monitoring carbon dioxide from space: retrieval...
TRANSCRIPT
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Monitoring Carbon Dioxide from space: retrieval algorithm, Cal/Val and application (ID: 10643)
Liu Yi, Yang Dongxu,Cai Zhaonan, Wang Jing, Chen Xi, Hartmut Boesch,Robert Parker,Feng Liang, Paul Palmer
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1. TanSat Mission 2. Satellite platform & Payload--Current Status 3. Retrieval algorithm-XCO2 and CO2 Flux inversion 4. Ground based validation 5. Schedule and Plan
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The TanSat Mission
(1) National High Technology Research & Development Programs by Ministry of Science and Technology of China (MOST) Term-1 (2011-2015) Term-2 (2013-2015) (2) Strategic Priority Research Program -Climate Change: Carbon Budget and Relevant Issue by Chinese Academy of Sciences (CAS) – (2011-2015)
Term-1(2011-2015) Measurement Goals
XCO2 1~4 ppmv Monthly
500 x 500 km2
Term-2(2013-2015) Measurement Goals
CO2 Flux Relative flux error
20% Monthly
500 x 500 km2
(3) Strategic Priority Research Program – Space Science: Scientific Research Satellite (CAS) (2015-2016) --- Organization of TanSat Mission --- Funding Launch fee
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Satellite Platform - Observation Mode
Nadir mode
Sun-glint mode
Target mode
Nadir mode- Observation over land - Push broom - Principle plane track Sun-glint mode- Observation over ocean - Sun glint track - Principle plane track Target mode- Validation - Surface target track - Multi angles for one target
Name Characters
Orbit type sun-synchronous
Altitude 700 km
Inclination 98° Local time 13:30
Weight 500Kg
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5 Crisp: OCO-2 Mission
Joining the A-Train in 2016
TanSat flies with the 700-km Afternoon Constellation (A-Train)
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Cloud and Aerosol Polarization Imager - CAPI • Ultraviolet: 0.38μm • Visible: 0.67μm • Near infrared: 0.87, 1.375 and 1.64μm • Polarization: 0.67 & 1.64 μm
Carbon Dioxide Sensor (CDS)
TanSat Instrument
0.765µm O2 A-Band CO2 1.61µm Band CO2 2.06 µm Band
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光栅组件
0.76μm焦面
指向镜电控箱
红外焦面电控箱1.61μm焦面2.06μm焦面
1.61μm分束镜
2.06μm分束镜
0.76μm分束镜
望远镜
安装支座 CAPI定标机构 红外CAPI单机 可见CAPI单机 指向镜机构
2.06 μm splitter 2.06 μm focal plane 1.61 μm focal plane NIR electronic control
Pointer electronic control
0.76 μm focal plane
Grating
Pointer
CAPI-VIS CAPI-NIR CAPI-CAL Instrument set
Telescope
1.61 μm splitter
0.76 μm splitter
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1. TanSat Mission 2. Satellite platform & Payload--Current Status 3. Retrieval algorithm-XCO2 and CO2 Flux inversion 4. Ground based validation 5. Schedule and Plan
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The progress of TanSat instrument
Spectrometers prototype, 1.61 and 2.06 μm diffraction grating
- Key Laboratory of Middle Atmosphere and Global Environment Observation
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Laboratory testing of ILS and SNR (760nm)
Input monochrome light 760nm Channel ILS
760 760.02 760.04 760.06 760.08 760.1 760.12 760.14 760.16 760.18 760.20
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
wavelength
DN
(no
rma
lize
d)
760 760.02 760.04 760.06 760.08 760.1 760.12 760.14 760.16 760.18 760.20
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
wavelength
DN
(no
rma
lize
d)
768.7 768.72 768.74 768.76 768.78 768.8 768.82 768.84 768.86 768.88 768.90
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
wavelength
DN
(no
rma
lize
d)
Simulation line shape Measurement line shape FWHM – 0.04nm
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760nm channel SNR Results (Average 387)
0 200 400 600 800 1000 1200200
300
400
500
600
700
Channel
SNR
SNR 均值387.8
Laboratory testing of ILS and SNR (760nm)
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0 100 200 300 400 500100
150
200
250
300
350
400
Channel
SNR
SNR 均值278
Laboratory testing of ILS and SNR (1610nm) 1610nm channel SNR Results (Average 278)
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1. TanSat Mission 2. Satellite platform & Payload--Current Status 3. Retrieval algorithm-XCO2 and CO2 Flux inversion 4. Ground based validation 5. Schedule and Plan
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Poster: An Observing System Simulation Experiments (OSSE) For TanSat Zhaonan Cai, Fei Wang, Yi Liu, Xiangjun Tian, Liang Feng
CO2 flux uncertainty reductions using simulated TanSat observations (Jan.2009 – Dec.2009)
Regional flux uncertainty reduction ratio for different seasons
Prior, posterior and reductions of flux uncertainty
Monthly terrestrial flux uncertainty reduce 50%
Transport model: GEOS-Chem Prior flux: 1.8*true flux Prior flux uncertainty: 0.5*true flux Observation error: TanSat Characters ( XCO2 within 1ppm error)
- Key Laboratory of Middle Atmosphere and Global Environment Observation
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IAPCAS algorithm and application
- Key Laboratory of Middle Atmosphere and Global Environment Observation
IAP Carbon Dioxide Retrieval Algorithm for Satellite Observation – IAPCAS
Institute of Atmospheric Physics, Chinese Academy of Sciences
TanSat algorithm
Application
aTanGO Application of TanSat algorithm on GOSAT Observation
Similar observation characters
Other observation
OCO-2
GaoFen-5
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Trend in 2012
Inter-comparison
Validation
0.5% errors
Inter-comparison P0: 1.2hPa (~0.1%)bias 2.8hPa (~0.28%)SD XCO2: -2.4 ppm (~-0.6%)bias 1.23 ppm (~0.3%)SD
Validation Bias: -1.9 ppmv (~0.48%) SD: 1.1 ppmv (~0.28%)
IAPCAS-aTanGO validation and application
Lamont, US
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Algorithm Flowchart
Annually mean AOD in 2007
Comparing with AERONET AOD
Aerosol Retrieval with CAPI– a Test with MODIS Observations
G.M. Shi, C.C.Li et al., Retrieval of Atmospheric Aerosol and Surface Properties Over Land Using Satellite Observations, submitted to IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014
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0.66um
1.64um
The sensitive of aerosol parameters to polarization observation
DOF of aerosol parameters
Retrieval errors of aerosol parameters
Real part of refractive index, size distribution, FMF is sensitive to polarization observation
CAPI aerosol parameters retrieval sensitive study Poster: Aerosol Information Content and Retrieval Error Analysis from Simulation Measurements Including Polarization of CAPI on TanSat Xi Chen, Yi Liu, Zhaonan Cai, Dongxu Yang, Robert J.D. Spurr
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GOSAT
TanSat
OCO-2
GOSAT retrieval
Tan-SAT retrieval
Tan-SAT- XCO2
OCO-2 retrieval
OCO-2- XCO2
GOSAT- XCO2
Tan-Tracker
Simultaneously Estimate Surface CO2 fluxes and 3-D Atmospheric CO2 Concentrations
CO2 Flux—inversion model---
By Xiangjun Tian. ACP 2014
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Nested domain of CarbonTracker-China By Baozhang Chen
Satellite-Land based CarbonTracker-China
Data Assimilation System--CTDAS
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Seasonal Differences in Column CO2 derived from GOSAT and Simulated with CT-China between (XCO2CT - XCO2GOSAT)
during April 2009 to December 2010
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Differences of inversed surface CO2 fluxes between using land surface CO2 data only (CT) and satellite XCO2 data (CT-Sat)
Carbon sink of China =-0.21 Pg C/yr (without GOSAT data
= 0 29 Pg C/yr (with
Comparing inversed CO2 fluxes using CT-China (red line) and CT-Sat-China(black
line) in China
Primary Results of CT-Sat-China
Differences of inversed CO2 fluxes (CT -Sat – CT)
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1. TanSat Mission 2. Satellite platform & Payload--Current Status 3. Retrieval algorithm-XCO2 and CO2 Flux inversion 4. Ground based validation 5. Schedule and Plan
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Ground based measurement network
Ground-based Measurement Sites in China Site Instrument
Beijing IFS125/HR +325mTower+7 Licor
Shenzhen IFS125/HR CIMEL+MWR
Xinglong IFS 125/M
Shandong Optical Spectrum Analyzer(OSA)
Dunhuang Optical Spectrum Analyzer(OSA)
Hainan Island
Optical Spectrum Analyzer(OSA)
Urumqi FGGA/LGR
Waliguan FGGA/LGR
Inner Monoglia
Dunhuang Beijing
Shenzhen
Hainan
Ground sites
Shandong
Xinglong
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Surface CO2 validation Stations Shandong HaiNan
流动站---东营
DunHuang XiShuangBanna
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1. TanSat Mission 2. Satellite platform & Payload--Current Status 3. Retrieval algorithm-XCO2 and CO2 Flux inversion 4. Ground based validation 5. Schedule and Plan
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The schedule of TanSat
- Key Laboratory of Middle Atmosphere and Global Environment Observation
2011.02 kick off of project 2011.09 SRR-Science Requirement Review 2013.03 PDR-Preliminary Design Review 2013.06: Kick off phase C 2014.06: Electromechanical Integration 2014.12 CDR- Critical Design Review—major milestone 2015.10 CO2 Spectrometers Finish Assemble, debug, integrate, a series of test: calibration\environment
2015.12 SRR- Satellite Readiness Review
2016.06 Launching
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Summary and Future outlook
1. TanSat payloads almost finished design、manufacture、 optimization,
and will proceed many laboratory testing……
2. Scientific requirement、algorithms have been updated….
3. Surface Cal\Val stations have been set up….
4. Update XCO2 algorithm and CO2 flux inverse modelling
5. Apply more Chinese in-situ measurements to the XCO2 and CO2 flux.
6. After launching, provide the TanSat data within the team as soon as possible
7. Apply UK surface station to validate TanSat observation
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11th International Workshop on Greenhouse Gas Measurements from Space