The accuracy of aerosol satellites' AOD products over ...
Transcript of The accuracy of aerosol satellites' AOD products over ...
12th Annual Symposium on New Generation Operational Environmental Satellite Systems
The accuracy of aerosol satellites‘ AOD
y
The accuracy of aerosol satellites‘ AOD
products over Chinaproducts over China
Dr. Jinyuan Xin; L. Wang, Y. Wang
LAPC, Institute of Atmospheric Physics, CAS2016-01-10
Institute of Atmospheric physics, CAS
2016 01 10
ContentsContents
1 Th h b k d1. The research background
2. The observation network
3. Research results and progress
4. Summary
Institute of Atmospheric Physics, CAS
1. The research background1. The research backgroundThe effect of aerosol
Observation Modeling
IPCC 2001 IPCC 2013
NCAR CESM MISR+AERONET
Ob d AODSimulated AOD:0.2-0.3 in East China
Observed AOD: 0.4-0.8 in East China
Institute of Atmospheric Physics, CASNCAR CESM simulated and offered aerosol data in IPCC AR5.
Y. Feng 2011, CESM NCAR, report
Aerosol optical parameters: Bridging the ground observation, satellite, and modelg g g , ,
Climate effect of aerosol
观测实验 ModelingObservationObservation
IPCC 2013IPCC 2001The AThe A--TrainTrain
NCAR CESM MISR+AERONET
观测中国东部模拟中国东部
AOD为0.2-0.3!
观测中国东部
AOD为0.4-0.8
Institute of Atmospheric Physics, CASNCAR CESM 为参加IPCC AR5评估的模式提供气溶胶数据IMPROVE in U.S.IMPROVE in U.S. EMEP in EuropeEMEP in EuropeNASA AERONETNASA AERONET
2. The observation network in China2. The observation network in China
The Chinese Sun Hazemeter Network, 2004-2007
The CARE-China Network_Sunphotometer, 2011-Now
FukangChangbai Mountain
SanjiangHailun
Shenyang
CERN station (19)
The Chinese Sun Hazemeter Network
Typical city site (4)Calibration site (2)
Beijing City
The Chinese Sun Hazemeter Network2004.08-2007.07 (23 sites)
Haibei
LhasaYanting
Taoyuan
Tai lake
Jiaozhou bay
Shapotou
Shenyang
Beijing Forest
Ansai Fengqiu
Shanghai City
Lanzhou City
Xianghe
j g yEerduosi
The CARE-China Network
Sanya
Taoyuan
Xishuangbanna
SanyaTaipei CityDinghu Mountain
e C C a Netwo_ Sunphotometer
2012.01-Now(36sites)
Microtops II
LED LED hazemeterhazemeterLED LED hazemeterhazemeterSolar Light Co.U.S. Forest Service
The observing group of the networkThe observing group of the network
SNJ SYB CLDWXZ GGSSNJ CSC
NJCCQC YCAHLADHD BJC CBM
LSZ SJZSPTFKZ QYZ XLZGZC
SYC JZB KMCTJC YTZBNZ DHM
Calibration and Quality ControlCalibration and Quality ControlTo build the observation and instrument calibration standard
T b ild h d li l d f h kTo build the data quality control procedure for the network
10.0
10.5
(a) ID023 meter, at the Lhasa site, 6 November 2004
Langley plot 1.2
14983 14986 16329 16328 16335
8 5
9.0
9.5
10.0
ln(V
-Vda
rk)
880nmR2=0.998
R2=0.996
650nm
R2=0.965
500CIMEL Com.
Langley plot
0 4
0.6
0.8
1.0 AOD at 500 nmBeijing2011.1.11-14
Lhasa2011.10.01
Langley plot at the Lhasa site0 2 4 6 8 10 12
8.0
8.5
Relative air mass
R2=0.998500nm405nm
CIMEL Com.
Transfer Cal.14983 14986 16329 16328 16335
0.0
0.2
0.4
1 11 21 31 41 51 61 71 81 91 101 111 121 131
1.0
1.5
1.0
1.5
AO
D y=x
650nm y=0.9770x-0.0184 (R2=0.941)
Test Stability 1.0
1.5
2.0
14983 14986 16329 16328 16335
Angstrom exponent
0.0
0.5
0.0
0.5
CIM
EL's
A
880nm y=0.8811x-0.0133 (R2=0.926)
(d)
In Rotation1 0
-0.5
0.0
0.5
1 11 21 31 41 51 61 71 81 91 101 111 121 131
Beijing Lhasa
Xin et al. JGR, 2007
0.0 0.5 1.0 1.50.0 0.5 1.0 1.5
ID005 hazemeter's AODData from Feb to Aug 2005 at Xianghe site
Comparison with AERONET siteTransfer calibration, test stability;
deal with the cloud pollutionCalibration Process
-1.0 j g
3. Research results and progress3. Research results and progress
3 1 The distribution of aerosol optical properties 3.1 The distribution of aerosol optical properties
3.2 The application to MODIS AOD upgrade in China
3.3 The accuracy of MODIS AOD C4, C5, C6 products
3 4 The acc rac of VIIRS IP AOD o er east China 3.4 The accuracy of VIIRS IP AOD over east China
3.5 The accuracy of Chinese FY-3A and GF-1 AOD
3.6 To find the relationship between PM2.5 and AOD
Institute of Atmospheric Physics, CAS
3.1 3.1 The distribution of aerosol optical propertiesThe distribution of aerosol optical properties
There were similar monthly and seasonal variations of AODs andaerosol types over northern and southern China.yp
Dust aerosol in spring, smoke and soot in autumn and winter. And dustover the Tibet Plateau, smoke and soot in Southeast Asia.
The annual The annual
Spring Summer
Dust Dust mean AOD at 500nm is 0.5-0.9 over the
l
mean AOD at 500nm is 0.1-0.2 over the
SpringFrom Aug 2004 t o Jul 2007
1.5
SummerFrom Aug 2004 to Jul 2007
1.5
AOD (500 )
Dust Dust
Dust Vapour
Smoke Smoke central, eastern, southern and eastern coastal
Tibet Plateau, remote northeast, and
AOD (500nm)Angstrom Exponent
AOD (500nm)Angstrom Exponent
Autumn Winter
Smoke Smoke
areas.2004.8-2007.7
Hainan island.2004.8-2007.7
WinterFrom Aug 2004 to Jul 2007
AutumnFrom Aug 2004 to Jul 2007
Dust Dust
Smoke Smoke
Xin et al. JGR, 2007, 2011; AE, 2008; AAS, 2010Institute of Atmospheric Physics, CAS
1.5
AOD (500nm)Angstrom Exponent
1.5
AOD (500nm)Angstrom Exponent
SmokeSmoke
The spatial and temporal distribution in 2012The spatial and temporal distribution in 2012
Comparing with 2004-2007, there was increasing of AOD in Chinaexcept the Tibet Plateau, similar variation of aerosol types as before.But many sites had large changes in the remote areas.
Institute of Atmospheric Physics, CAS
3.2 The application to MODIS AOD upgrade3.2 The application to MODIS AOD upgrade
In collaboration with UMD and U.S. Forest Service, we traced toevaluate the accuracy of MODIS AOD from C4 to C5 products.y p
The accuracy of MODIS C5 product increased by 10% on average inChina, but the ratio of available data decreased by 15%.
Available data: 60%Within NASA error: 50%Overestimate: 20%
Available data: 45%Within NASA error: 60%Underestimate: 15%
Valuation of MODIS Products with CSHNET2004.08-2006.06
12004.08-2007.07
Valuation of MODIS Products with CSHNETFrom Aug 2004 to Jul 2007
Evaluate MODIS C4 Product Evaluate MODIS C5 Product
R1: Ratio of MODIS to Site's ResultR2: Percentage within NASA Error
From Aug 2004 to Jul 20071
R1: Ratio of MODIS to Site's ResultR2: Percentage within NASA Error
Li, et al.
Wang, Xin, Li, et al., JGR, 2007; AE, 2007; CSB, 2007; GRL, 2008; AR, 2010Evaluate MODIS C4 Product Evaluate MODIS C5 Product
Institute of Atmospheric Physics, CAS
MODIS C5 AOD revised by the ground observation
MODIS C5 product also has large seasonal systematic errors in theurban region.urban region.
Overestimate by 20% in summer and autumn; underestimate by 20% inspring and winter.
Jan JanJanJanJanJan2004 2005 2006 2007 2008 2009 20102.0(d)
Observed AOD MODIS AOD
(d)
Jan JanJanJanJanJan2004 2005 2006 2007 2008 2009 20102.0 Observed AOD MODIS AOD
(d)
Jan JanJanJanJanJan2004 2005 2006 2007 2008 2009 20102.0 Observed AOD MODIS AOD
(d)
Jan JanJanJanJanJan2004 2005 2006 2007 2008 2009 20102.0 Observed AOD MODIS AOD
0 5
1.0
1.5( )
Val
ue
(d)
0 5
1.0
1.5
Val
ue
( )
0 5
1.0
1.5
Val
ue
( )
0 5
1.0
1.5
Val
ue
Jan FebMarAprMayJun Jul AugSep OctNovDec0.0
0.5
Jan FebMarAprMayJun Jul AugSep OctNovDec0.0
0.5
Jan FebMarAprMayJun Jul AugSep OctNovDec0.0
0.5
Jan FebMarAprMayJun Jul AugSep OctNovDec0.0
0.5
B k d it B iji Cit Sh A Ji h BBackground site Beijing City Shenyang Agr. Jiaozhou Bay
Xin et al., AE, 2011
MODIS C5 AOD revised by the ground observationMODIS C5 AOD revised by the ground observation
The available ratio of the revised MODIS product reached 60-85%,raised by ~20% on average; the relative error declined to ~15%.raised by 20% on average; the relative error declined to 15%.
The network was serviced to evaluate the Chinese satellites: HJ-1A ,GF-1 and FY-3A. The GF-1 is getting close to MODIS.
1.0
1.5
2.0
S A
OD
Beijing Forest (669 days)
0 94 0 041.0
1.5
2.0
1.0
1.5
2.0 The mean AOD for 0.1-interval observed AOD
60
80
100ag
e (%
)(e)
1.5
2.0
2.5
3.0
S A
OD
Jiaozhou Bay (649 days)
0 97 0 021.5
2.0
2.5
3.0
1.5
2.0
2.5
3.0 The mean AOD for 0.1-interval observed AOD
60
80
100
tage
(%)
(e)
1.0
1.5
2.0
S A
OD
Shenyang Agr. (644 days)
0 83 0 061.0
1.5
2.0
1.0
1.5
2.0 The mean AOD for 0.1-interval observed AOD
60
80
100
tage
(%)
(e)
1.5
2.0
2.5
3.0
S A
OD
Beijing City (650 days)
1.5
2.0
2.5
3.0
1.5
2.0
2.5
3.0 The mean AOD for 0.1-interval observed AOD
60
80
100
tage
(%)
(e)
0.0 0.5 1.0 1.5 2.00.0
0.5
1.0
Observed AOD
MO
DI
<1.0 >1.0
y=0.94x-0.04R2=0.81
0.0 0.5 1.0 1.5 2.00.0
0.5
1.0
0.0 0.5 1.0 1.5 2.00.0
0.5
1.0
0
20
40
Percentage
Perc
enta
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
0.5
1.0
1.5
Observed AOD
MO
DI
<1.0 >1.0
y=0.97x-0.02R2=0.73
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
0.5
1.0
1.5
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
0.5
1.0
1.5
0
20
40
Perc
ent
0.0 0.5 1.0 1.5 2.00.0
0.5
1.0
Observed AOD
MO
DI
<1.0 >1.0
y=0.83x-0.06R2=0.70
0.0 0.5 1.0 1.5 2.00.0
0.5
1.0
0.0 0.5 1.0 1.5 2.00.0
0.5
1.0
0
20
40
Perc
ent
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
0.5
1.0
1.5
Observed AOD
MO
DI
<1.0 >1.0
y=1.07x+0.11R2=0.83
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
0.5
1.0
1.5
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
0.5
1.0
1.5
0
20
40
Perc
ent
1 5
2.0
OD
Beijing Forest (669 days)
1 5
2.0
1 5
2.0 The mean AOD for 0.1-interval observed AOD
80
100(f)
2.5
3.0
OD
Jiaozhou Bay (649 days) (f)2.5
3.0
2.5
3.0 The mean AOD for 0.1-interval observed AOD
80
100
1 5
2.0
OD
Shenyang Agr. (644 days)
1 5
2.0
1 5
2.0 The mean AOD for 0.1-interval observed AOD
80
100(f)
2.5
3.0
OD
Beijing City (650 days)2.5
3.0
2.5
3.0 The mean AOD for 0.1-interval observed AOD
80
100(f)
Comparison with MODIS C5 AOD in the urban
0.5
1.0
1.5
Rev
ised
MO
DIS
AO
<1.0 >1.0
y= x + 9E-6R2=0.84
0.5
1.0
1.5
0.5
1.0
1.5
20
40
60
Percentage
Perc
enta
ge (%
)
0.5
1.0
1.5
2.0
Rev
ised
MO
DIS
AO
<1.0 >1.0
y= x - 4E-05R2=0.77
0.5
1.0
1.5
2.0
0.5
1.0
1.5
2.0
20
40
60
Perc
enta
ge (%
)
0.5
1.0
1.5R
evis
ed M
OD
IS A
O
<1.0 >1.0
y= x + 8E-06R2=0.72
0.5
1.0
1.5
0.5
1.0
1.5
20
40
60
Perc
enta
ge (%
)
0.5
1.0
1.5
2.0
Rev
ised
MO
DIS
AO
<1.0 >1.0
y= x + 2E-05R2=0.85
0.5
1.0
1.5
2.0
0.5
1.0
1.5
2.0
20
40
60
Perc
enta
ge (%
)
0.0 0.5 1.0 1.5 2.00.0
Observed AOD0.0 0.5 1.0 1.5 2.0
0.00.0 0.5 1.0 1.5 2.0
0.0 0 Percentage
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
Observed AOD0.0 0.5 1.0 1.5 2.0 2.5 3.0
0.00.0 0.5 1.0 1.5 2.0 2.5 3.0
0.0 00.0 0.5 1.0 1.5 2.0
0.0
Observed AOD0.0 0.5 1.0 1.5 2.0
0.00.0 0.5 1.0 1.5 2.0
0.0 0
Xin et al., AE, 2011
0.0 0.5 1.0 1.5 2.0 2.5 3.00.0
Observed AOD0.0 0.5 1.0 1.5 2.0 2.5 3.0
0.00.0 0.5 1.0 1.5 2.0 2.5 3.0
0.0 0
Comparison with the revised MODIS AOD
3.3 The accuracy of MODIS C4, C5, C6 products
65% of C6 products filling in the NASA errors over China.But C6 products underestimated AOD by 20% (DB and theby 20% (DB and the Merge) and 14% (DT).In the northeast, the northwestern desert
The correlation between MODIS-C6 AOD and observed AODnorthwestern desert and the Tibet Plateau, the accuracy of C6 DT was higher than C4 and C5 DT products.C6 DB was superior to DT and Merge in the
th t th B ijinortheast, the Beijing-Tianjin-Hebei and the Yangtze River delta. But DT and Merge
The rates of C6 products filling in the NASA errors
gwere more superior to DB in other regions.
3.4 The accuracy of VIIRS IP AOD over east China
BJC Beijig
The Bohai Sea
Sea
Yucheng
Jiaozhou Bay
The
Yello
w
Spring Summer Autumn Winterp g
Meng and Xin et al., RS, 2015, submitted
3.5 The accuracy of Chinese FY-3A and GF-1 AOD
1 6
2.0
0 8
1.2
1.6
演AO
D
0 0
0.4
0.8
GF-1
反 N=7R=0.81SD=0.38y=0.59+0.86*x
0.0 0.4 0.8 1.2 1.6 2.00.0
地 基 观 测 AOD
王中挺, 辛金元等, 遥感学报, 2015.
3.6 The relationship between PM3.6 The relationship between PM2.52.5 and AODand AOD
There were certain correlations between PM2.5 and AOD.
Th l ti diff t t diff t i d th f The correlations are different at different regions and among the fourseasons due to the aerosol types, components and weather conditions.
200
200
200
200
100
150
PM2.5; Daily mean in the dry season y=34.28x+40.54 (R2=0.29)
M2.
5 (g/
m3 )
1 21.41.61.82.0
100
150
M2.
5 (g/
m3 )
100
150
Daily means at Xinglong y=60.83x+15.45 (R2=0.47)
M2.
5 (g/
m3 )
100
150
Daily means at Beijing City y=56.21x+23.31 (R2=0.46)
M2.
5 (g/
m3 )
Dunhuang Desert Xinglong Mt. Beijing City Dinghu Mt.
0.0 0.5 1.0 1.5 2.00
50
PM
Observed AOD
00.20.40.60.81.01.2
0.0 0.5 1.0 1.5 2.00
50 Daily means at Dunhuang y=87.00x+32.18 (R2=0.40)
PM
Observed AOD0.0 0.5 1.0 1.5 2.0
0
50
PM
Observed AOD0.0 0.5 1.0 1.5 2.0
0
50
PM
Observed AOD
Dunhuang Desert Xinglong Mt. Beijing City Dinghu Mt.
150
200(a) Daily mean in spring
y = 99.72x + 4.48 (R2 = 0.60, N=109)
m3 )
150
200 Daily mean in winter y = 72.85x + 10.44 (R2 = 0.34, N=108)
m3 )
(d)
150
200 Daily mean in autumn y = 138.00x +1.10 (R2 = 63, N=116)
m3 )
(c)
150
200(b) Daily mean in summer
y = 92.10x + 7.61 (R2 = 55, N=71)
m3 )
0.0 0.5 1.0 1.50
50
100
PM2.
5 (g/
m
0.0 0.5 1.0 1.50
50
100
PM2.
5 (g/
m
-1.0-0.500.51.01.52.02.53.0
Spring Summer WinterSpring0.0 0.5 1.0 1.5
0
50
100
PM2.
5 (g/
m
0.0 0.5 1.0 1.50
50
100
PM2.
5 (g/
m
Beijing Forest background station in North China
Xin et al., Atmospheric Research, 2014
Observed AOD Observed AODObserved AODObserved AOD
An example: PM2.5 retrieved from the satelliteAn example: PM2.5 retrieved from the satellite
100
150
200 Daily mean in spring y = 96.06x + 11.02 (R2 = 0.60)
g/m
3 )
3 0
(a)
100
150
200 Daily mean in summer y = 91.31x + 16.32 (R2 = 0.56)
g/m
3 )
3 0
(b)
Beijing Forest background station
0.0 0.5 1.0 1.50
50
100
PM2.
5 (g
MODIS AOD
-1.0-0.500.51.01.52.02.53.0
0.0 0.5 1.0 1.50
50
100
PM2.
5 (g
MODIS AOD
-1.0-0.500.51.01.52.02.53.0
200200
Spring SummerMODIS AOD MODIS AOD
100
150
Daily mean in winter y = 26.95x + 14.71 (R2 = 0.01)
M2.
5 (g/
m3 )
1 52.02.53.0
(d)
100
150
Daily mean in autumn y = 161.37x + 7.80 (R2 = 0.57)
M2.
5 (g/
m3 )
1 52.02.53.0
(c)
The annual PM2.5 on sunny days (2009-2011): 40-55 μg/m3
0.0 0.5 1.0 1.50
50
PM
MODIS AOD
-1.0-0.500.51.01.5
0.0 0.5 1.0 1.50
50
PM
MODIS AOD
-1.0-0.500.51.01.5
The relationships between PM2.5 and MODIS AOD
Autumn Winter
The annual PM2 5 (2001 2006):
days (2009 2011): 40 55 μg/mp
The annual PM2.5 (2001-2006): 60-80 μg/m3
There may be large error, if ith t th l l i lwithout the local revisal.
Xin et al., Atmospheric Research, 2014
Donkelaar et al., 2010
4. Summary4. Summary1. Since 2004, we began a network to investigate the spatial and
t l di t ib ti f l ti l ti i Chitemporal distribution of aerosol optical properties in China, and try to track the trends.
2. The network has been used to revise the satellite products, aerosol model results, and to obtain the relationship between PM2 5 d AODPM2.5 and AOD.
3. The accuracy of MODIS AOD increased by 20% from C4 to C6 products. 65% of C6 product filled in the NASA errors over China, but the product underestimated AOD in China.
4. 60% of VIIRS IP products filled in the NASA errors over east China. Besides, Chinese FY and GF satellites’ AOD products
Institute of Atmospheric physics, CAS
showed large errors in the region.
Thank youThank you!!Thank youThank you!!
Any question?Any question?
Dr. Dr. JinyuanJinyuan XinXin; [email protected] ; [email protected]
LAPC & CERNLAPC & CERN SCAS IAPSCAS IAP CASCASLAPC & CERNLAPC & CERN--SCAS, IAPSCAS, IAP--CASCAS
CV of Dr. Jinyuan Xin
Dr. JINYUAN XIN was born in 1975. He is an associate professor and amaster tutor of the Institute of Atmospheric Physics, Chinese Academy ofSciences. He obtained the bachelor and master degrees in atmosphericphysics and atmospheric environment, the doctorate degrees in meteorologyin Lanzhou University in 1999, 2002 and 2007, respectively. The researchy , , p yfield is in atmospheric physics and atmospheric environment. He has a deepresearch in the field of aerosol optical properties and air pollution. He hastaken on 7 projects including two NSFC projects and 5 sub-projects fromtaken on 7 projects, including two NSFC projects, and 5 sub-projects fromthe 863 important plan, the key project of knowledge innovation of CAS, twostrategic special projects of CAS and the 973 project.He won six Chinese academic awards: the National Excellent Youth ScholarHe won six Chinese academic awards: the National Excellent Youth Scholarof NSFC in 2012, the "QIUSHI" Award in 2005, the "XUE DU FENGZHENG" Award in 2006, the "National Hundred Outstanding PhD Thesis"N i i A d i 2009 h Y h M l i l S i dNomination Award in 2009, the Youth Meteorological Science andTechnology Excellent Paper in 2014, Youth Meteorological Science andTechnology Award in 2014. He has published 70s academic papers (40s SCI
Institute of Atmospheric physics, CAS
papers), which have been cited more than 1000 times.
500
600 Dailymean y=88.26x+44.07 (R2=0.63)
0.00.2
400
500
)
Dailymeany=123.42x+25.57 (R2=0.57)
0.00.2
240
300 Dailymeany=35.88x+29.96 (R2=0.55)
0.00.2
200
300
400
*PM
2.5(g
/m3 ) y=-298exp(-x/1.69)+320 (R2=0.67) 0.4
0.60.81.01.21 4
200
300
00
)*PM
2.5(g
/m3 ) y 3. 5.57 ( 0.57)
0.40.60.81.01.21 4
120
180
M 2
.5 (
g/m
3 )
y 35.88 9.96 ( 0.55)0.40.60.81.01.21 4
0 1 2 3 4 50
100
AOD *1000 / H( m-1 )
f(R
H)* 1.4
1.61.8
0.0 0.4 0.8 1.2 1.6 2.00
100
f(R
H)
AOD ( 500 nm)
1.41.61.8
0 1 2 3 4 50
60PM
AOD *1000 / H( m-1 )
1.41.61.8
600
800
1000
g/m
3 )
Dailymean y=202.58x+68.35 (R2=0.47)
0.00.20.40 6 300
400
5003 )
Dailymean y=55.08x+76.06 (R2=0.45)
0.00.20.40 6
( )
900
1200 Dailymean y=152.37x+117.52 (R2=0.56) y=-527exp(-x/1.65)+603 (R2=0.60)
0.00.20.40 6g/
m3 )
( )
200
400
600
(RH
)*PM
10(
g 0.60.81.01.21.41.6 100
200
300
PM 1
0 (
g/m
3 0.60.81.01.21.41.6
300
6000.60.81.01.21.41.6f(
RH
)*PM
10(
g
0.0 0.4 0.8 1.2 1.6 2.00
AOD ( 500 nm)
f( 1.8
0 1 2 3 4 50
AOD *1000 / H( m-1 )
1.8
0 1 2 3 4 50
AOD *1000 / H( m-1 )
1.8f林海峰, 辛金元*等, 环境科学, 2013.