Skip to content
Open access

Future Drought Under Climate Change: A Multi-Model Comparison of SPI and SPEI in the Western Black Sea Basin, Türkiye

Oct 2026 · Atmosphere · 0 citations

Abstract

Because of the increasing negative effects of drought on sectors such as water resources, the economy and agriculture, there is a strong need to study drought and its projections. Given the importance of studying different scenarios regarding drought and climate change, this study presents an integrated modelling framework to generate future drought projections for the Western Black Sea Basin, Türkiye, under four Shared Socioeconomic Pathway (SSP) scenarios derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Monthly precipitation data from seven General Circulation Models—ACCESS-CM2, CanESM5, CNRM-CM6-1, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-LR and MRI-ESM2-0—were statistically downscaled to 31 meteorological observation stations using a Multivariate Adaptive Regression Splines (MARS) approach, trained over the 1979–2014 period. Precipitation records from all 32 available meteorological stations were quality-controlled, and the 31 stations with continuous temperature records were retained for the full analysis, so that both indices could be computed at the same locations. Systematic biases in the downscaled outputs were subsequently corrected using the Quantile Delta Mapping (QDM) method, an essential step that simultaneously reduces distributional errors and preserves the future climate change signal. Both the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) were computed at 3-, 6- and 12-month scales, with distribution parameters estimated once over the 1979–2014 window of the bias-corrected model series and held fixed for 2015–2100 so that baseline and future statistics remain comparable. The two indices yield markedly different projections. Although the number of drought events falls, the share of months below the moderate-drought threshold at the 12-month scale rises from 16.5% in the baseline to 47.0% by 2061–2100 under SSP5-8.5 for the SPI and to 88.4% for the SPEI. All 217 station–GCM combinations show the SPEI as the drier index in every scenario and period. The reason is the temperature term: under SSP5-8.5, basin-mean precipitation changes by −20 mm yr−1 by the late century while potential evapotranspiration rises by +192 mm yr−1, so that about 91% of the change in the climatic water balance is attributable to evaporative demand rather than to rainfall. What changes is therefore not how often drought occurs but how long it lasts and how much deficit it accumulates. Projections under SSP1-2.6 indicate substantially less severe drought conditions than those under the higher-emission pathways at every station, although drought exposure still increases relative to the baseline.

Read PDF

Similar papers

Open access Aug 2026

Integrating Observational Datasets and CMIP6 Projections for Multi-Scale Drought Characterization: Evidence from Western Türkiye

Although drought is recognized as one of the major hydroclimatic hazards affecting the Mediterranean Basin, local-scale assessments to support planning for its agricultural, hydrological, and food security impacts remain limited. This study investigates historical and future drought dynamics in Manisa (Western Türkiye)...

Sena Aydemir, C. Hocalar, Kürşat Şekerci et al. · 1 citation · ⚡1
Open access Sep 2026

Hydrological Droughts in the Carpathian Basin: From Historical Evidence to Future Risk under CMIP6 Climate Scenarios

This study extends a multi-index (SPI, STI, SPEI, SDI) assessment of hydrological drought across the Carpathian Basin (1961–2024, 36 stations) with new future projections for the Danube River at the Bezdan station under CMIP6 climate scenarios. Historical analysis shows that precipitation (SPI) has remained largely sta...

Igor Leščešen · 0 citations
Open access Oct 2026

Assessing Global Drought Trends Under Climate Change: A Comparative Analysis of Four Drought Indices Across SSP Scenarios

As climate change intensifies, global droughts are becoming more frequent and severe, making the assessment of future drought trends essential for disaster risk reduction and adaptation. This study examines the spatiotemporal patterns of global drought over the historical period (1850–2014) and under four Shared Socioe...

Jing-Wen Cui, Yangxiaoyue Liu · 0 citations
Open access Aug 2026

Quantifying Future Drought Intensity and Frequency: A Multi-Scenario Study Using SPI, PDSI, and LPDF in the Mid-Atlantic Region of the US

Drought is a natural hazard characterized by gradual onset and prolonged precipitation deficit. With climate change intensifying precipitation variability, accurate drought assessment is critical for effective water resource management and mitigation. Focusing on Maryland in the Mid-Atlantic region of the United States...

Majid Mirzaei, Adel Shirmohammadi, P. Leisnham et al. · 0 citations
Open access Sep 2026

PROJECTED CLIMATE CHANGE AND HYDROCLIMATIC EXTREMES BASED ON THE CMIP6 MULTI-MODEL ENSEMBLE: A CASE STUDY OF THE ARAL–SYR DARYA BASIN

The Aral–Syr Darya Basin, a complex mountain–plain river system, is already experienc-ing strong climatic and anthropogenic stress affecting water security. This study analyzes observed climatic changes and provides a probabilistic assessment of future climate con-ditions in the region. The analysis is based on climate...

N. Rakhmatulla, Zhanar K. Naurozbayeva, S. Maznev et al. · 0 citations
Open access Aug 2026

Assessment of future meteorological droughts in Iran

Climate change amplifies the risk of hydroclimatic extremes, posing significant challenges for arid and semi-arid regions vulnerable to temperature and precipitation variability. This study projects future meteorological drought in Iran under different climate change scenarios, focusing on two key objectives: (1) evalu...

Babak Ghazi, Hossin Salehi, M. Turco et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.