HISEA - HISEA

Context and objectives

Several satellites measure Sea Surface Temperature (SST), each of these with different technical specificities and error sources. Together with in situ data, they form a highly complementary data set. The creation of merged SST products, integrating the strengths of each of its components and minimising their weaknesses, is however not an easy task, but it is certainly a desirable goal that has generated a large amount of research over the last years. The objectives of this project are: (i) To develop a technology that allows to merge different data sets at very different sampling intervals (in space and time) and create an integrated product at the highest sampling frequency and with the highest quality possible. (ii) To provide improved, merged analyses of variables such as SST and chlorophyll. (iii) Obtain a better understanding of inter-sensor differences, and of the diurnal cycle of the studied variables. (iv) To better understand the relation between variables (and take advantage of this improved knowledge to ameliorate the analyses). (v) Using the above-mentioned developments, explore the capability of DINEOF to produce SST forecasts based on multi-variate EOFs and model forecasts. (vi) Finally, to improve DINEOF to meet user needs and required precision.