the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
VIIRS Global Area Coverage (VGAC): A reduced resolution VIIRS dataset for climate data record continuity
Abstract. The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument represents a significant change from the legacy weather satellite observations. For example, there are several differences in scanning strategy, channels, file structure, etc. from the Advanced Very High Resolution Radiometer (AVHRR) which has flown on low earth orbit satellites since the 1970s. Several longstanding climate data records were developed expressly using the AVHRR instrument’s Global Area Coverage (GAC) data. The VIIRS Global Area Coverage (VGAC) dataset is an attempt to more closely bridge the old GAC technology with the new. The VGAC data file provides one orbit of VIIRS observations that have been degraded in resolution to approximate the AVHRR GAC resolution by defining a swath projection model. Each channel is provided using a swath that simulates a scan at ~3.9 km resolution. VGAC provides mean and standard deviation values for each moderate resolution (750 m) VIIRS channel. Higher resolution VIIRS imaging channels (375 m) contain more information, including maximum and minimum radiances, which benefit algorithms like cloud and surface retrievals. The result is that VGAC data are 50 times smaller with 1800 fewer files than the original VIIRS data. The main purpose of VGAC data is to facilitate climate processing to continue the historic climate records from AVHRR and other satellites. VGAC data described here are available from NOAA via https://doi.org/10.25921/gsef-pg81 (Knapp et al., 2024).
Competing interests: Kenneth R. Knapp operates Knapp WeatherSat Services, an independent consultancy, and performed this work under contract with NC State. Yuhan (Douglas) Rao is a topic editor for the ESSD journal.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.- Preprint
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Status: open (until 30 Sep 2026)
- CC1: 'Comment on essd-2026-339', Hilawe Semunegus, 19 Aug 2026 reply
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RC1: 'Comment on essd-2026-339', Anonymous Referee #1, 06 Sep 2026
reply
The authors describe a methodology and format to represent VIIRS data in a way such as to approximate legacy AVHRR GAC data. This is an important development, allowing to much more easily process the VIIRS data consistently with AVHRR, thus contributing to the construction of homogeneous climate data records from these instruments. The manuscript is fairly clear, and I have no major comments. Below are some specific comments and questions that can hopefully help to further improve the paper.
Specific comments
Abstract: ‘1800 fewer files’ sounds like the number of files is 1800 less (which is not what is meant). It may be clearer to write something like ‘the number of files is reduced by a factor 1800’.
L57-58: AVHRR/1 had 4 channels. AVHRR/3 has 6 channels.
L138-150: This is presented as a list of requirements to continue the ISCCP record but is rather a list of VGAC properties. It looks like only the first two points are relevant for the ISCCP record, the other points describe other characteristics that improve the utility of the data in general. For example, the extra channels in VGAC (3rd point) do not seem to be used in ISCCP.
Section 3.3: From the first paragraph of this section, I understand that the actual quantities reported in the VGAC files are radiances, but it is not crystal clear. For example, line 216 mentions ‘a mean DNB value’. It would be good to make this more explicit, in particular also in Table 2.2.
Section 4: Here more information about the file content is provided. For example, LUTs are included to directly get brightness temperature from radiance. I would suggest to also add this in Table 2.2, so that this table more completely reflects the file content. Is information to convert radiance to reflectance (earth-sun distance and in-band solar constant) also included?
Section 5, L318: I assume the pointing accuracy is actually much higher than the VGAC spatial resolution?
Figure 7: I suggest shrinking the y-axis for clarity and adding trend lines. A slight positive trend is mentioned for SNPP. Is it significant? Suggestion for y-axis label: ‘DCC reflectance anomaly (%)’.
Section 6: The text suggests that VGAC is continuously extended into the present. What is the latency?
Section 6: Perhaps I missed it, but it would be good to specify exactly which VIIRS Level-1 data have been used for the respective instruments, since there have been reprocessings and there are NOAA as well as NASA flavours.
Technical comments
Table 1: Use comma consistently: ’10,313’.
L70: add channel after IR
L79: ‘due to .... the cosine of the satellite zenith angle’ does not make sense. Please rephrase.
L122: are -> is
L150: ‘This is a first for ...’: incomplete sentence. ‘first requirement’?
L170-171: ‘the cells clearly show that the three cells ...’ -> rephrase
Caption Fig. 3: Also, bold black lines are omitted.
L189: Approximately should be denoted by two tildes (one means same order of magnitude)
L232-233: e.g. should be i.e.? And what is ‘it’?
L247: ‘but only varies ..’. What is the subject here?
L249: ‘.. differences ... is ...’
L255: algorithm -> algorithms
L270: ‘VGAC (pixel sizes?) do not.’
L297: I believe either ‘s’ or ‘seconds’ should be used, rather than ‘sec’.
L316: ‘The data quality ... rely ...’
L317: ‘... analyzes ... analyzing ...’
L360-361: ‘Climate Monitoring Satellite Application Facility CLARA-A3 cloud data record’
L389: It seems the abbreviation STAR has not yet been introduced.
Citation: https://doi.org/10.5194/essd-2026-339-RC1
Data sets
Visible Infrared Imaging Radiometer Suite (VIIRS) Global Area Coverage (VGAC) (Version 1) K. R. Knapp et al. https://doi.org/10.25921/gsef-pg81
Interactive computing environment
VGAC Tutorial Jupyter Python Notebooks, v1.0.0 K. R. Knapp https://doi.org/10.5281/zenodo.19952585
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Excellent paper.
Because the projection is generic to cross-track and push-broom (along-track) instruments on near-circular orbits, it is a strong candidate for standardization in the netCDF Climate and Forecast conventions, which at present have no analytic representation for swath geometry. I am pursuing that separately and would welcome the authors' involvement. Stating the conventions precisely in this manuscript, as suggested above, would make that work considerably easier for everyone who follows."
I have also attached a PDF as a 'technical annex' feedback.