## 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
**Product** & **Type** & **Bias** & **STD** & \
\begin{tabular}{c} **Within the Specified** \\ **Accuracy** \\ \end{tabular} &
\begin{tabular}{c} **Within the Specified** \\ **Precision** \\ \end{tabular} \\ \hline \multirow{2}{*}{CTH—Cloud Top Height} & All Clouds & \(-0.3\) km & \(1.26\) km & \(81.9\)\% & \(82.3\)\% \\  & Water & \(-0.02\) km & \(0.80\) km & \(90.7\)\% & \(90.8\)\% \\  & Ice & \(-0.87\) km & \(1.74\) km & \(64.5\)\% & \(65.7\)\% \\ \multirow{2}{*}{CTT—Cloud Top Temperature} & All Clouds & \(1.65\) K & \(9.08\) K & \(51.2\)\% & \(36.3\)\% \\  & Water & \(-0.51\) K & \(4.08\) K & \(70.4\)\% & \(74.5\)\% \\ \multirow{2}{*}{CTP —Cloud Top Pressure} & Ice & \(4.03\) K & \(12.02\) K & \(29.8\)\% & \(24.2\)\% \\  & All Clouds & \(-11.0\) hPa & \(95.7\) hPa & \(80.9\)\% & \(80.1\)\% \\ \multirow{2}{*}{CTP —Cloud Top Pressure} & Water & \(8.8\) hPa & \(68.8\) hPa & \(89.6\)\% & \(89.4\)\% \\  & Ice & \(-28.6\) hPa & \(111.6\) hPa & \(73.2\)\% & \(63.7\)\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: S-NPP VIRS cloud top products performance. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Product** & \multicolumn{2}{c}{**Requirement**} & \multicolumn{2}{c}{**Performance**} \\ \hline Global Gridded Surface Type \% correct typing & \multicolumn{2}{c}{\(70\)\%} & \multicolumn{2}{c}{\(77.6\pm 0.6\)\%} \\  & Accuracy & Precision & Accuracy & Precision \\ Land Surface Temperature & \(1.4\) K & \(2.5\) K & \(-0.08\) K & \(2.26\) K \\ Surface Albedo & \(0.08\) & \(0.05\) & \(-0.005\) & \(0.05\) \\ Surface Albedo & \(0.08\) & \(0.05\) & \(-0.005\) & \(0.05\) \\ Surface Reflectance * & \(0.005+0.05\)p & \(0.005+0.05\)p & \(-0.00560\) & \(0.00563\) \\ Green Vegetation Fraction ** & & & & \\ Global & \(12\)\% & \(15\)\% & \(8\)\% & \(8.4\)\% \\ Regional & \(12\)\% & \(15\)\% & \(7.1\)\% & \(7\)\% \\ Vegetation Index & & & & \\ TOA NDVI & \(0.05\) & \(0.04\) & \(0.013\) & \(0.012\) \\ TOC NDVI & \(0.05\) & \(0.04\) & \(0.012\) & \(0.018\) \\ TOC EVI & \(0.05\) & \(0.04\) & \(0.020\) & \(0.011\) \\ \hline \hline \end{tabular}  
* Surface Reflectance: better than \(0.005+0.05\)p for M4, M5, M7, I1, I2, I3, M8, M10, M11, shown in table is the Band-5 performance; \(p\) denotes the retrieved surface reflectance; ** Green Vegetation Fraction: uncertainty requirement \(17\)%; Product performance: \(11.6\)% for global, and \(10\)% for regional  
\end{table} 
Table 5: S-NPP VIRS land products performance. main requirement by the end users (e.g., Land Hydrology group) is to have consistent sets of land products delivered on the same grid resolution (e.g., 1 km). Currently, the land product teams are finalizing the technical details of a land product global gridding system that uses pixel-level granule products and produces a consistent set of global gridded products at 1 km spatial resolution. Figure 4: Gridded VIIRS vegetation products. The NDE enterprise Vegetation Product Suite (NVPS) includes a variety of Vegetation Index (VI) products and the GVF product. The product suite contains daily, weekly and biweekly global and regional (North America) products at 4 km and at 1 km spatial resolution, respectively (figure courtesy: [PERSON], STAR VI/GVF team). A wide variety of ocean data products are derived from the VIIRS instrument. Figures 5 and 6 show two important ocean EDR products, the SST and the ocean color chlorophyll-a (OCC). The SST product is derived using the Advanced Clear-Sky Processor for Ocean (ACSPO) SST algorithm [35; 50; 51]. The algorithm, a regression algorithm trained with in situ measurements, uses separate sets of VIIRS channels for day and night and retrieves SST at every cloud-free VIIRS pixel. The algorithm produces consistent products from the S-NPP VIIRS, the GOES instruments, as well as NOAA-20 and GOES-16 for many real-time applications. The team also produces a gridded product by mapping the SST EDR product into equal 0.02\({}^{\circ}\) grid boxes.