Weather and Climate: Notable Research and DiscoveriesKirklandKylePh.dFacts on File
(2017). Five priorities for weather and climate research. Nature, 552, 168-170. https://doi.org/10.1038/d41586-017-08463-3O. Hov, D. Terblanche, S. Jones, P. M. Ruti, and O. Tarasova, "Five priorities for weather and climate research," Nature, vol. 552, no. 7684, pp. 168-...
Temperature data records are sparse over some parts of the world such as the Arctic and Africa; how to account for the induced uncertainty and which are the optimal methods for infilling data in these regions are ongoing topics of investigation42,43. According to recent research, the magnitude ...
Most state-of-the-art approaches for weather and climate modeling are based on physics-informed numerical models of the atmosphere. These approaches aim to model the non-linear dynamics and complex interactions between multiple variables, which are challenging to approximate. Additionally, many such ...
Weather, on the contrary, changes from day to day or even hour to hour.Climate is determined by factors like latitude, altitude, and ocean currents.Weather is influenced by immediate conditions such as wind, pressure, and precipitation.The study of climate is important for understanding global pa...
This article summarizes the progress made in predictability studies of weather and climate in recent years in China, with a main focus on advances in methods to study error growth dynamics and reduce uncertainties in the forecasting of weather and climate. Specifically, it covers (a) advances in...
Figure 1: ClimaX is the first foundation model designed to perform a wide variety of weather and climate modeling tasks. For weather, these tasks include standard forecasting tasks of relevant weather variables like temperature, humidity etc. with various lead-tim...
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Due to limited resolution and inaccurate physical parameterizations, weather and climate models consistently develop biases compared to the observed atmosphere. Using the FV3GFS model at coarse resolution, we propose a method of machine learning corrective tendencies from a hindcast simulation nudged towar...
Many of these scientists have sought to aid COVID-19 response by studying the potential to monitor, forecast, or project disease transmission rates or symptom severity as a function of climate zone, season, meteorological variability, air quality, and other environmental parameters 1-4. The rapid...