The GRAPES evaluation tools based on Python (GetPy)

• Published in: CCF transactions on high performance computing (Online) Vol. 5; no. 4; pp. 347 - 359
• Main Authors: Zhao, Bin, Hu, Jiangkai, Wang, Dapeng, Zhang, Bo, Chen, Fajing, Wan, Ziwei, Sun, Siyuan
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.12.2023; Springer Nature B.V
• Subjects: Advances in Developing Large Scale Earth System Models; Climate science; Computer graphics; Computer Hardware; Computer Science; Computer Systems Organization and Communication Networks; Confidence intervals; Diagnostic software; Display devices; Diurnal variations; Grapes; Humidity; Interactive systems; Numerical models; Precipitation; R&D; Rain; Regular Paper; Research & development; Sea level; Standard deviation; Statistical analysis; Statistics; Variables; Verification; Wavelet analysis; Weather; Weather forecasting; Evaluation tools; Verification; GetPy; Python
• ISSN: 2524-4922; 2524-4930
• DOI: 10.1007/s42514-022-00127-7

This paper describes the GRAPES Evaluation Tools based on Python (GetPy), a community verification and diagnostic tool for the evaluation of numerical models. The traditional statistical verification with confidence level test, the comprehensive scorecard, the precipitation skill score such as TS, ETS, diagnostic score SEEPS and the spatial verification techniques are used as verification modules. The Error tracing techniques conducted on the performance with different scales by wavelet analysis. The diurnal cycle of precipitation can also be calculated by Precipitation frequency-intensity method. Based on simple script architecture GetPy also includes a revised and simplified installation procedure and interactive display system. Users can easily access graphic products and carry out evaluation applications.