Publications

Pan, XJ; Wong, GTF; Ho, TY; Tai, JH (2019). Diel variability of vertical distributions of chlorophyll a at the SEATS and ALOHA stations: implications on remote sensing interpretations. INTERNATIONAL JOURNAL OF REMOTE SENSING, 40(8), 2916-2935.

Abstract
The effects of the diel (involving a 24 hour period) variations in the surface concentrations of chlorophyll a (C) on the use of once-daily remotely sensed C as the diel average were assessed from the diel records in the derived depth-weighted C (C-d) that should be detected by remote sensing and the in situ surface C at two time-series stations in the North Pacific: the SEATS (SouthEast Asian Time-series Study) station in the northern South China Sea and the ALOHA (A Long-Term Oligotrophic Habitat Assessment) station in the North Pacific subtropical gyre. In situ surface C varied by a factor of about 2.0 and 1.3 over a diel cycle, and by +/- 20% and +/- 9% over the diel average at the SEATS and ALOHA stations, respectively. As the overpass-times of the different satellites were not identical, C-d was satellite-dependent. While the C-d corresponding to MODerate resolution Imaging Spectroradiometer on Aqua (MODIS-Aqua) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) overpass-times agreed to +/- 10%, the C-d corresponding to MEdium Resolution Imaging Spectrometer (MERIS) overpass-time could differ from the other two by -22% to +28% at the SEATS station and -1% to +12% at the ALOHA station. In addition, C-d corresponding to the overpass-times of the three satellites deviated from the observed diel average in situ surface C by -19% to +32% at the SEATS station and by -6% to +13% at the ALOHA station. These results indicate that, as a result of diel variations, neither a one-time remotely-sensed nor a one-time observed in situ surface C can represent the diel average in situ surface C accurately. Furthermore, diel variations are an inherent source of uncertainty when data from multiple satellites are pooled for use. The magnitudes of these discrepancies can be comparable to the commonly claimed uncertainties in remotely sensed C and thus should be taken into consideration in its interpretation and use.

DOI:
10.1080/01431161.2018.1538583

ISSN:
0143-1161