Data system of the Improved Limb Atmospheric Spectrometer (ILAS) on ADEOS for polar stratospheric ozone monitoring

Author(s):  
T. Yokota ◽  
N. Katatani ◽  
T. Nakajima ◽  
S. Mukai ◽  
M. Suzuki ◽  
...  
2010 ◽  
Vol 10 (23) ◽  
pp. 11839-11849 ◽  
Author(s):  
P. Keckhut ◽  
A. Hauchecorne ◽  
L. Blanot ◽  
K. Hocke ◽  
S. Godin-Beekmann ◽  
...  

Abstract. The GOMOS ozone profiles have been analysed to evaluate the GOMOS ability to capture the long-term ozone evolution at mid-latitudes during the expected recovery phase of the ozone layer. Version 5 of the operational GOMOS ozone data has been compared with data from two of the longest ground-based instruments based on different techniques and already involved with many other previous space instrument validations. Comparisons between ground-based and GOMOS data confirm the occurrence of spurious retrievals mainly occurring since 2006. Using a selected set of data it is shown that some bad retrievals are induced by the increasing dark charge of the detectors combined with an inadequate method for its correction. This effect does not only induce a continuous bias, but is rather exhibiting a bimodal distribution including the correct profiles and the bad retrievals. For long-term analyses it is recommended filtering the data according to background light conditions and star temperature (spectrum shape). The new method of the dark charge estimate proposed to be implemented in the version 6 of the ESA algorithm seems to significantly reduce the occurrence of such effects and should allow to monitor stratospheric ozone using GOMOS data with greater confidence.


2008 ◽  
Vol 10 (10) ◽  
pp. 104021 ◽  
Author(s):  
E A Wolfram ◽  
J Salvador ◽  
R D’Elia ◽  
C Casiccia ◽  
N Paes Leme ◽  
...  

2007 ◽  
Vol 7 (6) ◽  
pp. 1575-1583 ◽  
Author(s):  
X. Liu ◽  
K. Chance ◽  
T. P. Kurosu

Abstract. We present a simple method to perform degradation correction to Global Ozone Monitoring Experiment (GOME) reflectance spectra by comparing the average reflectance for 60° N–60° S with that at the beginning of GOME observations (July–December 1995) after removing the dependences on solar zenith angle and seasonal variation. The results indicate positive biases of up to ~15–25% in the wavelength range 289–370 nm during 2000–2002; the degradation also exhibits significant dependence on wavelength and viewing zenith angle. These results are consistent with previous studies using radiative transfer models and ozone observations. The degradation causes retrieval biases of up to ~3% (10 DU, 1 DU=2.69×1016 molecules cm−2), 30% (10 DU), 10%, and 40% in total column ozone, tropospheric column ozone, stratospheric ozone and tropospheric ozone, respectively, from our GOME ozone profile retrieval algorithm. In addition, retrieval biases due to degradation vary significantly with latitude. The application of this degradation correction improves the retrievals relative to Dobson and ozonesonde measurements at Hohenpeißenberg station during 2000–2003 and improves the spatiotemporal consistency of retrieval quality during 1996–2003. However, because this method assumes that the deseasonalized globally-averaged reflectance does not change much with time, retrievals with this correction may be inadequate for trend analysis. In addition, it does not correct for instrument biases that have occurred since launch.


2010 ◽  
Vol 10 (6) ◽  
pp. 14713-14735 ◽  
Author(s):  
P. Keckhut ◽  
A. Hauchecorne ◽  
L. Blanot ◽  
K. Hocke ◽  
S. Godin-Beekmann ◽  
...  

Abstract. The GOMOS ozone profiles derived have been analyzed to evaluate the GOMOS ability to capture the long-term ozone evolution during its expected recovery phase. Version 5 of the GOMOS data has been compared with two of the longest ground-based instruments based on different techniques and already involved with many other previous space instrument validations. Increasing differences reported in 2006 indicate that some of the retrieved profiles are strongly biased. This bad retrieval is probably due to the increasing dark charge of the detectors combined with an inadequate method for its correction. This effect does not induce a continuous bias but is rather exhibiting a bimodal distribution including the correct profiles and the bad retrievals. For long-term analysis it is recommended to filter the data accordingly. The new method of dark charge estimate that is proposed to be implemented in the version 6 of the ESA algorithm, seems to reduce significantly the occurrence of such effects and will allow to monitor stratospheric ozone using GOMOS data with better confidence.


Anales AFA ◽  
2010 ◽  
pp. 262-265
Author(s):  
M.M. RAPONI ◽  
E. WOLFRAM ◽  
J. SALVADOR ◽  
F. GOUTAIL ◽  
J. TOCHO ◽  
...  

The stratospheric ozone (O3) is one of the most important gases in our atmosphere due to its capacity to absorb biologically harmful solar radiation (called UV-B) that would otherwise arrive to the terrestrial surface producing dangerous effects on different organisms. On the other hand, the nitrogen dioxide (NO2) is a key trace gas in the ozone photochemical. The systematic sensing of the concentration of NO2 and other minority gases is essential in order to understand the stratospheric ozone destruction and formation processes. In this work we present the study carried out on the seasonal variation of the atmospheric O3 and NO2 vertical column concentration, using a SAOZ spectrometer (System d' Analyse par Observation Zenitale) belonging to the Service d'Aéronomie (Centre National de Recherche Scientifique, France), located in Río Gallegos, Santa Cruz province (51º 36’ S, 69º 19’ W), in the CEILAP-RG remote sensing station. We analyze the correlation between the O3 and NO2 concentration and study the behavior of these gases in ozone hole situation. Likewise, we compare the ground-based measurement with those coming from the OMI/AURA (Ozone Monitoring Instrument, AURA satellite)


2008 ◽  
Author(s):  
Elian A. Wolfram ◽  
Jacobo Salvador ◽  
Raul D'Elia ◽  
Andrea Pazmiño ◽  
Sophie Godin-Beeckmann ◽  
...  

1998 ◽  
Vol 103 (D17) ◽  
pp. 22147-22161 ◽  
Author(s):  
J. de La Noë ◽  
O. Lezeaux ◽  
G. Guillemin ◽  
R. Lauqué ◽  
P. Baron ◽  
...  

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