Evidence and Controls of the Acceleration of the Hydrological Cycle Over Land

Water Resources Research, Год журнала: 2023, Номер 59(8)

Опубликована: Авг. 1, 2023

Abstract Investigating modifications in the hydrological cycle is essential to understand impacts of climate change on ecosystems. This study assesses velocity water over land at global scale, whereas previous studies have mostly focused changes atmospheric cycle. The acceleration quantified by a decrease average residence time (RT) first meter soil. soil RT shown be sensitive texture and seasonality hydroclimatic variables. Despite substantial local variability, most RTs are range 50–300 days. mean declined rate −2.30 −0.36 days decade −1 (−1.6 1.0 nine models) from 2001 2020 as measured reanalysis CMIP6 simulations for historical scenario, respectively, which corresponds −6.8 −1.1 °C when expressed per degree warming land. projected continue −1.35 (−3.4 0.0 or −2.2 during period 2015–2100 under extreme emission scenario: SSP 585. Changes precipitation dominantly drive terrestrial compared evapotranspiration. Rising temperatures increasing carbon dioxide opposite effects speed with compensatory roles keeping relatively unchanged absence PR trends.

Язык: Английский

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Climate risks and vulnerabilities of the Arabica coffee in Brazil under current and future climates considering new CMIP6 models

The Science of The Total Environment, Год журнала: 2023, Номер 907, С. 167753 - 167753

Опубликована: Окт. 11, 2023

Язык: Английский

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Assessing the impact of climate change on soybean production in Argentina

Climate Services, Год журнала: 2024, Номер 34, С. 100458 - 100458

Опубликована: Апрель 1, 2024

Soy is the most important agricultural commodity in Argentina, with relevance public revenues and international reserves accumulation. However, a proper impact evaluation of future losses context climate change has not yet been developed. Therefore, aim this paper to provide estimates for macroeconomic adaptation policies. By means multiple partial regression, relation between total country soybean yields different combinations 28 territorial weather stations was estimated period 2001–2021. With optimal model, output projected using rainfall temperature data from 150 models 4 scenarios Copernicus database during 2022–2042. Results show strong statistical relationship levels maximum yields, explaining on average 91.2% yield variation. The projections showed that general four at 3.8% higher than current levels, 30% lower 70% values production. Variability analysis an increase frequency intensity extreme negative events aggregate past: relative loss 3.6% production (USD million $13,000) compared 2.3% historical $7,492). main application estimation macro-fiscal long-term budgetary fiscal planning, parsimonious approach open-access allows permanent actualization.

Язык: Английский

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Performance evaluations of CMIP6 model simulations and future projections of rainfall and temperature in the Bale Eco-Region, Southern Ethiopia

Theoretical and Applied Climatology, Год журнала: 2024, Номер 155(6), С. 5069 - 5092

Опубликована: Март 21, 2024

Язык: Английский

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Suitable areas for temperate fruit trees in a Brazilian hotspot area: Changes driven by new IPCC scenarios

European Journal of Agronomy, Год журнала: 2024, Номер 155, С. 127110 - 127110

Опубликована: Фев. 15, 2024

Язык: Английский

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