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Littérature scientifique sur le sujet « SCIAMACHY measurements »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "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 (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 si

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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 (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 si

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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 (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 ne

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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 (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 ne

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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 (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 vegetatio

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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 (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: w

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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 (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 foll

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de Laat, A. T. J., A. M. S. Gloudemans, H. Schrijver, 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 (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

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de Laat, A. T. J., A. M. S. Gloudemans, H. Schrijver, 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 (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 me

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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 (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 a

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Thèses sur le sujet "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%

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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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Chapitres de livres sur le sujet "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. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00321-9_8.

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Actes de conférences sur le sujet "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. 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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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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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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