Developing resilience through fear and optimal experience of film in an undergraduate course DOI Creative Commons
Michael Everett,

Crystal L. Eustice,

Aaron J. McKim

и другие.

Natural sciences education, Год журнала: 2025, Номер 54(1)

Опубликована: Июнь 1, 2025

Abstract Currently, climate and the environment are focus of much dialogue within postsecondary institutions. The goal this research was to better understand student experiences while enrolled in an undergraduate course centered on systems alongside food, energy, sustainability. Specifically, study explored role three primary factors learning: optimal experience, fear, resilience. Additional dimensions included using film as a pedagogy students engaging both online in‐person. were quantified through survey event‐contingent sampling items where (a) have perceived level skill challenge associated with activity, (b) that quantify (c) develop ways cope these experiences. purpose explore relationships between modality engagement (i.e., or in‐person) well themes. Fear most prevalent factor across modalities For climate‐themed films, concerning levels fear low resilience found. Based results, authors recommend in‐person mediation tactics assist increasing resilience, especially climate‐related content. Mediation activities may include structured problem‐solution can address current narratives.

Язык: Английский

Record High Temperatures in the Ocean in 2024 DOI Creative Commons
Lijing Cheng, John Abraham, Kevin E. Trenberth

и другие.

Advances in Atmospheric Sciences, Год журнала: 2025, Номер unknown

Опубликована: Янв. 10, 2025

Язык: Английский

Процитировано

8

Earth shattered heat records in 2023 and 2024: is global warming speeding up? DOI Creative Commons

Jeff Tollefson

Nature, Год журнала: 2025, Номер 637(8046), С. 523 - 524

Опубликована: Янв. 6, 2025

Язык: Английский

Процитировано

1

Ocean extremes as a stress test for marine ecosystems and society DOI
Kathryn E. Smith, Alex Sen Gupta, Michael T. Burrows

и другие.

Nature Climate Change, Год журнала: 2025, Номер unknown

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

1

Record sea surface temperature jump in 2023–2024 unlikely but not unexpected DOI Creative Commons
Jens Terhaar, Friedrich A. Burger, Linus Vogt

и другие.

Nature, Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Abstract Global ocean surface temperatures were at record levels for more than a year from April 2023 onwards, exceeding the previous in 2015–2016 by 0.25 °C on average between and March 2024 1 . The nearly global extent unprecedented intensity of this event prompted questions about how exceptional it was whether climate models can represent such record-shattering jumps 2 Here we construct observation-based synthetic time series to show that jump sea breaks least is 1-in-512-year under current long-term warming trend (1-in-205-year 1-in-1,185-year event; 95% confidence interval). Without trend, an would have been practically impossible. Using 270 simulations wide range fully coupled models, these successfully simulate temperatures, underpinning models’ usefulness understanding characteristics, drivers consequences events. These model suggest 2023–2024 extreme after which are expected revert trend.

Язык: Английский

Процитировано

1

What made 2023 and 2024 the hottest years in a row? DOI Creative Commons
Shang‐Ping Xie, Ayumu Miyamoto, Pengcheng Zhang

и другие.

npj Climate and Atmospheric Science, Год журнала: 2025, Номер 8(1)

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

1

Variability of solar radiation and cloud cover in the Antarctic Peninsula region DOI

Simona Szymszová,

Kamil Láska, Seong‐Joong Kim

и другие.

Atmospheric Research, Год журнала: 2025, Номер unknown, С. 107940 - 107940

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Quantifying the acceleration of multidecadal global sea surface warming driven by Earth’s energy imbalance DOI Creative Commons
Christopher J. Merchant, Richard P. Allan, Owen Embury

и другие.

Environmental Research Letters, Год журнала: 2025, Номер 20(2), С. 024037 - 024037

Опубликована: Янв. 28, 2025

Abstract Global mean sea surface temperature (GMSST) is a fundamental diagnostic of ongoing climate change, yet there incomplete understanding multi-decadal changes in warming rate and year-to-year variability. Exploiting satellite observations since 1985 statistical model incorporating drivers variability we identify an increasing rise GMSST. This accelerating ocean physically linked to upward trend Earth’s energy imbalance (EEI). We quantify that GMSST has increased by 0.54 ± 0.07 K for each GJ m –2 accumulated energy, equivalent 0.17 ± 0.02 decade ‒1 (W ‒2 ) . Using the isolate from interannual variability, underlying change rises proportion with accumulation 0.06 –1 during 1985–89 0.27 2019–23. While associated El Niño Southern Oscillation triggered exceptionally high GMSSTs 2023 early 2024, 44% (90% confidence interval: 35%–52%) +0.22 difference between peak 2023/24 event 2015/16 unexplained unless acceleration accounted for. Applying indicative future scenarios EEI based on recent trends, increases are likely be faster than would expected linear extrapolation past four decades. Our results provide observational evidence increase inferred over 40 years will exceeded within next 20 years. Policy makers wider society should aware global decades poor guide come, underscoring urgency deep reductions fossil-fuel burning.

Язык: Английский

Процитировано

0

Desert dust and photovoltaic energy forecasts: Lessons from 46 Saharan dust events in Hungary (Central Europe) DOI Creative Commons
György Varga, Fruzsina Gresina, András Gelencsér

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2025, Номер 212, С. 115446 - 115446

Опубликована: Янв. 30, 2025

Язык: Английский

Процитировано

0

Aerosol trends dominate over global warming-induced cloud feedback in driving recent changes in marine low clouds DOI Creative Commons
Yang Cao, Hao Wang, Yannian Zhu

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

Abstract Over the past two decades, anthropogenic emission reductions and global warming have impacted marine low clouds through aerosol-cloud interactions (ACI) cloud feedback, yet their quantitative contributions remain unclear. This study employs a deep learning model (CNNMet−Nd) Community Earth System Model version 2 (CESM2) to disentangle these effects. CNNMet−Nd reveals that aerosol-driven changes in droplet number concentration dominate near-global shortwave radiative effect (ΔCRE), contributing 0.42 ± 0.08 Wm⁻² per 20 years, compared 0.05 0.37 from feedback. CESM2 effectively reproduces predominant influence of aerosol on ΔCRE by CNNMet−Nd, lending us confidence for stronger estimate effective forcing due ACI (ERFaci) -1.29 since preindustrial era. These findings highlight critical role shaping trends its broader climate implications, especially under ongoing reduction efforts.

Язык: Английский

Процитировано

0

Measuring the wildfire risk of California real estate with spatiotemporal convolutional neural networks DOI
Richard H. Stanton,

Nancy E. Wallace,

Paulo Issler

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0