4.6 Article

Analysis of the Potential Impact of Climate Change on Climatic Droughts, Snow Dynamics, and the Correlation between Them

Journal

WATER
Volume 14, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/w14071081

Keywords

climate change; drought analysis; statistical corrections; ensemble of scenarios

Funding

  1. Spanish Ministry of Science, Innovation and Universities (Programa Estatal de ICDCI orientado a los Retos de la Sociedad) [RTI2018-101397-B-I00]
  2. GeoERA organization - European Union [GeoE.171.008.TACTIC]
  3. Regional Ministry of Economic Transformation, Industry, Knowledge and Universities of the Regional Government of Andalusia through the postdoc program of the Andalusian Plan for Research Development and Innovation (PAIDI 2021) [POSTDOC_21_00154]

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This paper proposes a methodology to assess the impact of climate change on meteorological and hydrological droughts and analyze their correlations. The study takes into account the dynamics of snow cover area and uses multiple models and techniques to handle uncertainties. The findings reveal a general increase in drought magnitude and duration under future climate scenarios, indicating the importance of considering the effects of climate change on droughts.
Climate change is expected to increase the occurrence of droughts, with the hydrology in alpine systems being largely determined by snow dynamics. In this paper, we propose a methodology to assess the impact of climate change on both meteorological and hydrological droughts, taking into account the dynamics of the snow cover area (SCA). We also analyze the correlation between these types of droughts. We generated ensembles of local climate scenarios based on regional climate models (RCMs) representative of potential future conditions. We considered several sources of uncertainty: different historical climate databases, simulations obtained with several RCMs, and some statistical downscaling techniques. We then used a stochastic weather generator (SWG) to generate multiple climatic series preserving the characteristics of the ensemble scenario. These were simulated within a cellular automata (CA) model to generate multiple SCA future series. They were used to calculate multiple series of meteorological drought indices, the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and a novel hydrological drought index (Standardized Snow Cover Index (SSCI)). Linear correlation analysis was applied to both types of drought to analyze how they propagate and the time delay between them. We applied the proposed methodology to the Sierra Nevada (southern Spain), where we estimated a general increase in meteorological and hydrological drought magnitude and duration for the horizon 2071-2100 under the RCP 8.5 emission scenario. The SCA droughts also revealed a significant increase in drought intensity. The meteorological drought propagation to SCA droughts was reflected in an immediate or short time (1 month), obtaining significant correlations in lower accumulation periods of drought indices (3 and 6 months). This allowed us to obtain information about meteorological drought from SCA deficits and vice versa.

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