Climate sensitivity can be estimated using multiple variables jointly in a multi-component linear regression.
Modeling the U.S. energy system demonstrates several pathways to net-zero CO2 emissions by 2050. The pathway with the lowest cost, 0.2–1.2% of GDP, relies on >80% contribution of renewables.
New climate projections could inform long-term wildfire and water resources management strategies in California and Nevada.
In 1972, Mikhail Ivanovich Budyko used a simple methodology to make climate predictions that remain surprisingly accurate today and that could serve as a new “business-as-usual” scenario.
A comparison of climate models finds that much of the variation in their predictions of global warming arises from differences in how they simulate the response of convective processes to warming.
Analysis of temperature and precipitation extremes in two generations of CMIP climate models revealed similarities in regional climate sensitivities, contrasting with divergent global sensitivities.
Sea ice area in CMIP6 is similar to previous versions while its sensitivity to external forcing is subtly different and closer to observations, but still not in step with global surface temperature.
As weather and climate models grow larger and more data intensive, the amount of energy needed to run them continues to increase. Are researchers doing enough to minimize the carbon footprint of their computing?
Un nuevo modelo permitirá a los modelos climáticos interpretar mejor las reconstrucciones paleoclimáticas derivadas de sedimentos de lagos y podrá mejorar las predicciones de las condiciones climáticas futuras.
By the end of the 21st century, waves will have gotten larger in some ocean basins, particularly the Southern Ocean, climate modeling reveals.