Reprocessing 2022.0 is a multi-mission reprocessing to incorporate updates in instrument calibration, vicarious calibration, new ancillary sources and algorithm improvements. The affected missions are CZCS, SeaWiFS, OCTS, MERIS, MODIS on Aqua and Terra, VIIRS on SNPP and NOAA-20, OLCI on Sentinel-3A and Sentinel-3B, GOCI, and HICO. Here we describe the results specific to SeaWiFS. There were no calibration changes in this reprocessing for SeaWiFS aside from a revised vicarious calibration to account for the multi-scattering epsilon change to the atmospheric correction.
Note: In February 2025, SeaWiFS L1A data was converted from HDF5 to netCDF4. The L2 and L3 data were subsequently reprocessed using the reformatted L1A files. However, this reprocessing did not introduce any changes to the final products, apart from the parent L1A files now being in netCDF format.
The comparison of the SeaWiFS time series for global deep water (>1000m) generated for the R2022 configuration to the corresponding R2018 time series is shown below (left panels). The ratio of R2022 to R2018 is also shown (right panels). Overall, the differences in Chlorophyll and remote sensing reflectance between R2018 and R2022 are small.
Validation of the chlorophyll, apparent optical properties (Rrs, Kd490), inherent optical properties (a_giop, aph_giop, adg_giop, bbp_giop), PAR, PIC, and POC retrievals was performed relative to all available match-ups from SeaBASS and the Aerosol Robotic Network - Ocean Color (AERONET-OC). Statistical analysis, scatter plots and frequency distribution comparisons of the satellite to in situ match-ups are provided below.
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
chlor_a | 2270 | 1.07404* | 1.66383* | 0.01940, 300.49725 | 0.009, 138.04700 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
Rrs412 | 2151 | -0.00009 | 0.00136 | -0.00395, 0.01980 | 0.00001, 0.02150 |
Rrs443 | 2489 | -0.00004 | 0.00105 | -0.00258, 0.02152 | 0.00007, 0.02227 |
Rrs490 | 2029 | -0.00046 | 0.00094 | -0.00069, 0.02697 | 0.00039, 0.03020 |
Rrs510 | 1037 | -0.00025 | 0.00075 | 0.00048, 0.02702 | 0.00065, 0.03023 |
Rrs555 | 2145 | -0.00039 | 0.00084 | 0.00089, 0.02627 | 0.00029, 0.03052 |
Rrs670 | 1595 | -0.00009 | 0.00032 | -0.00054, 0.01236 | 0.00002, 0.01090 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
kd490 | 688 | 1.14673* | 1.35752* | 0.01966, 6.40000 | 0.00170, 1.80630 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
a_giop412 | 302 | 0.92347* | 1.75333* | 0.01418, 2.61910 | 0.01119, 2.06813 |
a_giop443 | 302 | 0.87383* | 1.53631* | 0.01556, 2.43129 | 0.01177, 1.55735 |
a_giop490 | 302 | 0.82135* | 1.33673* | 0.02000, 1.53624 | 0.01707, 0.80774 |
a_giop510 | 302 | 0.86589* | 1.24734* | 0.03518, 1.27270 | 0.03396, 0.63838 |
a_giop555 | 302 | 0.91844* | 1.14711* | 0.02489, 0.83111 | 0.05983, 0.4090 |
a_giop670 | 302 | 0.93333* | 1.10831* | 0.04994, 1.88431 | 0.44098, 0.89216 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
aph_giop412 | 297 | 0.73569* | 1.75587* | 0.00009, 1.84905 | 0.00057, 0.30817 |
aph_giop443 | 302 | 0.81311* | 1.69451* | 0.00028, 1.98613 | 0.00075, 0.36954 |
aph_giop490 | 302 | 0.86385* | 1.64818* | 0.00019, 1.33298 | 0.00036, 0.25075 |
aph_giop510 | 302 | 0.85628* | 1.73937* | 0.00006, 1.10896 | 0.00013, 0.20075 |
aph_giop555 | 291 | 0.91812* | 1.88591* | 0.00005, 0.82529 | 0.00006, 0.10098 |
aph_giop670 | 302 | 1.04091* | 1.78792* | 0.00008, 1.43677 | 0.00022, 0.20921 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
adg_giop412 | 301 | 0.87503* | 2.28397* | 0.00250, 2.26612 | 0.00539, 1.49709 |
adg_giop443 | 301 | 0.80043* | 2.37875* | 0.00143, 1.40316 | 0.00268, 0.96252 |
adg_giop490 | 301 | 0.66532* | 2.63639* | 0.00060, 0.75179 | 0.00105, 0.51651 |
adg_giop510 | 301 | 0.62244* | 2.75177* | 0.00044, 0.52449 | 0.00073, 0.39066 |
adg_giop555 | 301 | 0.52130* | 3.12199* | 0.00019, 0.23333 | 0.00004, 0.21688 |
adg_giop670 | 301 | 0.30274* | 4.42809* | 0.00009, 0.02945 | 0.00006, 0.05104 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
bbp_giop412 | 195 | 0.92548* | 1.51465* | 0.00014, 0.01112 | 0.00067, 0.04272 |
bbp_giop443 | 195 | 0.91610* | 1.49576* | 0.00014, 0.01025 | 0.00058, 0.03701 |
bbp_giop490 | 195 | 0.89594* | 1.47270* | 0.00014, 0.00912 | 0.00047, 0.03064 |
bbp_giop510 | 195 | 0.89171* | 1.46530* | 0.00014, 0.00870 | 0.00044, 0.02827 |
bbp_giop555 | 195 | 0.87839* | 1.45564* | 0.00014, 0.00801 | 0.00037, 0.02405 |
bbp_giop670 | 195 | 0.84646* | 1.47337* | 0.00014, 0.00719 | 0.00025, 0.01677 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
par | 776 | 7.85011 | 8.01971 | 17.58338, 63.98180 | 8.98305, 62.12110 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
pic | 28 | 0.37003* | 4.19257* | 0.00001, 0.00532 | 0.00001, 0.00126 |
Product Name | # | Mean Bias | Mean Absolute Error (MAE) | SeaWiFS Range | In situ Range |
---|---|---|---|---|---|
poc | 400 | 1.00615* | 1.34598* | 21.59990, 1844.70520 | 19.54000, 1191.85925 |