Multimodel

The sea surface anomalies of positive and negative ENSO phase（from https://ifurtado.org/el-nino-southern-oscillation. Credit: Science China Press A multi-model ensemble (MME) prediction system has been recently developed by a team led by Dr. Dake Chen. This prediction system consists of five dynamical coupled models with various complexities, parameterizations, resolutions, initializations, and ensemble strategies, to address…

Utilize Locust to Distribute Traffic Weight Across ModelsImage from Unsplash by Luis ReyesProductionizing Machine Learning models is a complicated practice. There’s a lot of iteration around different model parameters, hardware configurations, traffic patterns that you will have to test to try to finalize a production grade deployment. Load testing is an essential software engineering practice, but also crucial to apply in the MLOps space to see how performant your model is in a real-world setting.How can we load test? A…

(a) mean precipitation, (b) mean precipitation intensity, and (c) mean precipitation frequency. Credit: Science China Press In a study led by Prof. Qi Zhong (China Meteorological Administration Training Center), Dr. Haoming Chen (Chinese Academy of Meteorological Sciences), and Meteorologist Zhuo Sun, Jiangbo Li, Lili Shen of Hebei Meteorological Observatory, intense rainfall events in the Beijing-Tianjin-Hebei region (BTHR)…