GSICS Inter-Calibration of Infrared Channels of Geostationary Imagers Using Metop/IASI

Hewison, Tim J.; Wu, Xiangqian; Yu, Fangfang; Tahara, Yoshihiko; Hu, Xiuqing; Kim, Dohyeong; Koenig, Marianne

doi:10.1109/tgrs.2013.2238544

Cited by 122 publications

(110 citation statements)

References 21 publications

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“…The seasonal fluctuations in the 3.8 µm channel differences are much more pronounced, reaching~+0.4K around the vernal equinox and somewhat smaller at the autumnal equinox; around the solstices the differences are close to zero [65]. MTSAT-2 is a three-axis stabilized satellite and there is evidence of larger errors about local midnight when the entrance aperture of the imager faces to the sun, and stray solar radiation appears to degrade the calibration of the MTSAT-2 infrared channels [66].…”

Section: Discussionmentioning

confidence: 89%

“…The reference sensors are the hyperspectral Infrared Atmospheric Sounding Interferometers (IASI) on the European polar-orbiting MetOp satellites [64]. The high resolution spectral measurements of IASI are convolved with the relative spectral response functions of the channels on the satellites on the geostationary satellites to allow comparison between the measurements [65]. Inaccuracies in the calibration of the infrared measurements on both MTSAT-2 and Himawari-8 radiometers could lead to bias errors in the satellite-data as errors in the brightness temperatures propagate through the atmospheric correction algorithms.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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The Accuracies of Himawari-8 and MTSAT-2 Sea-Surface Temperatures in the Tropical Western Pacific Ocean

et al. 2018

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Over several decades, improving the accuracy of Sea-Surface Temperatures (SSTs) derived from satellites has been a subject of intense research, and continues to be so. Knowledge of the accuracy of the SSTs is critical for weather and climate predictions, and many research and operational applications. In 2015, the operational Japanese MTSAT-2 geostationary satellite was replaced by the Himawari-8, which has a visible and infrared imager with higher spatial and temporal resolutions than its predecessor. In this study, data from both satellites during a three-month overlap period were compared with subsurface in situ temperature measurements from the Tropical Atmosphere Ocean (TAO) array and self-recording thermometers at the depths of corals of the Great Barrier Reef. Results show that in general the Himawari-8 provides more accurate SST measurements compared to those from MTSAT-2. At various locations, where in situ measurements were taken, the mean Himawari-8 SST error shows an improvement of~0.15 K. Sources of the differences between the satellite-derived SST and the in situ temperatures were related to wind speed and diurnal heating.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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The Accuracies of Himawari-8 and MTSAT-2 Sea-Surface Temperatures in the Tropical Western Pacific Ocean

et al. 2018

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“…Over the land, on the other hand, AHI TB shows negative bias with respect to the simulated RAOB TB for all channels. Introducing the method suggested by Hewison et al [16] to estimate the relationship between radiances from two different instruments (Equation (3)), two sets of fitting coefficients are obtained from the comparison results and applied to AHI radiance to remove, if any, systematic bias…”

Section: Satellite Measurementsmentioning

confidence: 99%

Atmospheric Profile Retrieval Algorithm for Next Generation Geostationary Satellite of Korea and Its Application to the Advanced Himawari Imager

2017

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Abstract:In preparation for the 2nd geostationary multi-purpose satellite of Korea with a 16-channel Advanced Meteorological Imager; an algorithm has been developed to retrieve clear-sky vertical profiles of temperature (T) and humidity (Q) based on a nonlinear optimal estimation method. The performance and characteristics of the algorithm have been evaluated using the measured data of the Advanced Himawari Imager (AHI) on board the Himawari-8 of Japan, launched in 2014. Constraints for the optimal estimation solution are provided by the forecasted T and Q profiles from a global numerical weather prediction model and their error covariance. Although the information contents for temperature is quite low due to the limited number of channels used in the retrieval; the study reveals that useful moisture information (2~3 degrees of freedom for signal) is provided from the three water vapor channels; contributing to the increase in the moisture retrieval accuracy upon the model forecast. The improvements are consistent throughout the tropospheric atmosphere with almost zero mean bias and 9% (relative humidity) of root mean square error between 100 and 1000 hPa when compared with the quality-controlled radiosonde data from 2016 August.

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“…In order to reduce the uncertainty caused by impacts of atmospheric component variations and target surface BRDF, both instruments should view the geo-spatially collocated targets at similar viewing geometries within a short time interval. The following criteria are used to identify the collocated pairs without the match of viewing azimuth angles, similar to the collocation criteria applied to the GEO-LEO IR inter-calibration by the Global Satellite Inter-Calibration System (GSICS) community for the GEO-LEO IR inter-calibration [14,15].…”

Section: Geo-leo Collocationsmentioning

confidence: 99%

Radiometric Inter-Calibration between Himawari-8 AHI and S-NPP VIIRS for the Solar Reflective Bands

2016

Remote Sensing

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Abstract:The Advanced Himawari Imager (AHI) on-board Himawari-8, which was launched on 7 October 2014, is the first geostationary instrument housed with a solar diffuser to provide accurate onboard calibrated data for the visible and near-infrared (VNIR) bands. In this study, the Ray-matching and collocated Deep Convective Cloud (DCC) methods, both of which are based on incidently collocated homogeneous pairs between AHI and Suomi NPP (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS), are used to evaluate the calibration difference between these two instruments. While the Ray-matching method is used to examine the reflectance difference over the all-sky collocations with similar viewing and illumination geometries, the near lambertian collocated DCC pxiels are used to examine the difference for the median or high reflectance scenes. Strong linear relationships between AHI and VIIRS can be found at all the paired AHI and VIIRS bands. Results of both methods indicate that AHI radiometric calibration accuracy agrees well with VIIRS data within 5% for B1-4 and B6 at mid and high reflectance scenes, while AHI B5 is generally brighter than VIIRS by~6%-8%. No apparent East-West viewing angle dependent calibration difference can be found at all the VNIR bands. Compared to the Ray-matching method, the collocated DCC method provides less uncertainty of inter-calibration results at near-infrared (NIR) bands. As AHI has similar optics and calibration designs to the GOES-R Advanced Baseline Imager (ABI), which is currently scheduled to launch in fall 2016, the on-orbit AHI data provides a unique opportunity to develop, test and examine the cal/val tools developed for ABI.

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GSICS Inter-Calibration of Infrared Channels of Geostationary Imagers Using Metop/IASI

Cited by 122 publications

References 21 publications

The Accuracies of Himawari-8 and MTSAT-2 Sea-Surface Temperatures in the Tropical Western Pacific Ocean

The Accuracies of Himawari-8 and MTSAT-2 Sea-Surface Temperatures in the Tropical Western Pacific Ocean

Atmospheric Profile Retrieval Algorithm for Next Generation Geostationary Satellite of Korea and Its Application to the Advanced Himawari Imager

Radiometric Inter-Calibration between Himawari-8 AHI and S-NPP VIIRS for the Solar Reflective Bands

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