For most cases, spectral nudging improves temperature, geopotential height and precipitation predictions, both high in the atmosphere and close to the Earth's surface. Large-scale patterns like monsoon precipitation or the "Madden–Julian" oscillation also resemble observations more closely.

Tropical cyclones have a significant impact on people and wildlife close to coasts. Long-term and homogeneous hindcasts are essential for estimating storm-climate statistics. Regional climate models are increasingly being used to examine the local effects of tropical cyclones and to generate such hindcasts.

For certain weather conditions, regional climate models tend to differ from observed large-scale weather patterns, and spectral nudging helps the regional model to stay on track. Today, this technique is available for a number of regional climate models, including the popular WRF (Weather Research and Forecasting) model, and is increasingly being used for studies in South-East Asia and for simulating typhoons on a regional scale. Until now, however, the specific effects of spectral nudging on typhoon formation had not been described in much detail.

In our article in Environmental Research Letters (ERL) we analysed the impact of spectral nudging on typhoon models. We set up an ensemble of simulations with and without spectral nudging, and compared the results to satellite and reanalysis data. Based on our results, we recommend the use of spectral nudging when using a regional climate model to hindcast tropical cyclones. While the favourable characteristics of spectral nudging also hold for regional global-model simulations, using future-emission scenarios is still an open question and subject to further investigation.