Satellite Determinations of the Relationship between Total Longwave Radiation Flux and Infrared Window Radiance

Ohring, George; Gruber, Arnold; Ellingson, Robert G.

doi:10.1175/1520-0450(1984)023<0416:sdotrb>2.0.co;2

Cited by 77 publications

(46 citation statements)

References 9 publications

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Section: Citationmentioning

confidence: 99%

“…The spectrums of the VIRR are listed in Table 1. Traditionally the brightness temperature of the AVHRR Channel 5 has been adopted to calculate the outgoing longwave radiation flux (OLR) at the outer extremes of the atmosphere through the equation [1]:B5 . In the NOAA National Environmental Satellite, Data, and Information Service (NESDIS), the equation has been used to produce OLR data for more than 30 years.…”

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Estimating the outgoing longwave radiation from the FY-3B satellite visible infrared radiometer Channel 5 radiance observations

Yan

2011

Chin. Sci. Bull.

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Based on the infrared radiation transfer model, the outgoing longwave radiation (OLR) and Channel 5 radiance of Fengyun-3B (FY-3B) satellite visible infrared radiometer (VIRR) were simulated for 3812 global soundings. Using regression analysis of the simulations, an inverse model, which connected the flux equivalent brightness temperature with the channel brightness temperature, was derived. By applying the model to the FY-3B VIRR L1 data, the global OLR data at the time of the passing of the FY-3B were processed. The quality of the data was validated by comparing it with that of the NOAA-18 satellite's advanced very high resolution radiometer (AVHRR). The validation results show root mean square errors in the range 10-13 W/M 2 when comparing the daily average OLR of the VIRR with that of the NOAA-18 AVHRR, and the correlation coefficients were in the range 0.97-0.98. The larger RMSE is mainly due to the different passing times of the two satellites for the specific locations on the Earth. An example of the OLR data and its preliminary applications are given. OLR, infrared radiation transfer, inverse model, regression analysis, validation Citation:Wu X, Yan J J. Estimating the outgoing longwave radiation from the FY-3B satellite visible infrared radiometer Channel 5 radiance observations. Chinese Sci Bull, 2011Bull, , 56: 34803485, doi: 10.1007 The visible infrared radiometer (VIRR) on board the Fengyun-3B (FY-3B) polar orbiting meteorological satellite is an instrument similar to the National Oceanic and Atmospheric Administration (NOAA) satellite's advanced very high resolution radiometer (AVHRR). It has 10 channels to observe the shortwave and longwave radiations reflected and emitted by the Earth's atmospheric system. The split window, Channels 4 and 5, of the VIRR, are similar to that of the AVHRR. The spectrums of the VIRR are listed in Table 1. Traditionally the brightness temperature of the AVHRR Channel 5 has been adopted to calculate the outgoing longwave radiation flux (OLR) at the outer extremes of the atmosphere through the equation [1]:B5 . In the NOAA National Environmental Satellite, Data, and Information Service (NESDIS), the equation has been used to produce OLR data for more than 30 years. OLR data have been widely studied by scientists in climate models, predictions and diagnoses. In November 2010, China successfully launched the FY-3B polar orbiting meteorological satellite and the satellite ground application system began its operation in February 2011. Subsequently, data from the FY-3B [2] have been archived and distributed on the web. The OLR data are some of the data available. Developing the OLR inverse model of VIRRThe development of the OLR inverse model for the VIRR was based on infrared radiation transfer simulations [3][4][5] for a large number of atmospheric soundings and regression analysis. First, the OLR and Channel 5 radiance of VIRR were simulated for each sounding profile. Then a regression equation was derived by statistically analyzing the simulated results. Figure 1 sho...

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Section: Citationmentioning

confidence: 99%

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confidence: 99%

Estimating the outgoing longwave radiation from the FY-3B satellite visible infrared radiometer Channel 5 radiance observations

Yan

2011

Chin. Sci. Bull.

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“…where a and b are coefficients determined from a regression analysis of either observations (Ohring et al 1984) or theoretical calculations (Ellingson and Ferraro 1983). The OLR flux is related as…”

Section: Olr and Cloud Typementioning

confidence: 99%

Radiative Effects of Various Cloud Types as Classified by the Split Window Technique over the Eastern Sub-tropical Pacific Derived from Collocated ERBE and AVHRR Data.

Inoue¹,

Ackerman

2002

Journal of the Meteorological Society of Japan

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The radiative effects of several cloud types as classified by the split window (11 and 12 mm) technique were studied using coincident and collocated Earth Radiation Budget Experiment (ERBE) S-8 data and Advanced Very High Resolution Radiometer (AVHRR) data from NOAA-9. The parameter investigated was cloud radiative forcing (CRF), the difference between clear and cloudy shortwave flux (SW) and longwave flux (OLR) at the top of the atmosphere. In computing the CRF, the accuracy of clear SW and OLR is essential. Clear scene IDs in the ERBE dataset were evaluated using coincident and collocated AVHRR image data. The mean visible reflectance and SW for clear footprints defined by the ERBE are reasonably small and are 3.2% and 89.0 Wm À2 , respectively. However, the values computed using our technique are smaller, 2.7% and 83.9 Wm À2 , respectively. The use of collocated AVHRR image data improves clear footprint definition and implies that care should be taken when computing CRF from ERBE data alone.The CRF from several cloud types classified by the split window were compared. Cumulonimbus clouds show the largest impact on top of the atmosphere radiation for both SW and OLR. Cirrus and lowlevel cumulus clouds have similar effects on OLR, but large differences between them are seen for SW. The impact of low-level cumulus clouds on SW is much larger than that of cirrus clouds. Some optically thin cirrus clouds show positive cloud radiative forcing (warming effect).The relationships between OLR and cloud types (including cloud-free) as classified by the split window technique were investigated. By using brightness temperature differences between the split window channels, OLR estimation is improved for cloud-free and low-level cumulus clouds when compared with OLR estimated by the National Oceanic and Atmospheric Administration (NOAA) operational algorithm.

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“…Liebmann and Smith [1] developed a daily OLR product in 1996, based on the NOAA National Environmental Satellite, Data, and Information Service (NESDIS) operational OLR product [2], that used the Advanced Very High Resolution Radiometer (AVHRR) sensor on the NOAA Polar Operational Environmental Satellites (POES). These satellites are sun-synchronous, so they see most points on earth twice a day through the course of 14 orbits.…”

Section: Introductionmentioning

confidence: 99%

HIRS Outgoing Longwave Radiation—Daily Climate Data Record: Application toward Identifying Tropical Subseasonal Variability

2018

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This study describes the development of a new globally gridded climate data record (CDR) for daily outgoing longwave radiation (OLR) using the High-Resolution Infrared Radiation Sounder (HIRS) sensor. The new product, hereafter referred to as HIRS OLR, has several differences and advantages over the widely-used daily OLR dataset derived from the Advanced Very High-Resolution Radiometer (AVHRR) sensor on the same NOAA Polar Operational Environmental Satellites (POES), hereafter AVHRR OLR. As a CDR, HIRS OLR has been intersatellite-calibrated to provide the most homogeneous record possible. AVHRR OLR only used the daytime and nighttime overpasses from a single satellite at a time, which creates some challenges for resolving the large diurnal cycle of OLR. HIRS OLR leverages all available overpasses and then calibrates geostationary estimates of OLR to represent that cycle more faithfully. HIRS also has more spectral channels, including those for measuring water vapor, which provides a more accurate measure of OLR. This difference is particularly relevant for large-scale convective systems such as the El Niño-Southern Oscillation and the Madden-Julian Oscillation, whereby the HIRS OLR can better identify the subtropical variability between the tropical convection and the extratropical teleconnections.

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Satellite Determinations of the Relationship between Total Longwave Radiation Flux and Infrared Window Radiance

Cited by 77 publications

References 9 publications

Estimating the outgoing longwave radiation from the FY-3B satellite visible infrared radiometer Channel 5 radiance observations

Estimating the outgoing longwave radiation from the FY-3B satellite visible infrared radiometer Channel 5 radiance observations

Radiative Effects of Various Cloud Types as Classified by the Split Window Technique over the Eastern Sub-tropical Pacific Derived from Collocated ERBE and AVHRR Data.

HIRS Outgoing Longwave Radiation—Daily Climate Data Record: Application toward Identifying Tropical Subseasonal Variability

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