Downscaling projections of climate change in Sao Tome and Principe Islands, Africa

• Published in: Climate dynamics 2020-05, Vol.54 (9-10), p.4021-4042
• Main Authors: Chou, Sin Chan, de Arruda Lyra, André, Gomes, Jorge Luís, Rodriguez, Daniel Andrés, Alves Martins, Minella, Costa Resende, Nicole, da Silva Tavares, Priscila, Pereira Dereczynski, Claudine, Lopes Pilotto, Isabel, Martins, Alessandro Marques, Alves de Carvalho, Luís Felipe, Lima Onofre, José Luiz, Major, Idalécio, Penhor, Manuel, Santana, Adérito
• Format: Article
• Language: English
• Subjects: Aquifers; Climate change; Climate models; Climatic changes; Climatology; Computer simulation; Dry season; Earth and Environmental Science; Earth Sciences; Environmental aspects; Forecasts and trends; Future climates; Geophysics/Geodesy; Global climate; Global climate models; Greenhouse effect; Greenhouse gases; Heavy precipitation; Islands; Oceanography; Potential energy; Precipitation; Precipitation variability; Regional climate models; Regional climates; Resolution; River basins; Rivers; Saline water; Saline water intrusion; Salt water intrusion; Saltwater encroachment; Sea level; Sea level rise; Spatial variability; Spatial variations; Temperature
• ISSN: 0930-7575; 1432-0894
• DOI: 10.1007/s00382-020-05212-7

Sao Tome and Principe is a small insular African country extremely vulnerable to rising sea levels and impacts such as inundation, shore line change, and salt water intrusion into underground aquifers. Projections of climate change have considered coarse model resolutions. The objective of this work is to dynamically downscale the global model projections to 4-km resolution and to assess the climate change in the Sao Tome and Principe islands. The global climate projections are provided by the Canadian Earth System Model under two Representative Concentration Pathways greenhouse gas scenarios, RCP4.5 and RCP8.5. The downscaling is produced by the Eta regional climate model. The baseline period is taken between 1971 and 2000, and the future climate period is taken between 2041 and 2070. The 2-m temperature simulations show good agreement with station data. The model simulates temperature more accurately than precipitation. The precipitation simulations systematically show underestimation and delay of the rainy and the dry seasons by about 1 month, a feature inherited from the global climate model. In the middle of the 21st century, projections show the strongest warming in the elevated parts of the Sao Tome Island, especially in February under RCP8.5. Warmer nights and warmer days become more frequent in the islands when compared with those in the present. While under RCP4.5, precipitation increases in the islands; under RCP8.5, it decreases everywhere in both islands. Heavy precipitation rates should increase, especially in the south-southwestern parts of the Sao Tome islands. Detailed spatial variability of the temperature and precipitation changes in the islands can only be revealed at very high spatial model resolution. Implications for the potential energy production from two major river basins are assessed in this work.