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

Land surface dynamics and meteorological forcings modulate land surface temperature characteristics DOI Creative Commons
Oluwafemi E. Adeyeri, Akinleye Folorunsho, Kayode I. Ayegbusi

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105072 - 105072

Published: Nov. 21, 2023

This study examines the effect of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics (LVCET) on surface temperature (LST) distribution in West Africa (WA). We employ fourteen machine-learning models, which preserve nonlinear relationships, to downscale LST other predictands while preserving geographical variability WA. Our results showed that random forest model performs best downscaling predictands. is important for sub-region since it has limited access mainframes power multiplex algorithms. In contrast northern regions, southern regions consistently exhibit healthy vegetation. Also, areas with unhealthy coincide hot clusters. The positive Normalized Difference Vegetation Index (NDVI) trends Sahel underscore rainfall recovery subsequent Sahelian greening. southwesterly winds cause upwelling cold waters, lowering WA highlighting cooling influence water bodies LST. Identifying elevated paramount prioritizing greening initiatives, our underscores importance considering LVCET factors urban planning. Topographic slope-facing angles, diurnal anisotropic all contribute variations LST, emphasizing need a holistic approach when designing resilient sustainable landscapes.

Language: Английский

Citations

32
Projection of drought-flood abrupt alternation in a humid subtropical region under changing climate DOI
Rong Wang, Xianghu Li, Qi Zhang

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 624, P. 129875 - 129875

Published: June 28, 2023

Language: Английский

Citations

26
Minimizing uncertainties in climate projections and water budget reveals the vulnerability of freshwater to climate change DOI Creative Commons
Oluwafemi E. Adeyeri, Wen Zhou, Christopher E. Ndehedehe

et al.

One Earth, Journal Year: 2024, Volume and Issue: 7(1), P. 72 - 87

Published: Jan. 1, 2024

Global water scarcity threatens agriculture, food security, and human sustainability. Hence, understanding changes in terrestrial storage (WS) is crucial. By utilizing climate models, reanalysis, satellite data, we demonstrate the effectiveness of multivariate bias correction technique facilitating precise WS representation while ensuring robust budget closure. Historical data indicate seasonal changes, where forested basins exhibit a surplus December-January-February season, with reversal June-July-August-September season. Non-forested display varied patterns influenced by geographical location land use type. Future projections increased deficits most Southern Hemisphere under middle-road (SSP 245) scenario wetter conditions regional rivalry 370) scenario. Weather systems governing vary season basin, resulting inconsistent moisture intake into basins. These findings underscore intricate interplay between transport, characteristics, WS, highlighting need to understand these complex interactions for effective resource management strategies changing climates.

Language: Английский

Citations

16
Global vegetation, moisture, thermal and climate interactions intensify compound extreme events DOI Creative Commons
Oluwafemi E. Adeyeri, Wen Zhou, Christopher E. Ndehedehe

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169261 - 169261

Published: Dec. 12, 2023

Compound extreme events, encompassing drought, vegetation stress, wildfire severity, and heatwave intensity (CDVWHS), pose significant threats to societal, environmental, health systems. Understanding the intricate relationships governing CDVWHS evolution their interaction with climate teleconnections is crucial for effective adaptation strategies. This study leverages remote sensing, reanalysis data, models analyze during historical (1982–2014), near-future (2028–2060), far-future (2068–2100) periods under two Shared Socioeconomic Pathways (SSP; 245 585). Our results show that reduced health, unfavorable temperature conditions, low moisture conditions have negligible effects on density. However, they worsen of heatwaves increase risk wildfires. Wildfires can persist when thermal are poor despite favorable levels. For example, adequate availability, we link 2012 Siberian in Ob basin anomalous negative concurrent thermal-moisture conditions. In contrast, Amazon experiences exceptional drought associated same year. A comparative analysis North American fires reveals distinct burned area anomalies due variations density fuel. The lower positive areas because density, which amount Furthermore, examine basin-specific variability related compound CDVWHS, revealing primary modes through teleconnection patterns. Moreover, a substantial magnitude severity emerges between near far future SSP 585. underscores urgency targeted actions enhance ecosystem resilience safeguard vulnerable communities from impacts. Identifying hotspots comprehending complex environmental factors essential developing strategies changing climate.

Language: Английский

Citations

18
Precipitation exacerbates spatial heterogeneity in the propagation time of meteorological drought to soil drought with increasing soil depth DOI Creative Commons
Chen Hu, Jun Xia, Dunxian She

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(6), P. 064021 - 064021

Published: May 9, 2024

Abstract The propagation of meteorological droughts to soil poses a substantial threat water resources, agricultural production, and social systems. Understanding drought process is crucial for early warning mitigation, but mechanisms the from drought, particularly at varying depths, remain insufficiently understood. Here, we employ maximum correlation coefficient method random forest (RF) model investigate spatiotemporal patterns drivers time (PT) four different depths across China 1980 2018. Our findings reveal consistently higher PT in northern lower southern with more pronounced spatial heterogeneity increasing depth. Furthermore, identify temperature precipitation as determinants surface deeper layers, respectively. Additionally, emerges dominant factor influencing changes between layers. study highlights discernible shift depth increases significant impact on exacerbating PT. This contributes an enhanced comprehension which can aid establishing practical mitigation measures

Language: Английский

Citations

6
Propagation of Meteorological Drought to Agricultural and Hydrological Droughts in the Tropical Lancang–Mekong River Basin DOI Creative Commons
Gan-Lin Feng, Yaoliang Chen, Lamin R. Mansaray

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(24), P. 5678 - 5678

Published: Dec. 9, 2023

In the past several decades, drought events have occurred frequently around world. However, research on propagation of has not been adequately explored. This study investigated process from meteorological to agricultural (PMAD) and hydrological (PMHD) using a 72-year reanalysis dataset in tropical Lancang–Mekong River Basin. Firstly, we used new method—Standardized Drought Analysis Toolbox—to construct indices. Then, linear method (Pearson correlation analysis) nonlinear (mutual information) were investigate process. Cross-wavelet analysis wavelet coherence employed explore statistical relationship among three types. Finally, random forest was applied quantify major factors response time (DRT). The results revealed following: (1) both methods exhibited strong temporal spatial consistency for PMAD PMHD, with relationships being stronger than ones. (2) DRTs PMHD 1–2 months 3–5 months, respectively. Significant differences existed DRT between dry season rainy season. (3) A divergent pattern proportion observed PMHD. (4) correlations specific periods each sub-region; (5) Hydrometeorological contributed most DRT, followed by terrain land cover findings this deepened our understanding spatial–temporal multiple types transboundary river basin.

Language: Английский

Citations

11
Seed quality as a proxy of climate-ready orphan legumes: the need for a multidisciplinary and multi-actor vision DOI Creative Commons
Alma Balestrazzi, Cinzia Calvio, Anca Macovei

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Aug. 1, 2024

In developing countries, orphan legumes stand at the forefront in struggle against climate change. Their high nutrient value is crucial malnutrition and chronic diseases prevention. However, as ‘orphan’ definition suggests, their seed systems are still underestimated production scanty. Seed priming an effective, sustainable strategy to boost quality for which up-to-date guidelines required guarantee reliable reproducible results. How far we along this path? What do expect from priming? This brings other relevant questions. socio-economic relevance of Mediterranean Basin? potentiate a broader cultivation specific regions? The case study BENEFIT-Med (Boosting technologies towards resilient farming systems) project, developed by multidisciplinary research networks, envisions roadmap producing new knowledge innovative improve productivity through priming, with long-term objective promoting sustainability food security for/in climate-sensitive regions. review highlights existing drawbacks that must be overcome before could reach state ‘climate-ready crops’. Only integration biology, technology agronomy, barrier between bench local agricultural fields may overcome, generating high-impact technical innovations legumes. We intend provide powerful message encourage future line United Nations Agenda 2030 Sustainable Development.

Language: Английский

Citations

4
Unravelling spatiotemporal propagation processes among meteorological, soil, and evaporative flash droughts from a three-dimensional perspective DOI Creative Commons
Chen Hu, Dunxian She, Gangsheng Wang

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 308, P. 109294 - 109294

Published: Jan. 10, 2025

Language: Английский

Citations

0
Reply on RC2 DOI Creative Commons
Pablo A. Mendoza

Published: Jan. 16, 2025

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
Reply on RC1 DOI Creative Commons
Pablo A. Mendoza

Published: Jan. 16, 2025

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