Next Article in Journal
Influence of Assimilating Wind Profiling Radar Observations in Distinct Dynamic Instability Regions on the Analysis and Forecast of an Extreme Rainstorm Event in Southern China
Next Article in Special Issue
Evaluation of 10-Year NOAA/NASA Suomi NPP and NOAA-20 VIIRS Reflective Solar Band (RSB) Sensor Data Records (SDR) over Deep Convective Clouds
Previous Article in Journal
Modeling Spatiotemporal Patterns of Land Use/Land Cover Change in Central Malawi Using a Neural Network Model
Previous Article in Special Issue
S-NPP VIIRS Lunar Calibrations over 10 Years in Reflective Solar Bands (RSB)

JPSS VIIRS SST Reanalysis Version 3

STAR, NOAA Center For Weather and Climate Prediction (NCWCP), College Park, MD 20740, USA
Global Science and Technology, Inc., Greenbelt, MD 20770, USA
Author to whom correspondence should be addressed.
Academic Editor: Sergei Badulin
Remote Sens. 2022, 14(14), 3476;
Received: 2 June 2022 / Revised: 14 July 2022 / Accepted: 15 July 2022 / Published: 20 July 2022
(This article belongs to the Special Issue VIIRS 2011–2021: Ten Years of Success in Earth Observations)
The 3rd full-mission reanalysis (RAN3) of global sea surface temperature (SST) with a 750 m resolution at nadir is available from VIIRS instruments flown onboard two JPSS satellites: NPP (February 2012–present) and N20 (January 2018–present). Two SSTs, ‘subskin’ (sensitive to skin SST) and ‘depth’ (proxy for in situ SST at depth of 20 cm), were produced from brightness temperatures (BTs) in the VIIRS bands centered at 8.6, 11 and 12 µm during the daytime and an additional 3.7 µm band at night, using the NOAA Advanced Clear Sky Processor for Ocean (ACSPO) enterprise SST system. The RAN3 dataset is fully archived at NASA JPL PO.DAAC and NOAA CoastWatch, and routinely supplemented in near real time (NRT) with a latency of a few hours. Delayed mode (DM) processing with a 2 months latency follows NRT, resulting in a more uniform science quality SST record. This paper documents and evaluates the performance of the VIIRS RAN3 dataset. Comparisons with in situ SSTs from drifters and tropical moorings (D+TM) as well as Argo floats (AFs) (both available from the NOAA iQuam system) show good agreement, generally within the NOAA specifications for accuracy (±0.2 K) and precision (0.6 K), in a clear-sky domain covering 18–20% of the global ocean. The nighttime SSTs compare with in situ data more closely, as expected due to the reduced diurnal thermocline. The daytime SSTs are also generally within NOAA specs but show some differences between the (D+TM) and AF validations as well as residual drift on the order of −0.1 K/decade. BT comparisons between two VIIRSs and MODIS-Aqua show good consistency in the 3.7 and 12 µm bands. The 11 µm band, while consistent between NPP and N20, shows residual drift with respect to MODIS-Aqua. Similar analyses of the 8.6 µm band are inconclusive, as the performance of the MODIS band 29 centered at 8.6 µm is degraded and unstable in time and cannot be used for comparisons. View Full-Text
Keywords: ACSPO; sea surface temperature; SST; VIIRS; JPSS; NLSST; AVHRR; S-NPP; NPP; NOAA-20; N20; reanalysis; RAN3; stability; CRTM; radiative transfer; clear-sky mask ACSPO; sea surface temperature; SST; VIIRS; JPSS; NLSST; AVHRR; S-NPP; NPP; NOAA-20; N20; reanalysis; RAN3; stability; CRTM; radiative transfer; clear-sky mask
Show Figures

Figure 1

MDPI and ACS Style

Jonasson, O.; Ignatov, A.; Pryamitsyn, V.; Petrenko, B.; Kihai, Y. JPSS VIIRS SST Reanalysis Version 3. Remote Sens. 2022, 14, 3476.

AMA Style

Jonasson O, Ignatov A, Pryamitsyn V, Petrenko B, Kihai Y. JPSS VIIRS SST Reanalysis Version 3. Remote Sensing. 2022; 14(14):3476.

Chicago/Turabian Style

Jonasson, Olafur, Alexander Ignatov, Victor Pryamitsyn, Boris Petrenko, and Yury Kihai. 2022. "JPSS VIIRS SST Reanalysis Version 3" Remote Sensing 14, no. 14: 3476.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop