Bio-optical Measurements, Algorithms & Analyses
Summarized by W.M. Balch
Inherent Optical Properties (Zaneveld)
For the measurement of absorption, this group recommends that filter-pad measurements be made in parallel with ac-9 measurements in order to verify spectral shape, and also to understand the relative importance of particulate and dissolved absorption. Calibration of ac-9's should be according to Wetlabs protocols. Absorption values of pure water should be according to Pope and Frye (1998). AC-9 users should be careful to check the stability of interference filters annually. Finally, when reporting absorption values, one should be sure to designate whether values are for total, particulate, or dissolved fractions. Many of the above comments apply to attenuation. In situ backscattering measurements can now be made with the commercially-available Hydroscat instrument. Regular calibration of the instrument in the field and factory are critical to the proper interpretation of the results. Moreover, "sanity checks" of the data can be done if reflectance and absorption data are available, using the reflectance model of Gordon et al (1983; Barnard and Zaneveld, pers comm.). Other issues that Hydroscat users should be aware of are: 1) data can be affected by instrument orientation (horizontal vs. vertical mounting), especially when the instrument is close to the sea floor, and 2) bubbles can affect any comparison between in situ Hydroscat measurements and shipboard scattering measurements.
Remote Sensing Reflectance (Mueller)
A meeting was convened at Old Dominion University earlier this year for compiling data on RRS+ and RRS-, with the goal of comparing such data and defining protocols. Data are still being collected but is clear that reliable reflectance measurements in the red are rare. As with the above discussion on backscattering, microbubbles near the surface can severely impact surface reflectance measurements. In order to minimize the variance of F/Q, summer match-ups with the sun at peak elevation are ideal. Closure in reflectance measurements can be checked using the reflectance relationship of Gordon et al. (1988) 2 R/Q= S li (bb/(a+bb))i i=1 where Q is the variable distribution function (often set equal to p), and l1 = 0.0949 and l2 = 0.0794. The impact of wind speed on surface reflectance will be addressed by Jim Mueller using tank experiments. A meeting will be held at the Santa Fe ASLO meeting in February, 1999 to discuss the status of the reflectance data set.
Particulate Absorption (Mitchell)
A "round robin" experiment was conducted at Scripps Institute of Oceanography. The goal of this workshop was compare the estimates of b, the path length elongation factor. It was observed that estimates were good to 15-20% for cells>1 µm diameter. Interestingly, Prochlorococcus had b values significantly different from other algal species used in this workshop. This is likely due to its small size. Vicarious checks are recommended for resulting cholorophyll-specific absorption by comparing the 683nm specific absorption with maximum a*683 for chlorophyll a & c containing cells (max a*683 ~ 0.025 m2 mg chl-1) or for chlorophyll b containing cells ( max a*683 ~0.03 m2 mg chl -1) Another "sanity check" is to use a and k values to estimate the mean cosine (mu bar = a/k). It was pointed out that the protocols need to address b . Comparisons of ac-9 vs. filter pad absorption should be done in eutrophic waters where the ac-9 is not limited by path length. Absorption of colored dissolved material requires a preliminary filtration process to remove particulate material. Glass fiber filters can contain significant quantities of CDOM, and must be either pre-combusted at 5000 C (as suggested by Bricaud) or treated with 10% HCl. In either case, pure water should be run through a filter prior to sample filtration. Just as glass fiber filters can leach CDOM, they can also absorb it. This issue makes use of GFF filters for dissolved absorption measurements questionable, and it is preferable to use pre-rinsed polycarbonate filters.
Pigments (Clark)
There was considerable discussion on HPLC vs. fluorometric chlorophyll a determinations. Some of the important issues are that ratios of HPLC chl a: fluorometric chlorophyll can range from to 0.6. Another important issue is that HPLC pigments are difficult to do consistently due to the considerable expertise required. Some other questions raised were 1) what combination of HPLC derived pigments are needed to compare to fluorometrically-derived chlorophyll? 2) what protocols must be used to process HPLC measurements? Several recommendations were made concerning the measurement of pigments. 1) If the SIMBIOS team deems that HPLC pigments are a priority, then funds need to be made available for a laboratory to run such samples for all SIMBIOS investigators. The sample burden for such a laboratory could be simply surface samples from clear; SeaWiFS overpasses rather than entire water column profiles from all stations. 2) A second recommendation is to write out protocols for processing HPLC pigments. International JGOFS protocols exist for flourometric chlorophyll measurements and are sufficient for SIMBIOS. 3) Water soluble pigments should be included in the measurement of accessory pigments. 4)Fluorometric chlorophylls are mandatory for all SIMBIOS measurements while HPLC measurements should be done when possible. 5) Investigators need to be wary of limitations of both techniques.
In situ match-ups (Schieber)
Discussion centered around how to improve match-ups. It was suggested that viewing geometry be also taken in consideration in comparing satellite and ship derived Lw's. Moreover, recording all pertinent information for each of 9 pixels centered over the ship station is essential, in order to adequately describe the statistics. It was also pointed out that there are strong non-linearities involved in taking regional averages, which bias the statistics to underestimate chlorophyll a. Lastly, in order to adequately describe match-up statistics, it is essential that all data are available to all SIMBIOS investigators.
Minimizing error due to residual atmospheric noise (Frouin)
It was pointed out that significant errors in chlorophyll prediction can result from using algorithms based on R443/R550 or R490/R550. The NDPI algorithm ([R443-R555]/R490) has less error from residual atmospheric noise, especially at low chlorophyll concentrations.