meteorogical and chemical prediction web based system using rams and camx numerical models by maria...
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METEOROGICAL AND CHEMICAL PREDICTION WEB BASED SYSTEM
USING RAMS AND CAMx NUMERICAL MODELS
By Maria Victoria Toro G. PhD
Nestor Waldyd Alvarez V. E.E.
Carlos Gabriel Sanchez T. E.E. Environmental Research Group
Atmospheric Studies Universidad Pontificia Bolivariana
INTRODUCTION
Medellin has Population 3 million people is located in Aburra Valley. It’s area is 1200 km2
Medellin has Population 3 million people is located in Aburra Valley. It’s area is 1200 km2
ColombiaColombia
System Purpose
• To be a Chemical and Meteorological forecast tool that can be used for both: the Community (simple data visualization) and the Government (planning) in a web site.
Outline of the System
Solaris
Data BaseOracle 9i
RAMS Model
CAMx Model
Application
services
Meteorological files
Dispersion Files
Apache Server Linux
php application
Graph
NCAR LibraryNCL languaje
Vis5D Application
php
User
GUIJavascript/Flash
php/HTML
METEOROLOGICAL PREDICTION
Regional Atmospheric Modeling System Characteristics
• Domain– Grid 1: 60 x 50 Grid Cells (64 km)– Grid 2: 30 x 30 Grid cells (16 km)– Grid 3: 30 x 30 Grid Cells (4 km)– Grid 4: 70 x 74 Grid Cells (1 km)
• Temporal Resolution :2 h
• Simulation time: 72 h
Input Data
TopographyUSGS Dem30
topo10m
Sea surface TemperatureFrom ATMET 1° of Resolution
Vertical profiles of T, RH,Wind, from Global Forecast System
NOAA READY
Land useUSGS 1 km resolution
RAMS MODELATMET
RESULTSWind Streams
Wind, temperature, Relative humidity Fields for the Aburrá Valley
* Medellín
Vertical Profile
Daily Forecast for the Aburrá Valley
Meteogram
Verification
• Intercomparation with Mesoescale Model (Germany)and with measured data
• Intercomparation with diagrams from NOAA
20
25
30
35
40
45
50
1 5 9 13 17 21 1 5 9 13 17
Hora Local
Tem
pera
tura
Pot
enci
al
(ºC
)
T(obs) RAMS MEMO
0
2
4
6
8
10
7000
0
1E+0
5
2E+0
5
2E+0
5
2E+0
5
3000
0
7000
0
1E+0
5
2E+0
5
2E+0
5
2E+0
5
3000
0
7000
0
Horas
Vel
ocid
ad (
m/s
)
RAMS Vel(obs)
Photochemical PredictionComprehensive Air Model with Extensions CAMx
(Environ)
Domain: 60 x 60 grid cellsResolution: 1 kmTemporal resolution 1 hSimulation time: 24 h
Input Data
Emissions Inventoryof 31 Chemical Species (1 km resolution)
Boundary Conditions
Meteorological Fieldsfrom RAMS Model
CAMx MODELENVIRON
Chemical MechanismCarbon Bond IV
Initial Conditions
• Daily forecast of Air Quality– Ozone field– CO field– VOC field
– NO2 field
RESULTS
VerificationIntercomparation with Real Data
0
20
40
60
80
100
120
07:0
0:00
09:0
0:00
11:0
0:00
13:0
0:00
15:0
0:00
17:0
0:00
19:0
0:00
21:0
0:00
23:0
0:00
01:0
0:00
03:0
0:00
05:0
0:00
Horas
Con
cent
ratio
n O
3 (p
pb)
Ozono Calc. Ozono Obs.
oo
WEB PAGE
Next Projects
• Actualization of the RAMS and CAMx Models
• Improvement of the storms simulations
• Improvement of the input data
• Test differents Photochemical Mechanism
• Improvement of the Emission Model MODEAM
THANKS