Technical Note: Algal Pigment Index 2 in the Atlantic off the Southwest Iberian Peninsula: standard and regional algorithms

Abstract

Abstract. In this study, Algal Pigment Index 2 (API2) is investigated in Sagres, an area located in the Atlantic off the southwestern Iberian Peninsula. Standard results provided by MEdium Resolution Image Spectrometer (MERIS) ocean color sensor were compared with alternative data products, determined through a regional inversion scheme, using both MERIS and in situ remote sensing reflectances (Rrs) as input data. The reference quantity for performance assessment is in situ total chlorophyll a (TChla) concentration estimated through phytoplankton absorption coefficient (i.e., equivalent to API2). Additional comparison of data products has also been addressed to TChla concentration determined by High Performance Liquid Chromatography. The MERIS matchup analysis revealed a systematic underestimation of TChla, which was confirmed with an independent comparison of product maps analysis. The study demonstrates the importance of regional algorithms for the study area that could complement upcoming standard results of the present Sentinel-3/OLCI space mission.

A high‐performance computing framework for Monte Carlo ocean color simulations

“…MLP neural networks have been widely used for a number of applications including performance modeling [48,51], job scheduling [52], load balancing [53], design space exploration [54,55], and OC bio-optical inversion [29,30,[56][57][58][59][60][61][62][63][64]. A common finding among these studies is that a key to successful MLP applications is empirical tuning of MLP algorithms in terms of network architecture, data pre-processing, and application-specific feature selection.…”