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Academic literature on the topic 'SCIAMACHY measurements'

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Published: 10 March 2023

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Journal articles on the topic "SCIAMACHY measurements"

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Schlundt, C., A. A. Kokhanovsky, W. von Hoyningen-Huene, T. Dinter, L. Istomina, and J. P. Burrows. "Synergetic cloud fraction determination for SCIAMACHY using MERIS." Atmospheric Measurement Techniques Discussions 3, no. 4 (August 19, 2010): 3601–42. http://dx.doi.org/10.5194/amtd-3-3601-2010.

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Abstract. Since clouds play an essential role in the Earth's climate system, it is important to understand the cloud characteristics as well as their distribution on a global scale using satellite observations. The main scientific objective of SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) onboard the ENVISAT satellite is the retrieval of vertical columns of trace gases. On the one hand, SCIAMACHY has to be sensitive to low variations in trace gas concentrations which means the ground pixel size has to be large enough. On the other hand, such a large pixel size leads to the problem that SCIAMACHY spectra are often contaminated by clouds. SCIAMACHY spectral measurements are not well suitable to derive a reliable sub-pixel cloud fraction that can be used as input parameter for subsequent retrievals of cloud properties or vertical trace gas columns. Therefore, we use MERIS/ENVISAT spectral measurements with its high spatial resolution as sub-pixel information for the determination of MerIs Cloud fRation fOr Sciamachy (MICROS). Since MERIS covers an even broader swath width than SCIAMACHY, no problems in spatial and temporal collocation of measurements occur. This enables the derivation of a SCIAMACHY cloud fraction with an accuracy much higher as compared with other current cloud fractions that are based on SCIAMACHY's PMD (Polarization Measurement Device) data. We present our new developed MICROS algorithm, based on the threshold approach, as well as a qualitative validation of our results with MERIS satellite images for different locations, especially with respect to bright surfaces such as snow/ice and sands. In addition, the SCIAMACHY cloud fractions derived from MICROS are intercompared with other current SCIAMACHY cloud fractions based on different approaches demonstrating a considerable improvement regarding geometric cloud fraction determination using the MICROS algorithm.
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Schlundt, C., A. A. Kokhanovsky, W. von Hoyningen-Huene, T. Dinter, L. Istomina, and J. P. Burrows. "Synergetic cloud fraction determination for SCIAMACHY using MERIS." Atmospheric Measurement Techniques 4, no. 2 (February 22, 2011): 319–37. http://dx.doi.org/10.5194/amt-4-319-2011.

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Abstract. Since clouds play an essential role in the Earth's climate system, it is important to understand the cloud characteristics as well as their distribution on a global scale using satellite observations. The main scientific objective of SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) onboard the ENVISAT satellite is the retrieval of vertical columns of trace gases. On the one hand, SCIAMACHY has to be sensitive to low variations in trace gas concentrations which means the ground pixel size has to be large enough. On the other hand, such a large pixel size leads to the problem that SCIAMACHY spectra are often contaminated by clouds. SCIAMACHY spectral measurements are not well suitable to derive a reliable sub-pixel cloud fraction that can be used as input parameter for subsequent retrievals of cloud properties or vertical trace gas columns. Therefore, we use MERIS/ENVISAT spectral measurements with its high spatial resolution as sub-pixel information for the determination of MerIs Cloud fRation fOr Sciamachy (MICROS). Since MERIS covers an even broader swath width than SCIAMACHY, no problems in spatial and temporal collocation of measurements occur. This enables the derivation of a SCIAMACHY cloud fraction with an accuracy much higher as compared with other current cloud fractions that are based on SCIAMACHY's PMD (Polarization Measurement Device) data. We present our new developed MICROS algorithm, based on the threshold approach, as well as a qualitative validation of our results with MERIS satellite images for different locations, especially with respect to bright surfaces such as snow/ice and sands. In addition, the SCIAMACHY cloud fractions derived from MICROS are intercompared with other current SCIAMACHY cloud fractions based on different approaches demonstrating a considerable improvement regarding geometric cloud fraction determination using the MICROS algorithm.
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Noël, S., M. Buchwitz, and J. P. Burrows. "First retrieval of global water vapour column amounts from SCIAMACHY measurements." Atmospheric Chemistry and Physics Discussions 3, no. 6 (November 11, 2003): 5659–88. http://dx.doi.org/10.5194/acpd-3-5659-2003.

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Abstract. Global water vapour column amounts have been derived for the first time from measurements of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on the European environmental satellite ENVISAT. For this purpose, two different existing retrieval algorithms have been adapted, namely the Air Mass Corrected Differential Absorption Spectroscopy (AMC-DOAS) which was originally designed for GOME and the Weighting Function Modified Differential Absorption Spectroscopy (WFM-DOAS) which was mainly designed for the retrieval of CH4, CO2 and CO from SCIAMACHY near-infrared spectra. Here, both methods have been applied to SCIAMACHY's nadir measurements in the near-visible spectral region around 700 nm. The results of these two methods agree within a scatter of ±0.5 g/cm2 with corresponding SSM/I and ECMWF water vapour data. This deviation includes contributions from the temporal and spatial variability of water vapour. In fact, the mean deviation between the SCIAMACHY and the correlative data sets is much smaller: the SCIAMACHY total water vapour columns are typically about 0.2 g/cm2 lower than the SSM/I values and less than 0.1 g/cm2 lower than corresponding ECMWF data. The SCIAMACHY water vapour results agree well with correlative data not only over ocean but also over land, thus showing the capability of SCIAMACHY to derive water vapour concentrations on the global scale.
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Noël, S., M. Buchwitz, and J. P. Burrows. "First retrieval of global water vapour column amounts from SCIAMACHY measurements." Atmospheric Chemistry and Physics 4, no. 1 (January 27, 2004): 111–25. http://dx.doi.org/10.5194/acp-4-111-2004.

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Abstract. Global water vapour column amounts have been derived for the first time from measurements of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on the European environmental satellite ENVISAT. For this purpose, two different existing retrieval algorithms have been adapted, namely the Air Mass Corrected Differential Absorption Spectroscopy (AMC-DOAS) which was originally designed for GOME and the Weighting Function Modified Differential Absorption Spectroscopy (WFM-DOAS) which was mainly designed for the retrieval of CH4, CO2 and CO from SCIAMACHY near-infrared spectra. Here, both methods have been applied to SCIAMACHY's nadir measurements in the near-visible spectral region around 700 nm. Taking into account a systematic offset of 10%, the results of these two methods agree within a scatter of about ±0.5 g/cm2 with corresponding SSM/I and ECMWF water vapour data. This deviation includes contributions from the temporal and spatial variability of water vapour. In fact, the mean deviation between the SCIAMACHY and the correlative data sets is much smaller: the SCIAMACHY total water vapour columns are typically about 0.15 g/cm2 lower than the SSM/I values and less than 0.1 g/cm2 lower than corresponding ECMWF data. The SCIAMACHY water vapour results agree well with correlative data not only over ocean but also over land, thus showing the capability of SCIAMACHY to derive water vapour concentrations on the global scale.
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Krijger, J. M., P. Tol, L. G. Istomina, C. Schlundt, H. Schrijver, and I. Aben. "Improved identification of clouds and ice/snow covered surfaces in SCIAMACHY observations." Atmospheric Measurement Techniques Discussions 4, no. 1 (February 22, 2011): 1113–38. http://dx.doi.org/10.5194/amtd-4-1113-2011.

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Abstract. An improved version is presented of the SCIAMACHY PMD Identification of Clouds and Ice/snow method (SPICI). SPICI uses the SCIAMACHY measurements in the wavelength range between 450 nm and 1.6 μm to make a distinction between clouds and ice/snow covered surfaces, specifically developed to identify cloud-free SCIAMACHY observations. For this purpose the SCIAMACHY Polarisation Measurement Devices (PMDs) are used because they provide higher spatial resolution compared to the main spectrometer measurements. The improvements (compared to Krijger et al., 2005) include a snow over vegetation detection and correction for SCIAMACHY PMD degradation.
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Bramstedt, Klaus, Thomas C. Stone, Manfred Gottwald, Stefan Noël, Heinrich Bovensmann, and John P. Burrows. "Improved pointing information for SCIAMACHY from in-flight measurements of the viewing directions towards sun and moon." Atmospheric Measurement Techniques 10, no. 7 (July 5, 2017): 2413–23. http://dx.doi.org/10.5194/amt-10-2413-2017.

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Abstract. The SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on Envisat (2002–2012) performed nadir, limb, solar/lunar occultation and various monitoring measurements. The pointing information of the instrument is determined by the attitude information of the Envisat platform with its star trackers together with the encoder readouts of both the azimuth and the elevation scanner of SCIAMACHY. In this work, we present additional sources of attitude information from the SCIAMACHY measurements itself. The basic principle is the same as used by the star tracker: we measure the viewing direction towards celestial objects, i.e. sun and moon, to detect possible mispointings. In sun over limb port observations, we utilise the vertical scans over the solar disk. In horizontal direction, SCIAMACHY's sun follower device (SFD) is used to adjust the viewing direction. Moon over limb port measurements use for both the vertical and the horizontal direction the adjustment by the SFD. The viewing direction is steered towards the intensity centroid of the illuminated part of the lunar disk. We use reference images from the USGS Robotic Lunar Observatory (ROLO) to take into account the inhomogeneous surface and the variations by lunar libration and phase to parameterise the location of the intensity centroid from the observation geometry. Solar observations through SCIAMACHY's so-called sub-solar port (with a viewing direction closely to zenith) also use the SFD in the vertical direction. In the horizontal direction the geometry of the port defines the viewing direction. Using these three type of measurements, we fit improved mispointing parameters by minimising the pointing offsets in elevation and azimuth. The geolocation of all retrieved products will benefit from this; the tangent heights are especially improved. The altitudes assigned to SCIAMACHY's solar occultation measurements are changed in the range of −130 to −330 m, the lunar occultation measurements are changed in the range of 0 to +130 m and the limb measurements are changed in the range of −50 to +60 m (depending on season, altitude and azimuth angle). The horizontal location of the tangent point is changed by about 5 km for all measurements. These updates are implemented in version 9 of the SCIAMACHY Level 1b products and Level 2 version 7 (based on L1b version 9).
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Chehade, W., V. Gorshelev, A. Serdyuchenko, J. P. Burrows, and M. Weber. "Revised temperature dependent ozone absorption cross section spectra (Bogumil et al.) measured with the sciamachy satellite spectrometer." Atmospheric Measurement Techniques Discussions 6, no. 2 (March 8, 2013): 2449–81. http://dx.doi.org/10.5194/amtd-6-2449-2013.

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Abstract. Ozone absorption cross section spectra and other trace gases had been measured using the Scanning Imaging Absorption spectroMeter for Atmospheric ChartograpHY (SCIAMACHY) satellite instrument at relevant atmospheric conditions. The measured cross sections were relative cross sections and were converted to absolute values using published data. Using the SCIAMACHY's FM cross sections as published by Bogumil et al. (2003) in the SCIAMACHY retrievals of total ozone leads to an overestimation in the total ozone by 5% compared to collocated GOME data. This work presents the procedures followed to correct the ozone cross section data as published in Bogumil et al. (2003) starting from original raw data (optical density spectra) from the original measurements. The revised data agrees well within 3% with other published ozone cross-sections and preserves the correct temperature dependence in the Hartley, Huggins, Chappuis and Wolf bands. SCIAMACHY's total ozone columns retrieved using the revised cross section data are shown to be within 1% compared to the ozone amounts retrieved routinely from SCIAMACHY.
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de Laat, A. T. J., A. M. S. Gloudemans, H. Schrijver, I. Aben, Y. Nagahama, K. Suzuki, E. Mahieu, et al. "Validation of five years (2003–2007) of SCIAMACHY CO total column measurements using ground-based spectrometer observations." Atmospheric Measurement Techniques Discussions 3, no. 4 (July 9, 2010): 2891–930. http://dx.doi.org/10.5194/amtd-3-2891-2010.

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Abstract. This paper presents a validation study of SCIAMACHY CO total column measurements from the IMLM algorithm using ground-based spectrometer observations from twenty surface stations for the five year time period of 2003–2007. Overall we find a good agreement between SCIAMACHY and ground-based observations for both mean values as well as seasonal variations. For high-latitude Northern Hemisphere stations absolute differences between SCIAMACHY and ground-based measurements are close to or fall within the SCIAMACHY CO 2σ precision of 0.2×1018 molecules/cm2 (~10%) indicating that SCIAMACHY can observe CO accurately at high Northern Hemisphere latitudes. For Northern Hemisphere mid-latitude stations the validation is complicated due to the vicinity of emission sources for almost all stations, leading to higher ground-based measurements compared to SCIAMACHY CO within its typical sampling area of 8×8°. Comparisons with Northern Hemisphere mountain stations are hampered by elevation effects. After accounting for these effects, the validation provides satisfactory results. At Southern Hemisphere mid- to high latitudes SCIAMACHY is systematically lower than the ground-based measurements for 2003 and 2004, but for 2005 and later years the differences between SCIAMACHY and ground-based measurements fall within the SCIAMACHY precision. The 2003–2004 bias is consistent with a previously reported Southern Hemisphere bias based on comparisons with MOPITT CO and is currently under investigation. No other systematic spatial or temporal biases could be identified based on the validation presented in this paper. Validation results are robust with regard to the choices of the instrument-noise error filter, sampling area, and time averaging required for the validation of SCIAMACHY CO total column measurements. Finally, our results show that the spatial coverage of the ground-based measurements available for the validation of the 2003–2007 SCIAMACHY CO columns is sub-optimal for validation purposes, and that the recent and ongoing expansion of the ground-based network by carefully selecting new locations may be very beneficial for SCIAMACHY CO and other satellite trace gas measurements validation efforts.
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de Laat, A. T. J., A. M. S. Gloudemans, H. Schrijver, I. Aben, Y. Nagahama, K. Suzuki, E. Mahieu, et al. "Validation of five years (2003–2007) of SCIAMACHY CO total column measurements using ground-based spectrometer observations." Atmospheric Measurement Techniques 3, no. 5 (October 20, 2010): 1457–71. http://dx.doi.org/10.5194/amt-3-1457-2010.

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Abstract. This paper presents a validation study of SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) carbon monoxide (CO) total column measurements from the Iterative Maximum Likelihood Method (IMLM) algorithm using ground-based spectrometer observations from twenty surface stations for the five year time period of 2003–2007. Overall we find a good agreement between SCIAMACHY and ground-based observations for both mean values as well as seasonal variations. For high-latitude Northern Hemisphere stations absolute differences between SCIAMACHY and ground-based measurements are close to or fall within the SCIAMACHY CO 2σ precision of 0.2 × 1018 molecules/cm2 (∼10%) indicating that SCIAMACHY can observe CO accurately at high Northern Hemisphere latitudes. For Northern Hemisphere mid-latitude stations the validation is complicated due to the vicinity of emission sources for almost all stations, leading to higher ground-based measurements compared to SCIAMACHY CO within its typical sampling area of 8° × 8°. Comparisons with Northern Hemisphere mountain stations are hampered by elevation effects. After accounting for these effects, the validation provides satisfactory results. At Southern Hemisphere mid- to high latitudes SCIAMACHY is systematically lower than the ground-based measurements for 2003 and 2004, but for 2005 and later years the differences between SCIAMACHY and ground-based measurements fall within the SCIAMACHY precision. The 2003–2004 bias is consistent with previously reported results although its origin remains under investigation. No other systematic spatial or temporal biases could be identified based on the validation presented in this paper. Validation results are robust with regard to the choices of the instrument-noise error filter, sampling area, and time averaging required for the validation of SCIAMACHY CO total column measurements. Finally, our results show that the spatial coverage of the ground-based measurements available for the validation of the 2003–2007 SCIAMACHY CO columns is sub-optimal for validation purposes, and that the recent and ongoing expansion of the ground-based network by carefully selecting new locations may be very beneficial for SCIAMACHY CO and other satellite trace gas measurements validation efforts.
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Krijger, J. M., I. Aben, and H. Schrijver. "Distinction between clouds and ice/snow covered surfaces in the identification of cloud-free observations using SCIAMACHY PMDs." Atmospheric Chemistry and Physics Discussions 5, no. 1 (February 14, 2005): 815–45. http://dx.doi.org/10.5194/acpd-5-815-2005.

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Abstract. SCIAMACHY on ENVISAT allows measurement of different trace gases including those most abundant in the troposphere (e.g. CO2, NO2, CH4). However, clouds in the observed scenes can severely hinder the observation of tropospheric gases. Several cloud detection algorithms have been developed for GOME on ERS-2 which can be applied to SCIAMACHY. The GOME cloud algorithms, however, suffer from the inadequacy of not being able to distinguish between clouds and ice/snow covered surfaces because GOME only covers the UV, VIS and part of the NIR wavelength range (240–790 nm). As a result these areas are always flagged as clouded, and therefore often not used. Here a method is presented which uses the SCIAMACHY measurements in the wavelength range between 450 nm and 1.6 µm to make a distinction between clouds and ice/snow covered surfaces. The algorithm is developed using collocated MODIS observations. The algorithm presented here is specifically developed to identify cloud-free SCIAMACHY observations. The SCIAMACHY Polarisation Measurement Devices (PMDs) are used for this purpose because they provide higher spatial resolution compared to the main spectrometer measurements.
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Dissertations / Theses on the topic "SCIAMACHY measurements"

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Afe, Oluyemi Temitayo. "Retrieval and observations of atmospheric BrO from SCIAMACHY nadir Measurements." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=979702038.

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Dörner, Steffen [Verfasser]. "Stratospheric aerosol extinction retrieved from SCIAMACHY measurements in limb geometry / Steffen Dörner." Mainz : Universitätsbibliothek Mainz, 2015. http://d-nb.info/1076370551/34.

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SELLITTO, PASQUALE. "Neural networks algorithms for the estimation of atmospheric ozone from Envisat-SCIAMACHY and Aura-OMI measurements." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/819.

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Climate changes and atmospheric pollution are currently topical issues given their possible dramatic effects from the health, social and economical points of view. Assessing the causes and possible adaptation/mitigation strategies is a challenge in modern science. To understand and quantify the anthropic role in such changes is of a particular interest to depict future scenarios and to warn politicians about local and global intervention in emissions control. Ozone is one of the most important trace gases in the Earth's atmosphere. It is mainly present in the stratosphere, with only 10% in the troposphere. Despite its small amount, (2-7) 10ô 3 % in molar fraction, the solar radiation at wavelengths below 310 nm does not reach the Earth surface because of the large absorption cross sections characterizing ozone molecules at those wavelengths. Variations in the stratospheric ozone content may play a dramatic role in a possible increase of the surface UV radiation. The discovery of the Antarctic ozone hole, i.e. a considerable reduction of ozone in the polar stratosphere, was a dramatic evidence of the effects of anthropogenic emissions on the ozone layer. Human activity is likely responsible also for tropospheric ozone enhancements caused by the photochemistry associated to industrial emissions involving ozone precursors as the nitrogen dioxide. The effect of these variations at lower altitudes, with respect to background values, have been estimated to be the third largest source of the greenhouse effect. To support interpretation of the atmospheric phenomena, as well as interactions with the oceans and the ground, a constant and systematic monitoring of several atmospheric parameters, and with a good spatial coverage, is crucial. In this framework, global and systematic space-based observations of the atmospheric composition and its variations in time and space play a major role. Satellite measurements of atmospheric parameters has a proven and recognized effectiveness for such tasks. The advantage of atmospheric sounding performed from space, with respect to ground based techniques, lies in the very high number of available measurements per day and in the global coverage of the Earth, allowing for a detailed and continuous investigation of the atmospheric state. A number of different techniques are available, using different instruments, bands and viewing geometries. For all of them, a major problem is related to the intrinsically indirect nature of the measurements, as they result from the interaction between the electromagnetic radiation and the atmospheric constituents. The retrieval phase requires the solution of an inverse problem, which is never trivial and can be computationally very intensive, especially for this kind of nonlinear problems. A significant concurrent requirement is an adequate spatial resolution. Horizontal resolution is very hard to achieve by limb measurements, while it can be attained by nadir observations. Nadir measurements, however, can have poor vertical resolutions, and the inversion problem can be particularly computationally expensive. In this thesis we present novel approaches to the inversion of the nadir UV/VIS satellite Earth's radiance spectra for the retrieval of height resolved ozone information. The considered platforms are ESA EnviSat-SCIAMACHY and NASA-Aura OMI, which are particularly suited for these tasks owing to their combined high spectral and spatial resolutions. Both ozone concentration profiles and tropospheric ozone column are retrieved by means of NNs algorithms. NNs are made of interconnected elementary processing units, called neurons, and can learn from a training dataset; they were proven to be robust on systematic errors and calibration uncertainties on the input measurements vector, and they are likely to work better than OE with respect to cloudy scenarios or in presence of significant aerosols burdens. Once a net is trained it can perform retrievals in real-time.
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Zhu, Yajun [Verfasser]. "Atomic oxygen derived from SCIAMACHY O(1S) and OH airglow measurements in the Mesopause region / Yajun Zhu." Wuppertal : Universitätsbibliothek Wuppertal, 2016. http://d-nb.info/1120340357/34.

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Lelli, Luca [Verfasser], John P. [Akademischer Betreuer] Burrows, and Justus [Akademischer Betreuer] Notholt. "Studies of global cloud field using measurements of GOME, SCIAMACHY and GOME-2 / Luca Lelli. Gutachter: John P. Burrows ; Justus Notholt. Betreuer: John P. Burrows." Bremen : Staats- und Universitätsbibliothek Bremen, 2013. http://d-nb.info/1072078279/34.

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Azam, Faiza [Verfasser], Klaus [Akademischer Betreuer] Bramstedt, John P. [Akademischer Betreuer] Burrows, and Otto [Akademischer Betreuer] Schrems. "Retrieval, Validations and Interpretation of Stratospheric Water Vapor Distributions from SCIAMACHY Lunar Occultation Measurements / Faiza Azam. Gutachter: John P. Burrows ; Otto Schrems. Betreuer: Klaus Bramstedt." Bremen : Staats- und Universitätsbibliothek Bremen, 2012. http://d-nb.info/1072077701/34.

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Hilboll, Andreas [Verfasser], Andreas [Akademischer Betreuer] Richter, John P. [Akademischer Betreuer] Burrows, and Thomas [Akademischer Betreuer] Wagner. "Tropospheric nitrogen dioxide from satellite measurements: SCIAMACHY limb/nadir matching and multi-instrument trend analysis / Andreas Hilboll. Gutachter: John P. Burrows ; Thomas Wagner. Betreuer: Andreas Richter." Bremen : Staats- und Universitätsbibliothek Bremen, 2014. http://d-nb.info/1072157438/34.

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Gebhardt, Claus [Verfasser], John P. [Akademischer Betreuer] Burrows, and Otto [Akademischer Betreuer] Schrems. "Linear changes/trends in stratospheric O3 and BrO as seen by SCIAMACHY limb measurements during the decade 2002-2012 / Claus Gebhardt. Gutachter: John P. Burrows ; Otto Schrems. Betreuer: John P. Burrows." Bremen : Staats- und Universitätsbibliothek Bremen, 2014. http://d-nb.info/1072226197/34.

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Afe, Oluyemi Temitayo [Verfasser]. "Retrieval and observations of atmospheric BrO from SCIAMACHY nadir Measurements / by Oluyemi Temitayo Afe." 2005. http://d-nb.info/979702038/34.

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Meyer, Jérôme [Verfasser]. "Solar occultation measurements with SCIAMACHY in the UV-visible-IR wavelength region / vorgelegt von Jérôme Meyer." 2004. http://d-nb.info/980288401/34.

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Book chapters on the topic "SCIAMACHY measurements"

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Amekudzi, L. K., K. Bramstedt, A. Rozanov, H. Bovensmann, and J. P. Burrows. "Retrieval of Trace Gas Concentrations from Lunar Occultation Measurements with SCIAMACHY on ENVISAT." In New Horizons in Occultation Research, 87–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00321-9_8.

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Conference papers on the topic "SCIAMACHY measurements"

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Jingmei, Yang. "Validation of aerosol profiles from SCIAMACHY limb scatter measurements." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730494.

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Schrijver, Hans, Albert P. H. Goede, Marcel R. Dobber, and Michael Buchwitz. "Retrieval of carbon monoxide, methane, and nitrous oxide from SCIAMACHY measurements." In Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space. SPIE, 1998. http://dx.doi.org/10.1117/12.317749.

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Goede, A. P. H., R. W. M. Hoogeveen, R. J. van der A, and J. de Vries. "Performance Calculations and Test of SCIAMACHY Detector Modules." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.fa.2.

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SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY) has been selected by ESA to fly on the first ENVISAT mission (1998). The Instrument Requirements originate from the Max Planck Institut für Chemie in Mainz under principal investigator J.P. Burrows /1/. The instrument comprises an imaging spectrometer operating in the wavelength range of 240-2385 nm, at a resolution of ~0.2 nm. Measurements will be performed in the nadir mode, in the limb mode and in the sun/moon occultation mode.
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Wang, Tianxing, Jiancheng Shi, and Yingying Jing. "A method for physically fusing XCO2 measurements retrieved from SCIAMACHY and GOSAT." In IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2013. http://dx.doi.org/10.1109/igarss.2013.6723546.

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Addabbo, P., M. di Bisceglie, C. Galdi, and S. L. Ullo. "The hyperspectral unmixing of nitrogen dioxide from the ESA-SCIAMACHY Nadir measurements." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326687.

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Wang, Chao, Runhe Shi, Cong Zhou, Chaoshun Liu, and Wei Gao. "Comparison of SCIAMACHY and AIRS CO 2 measurements over China from 2003 to 2005." In SPIE Optical Engineering + Applications, edited by Wei Gao, Thomas J. Jackson, Jinnian Wang, and Ni-Bin Chang. SPIE, 2011. http://dx.doi.org/10.1117/12.893153.

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Jing, Yingying, Jiancheng Shi, and Tianxing Wang. "Toward accurate XCO2 level 2 measurements by combining different CO2 retrievals from gosat and sciamachy." In 2014 3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA). IEEE, 2014. http://dx.doi.org/10.1109/eorsa.2014.6927857.

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Yingying Jing, Jiancheng Shi, and Tianxing Wang. "Mapping global land XCO2 from measurements of GOSAT and SCIAMACHY by using kriging interpolation method." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947112.

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9

Wang, Tianxing, Jiancheng Shi, and Yingying Jing. "Evaluation and intercomparison of the atmospheric CO2 retrievals from measurements of AIRS, IASI, SCIAMACHY and GOSAT." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351293.

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10

Spurr, R. J. D., and K. Chance. "BIAS: an algorithm for the retrieval of trace gas vertical columns from near-infrared earthshine measurements by the SCIAMACHY spectrometer." In IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174). IEEE, 1998. http://dx.doi.org/10.1109/igarss.1998.702300.

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