TY - JOUR
T1 - Validation of SeaWiFS Chlorophyll ema/em Concentrations in the Southern Ocean: A Revisit
AU - Marrari, Marina
AU - Daly, Kendra L.
AU - Hu, Chuanmin
PY - 2006/12/1
Y1 - 2006/12/1
N2 - Surface chlorophyll a concentrations ( C a , mg m− 3) in the Southern Ocean estimated from SeaWiFS satellite data have been reported in the literature to be significantly lower than those measured from in situ water samples using fluorometric methods. However, we found that high-resolution (∼ 1 km2/pixel) daily SeaWiFS C a ( C a SWF) data (SeaDAS4.8, OC4v4 algorithm) was an accurate measure of in situ C a during January–February of 1998–2002 if concurrent in situ data measured by HPLC ( C a HPLC) instead of fluorometric ( C a Fluor) measurements were used as ground truth. Our analyses indicate that C a Fluor is 2.48 ± 2.23 ( n = 647) times greater than C a HPLC between 0.05 and 1.5 mg m− 3 and that the percentage overestimation of in situ C a by fluorometric measurements increases with decreasing concentrations. The ratio of C a SWF/ C a HPLC is 1.12 ± 0.91 ( n = 96), whereas the ratio of C a SWF/ C a Fluor is 0.55 ± 0.63 ( n = 307). Furthermore, there is no significant bias in C a SWF (12% and − 0.07 in linear and log-transformed C a , respectively) when C a HPLC is used as ground truth instead of C a Fluor. The high C a Fluor/ C a HPLC ratio may be attributed to the relatively low concentrations of chlorophyll b ( C b / C a = 0.023 ± 0.034, n = 482) and relatively high concentrations of chlorophyll c ( C c / C a = 0.25 ± 0.59, n = 482) in the phytoplankton pigment composition when compared to values from other regions . Because more than 90% of the waters in the study area, as well as in the entire Southern Ocean (south of 60° S), have C a SWF between 0.05 and 1.5 mg m− 3, we consider that the SeaWiFS performance of C a retrieval is satisfactory and for this C a range there is no need to further develop a “regional” bio-optical algorithm to account for the previous SeaWiFS “underestimation”.
AB - Surface chlorophyll a concentrations ( C a , mg m− 3) in the Southern Ocean estimated from SeaWiFS satellite data have been reported in the literature to be significantly lower than those measured from in situ water samples using fluorometric methods. However, we found that high-resolution (∼ 1 km2/pixel) daily SeaWiFS C a ( C a SWF) data (SeaDAS4.8, OC4v4 algorithm) was an accurate measure of in situ C a during January–February of 1998–2002 if concurrent in situ data measured by HPLC ( C a HPLC) instead of fluorometric ( C a Fluor) measurements were used as ground truth. Our analyses indicate that C a Fluor is 2.48 ± 2.23 ( n = 647) times greater than C a HPLC between 0.05 and 1.5 mg m− 3 and that the percentage overestimation of in situ C a by fluorometric measurements increases with decreasing concentrations. The ratio of C a SWF/ C a HPLC is 1.12 ± 0.91 ( n = 96), whereas the ratio of C a SWF/ C a Fluor is 0.55 ± 0.63 ( n = 307). Furthermore, there is no significant bias in C a SWF (12% and − 0.07 in linear and log-transformed C a , respectively) when C a HPLC is used as ground truth instead of C a Fluor. The high C a Fluor/ C a HPLC ratio may be attributed to the relatively low concentrations of chlorophyll b ( C b / C a = 0.023 ± 0.034, n = 482) and relatively high concentrations of chlorophyll c ( C c / C a = 0.25 ± 0.59, n = 482) in the phytoplankton pigment composition when compared to values from other regions . Because more than 90% of the waters in the study area, as well as in the entire Southern Ocean (south of 60° S), have C a SWF between 0.05 and 1.5 mg m− 3, we consider that the SeaWiFS performance of C a retrieval is satisfactory and for this C a range there is no need to further develop a “regional” bio-optical algorithm to account for the previous SeaWiFS “underestimation”.
KW - Remote sensing
KW - Ocean color
KW - Algorithm
KW - Chlorophyll
KW - HPLC
KW - Fluorometric
KW - Southern Ocean
UR - https://digitalcommons.usf.edu/msc_facpub/850
UR - https://doi.org/10.1016/j.rse.2006.07.008
U2 - 10.1016/j.rse.2006.07.008
DO - 10.1016/j.rse.2006.07.008
M3 - Article
VL - 105
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
ER -