## 3 Science Data Product Performance
### The Visible Infrared Imaging Radiometer Suite (VIIRS) Instrument and Science Data Products
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{1}{c}{**Product**} & \multicolumn{2}{c}{**Requirement**} & \multicolumn{2}{c}{**Performance**} \\  & & **Accuracy** & **Precision** & **Accuracy** & **Precision** \\ \hline \multirow{5}{*}{Ocean Color} & nLw(410) & 10\% & 10\% & 1.0153 & 0.096 \\  & nLw(443) & 10\% & 10\% & 1.0119 & 0.092 \\  & nLw(486) & 10\% & 10\% & 1.0124 & 0.088 \\  & nLw(551) & 10\% & 10\% & 1.0098 & 0.135 \\  & nLw(671) & 10\% & 10\% & 1.0045 & 0.498 \\  & Chl-a & 30\% & 30\% & 1.0016 & 0.163 \\ \cline{1-1}  & Day & \(\pm\)0.20 & 0.60 & \(\pm\)0.20 & 0.45 \\ \cline{1-1}  & Night & \(\pm\)0.20 & 0.60 & \(\pm\)0.15 & 0.35 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: S-NPP VIIRS ocean products performance. Figure 6: S-NPP ocean color climatology Chl-a (2012–2016). In addition to (MSL12) OC processing system NRT products (meeting latency requirements), the OC team also produces JPSS-VIIRS preprocessed ocean-color products for the best quality mission-long S-NPP OC data products to benefit users worldwide. (Figure courtesy: [PERSON], STAR OC team). water bodies. Many user agencies are using the AOT products for applications, such as air-pollution monitoring and as forecasting. The ADP enterprise algorithm currently operating on a variety of instruments (S-NPP/NOAA-20 VIIRS, GOES-16 ABI, etc.) identifies volcanic ash, dust, and smoke. The dust and smoke products are based on enterprise algorithms while volcanic ash is a separate algorithm [64]. The volcanic ash algorithm identifies pixels that have ash, and estimates ash height and ash loading using an optimal estimation technique. The quality flag associated with volcanic ash detection is bundled with the ADP product quality flags to identify ash. The ADP product shows about 85% and 92% probability of correct detection for smoke and dust, good agreement with the Multi-angle Imaging SpectroRadiometer (Figure 7), and meets the requirements. The ADP enterprise algorithm has been used to reprocess S-NPP VIIRS 2013-2015 data sets to produce dust and smoke climatology. The team is also working on variants of the aerosol products that can achieve a tradeoff between data consistency and data latency in order to meet the demands of different users for different applications. Table 7 shows the product performance for the AOD, ADP and Volcanic Ash product. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Product** & \multicolumn{2}{c}{**Requirement**} & \multicolumn{2}{c}{**Performance**} \\ \hline Aerosol Detection (\%) & & & & \\ \% correct typing, smoke & & 80 & & 84.7 & \\ \% correct typic, dust & & 70 & & 92.6 & \\ Accuracy & Precision & Accuracy & Precision \\ Aerosol Optical Depth & & & & \\ Land: AOD \textless{} 0.8 & 0.06 & 0.15 & 0.01 & 0.05 \\ Land: \(0.1\leq\text{AOD}\leq 0.8\) & 0.05 & 0.25 & \(-0.04\) & 0.11 \\ Land: AOD \textgreater{} 0.8 & 0.20 & 0.45 & \(-0.19\) & 0.34 \\ Water: AOD \textless{} 0.3 & 0.08 & 0.15 & 0.02 & 0.04 \\ Water: AOD \textgreater{} 0.3 & 0.15 & 0.35 & \(-0.01\) & 0.11 \\ Aerosol Particle Size & & & & \\
550/860 μm, ocean & 0.3 & 0.6 & 0.07 & 0.39 \\
865/1610 μm, Ocean & 0.3 & 0.6 & \(-0.04\) & 0.33 \\ Volcanic Ash & & & & \\ Height & 3 km & & \(-1.91\) km & 1.37 km \\ Mass loading & 2 tons/km\({}^{2}\) & 2.5 tons/km\({}^{2}\) & 1.13 tons/km\({}^{2}\) & 1.40 tons/km\({}^{2}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 7: S-NPP VIIRS atmosphere products performance. Figure 7: The VIIRS Aerosol Detection Product (ADP) (**left panel**) is found to be in good agreement with Multiangle Imaging Spectroradiometer (MISR) (**right panel**), with respect the location of dust and smoke. The ADP enterprise algorithm is currently running on S-NPP (NDE) and meets the performance requirements. (Figure courtesy: [PERSON]/[PERSON], STAR Aerosol team).