TY - JOUR T1 - Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data A1 - Soppa,Mariana A. A1 - Hirata,Takafumi A1 - Silva,Brenner A1 - Dinter,Tilman A1 - Peeken,Ilka A1 - Wiegmann,Sonja A1 - Bracher,Astrid AD - Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, D-27570 Bremerhaven, Germany. AD - Hokkaido Univ, Fac Environm Earth Sci, Kita Ku, Sapporo, Hokkaido 0600810, Japan. AD - Japan Sci & Technol Agcy, CREST, Kita Ku, Sapporo, Hokkaido 0600810, Japan. AD - Univ Marburg, Lab Climatol & Remote Sensing, D-35037 Marburg, Germany. AD - Univ Bremen, Inst Environm Phys, D-28359 Bremen, Germany. AD - MARUM Ctr Marine Environm Sci, D-28359 Bremen, Germany. UR - https://archimer.ifremer.fr/doc/00290/40075/ DO - 10.3390/rs61010089 KW - ocean colour KW - phytoplankton functional types KW - diatom KW - remote sensing KW - chlorophyll-a N2 - Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for diatom using an Abundance Based Approach (ABA). A large global in situ data set of phytoplankton pigments was compiled, particularly with more samples collected in the SO. We revised the ABA to take account of the information on the penetration depth (Z(pd)) and to improve the relationship between diatoms and total chlorophyll-a (TChla). The results showed that there is a distinct relationship between diatoms and TChla in the SO, and a new global model (ABA(Zpd)) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model. In addition, we developed a regional model for the SO which further improved the retrieval of diatoms by 17% compared with the global ABA(Zpd) model. As a result, we found that diatom may be more abundant in the SO than previously thought. Linear trend analysis of diatom abundance using the regional model for the SO showed that there are statistically significant trends, both increasing and decreasing, in diatom abundance over the past eleven years in the region. Y1 - 2014/10 PB - Mdpi Ag JF - Remote Sensing SN - 2072-4292 VL - 6 IS - 10 SP - 10089 EP - 10106 ID - 40075 ER -