometimes 0600 and 1800) for
up to 5 days ahead.
Meteo-France MetOffice
ENVI1400 : Meteorology and Forecasting : lecture 1 29
Summary
• Meteorology is important to a wide variety
of activities
• A huge array of meteorological information
is freely available
• With a basic understanding of the physical
processes involved YOU can make timely
and accurate forecasts

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01 introduction

  • 1. Introduction to Meteorology and Weather Forecasting ENVI1400 : 10 Credits Dr. Ian Brooks School of Earth & Environment : ibrooks@env.leeds.ac.uk
  • 2. ENVI1400 : Meteorology and Forecasting : lecture 1 2 Course Website & Contact • http://www.env.leeds.ac.uk/~ibrooks/envi1400 – Notes, links, and data required for forecast exercises will be made available via this site throughout the course – Met. charts and satellite imagery are collected automatically and updated every 6, 12, or 24 hours • Email: ibrooks@env.leeds.ac.uk • Office : room 3.25 School of Earth & Environment (Environment Building)
  • 3. ENVI1400 : Meteorology and Forecasting : lecture 1 3 Reading List Core Texts: • ‘Atmosphere, Weather & Climate’. Barry, Roger G., and Chorley, Richard J; Routledge, 2003. – Chapters 3, 4, and 5 particularly relevant. • ‘Meteorology Today: An Introduction to Weather, Climate, and The Environment’, Ahrens, C. Donald; Thomson/Brooks/Cole, 2003. More Advanced Texts: (recommended for B.Sc. Meteorology & Atmospheric Science) • ‘Fundamentals of Weather and Climate’. McIlveen, Robin; Chapman & Hall, 1992. • ‘The Physics of Atmospheres’. Houghton, J.; Cambridge University Press, 2002. Of Interest – History & Biography (not in library): • ‘Air Apparent: How Meteorologists Learned to Map, Predict, and Dramatize Weather’. Monmonier, Mark; University of Chicago Press, 1999. • ‘FitzRoy: The Remarkable Story of Darwin's Captain and the Invention of the Weather Forecast’ . Gribbin, John & Mary; Headline, 2003.
  • 4. ENVI1400 : Meteorology and Forecasting : lecture 1 4 Met. Resources Online http://ww2010.atmos.uiuc.edu/(Gh)/guides/mtr/home.rxml – Basic meteorology course http://www.metoffice.com/education/index.html – Guides to interpretation of charts and imagery, and access to some current data http://www.weather.org.uk/ – A wide variety of current meteorological data, analysis and forecast charts, etc. Links to lots of other sites. http://www.wetterzentrale.de/topkarten/fsfaxsem.html – Analysis and forecast charts for Europe from a variety of agencies and models (including UK Met Office) http://grads.iges.org/pix/euro.fcst.html – Analysis & forecast charts for Europe issued by National Centers for Environmental Prediction. http://amsglossary.allenpress.com/glossary – ‘Glossary of Meteorology’ from the American Meteorological Society
  • 5. ENVI1400 : Meteorology and Forecasting : lecture 1 5
  • 6. ENVI1400 : Meteorology and Forecasting : lecture 1 6 040909
  • 7. ENVI1400 : Meteorology and Forecasting : lecture 1 7 040914
  • 8. ENVI1400 : Meteorology and Forecasting : lecture 1 8 Course Outline • 10 Lectures (Monday 12-1, Parkinson B10) – Introduce basic concepts of meteorology – Emphasis on physical processes not theoretical or mathematical treatments • ~8 x 1-hour workshops (Thursday 2-3 Parkinson B11) – Hands-on forecasting exercises – Problem solving – worksheets
  • 9. ENVI1400 : Meteorology and Forecasting : lecture 1 9 2002-01-31 12:05
  • 10. ENVI1400 : Meteorology and Forecasting : lecture 1 10
  • 11. ENVI1400 : Meteorology and Forecasting : lecture 1 11 Meteorology, Weather, & Climate • Meteorology is the study of phenomena of the atmosphere – includes the dynamics, physics, and chemistry of the atmosphere. (from the Greek meteōros – ‘lofty’) • More commonly thought of as restricted to the dynamics and thermodynamics of the atmosphere as it affects human life.
  • 12. ENVI1400 : Meteorology and Forecasting : lecture 1 12 • Weather – The state of the atmosphere; mainly with respect to its effects upon human activities. Short term variability of the atmosphere (time scales of minutes to months). Popularly thought of in terms of: temperature, wind, humidity, precipitation, cloudiness, brightness, and visibility. – A category of individual/combined atmospheric phenomena which describe the conditions at the time of an observation. • Climate – Long term statistical description of the atmospheric conditions, averaged over a specified period of time - usually decades.
  • 13. ENVI1400 : Meteorology and Forecasting : lecture 1 13 Why study meteorology? • Warning of severe weather • Agriculture – Timing of planting, harvesting, etc to avoid bad weather, hazards to livestock • Transport & services – Shipping, aviation, road gritting, flood warnings,… • Commerce – Should a supermarket order BBQs and icecream, or umbrellas? November 14, 1854: A sudden storm devastated a joint British-French fleet near Balaklava in the Black Sea. French astronomer Urbain Jean Joseph Le Verrier (1811-1877) demonstrated that telegraphed observations could have given the ships a day to prepare. In England, Capt. Robert FitzRoy (1805-1865) started the Meteorological Office as a small department of the board of trade. On September 3rd 1860, 15 stations began reporting 8am observations. February 5,1861 started issuing storm warnings to ports.
  • 14. ENVI1400 : Meteorology and Forecasting : lecture 1 14 What do we want to know? • Temperature • Wind speed • Wind direction • Clouds – Type, extent, altitude • Precipitation? – Type, amount, location • Visibility – Fog, haze • Humidity • Trends in all of these • Timing of significant changes • Occurrence of extreme events
  • 15. ENVI1400 : Meteorology and Forecasting : lecture 1 15 How far ahead? • Ideally: – as far ahead as possible! • In practice – 3-5 days is the limit of reasonable quantitative forecasts. – Medium-range forecasts (5-10) days are made, but limited to large-scale pressure field and winds, NOT detailed conditions.
  • 16. ENVI1400 : Meteorology and Forecasting : lecture 1 16
  • 17. ENVI1400 : Meteorology and Forecasting : lecture 1 17 Methods of Forecasting • Persistence Method: – Tomorrow will be much the same as today Today’s Weather Tomorrow’s Forecast Clear skies, 19C, low winds Clear skies, 19C, low winds Works well when conditions change only slowly. Also surprisingly effective for general forecasts of periods >10 days, for which most other – more advanced – methods lose all their skill. Several weeks of hot sunny weather often followed by several more.
  • 18. ENVI1400 : Meteorology and Forecasting : lecture 1 18 Statistical methods Simple statistics: climatology • Given a long record of past weather on every day of the year, forecast most frequently observed weather for day of interest. Works well, provided the general conditions are similar to the ‘usual’ or most common conditions for the time of year. Requires long records – many years – to provide reasonable statistics Analog method • Given a long record of the sequence of weather conditions, look for a past sequence that resembles the last few days to weeks, and forecast whatever followed it. Difficult to use effectively because of difficulty in finding a close match between current and past conditions. Again, requires records going back many years.
  • 19. ENVI1400 : Meteorology and Forecasting : lecture 1 19 Trends: • Estimate the speed at which features – fronts, pressure centres, etc – are moving. Allows estimation of time of arrival. • Requires measurements over a wide area. • Applied over a period of a few hours this method is called NowCasting. Very effective use of rainfall radar imagery.
  • 20. ENVI1400 : Meteorology and Forecasting : lecture 1 20 Physical Understanding • An extensive set of measurements over a wide area, coupled with an understanding of the physical processes allows general conditions to be assessed and forecasts to be made for a wide area a day or two ahead.
  • 21. ENVI1400 : Meteorology and Forecasting : lecture 1 21 MetOffice Analysis : 2004-04-24 12:00
  • 22. ENVI1400 : Meteorology and Forecasting : lecture 1 22 NCEP Analysis 2004-04-24 12:00
  • 23. ENVI1400 : Meteorology and Forecasting : lecture 1 23 AVHRR False colour composite 2004-04-24 16:34
  • 24. ENVI1400 : Meteorology and Forecasting : lecture 1 24 Physical Processes • Thermal – atmospheric dynamics are ultimately driven by temperature gradients arising from uneven solar heating • Pressure gradient forces – immediate cause of horizontal motions • Moisture – effect of water vapour content on air density, and release of latent heat has a major impact on convection
  • 25. ENVI1400 : Meteorology and Forecasting : lecture 1 25 Numerical Weather Prediction • Physical processes are reduced to a (simplified) set of equations that describe changes of physical quantities in time & space. These are initialized with latest observations and stepped forward in time to produce a forecast. • Requires: – an extensive set of simultaneous measurements over a wide area (synoptic observations) to initialize it – Fast, powerful computer – Adequate representation of the physical processes
  • 26. ENVI1400 : Meteorology and Forecasting : lecture 1 26 First numerical forecast made in 1922 by Lewis Fry Richardson. Took several months, calculating by hand, to produce a 6-hour forecast. It failed…badly! But, it demonstrated the means of producing quantitative forecasts. Its failure has since been shown to be due to the limited understanding of some atmospheric processes at the time. L. F. Richardson’s computational grid: Pressure is determined in squares marked ‘P’, momentum in those marked ‘M’.
  • 27. ENVI1400 : Meteorology and Forecasting : lecture 1 27 First successful forecast: 1950 by Jule Charney, Fjörtoft, and von Neumann, using ENIAC. A 24-hour forecast took 33 days to produce, working day and night.
  • 28. ENVI1400 : Meteorology and Forecasting : lecture 1 28 Modern forecast models include the whole globe at a horizontal resolution of up to ~1° (~111km). Region of interest modelled at ~10km resolution. Forecasts made every 12 or 24 hours for 0000 and 1200 GMT (sometimes 0600 and 1800) for up to 5 days ahead. Meteo-France MetOffice
  • 29. ENVI1400 : Meteorology and Forecasting : lecture 1 29 Summary • Meteorology is important to a wide variety of activities • A huge array of meteorological information is freely available • With a basic understanding of the physical processes involved YOU can make timely and accurate forecasts

Editor's Notes

  • #2: ENVI1400 : Meteorology and Forecasting : lecture 1
  • #4: ENVI1400 : Meteorology and Forecasting : lecture 1
  • #14: ENVI1400 : Meteorology and Forecasting : lecture 1
  • #18: ENVI1400 : Meteorology and Forecasting : lecture 1
  • #27: ENVI1400 : Meteorology and Forecasting : lecture 1
  • #28: ENVI1400 : Meteorology and Forecasting : lecture 1
  • #29: ENVI1400 : Meteorology and Forecasting : lecture 1