Kein Folientitel

1
Meteo-GRID Performing Local Weather
Forecast Using GRID Computing C.-J. Lenz, D.
Majewski Deutscher Wetterdienst
(DWD) e-mail claus-juergen.lenz_at_dwd.de
detlev.majewski_at_dwd.de
2
Contents

• Introduction to Meteo-GRID
• Tasks of Meteo-GRID, data flow in Meteo-GRID
• Presentation of the GUI of the LM-Plugin
• Application example

3
Goal of Meteo-GRID
To provide high-resolution short range weather
forecasts with the relocatable nonhydrostatic
Lokal-Modell (LM) of the Deutscher Wetterdienst
(DWD) for any desired region in the world via
Internet and EUROGRID
4
Meteo-GRID
- ... is one of the application-specific GRID
workpackages of EUROGRID - ...is done by
close collaboration of three EUROGRID
partners - Deutscher Wetterdienst
(DWD) - Centro Svizzero di Calcolo
Scientifico (CSCS) - Centre Nationale de
Récherche Scientifique - Institut du
Développement et des Ressources en
Informatique Scientifique (CNRS-IDRIS)
5
Whats special about Meteo-GRID ? (1)
- Real-time weather forecasting is a
time-critical task, a 48-h forecast must be
completed in less than 60 minutes - LM is a
large MPP code of about 100.000 lines of code,
Fortran95, MPI for message passing - Weather
forecasting is computationally expensive 4000
Flop/grid point and time step 15 Tflop for a
48-h forecast (160 x 160 x 35 grid points,
grid resolution 7 km) 3000 sec at a
sustained speed of 5 Gflop/s
6
Whats special about Meteo-GRID ? (2)
- Weather forecasting requires high band width
for data transfer Forecast data (at hourly
intervals) (481) x 20 Mbyte 1 GByte
Transfer in less than 1 hour 2.4 Mbit/sec -
Weather has large social and economic impact
worldwide (storms, floodings, snow, freezing rain
...)
7
Disasters (1)
_at_dpa
_at_ Behr Wojcik
8
Disasters (2)
www.dresden.de
www.dresden.de
www.dresden.de
_at_dpa
9
Tasks of Meteo-GRID (1)
- Selection of model domain,
grid resolution, forecast date
and forecast range,
forecast products in a Graphical User
Interface (GUI)
10
Tasks of Meteo-GRID (2)
- Derivation of topographical data for the
selected model domain from high-resolution
(1 km x 1 km) data sets at DWD
water peat clay loamy clay loam loamy
sand sand rock, concrete ice, glacier undefined
11
Tasks of Meteo-GRID (3)
- Extraction of initial data and lateral
boundary data sets for LM from result data
of the global model GME of DWD from the
ORACLE data base
12
Tasks of Meteo-GRID (4)
- Interpolation of GME results to the LM model
grid (interpolation program GME2LM) is
performed on any supercomputer available in
EUROGRID - LM forecast run is performed on any
supercomputer available in EUROGRID
13
Tasks of Meteo-GRID (5)
- Forecast data (up to 20 GByte in GRIB code)
are returned to the user via the internet and
EUROGRID AND/OR - Visualization of LM
forecasts ( 1 to 5 dimensional graphics) on a
computer within EUROGRID or on the users
computer - Verification and validation of LM
forecasts for any region worldwide
14
Information and Data Flow (1)
1. Set up of LM-domain
User
DWD
Global topographical data set (GIS), 7 GByte
GUI Selection of - domain corners - grid
resolution - forecast date - forecast range -
forecast products
Calculation at DWD on SGI Origin, IBM RS/6000-SP
( 15 min. wallclock time)
15
Information and Data Flow (2)
2. Define forecast date and range
User
DWD
GME data base (Oracle)
Extraction of GME results covering the LM domain
at DWD (SGI Origin O 2000, IBM-RS/6000-SP) 30
min. wallclock time
16
Information and Data Flow (3)
3. Perform GME2LM interpolation on EUROGRID HPC 1
User
DWD
HPC 1
1 MByte
Topographical data set
GME2LM interpolation of GME results to LM grid
Initial and lateral boundary data sets on GME grid
50 MByte
17
Information and Data Flow (4)
4. Perform LM-forecast on EUROGRID HPC 2
User
HPC 2
HPC 1
50 MByte to 20 GByte
LM calculation of weather forecast
LM-forecast data visualization
50 MByte to 20 GByte
18
Information and Data Flow (5)
5. Visualization of LM results
HPC 2
User
forecast products
Visualization of model results
up to 1 MByte
19
GUI of the LM Plugin (1)
20
GUI of the LM Plugin (2)
21
GUI of the LM Plugin (3)
22
GUI of the LM Plugin (4)
23
GUI of the LM Plugin (5)
24
GUI of the LM Plugin (6)
25
Application example

• Selection of hurricane Isabel /US East Coast,
• 18 - 20 August 2003)

26
(No Transcript)
27
(No Transcript)
28
(No Transcript)
29
(No Transcript)
30
(No Transcript)
31
(No Transcript)
32
(No Transcript)
33
(No Transcript)
34
(No Transcript)
35
(No Transcript)
36
(No Transcript)
37
(No Transcript)
38
(No Transcript)
39
(No Transcript)
40
(No Transcript)
41
(No Transcript)
42
(No Transcript)
43
(No Transcript)
44
(No Transcript)
45
(No Transcript)
46
(No Transcript)
47
(No Transcript)
48
(No Transcript)
49
(No Transcript)
50
(No Transcript)
51
(No Transcript)
52
(No Transcript)
53
(No Transcript)
54
(No Transcript)
55
(No Transcript)
56
(No Transcript)
57
(No Transcript)
58
(No Transcript)
59
(No Transcript)
60
(No Transcript)
61
(No Transcript)
62
(No Transcript)
63
(No Transcript)
64
(No Transcript)
65
(No Transcript)
66
(No Transcript)
67
(No Transcript)
68
(No Transcript)
69
(No Transcript)
70
(No Transcript)
71
(No Transcript)
72
(No Transcript)
73
(No Transcript)
74
(No Transcript)