Report on WP 1 - marcopolo-panda.eu€¦ · Report on WP 1 Enno Peters, Andreas Richter, Andreas...

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Panda / MarcoPolo

1st Annual meeting

Hamburg, 26-29 Jan 2015

Report on WP 1

Enno Peters, Andreas Richter, Andreas Hilboll, Lisa Behrens,

Xingying Zhang, Weihe Wang,

Catherine Wespes, P.-F. Coheur, Cathy Clerbaux,

and WP1 team

Outline

• Introduction (participants of WP1, objectives)

• General overview/workplan WP1 Tasks, deliverables

Status of deliverables

Next steps

• Reports from WP1 participants (IUP-UB, ULB/LATMOS, NSMC) New staff / news

Recent work / progress / contribution to PANDA

Future plans

Introduction

WP1 participants:

PArtnership with ChiNa on SpaceDAta

WP1 - Remote Sensing Observations [Months: 1-36]

The overall goal is:

• to provide a consistent historical satellite data set to the project,

• to improve the retrievals over China,

• to validate and inter-compare

the satellite data,

• and to provide a limited rapid

response data set for

monitoring of on-going changes.

Introduction

T1.1 - Collection of existing satellite data sets [Months: 1-12]

IUP-UB, ULEIC, ULB, NSMC Sources of satellite remote sensing data available for use in the project from

different sources (NASA, US partners, MACC-II project etc.) and publicly

available archives will be collected and prepared for the project.

T1.2 - First version of satellite data set [Months: 1-12]

IUP-UB, CNRS, ULB, NSMC Preparation of historical data set from

• GOME, SCIAMACHY and GOME-2 (NO2, SO2, HCHO),

• IASI (O3, CO, NH3)

• TOU and SBUS (O3)

covering 1996 – 2012 as far as satellite data is available. This data set

will be mainly based on existing retrievals.

What are the main tasks in WP1?

T1.3 - Improvement of satellite data [Months: 7-24]

ULB, IUP-UB, NSMC • Evaluation of possible improvements with respect to

a priori data used

retrieval settings

optimisation for near surface concentrations

use of IASI night-time retrievals

• Ingestion of results from validation.

T1.4 - Validation and inter-comparison of satellite data [Months: 7-36]

NSMC, IUP-UB, ULEIC, ULB, SESE-SYSU, CESE-PKU, IAPCAS • Collection of possible validation data in China

• Systematic comparison of validation data with satellite data from Task 1.1

combining data and expertise from China and Europe

• Inter-comparison of data from different satellite sensors and retrievals

• Preparation of a validation report.

T1.5 - Second version of satellite data set [Months: 13-24]

IUP-UB, CNRS, ULB, NSMC Preparation of a revised historical data set from

• GOME, SCIAMACHY and GOME-2 (NO2, SO2, HCHO,(CHOCHO))

• IASI (O3, CO , NH3)

• TOU and SBUS (O3)

covering the 1996 – 2012 period.

T1.6 - Updated satellite data over China [Months: 13-36]

IUP-UB, ULB, NSMC, SOE-THU Provision of a subset of data over China after the end of the

historical data set for use in the toolbox and for up to date air quality

and emission estimates.

Past and present deliverables:

D1.1 : Report on available external remote sensing data sources: Sources of satellite remote sensing data available for use in the project from

third parties (NASA, US partners, MACC-II project etc.) and publicly available

archives will be collected and prepared for the project. [IUP-UB month 6]

Report available on Panda website.

D1.2 : First version of historical satellite data set: Preparation of historical data set from GOME, SCIAMACHY and GOME-2 (NO2, SO2, HCHO),

IASI (O3, CO , NH3), TOU and SBUS (O3) covering 1996 – 2012 as far as satellite data is available.

This data set will be mainly based on existing retrievals. [IUP-UB month 12]

Files partly uploaded, remaining data will follow soon, see this presentation.

Deliverables in WP1

Future deliverables:

D1.3 : Report on validation over China with existing independent data Collection of possible validation data in China, systematic comparison of validation data with

satellite data from Task 1.1 combining data and expertise from China and Europe,

inter-comparison of data from different satellite sensors and retrievals.

[NSMC month 18]

D1.4 : Second version of historical satellite data set [IUP-UB month 24]

D1.5 : Limited set of recent data with retrieval improvements implemented

as in second version of historical data [IUP-UB month 24]

Deliverables in WP1

Timeline in WP1

T1.1(IUP)

T1.2 (IUP)

T1.3 (ULB)

T1.4 (NSMC)

T1.5 (IUP)

T1.6 (IUP)

D1.1 D1.2 D1.3 D1.4

done see Panda webpage

partly finished some data uploaded,

but some missing

Next step to be discussed during

validation workshop

Improvement of satellite data

Updated set of

Satellite data over

China (2012+ data)

Second version of satellite data

Validation and inter-

comparison of satellite data

Collection of existing satellite data sets

First version of satellite data set (1996-2012, as far as available)

Status of deliverable D1.2

UV-Vis

NO2 Full datasets (all sensors, global, gridded) in NetCDF format available

GOME (3.1996-6.2003)

SCIAMACHY (8.2002-4.2012)

GOME-2 (7.2007-12.2012)

HCHO Full datasets (all sensors, global, gridded) in NetCDF available

SO2 Full dataset in NetCDF in progress, to be uploaded soon

NH3 Quicklooks and full dataset in NetCDF available

CO Full IASI dataset in ASCII format available (conversion to NetCDF in progress)

O3 Link to testfiles in NetCDF available (full dataset in progress)

TOU/FY-3

O3 Since 8.2013 online available in ASCII format

7.2008 onwards will follow soon

First version of historical satellite data (1996-2012) as far as data is available

(based on existing retrievals)

http://www.marcopolo-panda.eu/results/toolbox/satellite-observations/

• Completion of satellite data files (D1.2)

• Upcoming deliverable D1.3:

D1.3 : Report on validation over China with existing independent data Collection of possible validation data in China, systematic comparison of validation data with

satellite data from Task 1.1 combining data and expertise from China and Europe,

inter-comparison of data from different satellite sensors and retrievals.

[NSMC month 18]

Connection to WP2 and MarcoPolo

Some validation efforts already started

Detailed discussion on validation workshop during the annual meeting

Closer collaboration between European and Chinese partners

Next steps

Reports from WP1 participants

Annette

Ladstätter-Weißenmayer

1st summer school in Bremen

(23-29 August 2015)

see Panda webpage

Andreas Richter

Head of IUP-UB DOAS group

Enno Peters

Lead of

IUP-UB contribution

Satellite data/ support

Lisa Behrens

PhD student in Panda

(since August 2014)

All interesting scientific work

Andreas Hilboll

Supervisor of Lisa‘s PhD

Satellite data/ support

IUP-UB: Update of Panda team

IUP-UB contribution for Panda

DOAS group at IUP-UB: (Differential Optical Absorption Spectroscopy)

• Spectra of light scattered in atmosphere or

reflected at ground

• Absorption structures fitted to optical depth

Satellite sensors (for Panda)

GOME (1995-2003)

SCIAMACHY (2002-2012)

GOME-2 (since 2006/2012)

Trace gases (for deliverable D1.2):

• NO2, HCHO, SO2 (vertical columns)

I)(Residual)(

NO2 fit

NO2 absorption structures

DOAS fit example

SCIAMACHY onboard Envisat

Viewing

geometry

NO2 timeseries over China (30-40°N, 110-123°E) from different sensors, NRT data:

Same trend for all instruments, 2014 first year with clear decrease in

NO2 columns. OMI lower due to noon orbit.

Example of NO2 tropospheric columns delivered for D1.2:

• Data converted and uploaded in NetCDF format (as decided at kick-off meeting)

• CF conventions compliant (http://cfconventions.org/)

• Available on IUP-UB server, accessible from PANDA-webpage

http://www.marcopolo-panda.eu/results/toolbox/satellite-observations/

• Password-protected (for password contact Andreas.Hilboll@uni-bremen.de)

IUP-UB: Future plans

• Extraction of NO2 timeseries over all Panda and MarcoPolo ground-stations

(work already started, results will be provided on IUP server soon)

• Outlook: Data product for vertical distribution of NO2 under developement

(preliminary version will be possibly available as timeseries over ground stations)

Validation of satellite data (Task 1.4 with Chinese partners)

Presentation of Andreas Hilboll during validation workshop on Wednesday

Improvement of data sets, e.g.:

• Better aerosol treatment

• Better inputs for AMF

High resolution a priori data bases link to S5P and QA4ECV projects

Better a priori profiles model input from Panda?

Boundary layer flag to identify scenes with NO2 in BL

IUP-UB: NO2 boundary layer flag

• NO2 BL flag uses wavelength dependence of signal from lower atmosphere

• Automatic separation of NO2 in stratospehre / upper troposphere and BL

• Noise is a problem

• Potential for quantitative use is currently being investigated

High NO2 from

stratosphere

High NO2 from

boundary layer

No signal from

BL flag Clear signal

from BL flag

Pierre Coheur – Senior Research Associate FRS-FNRS Daniel Hurtmans – Senior researcher Associate FRS-FNRS Catherine Wespes – Research Associate FRS-FNRS Stamatia Doniki – PhD student Martin van Damme – PhD student Rosa Astoreca– Research assistant

LATMOS

Atmospheric spectroscopy group

http://scqp.ulb.ac.be/specat/

Cathy Clerbaux – Directeur de recherche CNRS (LATMOS, Paris) – Lecturer at ULB Juliette Hadji-Lazaro – Research Engineer Maya George – Research Engineer Anne Boynard – PostDoc Sarah Safieddine - PhD student

PANDA team ULB

http://latmos.ipsl.fr/

Atmospheric trace gases with IASI on MetOp

• Meteorology Weather forecast • Atmospheric composition Measurements Climate gases monitoring Understand atmospheric chemistry • Operational applications Fire detections, volcanic plumes,…

• 12 km pixel x 4 @ nadir

• 120 spectra along the swath (±48.3° Scan

2400 km), each 50 km along the trace

1,3x106 data daily *2 (MetOp-A and -B)

• Spectral coverage = 645-2760 cm-1

• Spectral resolution = 0.5 cm-1

• Radiometric noise ~ <0.1-0.2 K

IASI nadir

looking FTS

Aims of the IASI/MetOp mission:

- Near-real time FORLI-CO, O3 : Fast Operational Retrievals on Layers for IASI (cfr. Hurtmans et al., 2012) – Vertical profile

- NH3 – hyper-spectral range index (HRI) – Total column

IASI processing chains:

For PANDA

What we do: • Spectroscopy • Radiative Transfer • Inverse methods • Atmospheric chemistry • Climate

From the thermal infra-red sensors (e.g. IASI/MetOP-A and -B, GOSAT, ACE-FTS,…)

FORLI-CO total columns for PANDA available on French database Ether Vertical profiles available upon request - Cfr. D1.2 Report

CO SO2

Boynard et al, GRL 2014

Pollution event as seen by IASI (January 12, 2013)

• Extreme concentrations in

several pollutants (CO, SO2, NH3)

• Temperature inversion increased sensitivity of IASI at surface level

Monitoring pollution in Asia with IASI - Achievements so far

Carbon monoxide

Spatial distributions of IASI night time CO total columns on 15 January 2015. All data are interpolated on a 0.25° × 0.25° grid. The white areas correspond to no data.

January 2015 pollution events! Carbon monoxide

Courtesy A. Boynard

Tropospheric ozone in urban and rural regions in China

Courtesy S. Safieddine

• Seasonality in tropospheric ozone in several East Asian cities and the effect of the East Asian summer monsoon on tropospheric ozone.

FORLI-O3: Profiles available on FTP on request (email to C. Clerbaux or P. Coheur) - Cfr. D1.2 Report

Population density

. O3 co

l. (DU

) Monitoring pollution in Asia with IASI - Achievements so far

Trop. Ozone

Comparisons with ground-based measurements in China

Ammonia

NH3 emission in 1 km grid cell (kg/yr)

(Huang et al., GBC 2012)

0.05ºx0.05º grid (mg/m²)

(Van Damme et al., ACP 2014)

Shangzhuang site in the North China Plain IASI

Ground-based meas.

IASI NH3: • Full dataset available on FTP on request

(email to C. Clerbaux or P. Coheur) • Quick look already available on Ether for one

year • Preliminary validation work performed (Van

Damme, ACPD, 2014)

(Van Damme et al., AMTD 2014)

Total columns CO data for PANDA are stored on the French Ether database. http://www.pole-ether.fr Click first on the IASI logo/ then on PANDA project Login info is available on request (please email to Cathy Clerbaux or Pierre Coheur) Then access the CO-FORLI data through calendar or wget (ascii format) Quicklooks plots are also available

Databases Carbon monoxide

Quicklooks

Databases Ammonia

Quicklooks

Availability of FY-3 O3 DATA

• Fy-3B/TOU O3 product from Aug. 2013 in ASCII is available from:

http://wisportal.cma.gov.cn:8080/nsmc/FY3B.P_TOUXX_GBAL_L2_TO

Z_MLT_GLL_POAD_110KM_MS_TXT.BAWX/

• Or by anonymous ftp from the site: 210.73.54.47

• FY-3A/TOU data from June 2008 ~Dec. 2014 and FY-3B/TOU data

from Nov. 2010~July 2013 will be uploaded very soon.

Availability of FY-3 O3 DATA

Examples of FY-3B/TOU O3 products

FY-3B/TOU Global ozone map (2014.8)

Updated email list of WP1 participants

Updated list of WP1 (new staff):

IUP-UB:

Andreas Richter richter@iup.physik.uni-bremen.de

Enno Peters enno@iup.physik.uni-bremen.de

Andreas Hilboll hilboll@iup.physik.uni-bremen.de

Lisa Behrens lbehrens@iup.physik.uni-bremen.de

CNRS / LATMOS:

Cathy Clerbaux cathy.clerbaux@latmos.ipsl.fr

Anne Boynard anne.boynard@latmos.ipsl.fr

Sarah Safieddine sarah.safieddine@latmos.ipsl.fr

Pierre-François Coheur pfcoheur@ulb.ac.be

Rosa Astoreca rastoreca@ulb.ac.be

Catherine Wespes cwespes@ulb.ac.be

U Leicester:

Paul Monks psm7@leicester.ac.uk

Xingying Zhang zxy@cma.gov.cn

Weihe Wang wangwh@cma.gov.cn

Huanhuan Yan yanhh@cma.gov.cn

IAPCAS:

Lili Wang wll@mail.iap.ac.cn

Xuemei Wang eeswxm@mail.sysu.edu.cn

Qi Fan eesfq@mail.sysu.edu.cn

Min Shao mshao@pku.edu.cn

SOE-THU:

Kebin He hekb@tsinghua.edu.cn

Qiang Zhang qiangzhang@tsinghua.edu.cn

Fei Liu fei-liu10@mails.tsinghua.edu.cn

Meng Li limeng11@mails.tsinghua.edu.cn

Thank you!

O3, NSMC

NO2, IUP-UB

NH3, ULB, LATMOS

Report on WP 1 - marcopolo-panda.eu€¦ · Report on WP 1 Enno Peters, Andreas Richter, Andreas...

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