Contributions in Gothenburg proceedings
Looking down to Earth in the New
Millennium,
Proceedings of the ERS-ENVISAT Symposium, 16-20 October 2000,
Gothenburg, Sweden, ESA publication SP-461 (CD-ROM):
-
Piters, A.J.M., Van der A, R.J., Van Geffen, J.H.G.M., Van Oss, R.F.
and Valks, P.J.M.: 2000,
"Retrieving spectral reflectivities from Extracted GOME Instrument
header data"
===>
Abstract & Introduction
|
PDF file (8 pages; 68 kB)
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Van der A, R.J., Eskes, H.J., Van Geffen, J.H.G.M., Van Oss, R.F.,
Piters, A.J.M., Valks, P.J.M. and Zehner, C.: 2000,
"GOME Fast delivery and value-Added Products (GOFAP)"
===>
Introduction
|
PDF file (4 pages; 68 kB)
-
Van der A, R.J., Piters, A.J.M., Van Oss, R.F., Valks, P.J.M.,
Van Geffen, J.H.G.M., Kelder, H.K. and Zehner, C.: 2000,
"Near-real time delivery of GOME ozone profiles"
===>
Abstract & Introduction
|
PDF file (8 pages; 212 kB)
<=== Publications page
Piters, A.J.M., Van der A, R.J., Van Geffen, J.H.G.M., Van Oss, R.F.
and Valks, P.J.M.: 2000,
"Retrieving spectral reflectivities from Extracted GOME Instrument
header data"
- Abstract
-
-
The Extracted GOME Instrument header (EGOI) data, which are
available near-real time and contain parts of the UV-Vis spectra, are used
in the retrieval of ozone columns and profiles. This work is done in the
framework of the ESA-DUP project GOFAP. The level 0-1 algorithms used are
based on the GOME Data Processor (GDP) algorithms of DLR, but there are
several differences. The corrections for straylight and polarisation
sensitivity differ from the GDP algorithms in order to account for the
limited spectral information in the EGOI data (only nine small spectral
windows are available). Detailed validation studies have resulted in several
improvements in the level 0 to 1 algorithms. These comprise the wavelength
calibration, correction of Peltier cooler interference, correction for
polarisation sensitivity and correction of the effective reflectivity
degradation. This paper gives an overview of the level 0-1 processor.
-
- Introduction
-
-
The aim of the project "GOME Ozone Fast Delivery and value-Added Products''
(GOFAP) is to develop a Fast Delivery (FD) processor retrieving total ozone
columns and stratospheric profiles from the Extracted GOME Instrument header
data (EGOIs), which are used at ESRIN for the instrument performance and
quality assurance monitoring. The project is performed within the framework
of ESA's Data User Programme (DUP).
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The GOME FD processor constructs reflectivity spectra from the EGOI data
("level 0-to-1 processing"), and retrieves from these reflectivity spectra
the ozone columns and stratospheric profiles ("level 1-to-2 processing").
The ozone columns and profiles are distributed via WWW within three hours
after observation. For more details on the GOFAP project, see [1]. The
profile retrieval is decribed in [2] and the ozone column retrieval in [3].
-
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The algorithms used to construct reflectivities from the raw GOME data are
based on the GOME Data Processor (GDP) algorithms [4,5]. However, there are
several differences. The corrections for straylight and polarisation
sensitivity differ from the GDP algorithms in order to account for the
limited spectral information in the EGOI data (see Table 1). Furthermore,
adapted algorithms have been used for wavelength calibration, correction of
Peltier cooler interference, correction for polarisation sensitivity,
radiometric calibration correction and correction of the effective
reflectivity degradation. In this paper an overview is given of the level
0-to-1 algorithms. The main differences with the GDP algorithms are
explained in some detail.
Table 1. EGOI spectral windows
WINDOW
|
RANGE (NM)
|
WIDTH (NM)
|
1
2
3
4
5
6
7
8
9
|
272.2 - 275.9
282.9 - 285.6
292.5 - 302.9
305.3 - 307.9
312.0 - 314.5
323.1 - 336.2
351.6 - 352.8
372.3 - 373.4
758.1 - 778.4
|
3.7
2.7
10.4
2.6
2.5
13.1
1.2
1.1
20.3
|
<=== Publications page
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Van der A, R.J., Eskes, H.J., Van Geffen, J.H.G.M., Van Oss, R.F.,
Piters, A.J.M., Valks, P.J.M. and Zehner, C.: 2000,
"GOME Fast delivery and value-Added Products (GOFAP)"
- Introduction
-
-
In the framework of the ESA-DUP project GOFAP [1] the delivery of GOME ozone
products in near-real time (NRT) tousers has been accomplished. Since 1998
NRT ozone columns [2] are available through the KNMI website and since the
beginning of 2000 they are accompanied by NRT stratospheric ozone profiles.
Numerical weather prediction is expected to benefit from assimilation of
stratospheric ozone profiles, if they are retrieved within 3 to 6 hours
afterobservation. This requires a fast retrieval algorithm and a near-real
time availability of the spectra. In this paper it is demonstrated that
operational near-real time ozone profile retrieval for the use in weather
forecast models is feasible.
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The NRT ozone products of GOFAP are retrieved from specific segments of the
full GOME spectrum contained in theEGOI files. These files are originally
meant for instrument monitoring, but soon their suitability for NRT delivery
of GOME products was recognised. Since the EGOI files contain raw data, a
level 0-1 processor has been developed,partly based on the operational GDP
processor.
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For ozone profile retrieval the UV part (270-340 nm) of the GOME spectrum is
used. The spectrum is measured with an integration time of 1.5 seconds,
except for the spectrum below 283 nm, which has an exposure time of 12
seconds. Since GOME only measures spectra on the day side of each orbit,
this implies that the processing time for one profile should not take longer
than 24 seconds on average to keep up with the observations. A horizontal
resolution of about 250 km suffices for weather forecasts (based on scales
of nominal weather systems). The accuracy of the ozone profiles in the
stratosphere should be better than the climatology presently used in the
forecast models. Furthermore, a correct estimate of the accuracy is
essential. There are no such requirements on the accuracy of the
tropospheric part of the profile. To achieve a high accuracy in the
stratosphere, several steps in the level 0-1 had to be improved, as shown by
detailed validation studies on the quality of this level 1 data.
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This paper will provide an overview of the accomplishments of the project,
while details of the work will be given indedicated papers.
<=== Publications page
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Van der A, R.J., Piters, A.J.M., Van Oss, R.F., Valks, P.J.M.,
Van Geffen, J.H.G.M., Kelder, H.K. and Zehner, C.: 2000,
"Near-real time delivery of GOME ozone profiles"
- Abstract
-
-
A Fast Delivery processor has been developed to provide GOME ozone products
within 3 hours after observation. This service meets the growing demand for
ozone products for purposes like assimilation in numerical weather
prediction models, UV radiation forecasts, and planning of experiments
related to atmospheric chemistry research. The ozone products consist of
total ozone columns, the global assimilated ozone field, global
stratospheric ozone profiles, cloud fraction, cloud top pressure and the
aerosol absorption index. The validation and current developments of the
near-real time processor and the delivered ozone products are discussed.
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- Introduction
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In the framework of the ESA Data User Program a Fast Delivery processor has
been developed to provide near-real time (i.e. within 3 hours after
observation) ozone products from the satellite instrument GOME [1] on ERS-2.
By making maximum use of the existing ERS ground segment and European
Internet links, the retrieval of ozone products can be performed within 3
hours after observation from the Extracted GOME Instrument Header (EGOI)
Data.
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A spectral and radiometric calibration is performed on the raw EGOI data to
calculate the earthshine and sunshine spectra (i.e. the level 1 product)
[2]. This level 1 product contains parts of the ultra violet spectrum
applicable for the retrieval of ozone columns and ozone profiles and parts
of the visible spectrum used for retrieval of cloud and aerosol information.
The cloud fraction and cloud top pressure are calculated with the FRESCO
algorithm [3]. The aerosol absorption index is computed to have an
indication for areas with heavy aerosol pollution. This index is comparable
to the aerosol absorption index of TOMS [4]. After processing all products
are directly available on the web site
http://www.knmi.nl/gome_fd/
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Jos van Geffen --
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created: 29 January 2002
last modified: 19 August 2020