Global Weather Prediction -Possible developments in the next decades- - PowerPoint PPT Presentation

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Global Weather Prediction -Possible developments in the next decades-

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Title: Global Weather Prediction -Possible developments in the next decades-


1
Global Weather Prediction-Possible developments
in the next decades-
  • Professor Lennart Bengtsson
  • ESSC, University of Reading
  • MPI for Meteorology, Hamburg

2
Global Weather Prediction-Possible developments
in the next decades-
  • Introduction (some personal remarks)
  • Predictive skill in NWP
  • The future of NWP
  • Concluding remarks

3
The First Operational NWP
  • October 1954, Dalamanövern
  • Meteorological Institute, Stockholm
  • and the Swedish Airforce

4
The First Operational NWP
5
The First Operational NWP
6
The First Operational NWP
7
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8
Predictive skill and Predictability Northern
hemisphere 500hPa height Winter
9
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10
Predicting super hurricane Floyd at ECMWF
11
The future of NWP
  • Modeling and data-assimilation
  • Extended predictions
  • Computational possibilities
  • Provisions of forecast information to users

12
L.F. Richardson, 1922Imagine a large hall like
a theatre, except that the circles and the
galleries go rightround through the space
usually occupied by the stage. The walls of this
chamber are painted to form a map of the globe.
The ceiling represents the north polar regions,
the tropics in the upper circle, and the
antarctic in the pit. A myriad computers are at
work upon the weather of the part of the map
where each sits, but each computer attends only
to one equation or part of an equation. The work
of each region is co-ordinated by an official of
higher rank. Numerous little night signs
display the instantaneous values so that
neighbouring computers can read them. From the
floor of the pit a tall pillar rises to half the
height of the hall. It carries a large pulpit on
its top. In this sits the man in charge of the
whole theatre. One of his duties is to maintain a
uniform speed of progress in all parts of the
globe. In this respect he is like the conductor
of an orchestra in which the instruments are
slide-rules and calculating machines. But instead
of waving a baton he turns a beam of rosy light
upon any region that is running ahead of the
rest, and a beam of blue light upon those who are
behindhand.Four senior clerks at the central
pulpit are collecting the future weather as its
is being computed, and despatching it by
pneumatic carrier to a quiet room. There it will
be coded and telephoned to the radio transmitting
stations
13
Richardsons dream
14
Modeling and data-assimilation
  • Ensemble prediction
  • Non-hydrostatic models
  • Resolution issues
  • Physical parameterization
  • Data-assimilation

15
Ensemble prediction
16
  • Predictability of weather

17
1 Feb 1953 00UTCSurface Pressure Gusts
Analysis
18
Surface Pressure 1 Feb 1953 00UTC Analysis
Forecast 1 Day
19
Surface Pressure 1 Feb 1953 00UTC Analysis
Forecast 1.5 Day
20
Surface Pressure 1 Feb 1953 00UTC Analysis
Forecast 2 Day
21
10 m Gusts 1 Feb 1953 00UTC
Analysis Forecast 1 Day
22
10 m Gusts 1 Feb 1953 00UTC
Analysis Forecast 1.5 Day
23
10 m Gusts 1 Feb 1953 00UTC
Analysis Forecast 2 Day
24
Ensemble Forecasts D3.5
25
Ensemble Forecasts D4.5
26
Data assimilation
  • The physical aspects of data-assimilation
  • ( What are the key observations?)
  • Coupled atmosphere - ocean models

27
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31
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32
Extended predictionWhere are the limits?
33
Predictive skill and Predictability Northern
hemisphere 500hPa height Winter
34
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35
An example of potential super-predictability
  • Simulation of QBO
  • Giorgetta et al., 2003
  • ECHAM 5 T42/L90

36
Supercomputer performance
  • 1970s Mega flops
  • 1990s Giga flops
  • 2000s Tera flops
  • 2010s Peta flops
  • 2020s Exa flops?

37
Weather on InternetICM Warsaw
  • 48hr forecasts four times a day
  • (http//weather.icm.edu.pl/english/weathfrcst/weat
    herforecast.html)
  • Meteogrammes
  • (http//weather.icm.edu.pl/index2eng.php?ver)

38
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40
meteorogram number x 4, y 17
19.05.2004 , start t0 000 GMT
41
Concluding remarksNWP in the future
  • Non-hydrostatic models and advanced
    data-assimilation
  • Increased skill in predicting extreme events
  • Ensemble prediction for all time-scales
  • Major improvements in extended prediction
  • Very powerful computers and communication systems
    will change the way NWP is being done today
  • Major changes in the global structure of NWP
  • Many users will be making their own forecasts

42
END
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