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New Total Column Ozone Data from GOME
Reaching the Accuracy of Ground-Based Measurements with
GDP 4.0
The Global Ozone Monitoring Experiment (GOME)
has been measuring global distributions of total ozone since July 1995. Operational
GOME data products are generated by the GOME Data Processor (GDP) on behalf
of ESA, at the German Processing and Archiving Facility (D-PAF) at DLR.
A new total column algorithm, GDP 4.0, has been developed by scientists from
BIRA, SAO
and DLR funded by ESA.
Independent geophysical validation shows that the average agreement of GDP 4.0
with correlative ozone column measurements is now at the “percent
level”, that is, comparable to the precision level of ground-based
sensors.
The current quality of the GOME ozone data meets the requirements for the most
demanding geophysical research applications such as ozone trend analysis and
polar process studies.
Long-term global monitoring of total ozone from European
spectrometers is moving with GDP 4.0 into a new era. The GOME and GOME-2 sensor
series (the first one scheduled for launch in early 2006) will provide a unique
data record covering a time period of over 25 years.
Data Distribution
The complete GOME data record from July 1995 onwards
has been reprocessed with GDP 4.0:
GDP 4.0 Total Column Algorithm
The Differential Optical Absorption Spectroscopy
(DOAS) approach adopted in GDP consists of the spectral fitting of the apparent
slant column amount, followed by its conversion into vertical column amount
using a calculated Air Mass Factor (AMF) and the correction for cloud contamination
using cloud information inferred from GOME measurements.
The main GDP 4.0 algorithm characteristics are:
- improved correction for Raman scattering
- AMFs determined iteratively using on-line radiative transfer forward model calculations
- new cloud algorithms
- effective absorption temperature derived by spectral analysis
- improved atmospheric and surface databases
A detailed description of the GDP 4.0 algorithm can
be found in the Algorithm Theoretical
Basis Document (ATBD).
GDP 4.0 Validation
The GDP 4.0 algorithm has been validated by scientists
from BIRA and AUTH.
GOME ozone total column data was compared with pole-to-pole ground-based measurements
from SAOZ/DOAS UV-visible Brewer and Dobson spectrometers, and with data from
other satellite sensors.
In general, the average agreement of GDP 4.0 with
correlative ozone column measurements falls to the percent level. At polar latitudes,
and at solar zenith angles beyond 80°, preliminary validation indicates that
the agreement is slightly worse, but do not exceed 5%. A remarkable feature of
the GOME data record is that, despite the anticipated degradation of the instrument
with time, the ozone total column product does not suffer from any long-term drift
of quality.
A detailed description of the quality and validation
of the GOME products can be found in the Product
Disclaimer, the Delta Validation
Report and the GOME Validation sites BIRA
and AUTH.
Technical Documentation
The following documents contain technical information relevant to GDP 4.0:
- Loyola, D., B. Aberle, W. Balzer, K. Kretschel, E. Mikusch, H.
Muehle, T. Ruppert, C. Schmid, S. Slijkhuis, R. Spurr, W. Thomas, T.
Wieland, and M. Wolfmueller (1997), Ground Segment for ERS-2 GOME Data Processor,
3rd Symposium on Space in the Service of our Environment, Florence, Italy, ESA SP-414, 591-597.
- Loyola (1999),
Using artificial neural networks for the calculation of air mass factors,
ESAMS'99 - European Symposium on Atmospheric Measurements from Space,
709-713, ESA WPP-161, Noordwijk, The Netherlands.
- Loyola (2000),
Cloud Retrieval for SCIAMACHY,
ERS-ENVISAT Symposium, Gothenburg.
- Slijkhuis, S., A. von Bargen, W. Thomas, and K. Chance (1999),
Calculation of Under-sampling correction spectra for DOAS spectral fitting,
ESAMS'99 - European Symposium on Atmospheric Measurements from Space,
Noordwijk, The Netherlands, ESA WPP-161, 563-569.
- Slijkhuis, B. Aberle, and D. Loyola (2004),
GOME Data Processor Extraction Software User's Manual,
ER-SUM-DLR-GO-0045, 2004.
- Spurr, R. (1999),
Improved
climatologies and new air mass factor look-up tables for O3 and NO2
column retrievals from GOME and SCIAMACHY backscatter measurements,
ESAMS'99 - European Symposium on Atmospheric Measurements from Space,
Noordwijk, The Netherlands, ESA WPP-161, 277-284.
- Spurr, R. (2003),LIDORT
V2PLUS: a comprehensive radiative transfer package for nadir viewing
spectrometers, remote Sensing of clouds and atmosphere,
Proceedings SPIE conference 5235, Barcelona, Spain.
- Spurr, R., D. Loyola, W. Thomas, W. Balzer, E. Mikusch, B. Aberle, S.
Slijkhuis, T. Ruppert, M. Van Roozendael, J.-C. Lambert, and T. V.
Soebijanta (2005), GOME Level 1-to-2 Data Processor Version 3.0: A Major Upgrade of the GOME/ERS-2 Total Ozone Retrieval Algorithm,
Applied Optics (to appear in the 20 November 2005 issue).
- Van Roozendael, M., V. Soebijanta, C. Fayt, and J.-C. Lambert (2002),
Investigation of DOAS Issues Affecting the Accuracy of the GDP Version 3.0 Total Ozone Product,
in ERS-2 GOME GDP 3.0 Implementation and Delta Validation, Ed. J.-C.
Lambert, ERSE-DTEX-EOAD-TN-02-0006, ESA/ESRIN, Frascati, Italy, Chap.6,
pp.97-129.
- Van Roozendael, M., J.-C. Lambert, R. J. D. Spurr, and C. Fayt (2004),
GOME Direct Fitting (GODFIT) GDOAS Delta Validation Report,
ERS Exploitation AO/1-4235/02/I-LG.
Contact
For further information please contact Diego
Loyola at DLR.

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