Meteorologists improve multivariable integrated evaluation method for climate model
The Multivariable Integrated Evaluation (MVIE) method can help meteorologists to quantitatively evaluate the overall performance of a climate model in simulating multiple variables like air temperature, precipitation, and vector wind, against observed ones.
Recently, researchers from Nanjing University and the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences developed a simple-to-use Multivariable Integrated Evaluation Tool (MVIETool) coded with Python/NCL to facilitate climate model evaluation and models inter-comparison, improving the MVIE method.
The study was published in Geoscientific Model Development.
"The improved MVIE method can provide a more comprehensive and precise evaluation of climate model performance. With the support of ...









