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1

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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Kokhanovsky, A. A., W. von Hoyningen-Huene, V. V. Rozanov, et al. "The semianalytical cloud retrieval algorithm for SCIAMACHY II. The application to MERIS and SCIAMACHY data." Atmospheric Chemistry and Physics 6, no. 12 (2006): 4129–36. http://dx.doi.org/10.5194/acp-6-4129-2006.

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Abstract. The SemiAnalytical CloUd Retrieval Algorithm (SACURA) is applied to the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) data. In particular, we derive simultaneously cloud optical thickness (COT) and cloud top height (CTH), using SCIAMACHY measurements in the visible (442 nm, COT) and in the oxygen A-band (755–775 nm, CTH). Some of the results obtained are compared with those derived from the Medium Resolution Imaging Spectrometer (MERIS), which has better spatial resolution and observes almost the same scene as SCIAMACHY. The same cloud algorithm is
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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 5, no. 10 (2005): 2729–38. http://dx.doi.org/10.5194/acp-5-2729-2005.

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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, BrO, SO2). 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 resu
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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 4, no. 10 (2011): 2213–24. http://dx.doi.org/10.5194/amt-4-2213-2011.

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Abstract. In the ultra-violet, visible and near infra-red wavelength range the presence of clouds can strongly affect the satellite-based passive remote sensing observation of constituents in the troposphere, because clouds effectively shield the lower part of the atmosphere. Therefore, cloud detection algorithms are of crucial importance in satellite remote sensing. However, the detection of clouds over snow/ice surfaces is particularly difficult in the visible wavelengths as both clouds an snow/ice are both white and highly reflective. The SCIAMACHY Polarisation Measurement Devices (PMD) Ide
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Wang, P., P. Stammes, and R. Mueller. "Surface solar irradiance from SCIAMACHY measurements: algorithm and validation." Atmospheric Measurement Techniques 4, no. 5 (2011): 875–91. http://dx.doi.org/10.5194/amt-4-875-2011.

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Abstract. Broadband surface solar irradiances (SSI) are, for the first time, derived from SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY) satellite measurements. The retrieval algorithm, called FRESCO (Fast REtrieval Scheme for Clouds from the Oxygen A band) SSI, is similar to the Heliosat method. In contrast to the standard Heliosat method, the cloud index is replaced by the effective cloud fraction derived from the FRESCO cloud algorithm. The MAGIC (Mesoscale Atmospheric Global Irradiance Code) algorithm is used to calculate clear-sky SSI. The SCIAMACHY SSI p
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Hilbig, Tina, Klaus Bramstedt, Mark Weber, John P. Burrows, and Matthijs Krijger. "Optimised degradation correction for SCIAMACHY satellite solar measurements from 330 to 1600 nm by using the internal white light source." Atmospheric Measurement Techniques 13, no. 7 (2020): 3893–907. http://dx.doi.org/10.5194/amt-13-3893-2020.

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Abstract. SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) on-board the European Environmental Satellite (Envisat) provided spectrally resolved measurements in the wavelength range from 0.24 to 2.4 µm by looking into the Earth's atmosphere using different viewing geometries (limb, nadir, solar, and lunar occultation). These observations were used to derive a multitude of parameters, in particular atmospheric trace gas amounts. In addition to radiance measurements solar spectral irradiances (SSIs) were measured on a daily basis. The instrument was operating for
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Wang, P., P. Stammes, and R. Mueller. "Surface solar irradiance from SCIAMACHY measurements: algorithm and validation." Atmospheric Measurement Techniques Discussions 4, no. 1 (2011): 873–912. http://dx.doi.org/10.5194/amtd-4-873-2011.

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Abstract. Broadband surface solar irradiances (SSI) are, for the first time, derived from SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY) satellite measurements. The retrieval algorithm, called FRESCO (Fast REtrieval Scheme for Clouds from Oxygen A band) SSI, is similar to the Heliosat method. In contrast to the standard Heliosat method, the cloud index is replaced by the effective cloud fraction derived from the FRESCO cloud algorithm. The MAGIC (Mesoscale Atmospheric Global Irradiance Code) algorithm is used to calculate clear-sky SSI. The SCIAMACHY SSI produ
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Hilboll, A., A. Richter, A. Rozanov, et al. "Retrieval of tropospheric NO<sub>2</sub> columns from SCIAMACHY combining measurements from limb and nadir geometries." Atmospheric Measurement Techniques Discussions 5, no. 4 (2012): 5043–105. http://dx.doi.org/10.5194/amtd-5-5043-2012.

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Abstract. Satellite measurements of atmospheric trace gases have proved to be an invaluable tool for monitoring the Earth system. When these measurements are to be used for assessing tropospheric emissions and pollution, as for example in the case of nadir measurements of nitrogen dioxide (NO2), it is necessary to separate the stratospheric from the tropospheric signal. The SCIAMACHY instrument offers the unique opportunity to combine its measurements in limb and nadir viewing geometries into a tropospheric data product, using the limb measurements of the stratospheric NO2 abundances to correc
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Borsdorff, T., P. Tol, J. E. Williams, et al. "Carbon monoxide total columns from SCIAMACHY 2.3 µm atmospheric reflectance measurements: towards a full-mission data product (2003–2012)." Atmospheric Measurement Techniques 9, no. 1 (2016): 227–48. http://dx.doi.org/10.5194/amt-9-227-2016.

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Abstract. We present a full-mission data product of carbon monoxide (CO) vertical column densities using the 2310–2338 nm SCIAMACHY reflectance measurements over clear-sky land scenes for the period January 2003–April 2012. The retrieval employs the SICOR algorithm, which will be used for operational data processing of the Sentinel-5 Precursor mission. The retrieval approach infers simultaneously carbon monoxide, methane and water vapour column densities together with a Lambertian surface albedo from individual SCIAMACHY measurements employing a non-scattering radiative transfer model. To acco
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Borsdorff, T., P. Tol, J. E. Williams та ін. "Carbon monoxide total columns from SCIAMACHY 2.3 μm atmospheric reflectance measurements: towards a full-mission data product (2003–2012)". Atmospheric Measurement Techniques Discussions 8, № 9 (2015): 9731–83. http://dx.doi.org/10.5194/amtd-8-9731-2015.

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Abstract. We present a full-mission data product of carbon monoxide (CO) vertical column densities using the 2310–2338 nm SCIAMACHY reflectance measurements over clear sky land scenes for the period January 2003–April 2012. The retrieval employs the SICOR algorithm, which will be used for operational data processing of the Sentinel-5 Precursor mission, combined with a SCIAMACHY specific radiometric soft-calibration to mitigate instrumental issues. The retrieval approach infers simultaneously carbon monoxide, methane and water vapour column densities together with a Lambertian surface albedo fr
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Ovigneur, B., J. Landgraf, and I. Aben. "Retrieval of stratospheric aerosol density profiles from SCIAMACHY limb radiance measurements in the O<sub>2</sub> A-band." Atmospheric Measurement Techniques Discussions 4, no. 2 (2011): 1795–823. http://dx.doi.org/10.5194/amtd-4-1795-2011.

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Abstract. In this paper we present an approach to retrieve stratospheric aerosol number densities in the altitude range 10–40 km from SCIAMACHY limb radiance measurements in the spectral range of the O2 A absorption band, near 760 nm. Here, the characteristic light paths differ for the measured light in the O2 A band and in the spectral continuum next to the absorption band. This difference is used to distinguish the effect of stratospheric aerosol scattering and ground reflection on the limb measurement. The capability to disentangle both effects is illustrated for SCIAMACHY limb observations
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Ovigneur, B., J. Landgraf, R. Snel, and I. Aben. "Retrieval of stratospheric aerosol density profiles from SCIAMACHY limb radiance measurements in the O<sub>2</sub> A-band." Atmospheric Measurement Techniques 4, no. 11 (2011): 2359–73. http://dx.doi.org/10.5194/amt-4-2359-2011.

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Abstract. In this paper we present an approach to retrieve stratospheric aerosol number densities in the altitude range 10–40 km from SCIAMACHY limb radiance measurements in the spectral range of the O2 A absorption band, near 760 nm. Here, the characteristic light paths differ for the measured light in the O2 A-band and in the spectral continuum next to the absorption band. This difference is used to distinguish the effect of stratospheric aerosol scattering and ground reflection on the limb measurement. The capability to disentangle both effects is illustrated for SCIAMACHY limb observations
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Azam, F., K. Bramstedt, A. Rozanov, et al. "SCIAMACHY lunar occultation water vapor measurements: retrieval and validation results." Atmospheric Measurement Techniques 5, no. 10 (2012): 2499–513. http://dx.doi.org/10.5194/amt-5-2499-2012.

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Abstract. SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) lunar occultation measurements have been used to derive vertical profiles of stratospheric water vapor for the Southern Hemisphere in the near infrared (NIR) spectral range of 1350–1420 nm. The focus of this study is to present the retrieval methodology including the sensitivity studies and optimizations for the implementation of the radiative transfer model on SCIAMACHY lunar occultation measurements. The study also includes the validation of the data product with the collocated measurements from two s
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Houweling, S., W. Hartmann, I. Aben, et al. "Evidence of systematic errors in SCIAMACHY-observed CO<sub>2</sub> due to aerosols." Atmospheric Chemistry and Physics Discussions 5, no. 3 (2005): 3313–40. http://dx.doi.org/10.5194/acpd-5-3313-2005.

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Abstract. SCIAMACHY CO2 measurements show a large variability in total column CO2 over the Sahara desert of up to 10% that is not anticipated from in situ measurements and cannot be explained by results of atmospheric models. Comparisons with colocated aerosol measurements by TOMS and MISR over the Sahara indicate that the seasonal variation of SCIAMACHY-observed CO2 strongly resembles seasonal variations of windblown dust. Correlation coefficients of monthly datasets of colocated MISR aerosol optical depth and SCIAMACHY CO2 vary between 0.6 and 0.8, indicating that about half of the CO2 varia
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Barkley, M. P., P. S. Monks, A. J. Hewitt, et al. "Assessing the near surface sensitivity of SCIAMACHY atmospheric CO<sub>2</sub> retrieved using (FSI) WFM-DOAS." Atmospheric Chemistry and Physics Discussions 7, no. 1 (2007): 2477–530. http://dx.doi.org/10.5194/acpd-7-2477-2007.

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Abstract. Satellite observations of atmospheric CO2 offer the potential to identify regional carbon surface sources and sinks and to investigate carbon cycle processes. The extent to which satellite measurements are useful however, depends on the near surface sensitivity of the chosen sensor. In this paper, the capability of the SCIAMACHY instrument on board ENVISAT, to observe lower tropospheric and surface CO2 variability is examined. To achieve this, atmospheric CO2 retrieved from SCIAMACHY near infrared (NIR) spectral measurements, using the Full Spectral Initiation (FSI) WFM-DOAS algorith
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Barkley, M. P., P. S. Monks, A. J. Hewitt, et al. "Assessing the near surface sensitivity of SCIAMACHY atmospheric CO<sub>2</sub> retrieved using (FSI) WFM-DOAS." Atmospheric Chemistry and Physics 7, no. 13 (2007): 3597–619. http://dx.doi.org/10.5194/acp-7-3597-2007.

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Abstract. Satellite observations of atmospheric CO2 offer the potential to identify regional carbon surface sources and sinks and to investigate carbon cycle processes. The extent to which satellite measurements are useful however, depends on the near surface sensitivity of the chosen sensor. In this paper, the capability of the SCIAMACHY instrument on board ENVISAT, to observe lower tropospheric and surface CO2 variability is examined. To achieve this, atmospheric CO2 retrieved from SCIAMACHY near infrared (NIR) spectral measurements, using the Full Spectral Initiation (FSI) WFM-DOAS algorith
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du Piesanie, A., A. J. M. Piters, I. Aben, H. Schrijver, P. Wang, and S. Noël. "Validation of two independent retrievals of SCIAMACHY water vapour columns using radiosonde data." Atmospheric Measurement Techniques Discussions 6, no. 1 (2013): 665–702. http://dx.doi.org/10.5194/amtd-6-665-2013.

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Abstract. Two independently derived SCIAMACHY total water vapour column (WVC) products are compared with integrated water vapour data calculated from radiosonde measurements, and with each other. The two SCIAMACHY WVC products are retrieved with two different retrieval algorithms applied in the visible and short wave infrared wavelength regions respectively. The first SCIAMACHY WVC product used in the comparison is ESA's level 2 version 5.01 WVC product derived with the Air Mass Corrected Differential Absorption Spectroscopy (AMC-DOAS) retrieval algorithm (SCIAMACHY-ESA). The second SCIAMACHY
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Bracher, A., M. Sinnhuber, A. Rozanov, and J. P. Burrows. "Using a photochemical model for the validation of NO<sub>2</sub> satellite measurements at different solar zenith angles." Atmospheric Chemistry and Physics 5, no. 2 (2005): 393–408. http://dx.doi.org/10.5194/acp-5-393-2005.

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Abstract. SCIAMACHY (Scanning Imaging Spectrometer for Atmospheric Chartography) aboard the recently launched Environmental Satellite (ENVISAT) of ESA is measuring solar radiance upwelling from the atmosphere and the extraterrestrial irradiance. Appropriate inversion of the ultraviolet and visible radiance measurements, observed from the atmospheric limb, yields profiles of nitrogen dioxide, NO2, in the stratosphere (SCIAMACHY-IUP NO2 profiles V1). In order to assess their accuracy, the resulting NO2 profiles have been compared with those retrieved from the space borne occultation instruments
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de Laat, A. T. J., R. Dijkstra, H. Schrijver, P. Nédélec, and I. Aben. "Validation of six years of SCIAMACHY carbon monoxide observations using MOZAIC CO profile measurements." Atmospheric Measurement Techniques Discussions 5, no. 1 (2012): 1985–2010. http://dx.doi.org/10.5194/amtd-5-1985-2012.

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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 vertically integrated profile aircraft measurements obtained within the MOZAIC project for the six year time period of 2003–2008. Overall we find a good agreement between SCIAMACHY and airborne measurements for both mean values – also on a year-to-year basis – as well as seasonal variations. Several locations show large biases that are attributed to
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Houweling, S., W. Hartmann, I. Aben, et al. "Evidence of systematic errors in SCIAMACHY-observed CO<sub>2</sub> due to aerosols." Atmospheric Chemistry and Physics 5, no. 11 (2005): 3003–13. http://dx.doi.org/10.5194/acp-5-3003-2005.

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Abstract. SCIAMACHY CO2 measurements show a large variability in total column CO2 over the Sahara desert of up to 10%, which is not anticipated from in situ measurements and cannot be explained by results of atmospheric models. Comparisons with colocated aerosol measurements by TOMS and MISR over the Sahara indicate that the seasonal variation of SCIAMACHY-observed CO2 strongly resembles seasonal variations of windblown dust. Correlation coefficients of monthly datasets of colocated MISR aerosol optical depth and SCIAMACHY CO2 vary between 0.6 and 0.8, indicating that about half of the CO2 var
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de Laat, A. T. J., R. Dijkstra, H. Schrijver, P. Nédélec, and I. Aben. "Validation of six years of SCIAMACHY carbon monoxide observations using MOZAIC CO profile measurements." Atmospheric Measurement Techniques 5, no. 9 (2012): 2133–42. http://dx.doi.org/10.5194/amt-5-2133-2012.

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Abstract. This paper presents a validation study of SCanning Imaging Absorption SpectroMeter for Atmospheric CartograpHY (SCIAMACHY) carbon monoxide (CO) total column measurements from the Iterative Maximum Likelihood Method (IMLM) algorithm using vertically integrated profile aircraft measurements obtained within the MOZAIC project for the six year time period of 2003–2008. Overall we find a good agreement between SCIAMACHY and airborne measurements for both mean values – also on a year-to-year basis – as well as seasonal variations. Several locations show large biases that are attributed to
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Azam, F., K. Bramstedt, A. Rozanov, et al. "SCIAMACHY lunar occultation water vapor measurements: retrieval and validation results." Atmospheric Measurement Techniques Discussions 5, no. 1 (2012): 1029–73. http://dx.doi.org/10.5194/amtd-5-1029-2012.

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Abstract. SCIAMACHY lunar occultation measurements have been used to derive vertical profiles of stratospheric water vapor for the Southern Hemisphere in the near infrared (NIR) spectral range of 1350–1420 nm. The focus of this study is to present the retrieval methodology including the sensitivity studies and optimizations for the implementation of the radiative transfer model on SCIAMACHY lunar occultation measurements. The study also includes the validation of the data product with the collocated measurements from two satellite occultation instruments and two instruments measuring in limb g
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32

van Diedenhoven, B., O. P. Hasekamp, and I. Aben. "Surface pressure retrieval from SCIAMACHY measurements in the O<sub>2</sub>A Band: validation of the measurements and sensitivity on aerosols." Atmospheric Chemistry and Physics Discussions 5, no. 2 (2005): 1469–99. http://dx.doi.org/10.5194/acpd-5-1469-2005.

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Abstract. We perform surface pressure retrievals from cloud-free Oxygen A band measurements of SCIAMACHY. These retrievals can be well validated because surface pressure is a quantity that is, in general, accurately known from meteorological models. Therefore, surface 5 pressure retrievals and their validation provide important insight into the quality of the instrument calibration. Furthermore, they can provide insight into retrievals which are affected by similar radiation transport processes, for example the retrieval of total columns of H2O, CO, CO2 and CH4. In our retrieval aerosols are n
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du Piesanie, A., A. J. M. Piters, I. Aben, H. Schrijver, P. Wang, and S. Noël. "Validation of two independent retrievals of SCIAMACHY water vapour columns using radiosonde data." Atmospheric Measurement Techniques 6, no. 10 (2013): 2925–40. http://dx.doi.org/10.5194/amt-6-2925-2013.

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Abstract. Two independently derived SCIAMACHY total water vapour column (WVC) products are compared with integrated water vapour data calculated from radiosonde measurements, and with each other. The two SCIAMACHY WVC products are retrieved with two different retrieval algorithms applied in the visible and short-wave infrared wavelength regions respectively. The first SCIAMACHY WVC product used in the comparison is ESA's level 2 version 5.01 WVC product derived with the Air Mass Corrected Differential Optical Absorption Spectroscopy (AMC-DOAS) retrieval algorithm applied in the visible wavelen
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von Savigny, C., C. E. Robert, G. Baumgarten, H. Bovensmann, and J. P. Burrows. "Comparison of NLC particle sizes derived from SCIAMACHY/Envisat observations with ground-based LIDAR measurements at ALOMAR (69° N)." Atmospheric Measurement Techniques Discussions 2, no. 2 (2009): 1161–84. http://dx.doi.org/10.5194/amtd-2-1161-2009.

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Abstract. SCIAMACHY, the Scanning Imaging Absorption spectroMeter for Atmospheric CHartographY provides measurements of limb-scattered solar radiation in the 220 nm to 2380 nm wavelength range since summer 2002. Measurements in the UV spectral range are well suited for the retrieval of particle sizes of noctilucent clouds (NLCs) and have been used to compile the largest existing satellite data base of NLC particle sizes. This paper presents a comparison of SCIAMACHY NLC size retrievals with the extensive NLC particle size data set based on ground-based LIDAR measurements at the Arctic LIDAR Ob
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von Savigny, C., C. E. Robert, G. Baumgarten, H. Bovensmann, and J. P. Burrows. "Comparison of NLC particle sizes derived from SCIAMACHY/Envisat observations with ground-based LIDAR measurements at ALOMAR (69° N)." Atmospheric Measurement Techniques 2, no. 2 (2009): 523–31. http://dx.doi.org/10.5194/amt-2-523-2009.

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Abstract. SCIAMACHY, the Scanning Imaging Absorption spectroMeter for Atmospheric CHartographY has provided measurements of limb-scattered solar radiation in the 220 nm to 2380 nm wavelength range since summer of 2002. Measurements in the UV spectral range are well suited for the retrieval of particle sizes of noctilucent clouds (NLCs) and have been used to compile the largest existing satellite data base of NLC particle sizes. This paper presents a comparison of SCIAMACHY NLC size retrievals with the extensive NLC particle size data set based on ground-based LIDAR measurements at the Arctic L
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36

Noël, S., K. Bramstedt, A. Rozanov, H. Bovensmann, and J. P. Burrows. "Stratospheric methane profiles from SCIAMACHY solar occultation measurements derived with onion peeling DOAS." Atmospheric Measurement Techniques Discussions 4, no. 4 (2011): 4801–23. http://dx.doi.org/10.5194/amtd-4-4801-2011.

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Abstract. Stratospheric methane (CH4) profiles have been derived from solar occultation measurements of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on ENVISAT with an updated version of the Onion Peeling DOAS (ONPD) method. The SCIAMACHY solar occultation measurements cover the latitudinal range between about 50° N and 70° N. Currently, reasonable results are obtained between 20 and 40 km altitude. Comparisons with correlative ACE-FTS measurements show an average agreement within the expected accuracy of the ACE-FTS data of about 10 %. To demonstrate t
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Noël, S., K. Bramstedt, A. Rozanov, H. Bovensmann, and J. P. Burrows. "Stratospheric methane profiles from SCIAMACHY solar occultation measurements derived with onion peeling DOAS." Atmospheric Measurement Techniques 4, no. 11 (2011): 2567–77. http://dx.doi.org/10.5194/amt-4-2567-2011.

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Abstract. Stratospheric methane (CH4) profiles have been derived from solar occultation measurements of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on ENVISAT with an updated version of the Onion Peeling DOAS (ONPD) method. The SCIAMACHY solar occultation measurements cover the latitudinal range between about 50° N and 70° N. Currently, reasonable results are obtained between 20 and 40 km altitude. Comparisons with correlative ACE-FTS measurements show an average agreement within the expected accuracy of the ACE-FTS data of about 10%. To demonstrate th
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38

Gebhardt, C., A. Rozanov, R. Hommel, et al. "Stratospheric ozone trends and variability as seen by SCIAMACHY from 2002 to 2012." Atmospheric Chemistry and Physics 14, no. 2 (2014): 831–46. http://dx.doi.org/10.5194/acp-14-831-2014.

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Abstract. Vertical profiles of the rate of linear change (trend) in the altitude range 15–50 km are determined from decadal O3 time series obtained from SCIAMACHY1/ENVISAT2 measurements in limb-viewing geometry. The trends are calculated by using a multivariate linear regression. Seasonal variations, the quasi-biennial oscillation, signatures of the solar cycle and the El Niño–Southern Oscillation are accounted for in the regression. The time range of trend calculation is August 2002–April 2012. A focus for analysis are the zonal bands of 20° N–20° S (tropics), 60–50° N, and 50–60° S (midlatit
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Lerot, C., M. Van Roozendael, J. van Geffen, et al. "Six years of total ozone column measurements from SCIAMACHY nadir observations." Atmospheric Measurement Techniques Discussions 1, no. 1 (2008): 249–79. http://dx.doi.org/10.5194/amtd-1-249-2008.

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Abstract. Total O3 columns have been retrieved from six years of SCIAMACHY nadir UV radiance measurements using SDOAS, an adaptation of the GDOAS algorithm previously developed at BIRA-IASB for the GOME instrument. GDOAS and SDOAS have been implemented by the German Aerospace Center (DLR) in the version 4 of the GOME Data Processor (GDP) and in version 3 of the SCIAMACHY Ground Processor (SGP), respectively. The processors are being run at the DLR processing centre on behalf of the European Space Agency (ESA). We first focus on the description of the SDOAS algorithm with particular attention t
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Lerot, C., M. Van Roozendael, J. van Geffen, et al. "Six years of total ozone column measurements from SCIAMACHY nadir observations." Atmospheric Measurement Techniques 2, no. 1 (2009): 87–98. http://dx.doi.org/10.5194/amt-2-87-2009.

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Abstract. Total O3 columns have been retrieved from six years of SCIAMACHY nadir UV radiance measurements using SDOAS, an adaptation of the GDOAS algorithm previously developed at BIRA-IASB for the GOME instrument. GDOAS and SDOAS have been implemented by the German Aerospace Center (DLR) in the version 4 of the GOME Data Processor (GDP) and in version 3 of the SCIAMACHY Ground Processor (SGP), respectively. The processors are being run at the DLR processing centre on behalf of the European Space Agency (ESA). We first focus on the description of the SDOAS algorithm with particular attention t
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41

Hilboll, A., A. Richter, A. Rozanov, et al. "Improvements to the retrieval of tropospheric NO<sub>2</sub> from satellite – stratospheric correction using SCIAMACHY limb/nadir matching and comparison to Oslo CTM2 simulations." Atmospheric Measurement Techniques 6, no. 3 (2013): 565–84. http://dx.doi.org/10.5194/amt-6-565-2013.

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Abstract. Satellite measurements of atmospheric trace gases have proved to be an invaluable tool for monitoring the Earth system. When these measurements are to be used for assessing tropospheric emissions and pollution, as for example in the case of nadir measurements of nitrogen dioxide (NO2), it is necessary to separate the stratospheric from the tropospheric signal. The SCIAMACHY instrument offers the unique opportunity to combine its measurements in limb- and nadir-viewing geometries into a tropospheric data product, using the limb measurements of the stratospheric NO2 abundances to corre
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42

Palm, M., C. v. Savigny, T. Warneke, et al. "Intercomparison of O<sub>3</sub> profiles observed by SCIAMACHY, ground based microwave and FTIR instruments." Atmospheric Chemistry and Physics Discussions 5, no. 1 (2005): 911–36. http://dx.doi.org/10.5194/acpd-5-911-2005.

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Abstract. Ozone profiles retrieved from limb scattering measurements of the SCIAMACHY instrument based on the satellite ENVISAT are compared to ground based low altitude resolution remote sensors. All profiles are retrieved using optimal estimation. Following the work of 5 Rodgers and Connor (2003) the retrievals of the ground based instruments are simulated using the SCIAMACHY retrieval. The SCIAMACHY results and the results of the ground based microwave radiometer in Bremen and Ny Alesund agree within the expected covariance of the intercomparison. There are not enough coincident measurement
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43

van Diedenhoven, B., O. P. Hasekamp, and I. Aben. "Surface pressure retrieval from SCIAMACHY measurements in the O<sub>2</sub> A Band: validation of the measurements and sensitivity on aerosols." Atmospheric Chemistry and Physics 5, no. 8 (2005): 2109–20. http://dx.doi.org/10.5194/acp-5-2109-2005.

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Abstract. We perform surface pressure retrievals from cloud-free Oxygen A band measurements of SCIAMACHY. These retrievals can be well validated because surface pressure is a quantity that is, in general, accurately known from meteorological models. Therefore, surface pressure retrievals and their validation provide important insight into the quality of the instrument calibration. Furthermore, they can provide insight into retrievals which are affected by similar radiation transport processes, for example the retrieval of total columns of H2O, CO, CO2 and CH4. In our retrieval aerosols are neg
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44

Borsdorff, Tobias, Joost aan de Brugh, Haili Hu, Philippe Nédélec, Ilse Aben, and Jochen Landgraf. "Carbon monoxide column retrieval for clear-sky and cloudy atmospheres: a full-mission data set from SCIAMACHY 2.3 µm reflectance measurements." Atmospheric Measurement Techniques 10, no. 5 (2017): 1769–82. http://dx.doi.org/10.5194/amt-10-1769-2017.

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Abstract. We discuss the retrieval of carbon monoxide (CO) vertical column densities from clear-sky and cloud contaminated 2311–2338 nm reflectance spectra measured by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) from January 2003 until the end of the mission in April 2012. These data were processed with the Shortwave Infrared CO Retrieval algorithm (SICOR) that we developed for the operational data processing of the Tropospheric Monitoring Instrument (TROPOMI) that will be launched on ESA's Sentinel-5 Precursor (S5P) mission. This study complements pre
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Langowski, M., C. von Savigny, J. P. Burrows, et al. "Global investigation of the Mg atom and ion layers using SCIAMACHY/Envisat observations between 70 km and 150 km altitude and WACCM-Mg model results." Atmospheric Chemistry and Physics Discussions 14, no. 2 (2014): 1971–2019. http://dx.doi.org/10.5194/acpd-14-1971-2014.

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Abstract. Mg and Mg+ concentration fields in the upper mesosphere/lower thermosphere (UMLT) region are retrieved from SCIAMACHY/Envisat limb measurements of Mg and Mg+ dayglow emissions using a 2-D tomographic retrieval approach. The time series of monthly means of Mg and Mg+ for number density as well as vertical column density in different latitudinal regions are shown. Data from the limb mesosphere-thermosphere mode of SCIAMACHY/Envisat are used, which covers the 50 km to 150 km altitude region with a vertical sampling of 3.3 km and a highest latitude of 82°. The high latitudes are not cove
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Bracher, A., M. Sinnhuber, A. Rozanov, and J. P. Burrows. "Using photochemical models for the validation of NO<sub>2</sub> satellite measurements at different solar zenith angles." Atmospheric Chemistry and Physics Discussions 4, no. 5 (2004): 5515–48. http://dx.doi.org/10.5194/acpd-4-5515-2004.

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Abstract. SCIAMACHY (Scanning Imaging Spectrometer for Atmospheric Chartography) aboard the recently launched Environmental Satellite (ENVISAT) of ESA is measuring solar radiance upwelling from the atmosphere and the extraterrestrial irradiance. Appropriate inversion of the ultraviolet and visible radiance measurements, observed from the atmospheric limb, yields profiles of nitrogen dioxide, NO2, in the stratosphere. In order to assess their accuracy, the resulting NO2 profiles have been compared with those retrieved from the space borne occultation instruments Halogen Occultation Experiment (
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47

Noël, S., M. Buchwitz, H. Bovensmann, and J. P. Burrows. "Validation of SCIAMACHY AMC-DOAS water vapour columns." Atmospheric Chemistry and Physics Discussions 5, no. 2 (2005): 1925–42. http://dx.doi.org/10.5194/acpd-5-1925-2005.

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Abstract. A first validation of water vapour total column amounts derived from measurements of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) in the visible spectral region has been performed. For this purpose, SCIAMACHY water vapour data have been determined for the year 2003 using an extended version of the Differential Optical Absorption Spectroscopy (DOAS) method, called Air Mass Corrected (AMC-DOAS). The SCIAMACHY results are compared with corresponding water vapour measurements by the Special Sensor Microwave Imager (SSM/I) and with model data from
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Noël, S., M. Buchwitz, H. Bovensmann, and J. P. Burrows. "Validation of SCIAMACHY AMC-DOAS water vapour columns." Atmospheric Chemistry and Physics 5, no. 7 (2005): 1835–41. http://dx.doi.org/10.5194/acp-5-1835-2005.

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Abstract. A first validation of water vapour total column amounts derived from measurements of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) in the visible spectral region has been performed. For this purpose, SCIAMACHY water vapour data have been determined for the year 2003 using an extended version of the Differential Optical Absorption Spectroscopy (DOAS) method, called Air Mass Corrected (AMC-DOAS). The SCIAMACHY results are compared with corresponding water vapour measurements by the Special Sensor Microwave Imager (SSM/I) and with model data from
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Houweling, S., M. Krol, P. Bergamaschi, et al. "A multi-year methane inversion using SCIAMACHY, accounting for systematic errors using TCCON measurements." Atmospheric Chemistry and Physics 14, no. 8 (2014): 3991–4012. http://dx.doi.org/10.5194/acp-14-3991-2014.

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Abstract. This study investigates the use of total column CH4 (XCH4) retrievals from the SCIAMACHY satellite instrument for quantifying large-scale emissions of methane. A unique data set from SCIAMACHY is available spanning almost a decade of measurements, covering a period when the global CH4 growth rate showed a marked transition from stable to increasing mixing ratios. The TM5 4DVAR inverse modelling system has been used to infer CH4 emissions from a combination of satellite and surface measurements for the period 2003–2010. In contrast to earlier inverse modelling studies, the SCIAMACHY r
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Noël, Stefan, Klaus Bramstedt, Alexei Rozanov, Elizaveta Malinina, Heinrich Bovensmann, and John P. Burrows. "Stratospheric aerosol extinction profiles from SCIAMACHY solar occultation." Atmospheric Measurement Techniques 13, no. 10 (2020): 5643–66. http://dx.doi.org/10.5194/amt-13-5643-2020.

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Abstract. The Scanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) instrument on Envisat provided, between August 2002 and April 2012, measurements of solar and Earthshine spectra from the UV to the shortwave infrared spectral region in multiple viewing geometries. We present a new approach to derive stratospheric aerosol extinction profiles from SCIAMACHY solar occultation measurements based on an onion-peeling method similar to the onion-peeling differential optical absorption spectroscopy (DOAS) retrieval, which has already been successfully used for the derivat
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