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Downscaling projections of climate change in Sao Tome and Principe Islands, Africa.
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- Author(s): 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
- Source:
Climate Dynamics; May2020, Vol. 54 Issue 9/10, p4021-4042, 22p- Subject Terms:
- Source:
- Additional Information
- Abstract: 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. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Climate Dynamics is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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