An integrated approach for evaluating climate change risks: a case study in Suriname

This paper combines long-term state-of-the-art climate projections and indices to provide detailed insights into the future climate of Suriname to facilitate comprehensive information of areas and sectors at high climate risk for political decision-making. The study analyses Suriname's historical climate (1990-2014) and provides climate projections for three time horizons (2020-2044, 2045-2069, 2070-2094) and two emissions scenarios (intermediate/SSP2-4.5 and severe/SSP5-8.5). Coupled Model Intercomparison Project (CMIP6) modeling is used to analyze changes in sea level, temperature, precipitation, relative humidity, and winds. In addition, risk impact chains were produced for the country's four most important socio-economic sectors: agriculture and fisheries, forestry, water, and infrastructure. Results show the temperature is expected to increase for all regions and timeframes, reaching warming up to 6 degrees C in the southern region in the long-term future (2070-2094). Projections point towards a reduction in precipitation in the southwest and coastal regions and a rise in mean sea level. Regarding risk, Paramaribo and Wanica face the highest climate risk. Coronie and Nickerie face the least climate risk. These regions remain the most and least vulnerable in both the SSP2-4.5 and SSP5-8.5 scenarios, but overall values of their risk indices increase substantially over time

Multi-platform experiments, numerical simulations and data science techniques for generation of new altimetric products: focus on mesoscale and sub- mesoscale variability (MANATEE – OSTST proposal)

Trabajo presentado en la Ocean Surface Topography Science Team Meeting (OSTST), celebrada online del 19 al 23 de octubre de 2020

An integrated approach for evaluating climate change risks: a case study in Suriname

This paper combines long-term state-of-the-art climate projections and indices to provide detailed insights into the future climate of Suriname to facilitate comprehensive information of areas and sectors at high climate risk for political decision-making. The study analyses Suriname's historical climate (1990-2014) and provides climate projections for three time horizons (2020-2044, 2045-2069, 2070-2094) and two emissions scenarios (intermediate/SSP2-4.5 and severe/SSP5-8.5). Coupled Model Intercomparison Project (CMIP6) modeling is used to analyze changes in sea level, temperature, precipitation, relative humidity, and winds. In addition, risk impact chains were produced for the country's four most important socio-economic sectors: agriculture and fisheries, forestry, water, and infrastructure. Results show the temperature is expected to increase for all regions and timeframes, reaching warming up to 6 degrees C in the southern region in the long-term future (2070-2094). Projections point towards a reduction in precipitation in the southwest and coastal regions and a rise in mean sea level. Regarding risk, Paramaribo and Wanica face the highest climate risk. Coronie and Nickerie face the least climate risk. These regions remain the most and least vulnerable in both the SSP2-4.5 and SSP5-8.5 scenarios, but overall values of their risk indices increase substantially over time

Finescale horizontal and vertical currents from in-situ observations in preparation for SWOT altimeter mission

Trabajo presentado en la Ocean Sciences Meeting, celebrada en San Diego del 16 al 21 de febrero de 2020.Horizontal and vertical motions associated with mesoscale (10-100 km) and submesoscale (1-10 km) features, such as fronts, meanders, eddies and filaments, play a critical role in the distribution of heat, fresh water and biogeochemical tracers in the ocean. Integrating our understanding of these processes to climate scales is one of the key challenges for earth observation. In this presentation we review some of the results obtained from the synergy of in-situ (CTD, glider, Argo, XBT, ADCP, HF radar, drifters, etc.) and satellite observations (altimetry, SST and ocean color) with supporting numerical simulations during dedicated multi-platform field experiments in the western Mediterranean Sea aimed at estimating finescale horizontal and vertical currents.We conclude with the lessons learned in terms of advantages and limitations of the present approaches that combine satellite data with other cutting-edge and well established observational techniques and numerical modeling. Future directions in preparation for SWOT are also addressed, including artificial intelligence and machine learning, and the need to observe and resolve a range of scales that will contribute to enhancing our understanding of finescale ocean currents associated with meso- and submesoscale features, with impacts on longer climatic scales

Mesoscale and sub-mesoscale vertical exchanges from multi-platform experiments and supporting modelling simulations: anticipating SWOT launch (PRE-SWOT)

This dataset includes published and unpublished in-situ data collected during the PRE-SWOT multi-platform experiment. For details see readme file and cruise report (hdl.handle.net/10261/172644 dx.doi.org/10.20350/digitalCSIC/8584).The PRE-SWOT experiment was conducted onboard R/V García del Cid between 5 and 17 May 2018 in the southern region of the Balearic Islands (western Mediterranean Sea). PRE-SWOT aimed at anticipating the daily high-resolution 2D SSH fields that Surface Water & Ocean Topography (SWOT) will provide during the fast sampling phase after launch in selected areas of the global ocean. This experiment is a contribution to the preparatory SWOT cal/val activities and was coordinated with the PROTEUS-SWOT cruise (R/V Beautemps-Beauprè). The PRE-SWOT project (CTM2016-78607-P) is funded by the Spanish Research Agency and the European Regional Development Fund (AEI/FEDER, UE).Spanish Research Agency and the European Regional Development Fund (AEI/FEDER, UE).Peer reviewe