From the Stony Brook Newsroom Featured Research Photo, October 27, 2017
A team of SoMAS researchers, led by Professor Minghua Zhang, discovered that computer climate models are missing key elements to forecasting weather – such as this one in the photo above of an atmospheric convective system in the central U.S.–leading to flaws showing persistent dry and warm prediction biases in the region. The researchers found a way to correct these flaws for a more accurate prediction of future climate patterns. The research and findings, published in Nature Communications, call for better calculations in global climate models.
Lin, Y., Dong, W., Zhang, M., Xie, Y., Xue, W., Huang, J., & Luo, Y. (2017). Causes of model dry and warm bias over central US and impact on climate projections. Nature Communications, 8.
