Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106500 - 106500
Published: April 1, 2025
Language: Английский
Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106500 - 106500
Published: April 1, 2025
Language: Английский
Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)
Published: April 7, 2025
Abstract As global warming intensifies, extreme heat events, especially those occurring simultaneously or sequentially in multiple regions, are becoming more frequent. This highlights the growing need to analyze stress from perspectives of human health and spatiotemporal correlations. Wet-Bulb Globe Temperature (WBGT) is a well-established indicator closely linked health. However, its reliance on specialized measurements resource-intensive computations limits widespread use, particularly for researchers without an earth sciences background. To address this, we adopted simplified WBGT (sWBGT), which effectively simulates cooling through sweating, generate 2° resolution dataset daily maximum sWBGT 1940 2022. fills critical gap long-term, global-scale data. Additionally, employed climate network methods innovatively explore teleconnections providing tool reveal their relationships supporting development effective protection strategies.
Language: Английский
Citations
0Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)
Published: April 22, 2025
Abstract Climate pledges are a key pathway for achieving temperature control but also exert profound cascading effects on the global Earth system. Evaluating such often requires land change forecast products. However, current products all based shared socioeconomic pathways (SSPs) and representative concentration (RCPs). We proposed comprehensive approach to generating 2100 system maps under 1.5 °C climate scenario baseline by harmonizing Global Change Analysis Model (GCAM), Globeland30, Land-N2N model. The exhibit spatial resolution of 1 km consist 30 types, reflecting local high, medium, low densities cover types. Additionally, we evaluated using kappa coefficient figure merit (FoM). average FoM values across basins were 83.14% 8.48%, respectively, demonstrating reliability model in simulating changes. dataset provides finer quantitative support mitigation essential data related research.
Language: Английский
Citations
0Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106500 - 106500
Published: April 1, 2025
Language: Английский
Citations
0