Next Article in Journal
A Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery
Previous Article in Journal
Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines
Previous Article in Special Issue
Error Correlations in High-Resolution Infrared Radiation Sounder (HIRS) Radiances
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Tabata, T., et al. Recalibration of over 35 Years of Infrared and Water Vapor Channel Radiances of the JMA Geostationary Satellites. Remote Sens. 2019, 11, 1189

1
Japan Meteorological Agency, 1-3-4 Otemachi, Chiyoda-ku, Tokyo 100-8122, Japan
2
EUMETSAT, Eumetsat Allee 1, 64295 Darmstadt, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(5), 861; https://doi.org/10.3390/rs12050861
Submission received: 3 March 2020 / Accepted: 3 March 2020 / Published: 7 March 2020
(This article belongs to the Special Issue Assessment of Quality and Usability of Climate Data Records)
The authors wish to make the following corrections to this paper [1]:
Tables in the appendix B included errors in copying data. These were corrected.
Replace:
Table without name (Old Table)
Brightness temperature to radianceRadiance to brightness temperature
R = a 1 e x p ( a 2 T e 1 ) T b = b 0 +   b 1 T e + b 2 T e 2
wherewhere
T e = b 0 +   b 1 T b + b 2 T b 2 T e = a 2 l n ( a 1 R + 1 )
with
Table without name (New Table)
Brightness temperature to radianceRadiance to brightness temperature
R = a 1 e x p ( a 2 T e ) 1 T b = c 0 +   c 1 T e + c 2 T e 2
wherewhere
T e = b 0 +   b 1 T b + b 2 T b 2 T e = a 2 l n ( a 1 R + 1 )
Replace:
Table A5 (Old Table)
Satellite/
Sensor
ChannelBand Correction Coefficient
a1a2b0b1b2
c0c1c2
GMS/
VISSR
IR8255.7322074 1273.3143667 2.2758460.9884311.1793766 × 10−5
−2.2994151.011715−1.2013822 × 10−5
GMS–2/
VISSR
IR9212.3644250 1320.7100318 1.7371340.9911479.4856395 × 10−6
−1.7506731.008937−9.6145107 × 10−6
GMS–3/
VISSR
IR8186.4103806 1269.7404178 2.2232450.9890761.0259023 × 10−5
−2.2454861.011059−1.0452385 × 10−5
GMS–4/
VISSR
IR9317.5135144 1325.7158559 2.2093120.9890111.1303155 × 10−5
−2.2310421.011122−1.1501695 × 10−5
GMS–5/
VISSR
IR9435.9748564 1331.3105240 0.7363620.9965513.0920152 × 10−6
−0.7387031.003462−3.1108864 × 10−6
WV35,926.6023447 2078.8468183 0.5568510.9984077.5627042 × 10−7
−0.5577281.001596−7.5910270 × 10−7
GOES–9/
Imager
IR9476.1178904 1333.1957641 0.4911520.9976932.0906405 × 10−6
−0.4921941.002313−2.0991027 × 10−6
WV38,784.3857168 2132.5673014 0.4165890.9988116.0331891 × 10−7
−0.4170771.001191−6.0497125 × 10−7
MTSAT–1R/
JAMI
IR9472.6233105 1333.0318598 0.4027640.9981221.6713304 × 10−6
−0.4034621.001882−1.6769060 × 10−6
WV38,354.2134967 2124.6536020 0.4013090.9988555.7482986 × 10−7
−0.4017621.001147−5.7635116 × 10−7
MTSAT–2/
IMAGER
IR9717.8743052 1344.4382687 0.5126000.9976262.1027280 × 10−6
−0.5137241.002381−2.1116295 × 10−6
WV38,726.0971362 2131.4984293 0.5219280.9985416.7803280 × 10−7
−0.5226811.001462−6.8037191 × 10−7
with
Table A5 (New Table)
Satellite/
Sensor
ChannelBand Correction Coefficient
a1a2b0b1b2
c0c1c2
GMS/
VISSR
IR8255.3989526 1273.2972334 2.27570220.98843181.1793267 × 10−5
−2.29926851.0117148−1.2013300 × 10−5
GMS–2/
VISSR
IR9214.2439210 1320.7998423 1.74289460.99114869.4229928 × 10−6
−1.75650931.0089361−9.5518013 × 10−6
GMS–3/
VISSR
IR8186.0813819 1269.7234079 2.22310540.98907611.0258679 × 10−5
−2.24534301.0110581−1.0452023 × 10−5
GMS–4/
VISSR
IR9317.0102296 1325.6919859 2.20925200.98900981.1306309 × 10−5
−2.23098161.0111233−1.1504885 × 10−5
GMS–5/
VISSR
IR9436.1509182 1331.3188041 0.73657810.99655053.0927987 × 10−6
−0.73892031.0034631−3.1116802 × 10−6
WV35,926.6023447 2078.8468183 0.55685130.99840687.5627042 × 10−7
−0.55772771.0015964−7.5910270 × 10−7
GOES–9/
Imager
IR9718.2592835 1344.4560220 0.51309800.99762262.1068265 × 10−6
−0.51422471.0023838−2.1157521 × 10−6
WV38,729.0279165 2131.5521983 0.52283480.99853896.7751021 × 10−7
−0.52359001.0014638−6.7985173 × 10−7
MTSAT–1R/
JAMI
IR9475.9080697 1333.1859242 0.49122930.99769212.0915292 × 10−6
−0.49227101.0023139−2.0999958 × 10−6
WV38,784.1056187 2132.5621676 0.41654520.99881136.0328185 × 10−7
−0.41703321.0011905−6.0493393 × 10−7
MTSAT–2/
IMAGER
IR9471.3339906 1332.9715704 0.40368950.99811731.6749284 × 10−6
−0.40439031.0018867−1.6805293 × 10−6
WV38,352.6325483 2124.6247169 0.40067640.99885675.7395127 × 10−7
−0.40112791.0011449−5.7546785 × 10−7
The authors confirm that the corrected errors are not related to the science and methodology presented in the published paper. The authors apologize for any inconvenience caused to the readers by these changes.

References

  1. Tabata, T.; John, V.O.; Roebeling, R.A.; Hewison, T.; Schulz, J. Recalibration of over 35 Years of Infrared and Water Vapor Channel Radiances of the JMA Geostationary Satellites. Remote Sens. 2019, 11, 1189. [Google Scholar] [CrossRef] [Green Version]

Share and Cite

MDPI and ACS Style

Tabata, T.; John, V.O.; Roebeling, R.A.; Hewison, T.; Schulz, J. Correction: Tabata, T., et al. Recalibration of over 35 Years of Infrared and Water Vapor Channel Radiances of the JMA Geostationary Satellites. Remote Sens. 2019, 11, 1189. Remote Sens. 2020, 12, 861. https://doi.org/10.3390/rs12050861

AMA Style

Tabata T, John VO, Roebeling RA, Hewison T, Schulz J. Correction: Tabata, T., et al. Recalibration of over 35 Years of Infrared and Water Vapor Channel Radiances of the JMA Geostationary Satellites. Remote Sens. 2019, 11, 1189. Remote Sensing. 2020; 12(5):861. https://doi.org/10.3390/rs12050861

Chicago/Turabian Style

Tabata, Tasuku, Viju O. John, Rob A. Roebeling, Tim Hewison, and Jörg Schulz. 2020. "Correction: Tabata, T., et al. Recalibration of over 35 Years of Infrared and Water Vapor Channel Radiances of the JMA Geostationary Satellites. Remote Sens. 2019, 11, 1189" Remote Sensing 12, no. 5: 861. https://doi.org/10.3390/rs12050861

APA Style

Tabata, T., John, V. O., Roebeling, R. A., Hewison, T., & Schulz, J. (2020). Correction: Tabata, T., et al. Recalibration of over 35 Years of Infrared and Water Vapor Channel Radiances of the JMA Geostationary Satellites. Remote Sens. 2019, 11, 1189. Remote Sensing, 12(5), 861. https://doi.org/10.3390/rs12050861

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop