Hydrographic conditions along a northeastern section off the eastern coast of Qatar Peninsula, Arabian Gulf were measured seasonally for the first time. Six sampling stations, along a 105-km section perpendicular to the major axis of the Gulf, were visited five times within one year (October 2012, January 2013, April 2013, June 2013, and August 2013) to investigate seasonal and spatial variations in hydrographic conditions of Qatar’s exclusive economic zone. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

SADCP data processed (UHDAS/CODAS) by University of Hawaii (https://currents.soest.hawaii.edu/uhdas_home/)

Global phytoplankton production monthly maps for 2017 are produced using an artificial neural network to perform a generalized nonlinear regression of PP on several predictive variables, including latitude, longitude, day length, MLD, SST, PBopt computed according to Behrenfeld and Falkowski (1997), PAR and CHL(0 m). More details about this model can be found in Scardi (2001). Behrenfeld, M. J., Falkowski, P. G. (1997), Photosynthetic rates derived from satellite-based chlorophyll concentration, Limnology & Oceanography, 42(1), 1–20. Scardi, M. (2001), Advances in neural network modeling of phytoplankton primary production, Ecological Modelling, 146, 33–45.

HF Radar data in the gulf of Trieste

Gridded fields of salinity for 50 N - 67 N, 41,5 W - 61,5 W geographic region (yearly, 2000 - 2016), 29 standard depths

The maximum surface wind speed near cyclone centers for one last calendar month.