Meteorologists enhance multivariable built-in analysis technique for local weather mannequin

A schematic chart illustrates local weather mannequin analysis with the MVIETooL. Credit score: ZHANG Mengzhuo

The multivariable built-in analysis (MVIE) technique might help meteorologists to quantitatively consider the general efficiency of a local weather mannequin in simulating a number of variables like air temperature, precipitation, and vector wind, towards noticed ones.

Just lately, researchers from Nanjing College and the Institute of Atmospheric Physics (IAP) of the Chinese language Academy of Sciences developed a simple-to-use Multivariable Built-in Analysis Device (MVIETool) coded with Python/NCL to facilitate local weather mannequin analysis and fashions inter-comparison, bettering the MVIE technique.

The examine was revealed in Geoscientific Mannequin Improvement on Could 28.

“The improved MVIE technique can present a extra complete and exact analysis of local weather mannequin efficiency. With the help of the MVIETool, one can simply consider mannequin efficiency by way of every particular person variable and/or a number of variables,” mentioned Zhang Mengzhuo from the College of Atmospheric Sciences, Nanjing College, the primary writer of the examine.

Within the improved technique, the area-weighting is taken into the definition of statistics in MVIE, which makes the analysis outcomes of spatial fields extra correct. “The strategy permits a combined analysis of scalar and vector fields,” mentioned Prof. Xu Zhongfeng from IAP, the corresponding writer of the examine. “A multivariable built-in ability rating is proposed as a versatile and normalized index to quantitatively measure a mannequin’s capacity to simulate a number of fields.”

Along with local weather mannequin analysis, the improved MVIE technique may additionally be utilized to different areas, e.g., machine studying. One might use the MVIE technique to measure the general accuracy of a number of variables generated by a machine studying mannequin relative to the goal values.


Inclusion of a crop mannequin in a local weather mannequin


Extra info:
Meng-Zhuo Zhang et al, An improved multivariable built-in analysis technique and gear (MVIETool) v1.0 for multimodel intercomparison, Geoscientific Mannequin Improvement (2021). DOI: 10.5194/gmd-14-3079-2021

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Chinese language Academy of Sciences

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Meteorologists enhance multivariable built-in analysis technique for local weather mannequin (2021, June 10)
retrieved 10 June 2021
from https://phys.org/information/2021-06-meteorologists-multivariable-method-climate.html

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