Operational calibration of Geostationary Operational Environmental Satellite-8 and -9 imagers and sounders

Weinreb, Michael P.; Jamieson, Michael; Fulton, Nancy; Chen, Yen; Johnson, Joy Xie; Bremer, James; Smith, Carl E; Baucom, Jeanette

doi:10.1364/ao.36.006895

Cited by 113 publications

(78 citation statements)

References 6 publications

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“…A full description of the dataset and the cloud retrieval algorithm can be found in an earlier publications (14,20,21). The sounding data used for the retrieval of atmospheric instability conditions come from the Rondonian Boundary Layer Experiment (RBLE-3) as part of the Anglo-Brazilian Amazonian Climate Observation Study (ABRACOS) (22) during 13-26 August 1994.…”

Section: Datamentioning

confidence: 99%

Impact of deforestation in the Amazon basin on cloud climatology

Wang

Chagnon

Williams

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

157

129

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Shallow clouds are prone to appear over deforested surfaces whereas deep clouds, much less frequent than shallow clouds, favor forested surfaces. Simultaneous atmospheric soundings at forest and pasture sites during the Rondonian Boundary Layer Experiment (RBLE-3) elucidate the physical mechanisms responsible for the observed correlation between clouds and land cover. We demonstrate that the atmospheric boundary layer over the forested areas is more unstable and characterized by larger values of the convective available potential energy (CAPE) due to greater humidity than that which is found over the deforested area. The shallow convection over the deforested areas is relatively more active than the deep convection over the forested areas. This greater activity results from a stronger lifting mechanism caused by mesoscale circulations driven by deforestation-induced heterogeneities in land cover.climate ͉ land-cover heterogeneity ͉ mesoscale circulations

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Section: Datamentioning

confidence: 99%

Impact of deforestation in the Amazon basin on cloud climatology

Wang

Chagnon

Williams

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

157

129

View full text Add to dashboard Cite

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“…Weinreb et al described in detail the operational calibration algorithm based on GOES-8 and GOES-9 on orbit observations [28]. This algorithm is being followed to date on all sensors in the series.…”

Section: Goes Teb Radiometric Calibrationmentioning

confidence: 99%

“…where R is the radiance from the scene, X is the signal output for each band, q, m, and b are the coefficients [28]. The radiance R for a band and detector is the average of spectral radiance over the spectral response function as shown in Section 1 for the calculation of band average.…”

Section: Goes Teb Radiometric Calibrationmentioning

confidence: 99%

“…The parameter R M is the radiance of the scan mirror that can be computed from its monitored temperature using Planck's law and the spectral response function of the band. Weinreb et al developed an algorithm to derive pθq using the laboratory data on all bands for the emissivity of witness samples of the scan mirror at 45˝, p45q that corresponds to the viewing angle at the center of the east-west scan [28]. It is implemented through special data collection of the instrument's output during east-west scans of space across the entire east-west field of regard above and below the earth and is described in detail in Reference [28].…”

Section: Goes Teb Radiometric Calibrationmentioning

confidence: 99%

“…Weinreb et al developed an algorithm to derive pθq using the laboratory data on all bands for the emissivity of witness samples of the scan mirror at 45˝, p45q that corresponds to the viewing angle at the center of the east-west scan [28]. It is implemented through special data collection of the instrument's output during east-west scans of space across the entire east-west field of regard above and below the earth and is described in detail in Reference [28]. Knowing pθq, Equation (49) can be solved for m and b using the two point calibration of blackbody-look and space-look instrument output, X bb and X sp respectively as given below.…”

Section: Goes Teb Radiometric Calibrationmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors

et al. 2016

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Abstract:The radiometric calibration equations for the thermal emissive bands (TEB) and the reflective solar bands (RSB) measurements of the earth scenes by the polar satellite sensors, (Terra and Aqua) MODIS and Suomi NPP (VIIRS), and geostationary sensors, GOES Imager and the GOES-R Advanced Baseline Imager (ABI) are analyzed towards calibration algorithm harmonization on the basis of SI traceability which is one of the goals of the NOAA National Calibration Center (NCC). One of the overarching goals of NCC is to provide knowledge base on the NOAA operational satellite sensors and recommend best practices for achieving SI traceability for the radiance measurements on-orbit. As such, the calibration methodologies of these satellite optical sensors are reviewed in light of the recommended practice for radiometric calibration at the National Institute of Standards and Technology (NIST). The equivalence of some of the spectral bands in these sensors for their end products is presented. The operational and calibration features of the sensors for on-orbit observation of radiance are also compared in tabular form. This review is also to serve as a quick cross reference to researchers and analysts on how the observed signals from these sensors in space are converted to radiances.

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Impact of all‐sky water vapour channel radiance from INSAT‐3D/3DR satellite over South Asia region using WRF model

Kumar

Shukla

Varma

2022

Quart J Royal Meteoro Soc

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The objective of this study is to explore and present a methodology to assimilate all-sky water vapour (WV) radiance from Indian geostationary satellites in the Weather Research and Forecasting (WRF) model. For all-sky assimilation, hydrometeors are considered as control variables by adding in background error covariance. Additionally, this study uses the application of Global Satellite based Inter-Calibration System (GSICS) based bias correction mechanism on WV radiances before their assimilation. To fulfil these objectives, three sets of experiments have been performed with and without WV radiance assimilation for the month of July 2018 over the South Asia region. The impact assessment of assimilation has been performed by comparing radiative transfer (RT) model-simulated analysed and predicted brightness temperature against independent satellite observations from SAPHIR (Sondeur Atmosphérique du Profil d'Humidité Intertropicale par Radiométrie) and MHS (Microwave Humidity Sounder) sensors. Results not only show the number of assimilated observations increased significantly (∼250%) in all-sky assimilation compared to clear-sky assimilation but also present that the all-sky analyses are closer to actual satellite observations. Due to the multivariate nature of variational data assimilation, noteworthy changes are also noticed in hydrometeors analyses in all-sky assimilation. The short-range forecasts confirm the positive impact of all-sky assimilation as compared to clear-sky assimilation when verified against SAPHIR and MHS measurements.

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Operational calibration of Geostationary Operational Environmental Satellite-8 and -9 imagers and sounders

Cited by 113 publications

References 6 publications

Impact of deforestation in the Amazon basin on cloud climatology

Impact of deforestation in the Amazon basin on cloud climatology

Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors

Impact of all‐sky water vapour channel radiance from INSAT‐3D/3DR satellite over South Asia region using WRF model

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