Specifically, predictions of seasonal and interannual weather (i.e., short-term climate) are predictions of the departures from the average (normal) climate for upcoming seasons, and these are distinct from short-range weather predictions that attempt to deterministically forecast day-to-day weather ...
The multi-model configuration, which considers both the initial condition and model uncertainties to predict weather phenomena over East Asia, is an optimal set of ensemble members. The bias-corrected ensemble and the superensemble (SE) show similar predictability, but slightly better skill is ...
NeurIPS 2024 [link] Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover. NeurIPS 2024 [link] Identifying Spatio-...
With the rapid economic growth, air quality continues to decline. High-intensity pollution emissions and unfavorable weather conditions are the key factors for the formation and development of air heavy pollution processes. Given that research into air q
Recently, the deep learning method has been widely utilised for weather-climate predictions although its interpretability is required for further improvement. Our study suggests that deep learning methods can extend reliable IOD predictions out to 7 months ahead, and the combination of the deep learning...
Code and data of the AAAI-20 paper "Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets" - BabelNet-Sememe-Prediction/BabelSememe/synset_sememes.txt at master · thunlp/BabelNet-Sememe-Prediction
[27] Indian summer monsoon rainfall time series data Fuzzy entropy-neuro-based expert system Time series data are analyzed with statistical parameters Less accuracy; covers very smaller region [22] Conventional weather stations (CWS) in eight Brazilian states ANN One of the pioneer work for Brazilia...
The 20-year historical weather data at the airport was then used to generate a local TMY. Based on the original and local TMYs, this study compared building heating and cooling loads. This method was evaluated for five weather stations within the city of Montreal to assess the impact of ...
Public expectations have been set for the development of skillful meteorological forecasts of unprecedented leads out to a month or two, filling the so-called subseasonal to seasonal prediction gap. While both the weather and climate communities, coordin
The Year Of Polar Prediction (YOPP) dataset of the European Centre for Medium-Range Weather Forecasts (ECMWF) contains initial condition and forecast model output from the operational global, coupled numerical weather prediction system. The dataset has been created to support model forecast evaluation...