To be sure, evaluating global temperature projections are not the only gauge of a model's accuracy. Models can be expected to be accurate on general trends, such as whether global temperatures will warm, overall rainfall increase or hurricanes get stronger. However, when it comes to predicting ...
As climate change will entail new conditions for the built environment, the thermal behaviour of air-conditioned office buildings may also change. Using building computer simulations, the impact of warmer weather is evaluated on the design and performance of air-conditioned office buildings in Australia...
Integrating environmental effects into a bookkeeping model finds an increase in CO2 emissions from land-use change by 14% in 2012–2021. It further shows that state-of-the-art process-based models overestimate the natural terrestrial CO2 sink by 23%. Lea Dorgeist , Clemens Schwingshackl & Jul...
The authors use ground-based records and remote-sensing data to show that late spring frost delays the timing of spring leaf-out in the subsequent year by reducing photosynthetic productivity. Integrating late spring frost into models can increase the accuracy of predictions of spring timings and ca...
(Lax & Phillips,2009). Thus, this approach expands the national-level estimates of climate change opinions to state, county, and congressional district levels with great accuracy. However, to further validate the estimates, internal cross-validations and external validations have been conducted through...
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The magnitude of climate change impacts and the offset effect of different factors still remain unclear and difficult to predict with accuracy. A modelling approach is a common and useful way to project soil erosion under climate change (Li et al., 2011, Salazar et al., 2012). Various soil...
While the direction of projected changes is often similar with time, the magnitude of change is often greater for models forced with RCP8.5 compared to models forced with RCP4.5. In all regions, models forced with RCP8.5 project larger changes during the 2080s (either increases or decreases) ...
The authors use ground-based records and remote-sensing data to show that late spring frost delays the timing of spring leaf-out in the subsequent year by reducing photosynthetic productivity. Integrating late spring frost into models can increase the accuracy of predictions of spring timings and ca...
The pertinence of stochasticity is also discussed in the context of the question of how many bits of useful information are contained in the numerical representations of variables, a question that is critical for the design of next-generation climate models. The accuracy of fluid simulation may be...