This study shows downscaled climate projections that, without strong curbing of emissions, the California Current System (CCS) will undergo significant change this century, including 2–4 °C warming of sea surface temperature and an almost ubiquitous shift to novel conditions

This paper show the mathematical and theoretical background of the machine learning algorithm used in this work, the LSTM. The data used are described and the methodology of framework is presented. It shows the predictions results based on LSTM and comparisons with ERA5 and buoy observations.

This paper based on three implemented Regional Climate Models (RCMs), namely CMCC-CCLM, CNRM-ALADIN52, and GUF-CCLM-NEMO, for RCP4.5 and RCP8.5 scenarios of the 21st century. Atmospheric modelling datasets cover the Reference (1971–2000) and Future (2071–2100) Periods of climate projections. The results produced within this study can be used for investigations in specific locations of the Mediterranean basin within integrated hydrologic/hydrodynamic modelling under projected climate change conditions during the 21st century.

Clean water resources are crucial for societies in order to maintain safety as well as social, ecological and economic progress. As the population grows, agricultural, domestic and industrial activities produce large amounts of wastewaters that can be treated and reused in variety of purposes considering circular economy philosophy. This review presents the challenges and future prospects of wastewater treatment using membrane technologies and is related to SDG 6: Clean water and sanitation.

This chapter advances the UN SDG goals 13, 14, and 15 by examining mathematical computer models of biogeochemical processes of atmosphere, land, and oceans can be represente, used to describe the past, present, and future dynamics of the Earth's carbon cycle

This chapter advances the UN SDG goals 13, 14, and 15 by examining the global distribution of carbon in biomass.

This content aligns with Goal 14: Life under Water by thoroughly exploring African salt lake distribution and microbial diversity

We observe the link between Artificial Intelligence (AI) and Sustainable Development Goals (SDGs). We use automated methodologies to find insights and overlaps between AI and the SDGs. AI-Ethics frameworks need to give more attention to Society and Environment areas. Inclusive action is needed to balance the efforts for solving SDGs by using AI.SDGs 13, 14, and 15 (all related to the Environment area) are not sufficiently addressed.

This paper provides first assessment of nutrient contents in whale faeces prior to their dissolution in seawater, which has overcome the challenges associated with getting reliable estimations of elemental nutrients from whale faeces. By combining measured faecal nutrient concentrations with the best available prey-consumption and prey-assimilation estimates, we calculated the expected contribution of minke whale faeces to nutrient pools in surface waters during summer.

This article focuses on a key industry in ocean governance - tuna fishery - to examine how companies and governments relationship in international fishery negotiations can influence the governance of tuna fishery industry.