Atmospheric data access for the geospatial user community



ADAGUC Workshop 7 June 2017
KNMI organizes a 1-day workshop to provide hands-on experience with the ADAGUC software suite. Please check the announcement for the programme and how to signup.
EGU, Geobuzz and Eumetsat
The latest presentations and posters from EGU, Geobuzz and Eumetsat have been added. See the presentations section here.
ADAGUC Workshop 17-19 June 2015
KNMI organizes a 3-day workshop to provide hands-on experience with the ADAGUC software suite. Please check the announcement for the programme and how to signup.
Application of polar orbiters with Pytroll and ADAGUC
Demonstration of Pytroll and ADAGUC displaying Suomi NPP Viirs. Read more here.
Results ADAGUC Workshop 2013
KNMI has organized a 3-day workshop to get hands-on experience with the ADAGUC software suite: workshop June 2013.
ADAGUC Workshop 17-19 June 2013
KNMI organizes a 3-day workshop to get hands-on experience with the ADAGUC software suite. Please read the announcement for the programme and how to signup.
Status of ADAGUC and OGC services at KNMI.
Launch of MSGCPP website
Launch of new website offering real-time MSG-CPP products using ADAGUC technology:
Update of the precipitation service
The radar precipitation service has been updated. Besides better compliance to the WMS 1.1.1 specification, the Google Maps projection is now supported.
ADAGUC presentations at EGU 2009
The ADAGUC presentations given at the EGU in Vienna are now online. You can access them here.
Radar precipitation service available
The KNMI radar precipitation composite is now available in realtime through the ADAGUC services. The service can be found here.

ADAGUC Products Standard V1.1 is now available
The ADAGUC Product Standard document (v1.1) is now publicly available.
Presentations ADAGUC workshop 2008 available online
The presentations can be found in the
documentation section
Final ADAGUC workshop
December 4-5 at VU, Amsterdam.
Workshop Announcement
ADAGUC Products Standard V1.0 is now available
The ADAGUC Product Standard document (v1.0) is now publicly available.
ADAGUC driver on GDAL Wiki (v0.1)
In agreement with Frank Warmerdam Maarten Plieger created an ADAGUC wiki on where the ADAGUC GDAL NetCDF4 driver can be found.
ADAGUC presentations at EGU 2008
The presentations of the ADAGUC talks and posters at the EGU in Vienna are now online. You can access them here.
ADAGUC at EGU 2008 - General Assembly & Congress in Vienna
3 talks and 3 posters will be presented by ADAGUC members
First ADAGUC demonstrator service is available
Example datasets can be viewed and downloaded here
Use Case and User Requirements documents published
The use case document (v2.1) and user requirements document (v1.3) are now publically available: Use cases V2.1, User Requirements v1.3
ADAGUC at the ENVISAT 2007 conference
At the ENVISAT symposium 2007 in Montreux a poster is presented with goals and status of ADAGUC
ADAGUC at EGU General Assembly 2007 in Vienna
Goals and current status of ADAGUC will be presented in an oral presentation
ADAGUC at National Geo Information Days in Rotterdam
ADAGUC presented 2 posters to the Dutch Geoinformation community in the former van Nelle factory in Rotterdam. more
ADAGUC success in Geo-Connected
ADAGUC will receive an additional grant for a top-up project, dealing with climate and forecast data. The Geo-Connected tender has been issued by RGI to establish bridges between research programs.
Presentations workshop 2006 online
The presentations of the ADAGUC workshop are now online. You can access them here.

SCIA NO2 Nitrogen Dioxide

NO2 Product description

Gridded tropospheric NO2 data from SCIAMACHY

1. Identification

1.1. Product description

1.1.1. Abstract

Global tropospheric NO2 columns are retrieved from satellite observations. They are based on slant column NO2 retrievals with the DOAS technique, and the KNMI combined modelling/retrieval/assimilation approach. The slant columns from SCIAMACHY observations are derived by BIRA-IASB.

1.1.2. Purpose

The dataset has been developed to monitor air pollution from anthropogenic and natural sources.

1.1.3. Application

See the ADAGUC use cases.

1.2. Time period of content

1.2.1. Time period of content

July 2002 till today.

1.2.2. Currentness reference

Actual time of observation.

1.3. Status

1.3.1. Progress

Complete and validated.

1.3.2. Maintenance and update frequency


1.4. Spatial Domain

1.4.1. Bounding coordinates

Global coverage: Longitude [-180,180], latitude [-90.,90.].

1.5. Keywords

1.5.1. Theme

Atmosphere, air quality.

1.5.2. Place


1.5.3. Stratum


1.5.4. Temporal

July 2002 till today.

1.6. Access constraints


1.7. Use constraints


1.8. Point of contact

Ronald van der A, KNMI,

1.9 Citation

1.9.1. Originator


1.9.2. Publication date

August 2005.

1.9.3. Title

Tropospheric NO2 from SCIAMACHY.

1.9.4. Edition

Version 1.10.

1.10 Preview

Figure 1. The mean tropospheric NO2 column for the year 2004 as derived from cloud-free and nearly cloud-free (cloud radiance <50%) SCIAMACHY observations. For the grey areas no observations are shown due to a persistent snow-covered ground surface or cloud cover.

1.11. Data set credit

H.J. Eskes, K.F. Boersma, R.J. van der A

1.12. Cross reference

GOME, OMI and GOME-2 tropospheric NO2 data (

1.13. Literature

Error Analysis for Tropospheric NO2 Retrieval from Space, K.F. Boersma, H.J. Eskes and E.J. Brinksma, J. Geophys. Res. 109 D04311, doi:10.1029/2003JD003962, 2004.

2. Data Quality

2.1 Lineage

2.1.1. Source information

NO2 slant columns from BIRA-IASB.

2.1.2. Processing steps Processing description

Satellite instruments use spectroscopy to retrieve atmospheric trace gas concentrations in the atmosphere. By comparing the measured spectrum of the backscattered light from the Earth’s atmosphere with a reference spectrum, the column density of nitrogen dioxide along the light path can be determined. The NO2 stratospheric column is deduced from a chemistry-transport model assimilation run of the NO2 column data. Subsequently, the assimilated stratospheric column is subtracted from the retrieved total column, resulting in a tropospheric column. Algorithms used

Tropospheric NO2 retrieval algorithm. Ancillary data

Meteorological data (wind, temperature, surface pressure) by ECMWF. Processing date

Continuously. Data validation

30-40 %.

3. Spatial Data Organization

3.1. Indirect Spatial Reference

Map covers the world.

3.2. Direct Spatial Reference Method


3.3. Point and vector object information


3.4. Raster object information

3.4.1. Row count


3.4.2. Column count


3.4.3. Vertical count


4. Spatial Reference

4.1. Coordinate System

4.1.1. Geographic coordinate units


4.1.2. Map projection


4.1.3. Datum


4.1.4. EPSG Code


4.1.5. PROJ4 parameters

+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs

5. Product Description Reference Information

5.1. Product Description Date


5.2. Product Description Review Date


5.3. Product Description Contact

Dr. R. van der A (email