An Overview of the Visible and Infrared Scanner Radiometric Calibration Algorithm

Barnes, Robert A.; Barnes, William; Lyu, Cheng-Hsuan; Gales, Joel

doi:10.1175/1520-0426(2000)017<0395:aootva>2.0.co;2

Cited by 31 publications

(25 citation statements)

References 8 publications

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“…Moreover, the sensor degrades with time, implying that operational updates of the calibration coefficient are required for reliable satellite measurements. Onboard calibrators, such as the solar diffuser, can be used for operational calibration (e.g., Barnes et al, 2000;Sakuma et al, 2005;, but satellites are not often equipped with these due to power, weight, and space restrictions (Kriebel and Amann, 1993). To compensate for the limitations of the onboard calibration system, vicarious methods are required to monitor sensor capability.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1R

Ham

Sohn

2010

Atmos. Chem. Phys.

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and MTSAT-1R visible channel reflectances. In the simulation, cloud three-dimensional (3-D) radiative effect associated with subgrid variations is taken into account using the lognormal-independent column approximation (LN-ICA) to minimize the simulation bias caused by the plane-parallel homogeneous assumption. Third, an independent method uses the typical optical properties of deep convective clouds (DCCs) to simulate reflectances of selected DCC targets.Although all three methods are not in perfect agreement, the results suggest that calibration coefficients of Meteosat-8/9 0.640-µm channels are underestimated by 6-7%. On the other hand, the calibration accuracy of MTSAT-1R visible channel appears to be variable with the target reflectance itself because of an underestimate of calibration coefficient (up to 20%) and a non-zero space offset. The results further suggest that the solar channel calibration scheme combining the Correspondence to: B. J. Sohn (sohn@snu.ac.kr) three methods in this paper can be used as a tool to monitor the calibration performance of visible sensors that are particularly not equipped with an onboard calibration system.

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Section: Introductionmentioning

confidence: 99%

Assessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1R

Ham

Sohn

2010

Atmos. Chem. Phys.

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“…Examples include the Along-Track Scanning Radiometer (ATSR) on board the European Remote Sensing Satellite-1 (ERS-1) and -2 and the Environmental Satellite (ENVISAT ), the Visible Infrared Scanner (VIRS) on the Tropical Rainfall Measuring Mission (TRMM) spacecraft (Barnes et al 2000), the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua spacecrafts (Barnes et al 1998), and the Global Imager (GLI) on Midori-II [Advanced Earth Observing Satellite-II (ADEOS-II); Nakajima et al 1998]. On geosynchronous platforms, 3.9-m channels are available on the new Geostationary Operational Environmental Satellite (GOES) Imager and the Meteosat Second-Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI; Aminou 2002).…”

Section: Introductionmentioning

confidence: 99%

Model Calculations of Solar Spectral Irradiance in the 3.7-μm Band for Earth Remote Sensing Applications

Platnick

Fontenla

2008

Journal of Applied Meteorology and Climatology

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Since the launch of the first Advanced Very High Resolution Radiometer (AVHRR) instrument aboard the Television and Infrared Observational Satellite (TIROS-N), measurements in the 3.7-m atmospheric window have been exploited for use in cloud detection and screening, cloud thermodynamic phase and surface snow/ice discrimination, and quantitative cloud particle size retrievals. The utility of the band has led to the incorporation of similar channels on a number of existing satellite imagers and future operational imagers. Daytime observations in the band include both reflected solar and thermal emission energy. Since 3.7-m channels are calibrated to a radiance scale (via onboard blackbodies), knowledge of the top-ofatmosphere solar irradiance in the spectral region is required to infer reflectance. Despite the ubiquity of 3.7-m channels, absolute solar spectral irradiance data come from either a single measurement campaign (Thekaekara et al.) or synthetic spectra. In the current study, the historical 3.7-m band spectral irradiance datasets are compared with the recent semiempirical solar model of the quiet sun by Fontenla et al. The model has expected uncertainties of about 2% in the 3.7-m spectral region. The channel-averaged spectral irradiances using the observations reported by Thekaekara et al. are found to be 3.2%-4.1% greater than those derived from the Fontenla et al. model for Moderate Resolution Imaging Spectroradiometer (MO-DIS) and AVHRR instrument bandpasses; the Kurucz spectrum, as included in the Moderate Spectral Resolution Atmospheric Transmittance (MODTRAN4) distribution, gives channel-averaged irradiances 1.2%-1.5% smaller than the Fontenla model. For the MODIS instrument, these solar irradiance uncertainties result in cloud microphysical retrieval uncertainties that are comparable to other fundamental reflectance error sources.

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“…Figure 7 displays the Brightness Temperature (BT) at 10.8 mm as simulated by the Meso-NH model (Fig. 7b) and as observed by the VIRS sensor onboard the TRMM satellite (Barnes et al, 2000) (Fig. 7a).…”

Section: Tagged Simulation At Mesoscalementioning

confidence: 99%

An upper tropospheric ‘ozone river’ from Africa to India during the 2008 Asian post-monsoon season

Tocquer

Barret

Mari

et al. 2015

Tellus B: Chemical and Physical Meteorology

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A B S T R A C TWe have used ozone data from the Infrared Atmospheric Sounding Interferometer to follow an event of ozoneenriched air-masses in the upper troposphere from eastern Africa to northern India. The ozone transport (hereafter called 'ozone river' or O3R) occurred during the Asian post-monsoon season in 2008 and was associated with Rossby wave propagation. The persistence of the O3R in a narrow channel was confirmed by MOZAIC airborne data over the northwestern Indian coast. The regions of origin of the O3R were identified by a transport analysis based on the Lagrangian model FLEXPART. The Lagrangian simulations combined with potential vorticity fields indicate that stratospheric intrusions are not likely to be the most important contributor to the observed O 3 enhancements. A high-resolution Eulerian model, Meso-NH, with tagged tracers was used to discriminate between African biomass burning, lightnings and Indian anthropogenic pollution as potential sources of precursors for the O3R. Lightning NOx emissions, associated with convective clouds over Africa, were found to be the principal contributor to the ozone enhancement over the Indian Ocean taking advantage of a northeastward jet. This case study illustrates African lightning emissions as an important source for enhanced O 3 in the upper troposphere over the Indian Ocean region during the post-monsoon season.

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An Overview of the Visible and Infrared Scanner Radiometric Calibration Algorithm

Cited by 31 publications

References 8 publications

Assessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1R

Assessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1R

Model Calculations of Solar Spectral Irradiance in the 3.7-μm Band for Earth Remote Sensing Applications

An upper tropospheric ‘ozone river’ from Africa to India during the 2008 Asian post-monsoon season

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