Transcript SEEGRIDSCI-NA4-BG-EnvVO - Indico

SEE-GRID-SCI
Grid applications for air
quality studies in Bulgaria
www.see-grid-sci.eu
Environmental VO, SEE-GRID-SCI
Kostadin Ganev, Nikolai Miloshev, Angelina
Todorova, Georgi Jordanov
Geophysical Institute, BAS
Emanouil Atanasov, Todor Gurov, Aneta Karaivanova
Institute for Parallel Processing, BAS
Dimiter Syrakov, Maria Prodanova, Valeri Spiridonov
National Institute of Meteorology and Hydrology, BAS
EGEE’09 conference, Barcelona, 21-25 September 2009
SEE-GRID-SCI
Contract n°: RI-211338
Project type: I3
Start date: 01/05/2008
Duration: 24 months
Web site: www.see-grid-sci.eu
Contact person:
Dr. Ognjen Prnjat, GRNET
SEE-GRID-SCI: The partnership
Contractors
GRNET
CERN
SZTAKI
IPP-BAS
ICI
TUBITAK
ASA/INIMA
UoBL
UKIM
UOB
UoM
RENAM
RBI
IIAP-NAS-RA
GRENA
Greece
Switzerland
Hungary
Bulgaria
Romania
Turkey
Albania
Bosnia-Herzegovina
FYR of Macedonia
Serbia
Montenegro
Moldova
Croatia
Armenia
Georgia
GRNET
.gr
IPP
.bg
ICI
.ro
TUBITAK
.tr
SEE-GRID-SCI
partnership
IIAP-NAS-RA
.am
UOB
.rs
Third Party / JRU mechanism used
associate universities / research centres
MTA SZTAKI
.hu
GRENA
.ge
UOM
.me
RBI
.hr
UPT
.al
UKIM
.mk
UoBL
.ba
RENAM
.md
SEE-GRID-SCI : converged communication and
service infrastructure for SEE
GRNET
.gr
MTA SZTAKI
.hu
IPP
.bg
Seismology
VO
ICI
.ro
Meteorology
VO
Environmental
VO
TUBITAK
.tr
e-Infrastructure
SEE-SCI
UOB
.rs
IIAP-NAS-RA
.am
SEE-GRID
GRENA
.ge
SEEFIRE + Geant Support
RBI
.hr
UPT
.al
UKIM
.mk
UoBL
.ba
UOM
.me
RENAM
.md
SEE-GRID-SCI : Environmental VO
2 main application domains:
 Environmental protection/response and geomagnetism
 Environment-oriented satellite image processing
5 core applications:
 Multi-scale atmospheric composition modeling (MSACM)
 Modeling System for Emergency Response to the Release of
Harmful Substances in the Atmosphere (MSERRHSA)
 Monte Carlo Sensitivity Analysis for Environmental Systems
 Climate Change Impact on AQ (CCIAQ)
 Environment Oriented Satellite Data Processing + related
applications
MSACM - Main Features
GRID environment based integrated, multi-scale Balkan
region oriented AQ modelling system
Study the atmospheric pollution transport and
transformation processes (accounting also for
heterogeneous chemistry and the importance of aerosols
for air quality and climate) from urban to local to regional
(Balkan) scales;
Track and characterize the main pathways and processes
that lead to atmospheric composition formation in different
scales;
Provide high quality scientifically robust assessments of the
air quality and its origin, thus facilitating formulation of
pollution mitigation strategies at national and Balkan level.
MSACM - Application on the Grid
The application is resource intensive and in perspective will have
definitive response time limits. It requires computational, storage
and networking capacity which is beyond the capabilities of the
Geophysical Institute.
The application is currently deployed at production-level . The
applications input data con be divided into several parts – some
of them are more static and some of them vary with the jobs.
The total input data can be up to 20 GB. The output data
produced for one run is between 1 and 10 GB depending on the
inputs.
The relatively more static parts of the input will be installed in the
Environmental VO application directory taking < 20 GB. The
varying input will be transferred from the storage element and
the results will be uploaded to the storage element and
registered in the LFC.
In perspective this application will have hard requirements on the
time to finish a computations. Thus eventually it will require MPI
with guaranteed startup.
MSACM Grid-mode tests: Country-to-country pollution
exchange on the Balkans according to EMEP methodology
Total oxidized sulfur deposition [mg(S)/m2], four scenarios, May-July 2000
Total oxidized nitrogen deposition [mg(N)/m2], four scenarios, May-July 2000
MSACM Grid-mode tests: Country-to-country “blame”
matrixes on the Balkans according to EMEP methodology
Blame matrix for oxidized sulphur total deposition, May-July 2000, 1000 t(S).
Emitter
Receiver
BG
GR
RO
other
deposited
total
emission [S]
% Rec/Emit
GR
RO
other
14.772
3.612
3.278
10.055
31.717
0.381
4.230
0.200
4.246
9.058
3.021
0.795
18.203
6.232
28.251
5.838
6.281
16.652
64.605
93.376
all
sources
31.717
9.058
28.251
93.376
162.401
72.425
6.708
68.374
180.789
348.297
43.792
33.913
41.318
51.649
46.627
BG
Blame matrix for oxidized nitrogen total deposition, May-July 2000, 1000 t(N).
Emitter
Receiver
BG
GR
RO
other
deposited
total
emission [N]
% Rec/Emit
BG
other
all
sources
1.375
1.015
2.202
5.584
10.176
GR
RO
1.065
0.077
0.108
0.125
1.375
0.011
0.890
0.000
0.114
1.015
0.137
0.000
1.916
0.149
2.202
0.150
0.458
0.481
4.496
5.584
18.317
20.406
44.210
91.430
174.363
7.506
4.976
4.981
6.107
5.836
Blame matrix for reduced nitrogen total deposition, May-July 2000, 1000 t(N).
Emitter
Receiver
BG
GR
RO
other
deposited
total
emission [N]
% Rec/Emit
BG
GR
RO
other
3.178
0.455
0.682
1.282
5.598
0.299
3.004
0.090
1.664
5.058
1.232
0.297
11.843
3.031
16.403
1.974
2.119
5.156
23.874
33.123
all
sources
5.598
5.058
16.403
33.123
60.182
18.317
20.406
44.210
91.430
174.363
30.561
24.785
37.103
36.228
34.515
MSACM Grid-mode tests: Country-to-country ozone
pollution exchange on the Balkans evaluated in terms of
“number of bad days”
Number of bad days (days with averaged O3 concentration over 40 ppb) for May-July 2000 for scenarios with all emission sources
(scenario All), Bulgarian emissions set to zero (noBG), Romanian emissions set to zero (noRO), Greek emissions set to zero
(noGR)
MSACM Grid-mode tests: Example of local-scale
simulations – sulfur pollution from “Maritza-Iztok” TPPs
Evolution of the surface SO2 fields for July 8, 2005
Evolution of the surface SO2 fields for July 9, 2005
MSERRHSA Main Features
GRID based modelling system for operational
response to accidental releases of harmful gases in
the atmosphere
Performs highly accurate and reliable risk analysis and
assessment for selected “hot spots”
In case of emergency provides short-term local to
regional scale forecast of the propagation of harmful
gases
Performs, in an off-line mode, a more detailed and
comprehensive analysis of the possible longer-term
impacts on the environment and human health
MSERRHSA - Application on the Grid
The application is resource intensive – requires computational
and storage capacity which is outside of the capabilities of the
Geophysical Institute.
The application is currently testing Grid mode on one cluster with
MPI. The applications input data con be divided into several parts
– some of them are more static and some of them vary with the
jobs. The total input data is several GB. The output data
produced for one run is between 1 and 7 GB depending on the
inputs.
The relatively more static parts of the input will be installed in the
Environmental VO application directory taking < 10 GB. The
varying input will be transferred from the storage element and
the results will be uploaded to the storage element and
registered in the LFC.
The application can also be run as series of jobs depending on
the inputs.
“preparedness” mode tests: accidental Chlorine release in “VEREJAHIM” JAMBOL – averaged surface Cl2 concentrations for January 2008
for two release times
to = 2:00
to = 14:00
“preparedness” mode tests: accidental Chlorine release in “VEREJAHIM” JAMBOL – averaged surface Cl concentrations for January 2008 for
two release times
to = 2:00
to = 14:00
“preparedness” mode tests: accidental Chlorine release in “VEREJAHIM” JAMBOL – averaged surface HCl concentrations for January 2008
for two release times
to = 2:00
to = 14:00
“preparedness” mode tests: accidental Chlorine release in “VEREJAHIM” JAMBOL – averaged surface HOCl concentrations for January 2008
for two release times
to = 2:00
to = 14:00
CCIAQ - Main Features
GRID environment based integrated, regional scale AQ
modelling system
Part of coordinated efforts for central and eastern Europe
climate change impact and vulnerability assessment
Will perform simulations for 3 time slashes: 1991-2000
(Control Run), 2041-2050 (Near Future) and 2091-2100
(Far Future)
Study the sensitivity of air-pollution levels in Bulgaria to
potential climate change
based on data analysis of long-term simulations of Air
Quality Models (AQM) driven by Regional Climate Models
(RCM) for present climate and for future projections
Track and characterize the main pathways and processes
that link regional climate and atmospheric composition
formation in regional scale
CCIAQ – data flows and
organization
CCIAQ – emission scenarios &
validation
CCIAQ grid tests – some results for
year 2000
Yearly Time series and Scattered diagram: Rojen
CCIAQ grid tests – some results for
year 2000 (2)
Yearly Time series and Scattered diagram: Ahtopol
CCIAQ grid tests – some results for
time slash 1991-2000
7. 1991-2000 POLLUTION LEVELS
Mean Ozone Concentration
(1991-2000)
Averaged Daily Maxima
(Apr-Sep, 1991-2000)
CCIAQ grid tests – the role of
biogenic emissions
A vs. C
B vs. D