Atmospheric data access for the geospatial user community



ADAGUC Workshop 21-23 November 2018
KNMI organizes a 3-day workshop to provide hands-on experience with the ADAGUC software suite.
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 CH4 Methane

Methane Product Description

1. Identification

1.1. Product description

1.1.1. Abstract

The product contains vertical column densities of atmospheric methane as retrieved from SCIAMACHY near infrared spectra. The coverage is global and all available data from 2003 through 2005 have been processed. Concurrent carbon dioxide retrievals are used to convert vertical column densities to column averaged mixing ratios of methane.

1.1.2. Purpose

Global measurements of methane are indispensable for a reliable assessment of methane sources resolved in time and space. As methane is the second most important anthropogenic greenhouse gas, this is of prime importance for predicting climate change.

1.1.3. Application

The dataset can be used to estimate sources of atmospheric methane, as exemplified in Bergamaschi et al. (2007) and Meirink et al. (2008).

1.2. Time period of content

1.2.1. Time period of content


1.2.2. Currentness reference

The dataset is based on latest improvements of the methane retrieval algorithm as published in Frankenberg et al. (2008a,b).

1.3. Status

1.3.1. Progress

Scientific dataset, partially 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

Column averaged mixing ratios of atmospheric methane.

1.5.2. Place


1.5.3. Stratum

Mean methane mixing ratio (weighted by atmospheric mass) of the entire atmospheric column, i.e. surface layer up to top of the atmosphere.

1.5.4. Temporal


1.6. Access constraints

These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights.

1.7. Use constraints

The availability of these data does not constitute publication of the data. We rely on the ethics and integrity of the user to assure that SRON receives fair credit for our work. If the data are obtained for potential use in a publication or presentation, SRON should be informed at the outset of the nature of this work. If the SRON data are essential to the work, or if an important result or conclusion depends on the SRON data, co-authorship may be appropriate. This should be discussed at an early stage in the work. Manuscripts using the SRON data should be sent to SRON for review before they are submitted for publication so we can insure that the quality and limitations of the data are accurately represented.

1.8. Point of contact

Netherlands Institute for Space Research, Christian Frankenberg,

1.9 Citation

1.9.1. Originator

Netherlands Institute for Space Research, Christian Frankenberg.

1.9.2. Publication date


1.9.3. Title

Atmospheric methane retrieved from SCIAMACHY.

1.9.4. Edition


1.10 Preview

1.11. Data set credit

C. Frankenberg, I. Aben (SRON).

1.12. Cross reference

SCIAMACHY carbon monoxide – Annemieke Gloudemans.

1.13. Literature

[1] Frankenberg, C., Platt, U., and Wagner, T.: Iterative maximum a posteriori (IMAP)-DOAS for retrieval of strongly absorbing trace gases: Model studies for CH4 and CO2 retrieval from near infrared spectra of 360 SCIAMACHY onboard ENVISAT, Atmos. Chem. Phys., 5, 9–22, 2005a.

[2] Frankenberg, C., Meirink, J. F., van Weele, M., Platt, U., and Wagner, T.: Assessing Methane Emissions from Global Space-Borne Observations, Science, 308, 1010–1014, doi:10.1126/science.1106644,, 2005b.

[3] Frankenberg, C., Meirink, J. F., Bergamaschi, P., Goede, A. P. H., Heimann, M., Körner, S., Platt, U., van Weele, M., and Wagner, T.: Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: Analysis of the years 2003 and 2004, J. Geophys. Res., 111, D07 303, doi:10.1029/2005JD006235, 2006.

[4] Bergamaschi, P., Frankenberg, C., Meirink, J. F., Krol, M., Dentener, F., Wagner, T., Platt, U., Kaplan, J., Körner, S., Heimann, M., et al.: Satellite chartography of atmospheric methane from SCIAMACHY on board ENVISAT: 2. Evaluation based on inverse model simulations, J. Geophys. Res., 112, D02 304, doi:10.1029/2006JD007268, 2007.

[5] Meirink, J. F., P. Bergamaschi, C. Frankenberg, M. T. S. d'Amelio, E. J. Dlugokencky, L. V. Gatti, S. Houweling, J. B. Miller, T. Roeckmann, M. G. Villani, and M. C. Krol (2008), Four-dimensional Variational Data Assimilation for Inverse Modeling of Atmospheric Methane Emissions: Analysis of SCIAMACHY Observations, J. Geophys. Res., doi:10.1029/2007JD009740, in press.

[6] Frankenberg, C., Warneke, T., Butz, A., Aben, I., Hase, F., Spietz, P., and Brown, L. R.: Methane spectroscopy in the near infrared and its implication on atmospheric retrievals, Atmos. Chem. Phys. Discuss., 8, 10021-10055, 2008.

[7] Frankenberg, C., Bergamaschi, P., Butz, A., Houweling, S., Meirink, J. F., Petersen, K., Schrijver, H., Warneke, 365 T., and Aben, I.: Tropical methane emissions: A revised view from SCIAMACHY onboard ENVISAT, Geophys. Res. Lett., 35, doi:10.1029/2008GL034300, in press, 2008b.

2. Data Quality

2.1 Lineage

2.1.1. Source information Source citation

2.1.2. Processing steps Processing description Algorithms used

IMAP-DOAS, see Frankenberg et al, 2005a [1]. Ancillary data

GTOPO30 surface elevation database, ECMWF pressure, temperature and water vapor profiles. Processing date

2008. Data validation

Single-shot precision is about 1-2%, depending on surface albedo (i.e. signal level). Large scale biases on the same order might exist.

3. Spatial Data Organization

3.1. Indirect Spatial Reference

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

5. Product Description Reference Information

5.1. Product Description Date

5.2. Product Description Review Date

5.3. Product Description Contact