Future Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models

被引:26
|
作者
Campozano, Lenin [1 ]
Ballari, Daniela [2 ]
Montenegro Ambrosi, Martin [3 ]
Manuel Aviles, Alex [3 ]
机构
[1] Escuela Politec Nacl, Dept Ingn Civil & Ambiental, Quito, Ecuador
[2] Univ Azuay, Fac Ciencia & Tecnol, IERSE, Cuenca, Ecuador
[3] Univ Cuenca, Fac Ciencias Quim, Cuenca, Ecuador
关键词
climate change; weather research; forecasting models; climate extremes; spatial-temporal projections; tropical region; CLIMATE-CHANGE; EL-NINO; CENTRAL-AMERICA; SOUTH-AMERICA; PRECIPITATION; PROJECTIONS; RAINFALL; MULTIMODEL; EXTREMES; ENSO;
D O I
10.3389/feart.2020.00017
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Droughts are one of the most spatially extensive disasters that are faced by societies. Despite the urgency to define mitigation strategies, little research has been done regarding droughts related to climate change. The challenges are due to the complexity of droughts and to future precipitation uncertainty from Global Climate Models (GCMs). It is well-known that climate change will have more impact on developing countries. This is the case for Ecuador, which also has the additional challenges of lacking meteorological drought studies covering its three main regions: Coast, Highlands, and Amazon, and of having an intricate orography. Thus, this study assesses the spatio-temporal characteristics of present and future droughts in Ecuador under Representative Concentrations Pathways (RCP) 4.5 and 8.5. The 10 km dynamically downscaled products (DGCMs) from Coupled Model Intercomparison Project 5 (CMIP5) was used. The Standardized Precipitation Index (SPI) for droughts was calculated pixel-wise for present time 1981-2005 and for future time 2041-2070. The results showed a slightly decreasing trend for future droughts for the whole country, with a larger reduction for moderate droughts, followed by severe and extreme drought events. In the Coast and Highland regions, the intra-annual analysis showed a reduction of moderate and severe future droughts for RCP 4.5 and for RCP 8.5 throughout the year. Extreme droughts showed small and statistically non-significant decreases. In the Amazon region, moderate droughts showed increases from May to October, and decreases for the rest of the year. Additionally, severe drought increases are expected from May to December, and decreases from January to April. Finally, extreme drought increases are expected from January to April, with larger increases in October and November. Thus, in the Amazon, the rainy period showed a decreasing trend of droughts, following the wetter in wet- and drier in dry paradigm. Climate change causes decision-making process and calls for adaptation strategies being more challenging. In this context, our study has contributed to better mapping the space-time evolution of future drought risk in Ecuador, thus providing valuable information for water management and decision making as Ecuador faces climate change.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Future ocean acidification in the Canada Basin and surrounding Arctic Ocean from CMIP5 earth system models
    Steiner, N. S.
    Christian, J. R.
    Six, K. D.
    Yamamoto, A.
    Yamamoto-Kawai, M.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2014, 119 (01) : 332 - 347
  • [42] Advances in climate models from CMIP3 to CMIP5 do not change predictions of future habitat suitability for California reptiles and amphibians
    Wright, Amber N.
    Schwartz, Mark W.
    Hijmans, Robert J.
    Shaffer, H. Bradley
    CLIMATIC CHANGE, 2016, 134 (04) : 579 - 591
  • [43] Advances in climate models from CMIP3 to CMIP5 do not change predictions of future habitat suitability for California reptiles and amphibians
    Amber N. Wright
    Mark W. Schwartz
    Robert J. Hijmans
    H. Bradley Shaffer
    Climatic Change, 2016, 134 : 579 - 591
  • [44] Future climate and runoff projections across South Asia from CMIP5 global climate models and hydrological modelling
    Zheng, Hongxing
    Chiew, Francis H. S.
    Charles, Steve
    Podger, Geoff
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2018, 18 : 92 - 109
  • [45] Quantitative assessment of AOD from 17 CMIP5 models based on satellite-derived AOD over India
    Misra, Amit
    Kanawade, Vijay P.
    Tripathi, Sachchida Nand
    ANNALES GEOPHYSICAE, 2016, 34 (08) : 657 - 671
  • [46] Future humidity trends over the western United States in the CMIP5 global climate models and variable infiltration capacity hydrological modeling system
    Pierce, D. W.
    Westerling, A. L.
    Oyler, J.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2013, 17 (05) : 1833 - 1850
  • [47] Spring and summer precipitation changes from 1880 to 2011 and the future projections from CMIP5 models in the Yangtze River Basin, China
    Deng, Hanqing
    Luo, Yong
    Yao, Yao
    Liu, Chun
    QUATERNARY INTERNATIONAL, 2013, 304 : 95 - 106
  • [48] Future projection of Indian summer monsoon variability under climate change scenario: An assessment from CMIP5 climate models
    Sharmila, S.
    Joseph, S.
    Sahai, A. K.
    Abhilash, S.
    Chattopadhyay, R.
    GLOBAL AND PLANETARY CHANGE, 2015, 124 : 62 - 78
  • [49] Analysing the future trends of foehn-enabling synoptic patterns over two valleys in the Eastern Alps in CMIP5 EURO-CORDEX models
    Maier, Philipp
    Klisho, Tatiana
    Formayer, Herbert
    Lehner, Fabian
    THEORETICAL AND APPLIED CLIMATOLOGY, 2025, 156 (03)
  • [50] Spatio-Temporal Evaluation of Water Storage Trends from Hydrological Models over Australia Using GRACE Mascon Solutions
    Yang, Xinchun
    Tian, Siyuan
    Feng, Wei
    Ran, Jiangjun
    You, Wei
    Jiang, Zhongshan
    Gong, Xiaoying
    REMOTE SENSING, 2020, 12 (21) : 1 - 26