[HTML][HTML] Wheat root systems as a breeding target for climate resilience
In the coming decades, larger genetic gains in yield will be necessary to meet projected
demand, and this must be achieved despite the destabilizing impacts of climate change on …
demand, and this must be achieved despite the destabilizing impacts of climate change on …
Deep learning for post-processing ensemble weather forecasts
Quantifying uncertainty in weather forecasts is critical, especially for predicting extreme
weather events. This is typically accomplished with ensemble prediction systems, which …
weather events. This is typically accomplished with ensemble prediction systems, which …
A climate-change attribution retrospective of some impactful weather extremes of 2021
The IPCC AR6 report outlines a general consensus that anthropogenic climate change is
modifying the frequency and intensity of extreme events such as cold spells, heat waves …
modifying the frequency and intensity of extreme events such as cold spells, heat waves …
[HTML][HTML] Time series analysis and forecasting of air pollutants based on prophet forecasting model in Jiangsu province, China
Due to recent developments in the global economy, transportation, and industrialization, air
pollution is one of main environmental issues in the 21st century. The current study aimed to …
pollution is one of main environmental issues in the 21st century. The current study aimed to …
Projecting Future Energy Production from Operating Wind Farms in North America. Part III: Variability
Daily expected wind power production from operating wind farms across North America are
used to evaluate capacity factors (CF) computed using simulation output from the Weather …
used to evaluate capacity factors (CF) computed using simulation output from the Weather …
[HTML][HTML] Prophet forecasting model: A machine learning approach to predict the concentration of air pollutants (PM2. 5, PM10, O3, NO2, SO2, CO) in Seoul, South …
J Shen, D Valagolam, S McCalla - PeerJ, 2020 - peerj.com
Amidst recent industrialization in South Korea, Seoul has experienced high levels of air
pollution, an issue that is magnified due to a lack of effective air pollution prediction …
pollution, an issue that is magnified due to a lack of effective air pollution prediction …
[HTML][HTML] Neuro-fuzzy modeling and prediction of summer precipitation with application to different meteorological stations
Research community has a growing interest in neural networks because of their practical
applications in many fields for accurate modeling and prediction of the complex behavior of …
applications in many fields for accurate modeling and prediction of the complex behavior of …
Causally‐informed deep learning to improve climate models and projections
F Iglesias‐Suarez, P Gentine… - Journal of …, 2024 - Wiley Online Library
Climate models are essential to understand and project climate change, yet long‐standing
biases and uncertainties in their projections remain. This is largely associated with the …
biases and uncertainties in their projections remain. This is largely associated with the …
A methodology for attributing severe extratropical cyclones to climate change based on reanalysis data: the case study of storm Alex 2020
Extreme event attribution aims at evaluating the impact of climate change on specific
extreme events. In this work, we present an attribution methodology for severe extratropical …
extreme events. In this work, we present an attribution methodology for severe extratropical …
Changes in future synoptic circulation patterns: consequences for extreme event attribution
Anthropogenic emissions can modify the frequency and intensity of extreme weather events
such as cold spells, heatwaves, and heavy precipitations. A major challenge is to detect …
such as cold spells, heatwaves, and heavy precipitations. A major challenge is to detect …