Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis DOI Creative Commons

Fabián Lema,

Pablo A. Mendoza, Nicolás Vasquéz

et al.

Published: Sept. 3, 2024

Abstract. Hydrological drought is one of the main hydroclimatic hazards worldwide, affecting water availability, ecosystems and socioeconomic activities. This phenomenon commonly characterized by Standardized Streamflow Index (SSI), which widely used because its straightforward formulation calculation. Nevertheless, there limited understanding what SSI actually reveals about how climate anomalies propagate through terrestrial cycle. To find possible explanations, we implemented SUMMA hydrological model coupled with mizuRoute routing in six hydroclimatically different case study basins located on western slopes extratropical Andes, examined correlations between (computed from models for 1, 3 6-month time scales) potential explanatory variables – including precipitation simulated catchment-scale storages aggregated at scales. Additionally, analyzed impacts adopting scales propagation analyses specific events meteorological to soil moisture focus their duration intensity. The results reveal that choice scale has larger effects rainfall-dominated regimes compared snowmelt-driven basins, especially when fluxes are longer than 9 months. In all analyzed, strongest relationships (Spearman rank correlation values over 0.7) were obtained using aggregations compute 9–12 months variables, excepting aquifer storage basins. Finally, show trajectories Precipitation (SPI), Soil Moisture (SSMI) may change drastically selection scale. Overall, this highlights need caution selecting standardized indices associated scales, since event characterizations, monitoring analyses.

Language: Английский

A new Multivariate Drought Severity Index to identify short-term hydrological signals: case study of the Amazon River basin DOI Creative Commons
Artur Leńczuk, Christopher E. Ndehedehe, Anna Kłos

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 315, P. 114464 - 114464

Published: Oct. 15, 2024

Language: Английский

Citations

2
Drought intensification in Brazilian catchments: implications for water and land management DOI Creative Commons
André S. Ballarin, Mijael Rodrigo Vargas Godoy, Masoud Zaerpour

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(5), P. 054030 - 054030

Published: April 12, 2024

Abstract Droughts exert widespread impacts on both natural and social systems, there is accumulating evidence that this situation may worsen in the context of global warming. Despite importance assessing changes droughts to understand their potential future society, studies are unevenly distributed worldwide. In study, utilizing bias-corrected CMIP6 simulations a standard precipitation-evaporation index based approach, we quantified expected drought properties across 735 Brazilian catchments under SSP2-4.5 SSP5-8.5 scenarios. Beyond evaluating statistical droughts, assessed occurrence land use water demand perspectives propose new framework better link with long- short-term conditions precipitation ( P ) evapotranspiration PET ). Our results indicate events projected become more frequent severe future, high model agreement. According scenario, at least half cropland pasture areas will experience an increase over 30% by end century. Furthermore, among 85% nearly 90% also exhibit increased demand, which likely exacerbate scarcity. The investigation relationship between climate variables suggests augmented long-term average -variability, but not necessarily . For instance, 50% evaluated intensification even increases mean We believe study contribute (a) improve resiliency helping achieve objectives National Water Security Plan (b) deepen our understanding uncertain future.

Language: Английский

Citations

1
Changes in Drought Characteristics and Heatwave Propagation Over Groundwater Basins in Australia DOI Creative Commons
Christopher E. Ndehedehe, Oluwafemi E. Adeyeri

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 28, 2024

Language: Английский

Citations

1
Improving drought monitoring using climate models with bias‐corrected under Gaussian mixture probability models DOI

Rubina Naz,

Zulfiqar Ali, Veysi Kartal

et al.

International Journal of Climatology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 28, 2024

Abstract Global climate models (GCMs) are extensively used to calculate standardized drought indices. However, inaccuracies in GCM simulations and uncertainties inherent the standardization methodology limit precision of evaluations. The objective this research is remove bias GCMs for improving monitoring assessment. Consequently, article proposes a new framework index under ensemble GCMs—Multi‐Model Quantile Mapped Standardized Precipitation Index (MMQMSPI). In accordance (SPI), second stage derives by assessing feasibility parametric nonparametric during standardization. application, we 18 from Coupled Model Intercomparison Project Phase 6 (CMIP6) data precipitation across 32 grid points within Tibetan Plateau region. comparative findings reveal that integration KCGMD most suitable choice compared other best‐fitted univariate distributions both features proposed framework. research, assess implications evaluating future patterns years 2015–2100 using seven different time periods three scenarios. Temporal behavior clearly shows monthly variations pattern MMQMSPI, these differ on each scale, but drastic change can be seen over long term, i.e., extreme dry wet conditions, with higher probability all

Language: Английский

Citations

1
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis DOI Creative Commons

Fabián Lema,

Pablo A. Mendoza, Nicolás Vasquéz

et al.

Published: Sept. 3, 2024

Abstract. Hydrological drought is one of the main hydroclimatic hazards worldwide, affecting water availability, ecosystems and socioeconomic activities. This phenomenon commonly characterized by Standardized Streamflow Index (SSI), which widely used because its straightforward formulation calculation. Nevertheless, there limited understanding what SSI actually reveals about how climate anomalies propagate through terrestrial cycle. To find possible explanations, we implemented SUMMA hydrological model coupled with mizuRoute routing in six hydroclimatically different case study basins located on western slopes extratropical Andes, examined correlations between (computed from models for 1, 3 6-month time scales) potential explanatory variables – including precipitation simulated catchment-scale storages aggregated at scales. Additionally, analyzed impacts adopting scales propagation analyses specific events meteorological to soil moisture focus their duration intensity. The results reveal that choice scale has larger effects rainfall-dominated regimes compared snowmelt-driven basins, especially when fluxes are longer than 9 months. In all analyzed, strongest relationships (Spearman rank correlation values over 0.7) were obtained using aggregations compute 9–12 months variables, excepting aquifer storage basins. Finally, show trajectories Precipitation (SPI), Soil Moisture (SSMI) may change drastically selection scale. Overall, this highlights need caution selecting standardized indices associated scales, since event characterizations, monitoring analyses.

Language: Английский

Citations

0