Research on the Analysis Method of Small and Medium-sized Enterprises' Solvency Based on Financial Data Analysis

Guo, Song

doi:10.4108/eai.17-6-2022.2322860

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Due to the quite complex model physics and forecasting methods [11][12][13], rainfall prediction capabilities are of great uncertainty [14][15][16][17]. As the complex forecasts with finer spatial scales have been developed in recent years [18][19][20], it has become an essential means for both research and application to obtain their specific attributes and performances through evaluations and comparisons [21,22].…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of Rainfall Forecasts during the Summer of 2020 over Central East China

2023

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By using various skill scores and spatial characteristics of spatial verification methods and traditional techniques of the model evaluation tool, the gridded precipitation observation, known as Climate Prediction Center Morphing Technique, gauge observation and three datasets that were derived from local, Shanghai, and Grapes models, respectively, were conducted to assess the 3 lead day rainfall forecast with 0.5 day intervals during the summer of 2020 over Central East China. Results have shown that the local model generally outperforms the other two for the most skill scores but usually with relatively larger uncertainties than the Shanghai model, and it has the least displacement errors for moderate rainfall among the three datasets. However, the rainfall of the Grapes model has been heavily underestimated and is accompanied with a large displacement error. Both the local and Shanghai model can effectively forecast the large-scale convection and rainstorms but over forecast the local convection, while the local model likely over forecasts the local rainstorms. In addition, the Shanghai model slightly favors over forecasting on a broad scale range and a broad threshold range, and the local model slightly misses the rainfall exceeding 100 mm. Generally, for a broadly comparative evaluation on rainfall, the popular dichotomous methods should be recommended when considering reasonable classification of thresholds if the accuracy is highly demanding. In addition, most spatial methods are suggested to conduct with proper pre-handling of non-rainfall event cases. Especially, the verification metrics including spatial characteristic difference information should be recommended to emphasize rewarding the severe events forecast under a global warming background.

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Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of Rainfall Forecasts during the Summer of 2020 over Central East China

2023

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Comparative Evaluation of Rainfall Forecasts During the Summer of 2020 Over Central East China

Guo¹,

Shao²,

Aifang³

2023

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By using various skill scores and spatial characteristics of spatial verification methods and tradi-tional techniques of the model evaluation tool (MET, V10.0.0), the gridded precipitation obser-vation CMPAV (V2.0) and three datasets that derived from local (LOC), Shanghai (SHA), and Grapes (GRA) model respectively are conducted to assess the 3 lead day rainfall forecast with 0.5-day intervals during summer of 2020 over central east China. Results have shown that LOC generally outperforms the other two for most skill scores but usually with relatively larger un-certainties than SHA, and it has the least displacement errors for moderate rainfall among the three datasets. However, the rainfall of GRA has been heavily underestimated and accompanied with large displacement error. Both LOC and SHA have shown almost equitable abilities in forecasting convection and rainstorms of the large area but with a slightly over-forecast of local convection, while LOC likely over-forecasts the local rainstorms. In addition, SHA slightly favors over-forecast on a broad scale range and a broad threshold range, and LOC slightly misses the rainfall exceeding 100 mm. Generally, for a broadly comparative evaluation on rainfall, the popular dichotomous methods should be recommended under considering reasonable classifi-cation of thresholds if the accuracy is highly demanded. And most spatial methods should be suggested to conduct with proper pre-handling of non-rainfall event cases. Especially, the veri-fications including spatial characteristic difference information could be recommended in a computationally sufficient environment.

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Research on the Analysis Method of Small and Medium-sized Enterprises' Solvency Based on Financial Data Analysis

Cited by 2 publications

References 5 publications

Comparative Evaluation of Rainfall Forecasts during the Summer of 2020 over Central East China

Comparative Evaluation of Rainfall Forecasts during the Summer of 2020 over Central East China

Comparative Evaluation of Rainfall Forecasts During the Summer of 2020 Over Central East China

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