New satellite driven model provides “more realistic and reliable” predictions of sand and dust storm emissions
Peer-Reviewed Publication
Updates every hour. Last Updated: 11-Jun-2026 22:16 ET (12-Jun-2026 02:16 GMT/UTC)
The technology used to predict sand and dust storm (SDS) severity has for decades systematically over-estimated when and where sediment is transported across the Earth’s surface, a new study shows.
A new Curtin University institute will connect government and industry with leading geoscience expertise to help transform WA’s economic future in critical minerals with more sustainable mineral exploration.
Recently, the team led by Professor Xin Xu from the School of Atmospheric Sciences, Nanjing University published a short communication in Science Bulletin entitled “Complex Terrain Causes Global Model Prediction Biases of 21.7 Zhengzhou Extreme Precipitation”. The study reveals that the orographic gravity wave drag triggered by complex terrain can cause significant location and intensity biases of the “21.7” Zhengzhou extreme precipitation in global numerical weather prediction (NWP) models.