Coordinator : M. De Mazière BIRA-IASB n ors.aeronomie.be

M. De Mazière NDACC UVVIS July 2012

Demonstration Network Of ground-based Remote Sensing observations in support of the GMES Atmospheric Service

Coordinator: M. De MazièreBIRA-IASB

nors.aeronomie.be


Context• European Initiative

Global Monitoring for Environment and Security (GMES) 6 thematic areas- atmosphere- land- ocean- security - emergencies- climate

Supported by ESA and EU since early 2000


Context• A number of ESA and EU projects have been funded in preparation

of the operational GMES Atmosphere Service (GAS):

In particular the EU projects MACC and MACC-II : Monitoring Atmospheric Composition and Climate, is the

current pre-operational atmospheric service of the European GMES programme.

www.gmes-atmosphere.eu

MACC combines state-of-the-art atmospheric modelling with Earth observation data to provide information services covering European Air Quality, Global Atmospheric Composition, Climate, and UV and Solar Energy.

Overall Objective of NORSPerform the required research and developments to optimize the NDACC data and data products for the purpose of supporting the quality assessments of the future GAS.


NORSNORS is a demonstration project• target NORS data products

• tropospheric and stratospheric ozone columns and vertical profiles up to 70 km altitude;

• tropospheric and stratospheric NO2 columns and profiles;

• lower tropospheric profiles of NO2, HCHO, aerosol extinction;

• tropospheric and stratospheric columns of CO• tropospheric and stratospheric columns of CH4

• 4 NDACC techniques: LIDAR, MW, FTIR, UV-VIS DOAS and MAXDOAS

• 4 NDACC pilot stations


NORS pilot stations

3 out of 4 are also TCCON sites

Partners: BIRA-IASB, EMPA, INTA, UBern, KIT, CNRS, Ubremen, Ulg, MPIC, UH, S&T


• Rapid data delivery to NDACC with a delay of maximum 1 month (WP3);

• Promote NORS data as validation data within GAS: provide an extensive characterisation of targeted NDACC data and user documentation (WP 4);

• to investigate the integration of ground-based data products from various sources (ground-based in-situ surface and remote-sensing data, and satellite data)

• to provide ground-based measurement time series back to 2003 in support of the re-analysis products of GAS.

NORS objectives


NORS objectives

• to develop and implement a web-based application for validation of MACCII products using the NORS data products.

• Capacity building (WP 10): To ‘export’ project achievements to whole NDACC

community To support the extension of NDACC to stations

outside Western Europe, namely in the tropics, in China, Latin America, Africa and Eastern Europe


Status of the NORS project• Start Nov. 1, 2011• Duration: 33 months• KO meeting, Brussels, Dec. 14, 2011• Already achieved:

• NORS website nors.aeronomie.be • Decision about data format: NORS sticks to GEOMS

data format• Rapid data delivery systems are set up• Data will be submitted to NDACC database, in a

separate directory for “NRT” data• User requirements are formulated for the NORS

validation server• Validation Server Design Document will be delivered

< July 10.• Good communication with the MACC-II project and

MACC-II VAL


Overview validation server

Some things have to be decided by UVVIS WG


Questions to this group• Related to URD

• Colocation criteria for ‘validation’ • Effective airmass location of a DOAS/MAXDOAS

observation• What exactly to compare ?• …..

• Related to WPs 3 and 4• Format issues and user guide of the data• Harmonisation and characterisation of products• Comparisons between UVVIS and FTIR data for

NO2 and HCHO• …..


Invitation to this groupCf. WP10

All NDACC teams willing to contribute data to the data stream and the validation of the MACC-II products are welcome,

provided that data are submitted rapidly, in GEOMS HDF format and following the guidelines that will be discussed in this WG

once the system is up and running (month 18 – 21 of the project April – July 2013)


Description of the validation server• NORS target species: e.g. O3 total column at

LA.REUNION• MACC-II model: extract O3 data at LA.REUNION…

generated every 6hours• How to compare the data?

Time

6h

MACC output

1. temporal co-location measurements <-> model data


• Choose a ‘characteristic time window’ for every NORS product.

Temporal co-location

Time

6h

MACC output

6h

•Window should not be bigger than 6h1 measurement -> 1 MACC output

•FTIR products choose windows = 6h

`


• For every measurement, calculate the location of the effective airmass

• Interpolate the four surrounding MACC-II model data to this effective airmass location:

Spatial co-location

for every measurement -> a unique corresponding (interpolated) MACC data point.


• The MACC-II data is smoothed with the averaging kernel of the NORS measurement

• Then statistics can be calculated (mean bias, modified normalized mean bias, …)

Comparison of columns

Vertical grid


• The MACC-II data is smoothed with the averaging kernel of the NORS measurement

• To compare partial columns, regrid to a vertical grid on which the retrieved profile has about 1 DOF between two boundaries

Comparison of profiles

1 DOF• This grid will

depend on the instrument (and location). Every instrument should provide its `preferred’ vertical grid.


Determine the unit DOF grid• Subgrid of grid in GEOMS data • v=diagonal vector of (averaged) averaging kernel


Summarizing for FTIR

• For FTIR products: time between MACC outputs = 6h = characteristic time

• Calculation of effective airmass location with raytrace tool (based on fastcode) + interpolation

• Definition of the ‘preferred vertical grid’. For current NORS FTIR data providers: send the midpoint

heights and height indices [email protected]

Coordinator : M. De Mazière BIRA-IASB n ors.aeronomie.be

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