The lack of infrastructure is preventing scientists from robustly reporting meteorological information as well as communicating warnings about hazard-prone areas.
weather
Simulating Surface Impacts of Stratospheric Sudden Warmings
New evaluations of climate model simulations show how the stratosphere polar vortex couples to surface weather.
An Unprecedented View Inside a Hurricane
To improve future tropical cyclone forecasts, researchers sent a remotely operated saildrone into the extreme winds and towering waves around the eye of a category 4 hurricane.
A Lidar’s-Eye View of How Forests Are Faring
Success in Yosemite is driving the wider use of lidar surveys to support forest health and wildfire resilience, study wildlife habitats, and monitor water resources.
Chronicling the Hottest, Coldest, Windiest, and Rainiest Weather
The World Meteorological Organization verifies and documents record-setting temperatures, winds, lightning, and more, offering snapshots of Earth’s extremes and hints about its changing climate.
Corrective Machine Learning for Improving Climate Models
A machine-learned correction enables an efficient coarse-grid global atmosphere model to better track the weather and time-mean precipitation of an expensive fine-grid ‘digital twin’ reference model.
Impact of Assimilating Aeolus Winds on Kelvin Waves
Assimilation of Aeolus winds in the ECMWF analyses and forecasts improves the Kelvin Waves representation and forecasts in the tropical tropopause layer.
The AI Forecaster: Machine Learning Takes On Weather Prediction
A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.
The Benefits of Better Ocean Weather Forecasting
Improvements in our ability to forecast oceanic conditions weeks to months in advance will help communities, industries, and other groups prepare amid a changing climate.
A New Way to Represent Microphysical Uncertainty
A new way of representing microphysical uncertainty in convective-scale data assimilation reduces biases in model states and improves the accuracy of short-term precipitation forecasts.
