development of the chinese chemical weather forecasting
TRANSCRIPT
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Development of the Chinese Chemical Weather Forecasting System – CUACE and its Application
in AQ Forecasts
ZHANG, Xiao-Ye S L Gong,C H Zhou,N Tao,P Wang,X Q An
H Wang,H L Liu,Y Q Wang,H Z Che,X C Zhang
(Chinese Academy of Meteorological Sciences)
Environment Canada
International Workshop on Air Quality Forecasting Research Nov. 29-Dec. 1, 2011, Bolger Conference Center, Washington DC, USA
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Chemical Weather Forecast – 化学天气预报Air Quality (AQ) NRT (near real time) Data – 近实时数据
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
2011/10/29 A wide range of fog and haze
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Development of the Chinese Chemical Weather Forecasting System – CUACE
建立化学天气预报
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Feedback Radiation, Cloud
SMOKE Emission Scheme
Population, Economical and land use data
Geophysical data Meteorological obs. Gas Phase
Chemistry
CAM Canada Aerosol Module
O3 CO NOx
PM2.5 PM10 Acid Deposition
ISORROPIA Aerosol Equilibrium Scheme
GR
AP
ES/M
M5
Met
eoro
logy
Tra
nspo
rt
Data Assimillation
NH4, NO3
CMA Chemical Weather Forecasting System
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Feedback Radiation, Cloud
SMOKE Emission Scheme
Population, Economical and land use data
Geophysical data Meteorological obs. Gas Phase
Chemistry
CAM Canada Aerosol Module
O3 CO NOx
PM2.5 PM10 Acid Deposition
ISORROPIA Aerosol Equilibrium Scheme
GR
AP
ES/M
M5
Met
eoro
logy
Tra
nspo
rt
Data Assimillation
NH4, NO3
CUACE CUACE
CMA Chemical Weather Forecasting System
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
CUACE CMA Unified Atmospheric
Chemistry Environment
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Geophy,GPS Energy Use
Agriculture
Total Emissions
Industries
Forests
Point
Waste Treatment
Area
Emission System
Inventories
Emission
Factors
Processor
Emission Profiles
SMOKE
Gridded Em
issions
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Gridded Emissions Total: 1.4
Tg/a
Unit:t/km2
Total: 2.95 Tg/a
0.5°×0.5°
BC
OC
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
CUACE/Gas Chemical Mechanism: radm2 66 Species,5 SOA;
21 Photochemical reactions,141 gas phase chemical reactions;
A simplified SOA formation scheme;
On-line dry and wet depositions.
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Sectional Aerosol Approach
∑∞
=
−−=*
11**
11
kiiik NNIkI
dtdN
β
iki
kikkkkkk NNNNNI
dtdN ∑
∞
=
−−=*
**,**1*1** ββ
∑∑∞
=
−
=−−−− −−+=
*11
*
*,111,1 2
1
kiiikkkk
kk
kiikiikikk
k NNNNNNNNdt
dNββββ (k > k*)
Gong et al. 2003
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Dry Deposition
OH, NO3, O3, HNO3Gas Chemistry Module
Sulphur Chemistry Nucleation Condensation Coagulation
Aerosol DynamicsClear Sky
Aerosols CloudsAmbient size
rc
k[5,7]
Condensation
NucleationCoagulation
Gas H2SO4
CUACE/Aero
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Challenges in AQ Forecasts
High concentrations with complex chemical compositions;
Rapid changes in economy and hence difficulty to obtain timely emissions;
Inaccurate statistics for emission inventory establishment;
Modeling limitations and uncertainties.
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Associated with two National 973 Projects “Aerosol and its Climate Effects” “Aerosol –Cloud-Asian Monsoon”
Feature of Chinese Aerosols Zhang et al. 2011
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Model Predictions - CUACE
Zhou et al. 2011
Good Bad Weather
Forecast not correct Wind speed too high
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Model Predictions - CMAQ
0 100 200 300 400 500
0
100
200
300
400
500 C05 C05
R=0.32
Sim
(Uni
t: ug
/m3 )
Obs (Unit: ug/m3)
I06 I06
R=0.26
PM10_China
An et al. 2011
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Improvement - 1
Acquiring Near Real Time Data
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
CAWNET CMA Atmospheric Watch Network
PM10 PM2.5 BC
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
CARSNET CMA Aerosol Remote Sensing Network
AOD
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
MODIS
Satellites - AOD
FY-3A
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Product
An on-line NRT data collection system for data assimilations and model evaluations
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Improvement - 2 Data Assimilation using NRT Data
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
3D-Var is to minimize the following function ( Lorenc,1986 ):
[ ]))(())(()()(21)( 1T1T
oobb xHxHxxxxxJ yOyB −−+−−= −−
Using the observational data y0 to find the solution of x that satisfies the min J(x) xa
3D-Var Method
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
CUACE/Dust
Data Assimilation
SDS Observations
拟建区域本底站
已建本底站
沙尘暴一期站点
中韩合作沙尘暴站点
拟建区域本底站
已建本底站
沙尘暴一期站点
中韩合作沙尘暴站点
lidar
Ground Obs.
Satellite FY-2C 2D
Gong and Zhang 2008, ACP
Dust Storm: CUACE/Dust
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Comparisons of CUACE/Dust forecasting results for 10 April 2006 with and without data assimilation. The symbols of “S”, “$”, “§”, “&” indicate floating dust, blowing dust, SDS, severe SDS, respectively, obtained from surface meteorological stations of CMA
SDS Assimilation Results - 1
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
No Data Assimilation
Data Assimilation
TS (Threat Score) – 0.22
TS – 0.31
Nu et al. 2008, ACP
SDS Assimilation Results - 2
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
AOD (FY-3A) Assimilation a b
c d
Satellite Initial
Corrections Final
2009-9-29
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Wang et al. 2011 JGR
Aerosol Feed back on weather
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Product
An AQ forecasting system with data assimilation capacity using the NRT time in China.
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Improvement - 3
Inverse Modeling of Emissions
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Feedback Radiation, Cloud
Emissions
Geophysical data Meteorological obs. Gas Phase
Chemistry
CAM China Aerosol Module
O3 CO NOx
PM2.5 PM10 Acid Deposition
ISORROPIA Aerosol Equilibrium Scheme
GR
AP
ES/M
M5
Met
eoro
logy
Tra
nspo
rt
Data Assimillation
NH4, NO3
CMA Chemical Weather Forecasting System
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
(1) Adjoint Model
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
(2) Ensemble Kaman Filter Model
EnKF
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
BC Conc.(µg m-3) Forecasted 同化后
Observations:
Beijing : 7.0 XI’an: 0.09
Lin An: 1.03
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Original After Adjustment
BC Emission Strength(µg m-2 s-1)
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
BC Conc.(µg m-3) Original Forecasting
Beijing : 7.0, XI’an: 0.09, Lin An: 1.03
After Adjustment
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Product
An emission inventory that combines the bottom-up approach with the inversed modeling emissions, that can get better AQ forecasting results.
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Parameter Linking Air quality and Meteorology
(Plam)
Before and during the Beijing Olympic Games, the CMA provided 2-day forecasts of PM10, visibility and O3 to BMG and subsequently provided to Beijing Meteorological Bureau (BMB) and Beijing Municipal Environmental Protection Bureau (BMEPB).
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中国气象科学研究院 Chinese Academy of Meteorological Sciences 2011/12/21 IWAQFR, Quebec, Canada
Visibility Forecast for National 60th anniversary 参加了国家级团队的60周年大庆预报服务
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
08奥运期间能见度模拟和观测对比 Comparison between Forecasted and Observed Visibility
日均
r = 0.65, 绿线: 模拟, 蓝线: 观测
Obs.
Forecasted
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Conclusions • A chemical weather forecasting system has
been developed within the Chinese weather forecasting model - GRAPES.
• The NRT data can be used to improve the accuracy of the AQ forecasts through the data assimilation for the realistic initial conditions and inverse modeling for a timely and accurate emissions.
• Chemical weather forecast can not only forecast AQ but also improve the conventional weather forecasts through the feedback of aerosols.
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中国气象科学研究院 Chinese Academy of Meteorological Sciences
Thank you!