Impact of FORMOSAT-3/COSMIC GPS radio occultation and dropwindsonde data on regional model predictions during the 2007 Mei-yu season

Chien, Fang Ching; Kuo, Ying Hwa

doi:10.1007/s10291-009-0143-2

Cited by 10 publications

(5 citation statements)

References 22 publications

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“…The MAE was averaged inside a 400 km × 400 km domain following the simulated hurricane centers at 14, 20, 26, 32, 38, 44, and 50 h (Figure 5). In addition, the significance levels under the hypothesis that the MAE of 10 m winds from ENONE was larger than those from EMI, EMN, and EA (Table 2) were also examined using a resampling technique [ Wilks , 1995; Chien et al , 2006; Chien and Kuo , 2010]. At 14, 20, 44, and 50 h, the MAEs of ENONE were larger than those of EMI, EMN, and EA with a significance level of at least 78%.…”

Section: Discussion Of the Resultsmentioning

confidence: 99%

Impact of MODIS and AIRS total precipitable water on modifying the vertical shear and Hurricane Emily simulations

2011

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[1] The impact of retrieved total precipitable water (TPW) from Moderate Resolution Imaging Spectrometer (MODIS) infrared (IR), MODIS near-infrared (NIR), and the combined Atmospheric Infrared Sounder (AIRS)-IR and Advanced Microwave Sounding Unit-Microwave channels on simulations of Hurricane Emily was assessed and compared using the Weather Research and Forecasting model and its three-dimensional variation data assimilation (3D-Var) system. After assimilating MODIS IR TPW, the model clearly better reproduced storm tracking, intensity, and the 10 m wind field, while the improvement was limited or nil when assimilating either MODIS NIR TPW or AIRS TPW. After the data assimilation of MODIS IR TPW, a positive moisture increment was present to the east of the simulated storm in 3D-Var analysis (i.e., initial conditions). The positive TPW increment enhanced a convective cloud, which was also observed by satellites. The convective cloud effectively modulated the height and wind fields, resulting in a weakening of the vertical wind shear (VWS) over the region. The weak VWS band was then advected to the north of the storm, preventing the storm from attaching to the strong VWS zone located between 20°N and 30°N. There was no such positive moisture increment, convective cloud, or weak VWS band occurring to the east of the simulated storm in the other data assimilation experiments. This explains why the simulated storm intensified with assimilation of MODIS IR TPW but not for the other experiments.

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Section: Discussion Of the Resultsmentioning

confidence: 99%

Impact of MODIS and AIRS total precipitable water on modifying the vertical shear and Hurricane Emily simulations

2011

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“…[61] Unfortunately, a limitation of our current study is that we have not employed IBPs to showcase the research profiles of the 4 distinguished authors. [58,[62][63][64] This could have provided a clearer picture of each author's contributions and the breadth and impact of their research work. We recommend that future related studies consider the use of IBPs to transparently communicate the academic contributions of authors, as this can add depth and clarity to the understanding of the research landscape.…”

Section: Limitations and Suggestionsmentioning

confidence: 99%

Visualizing burst spots on research for four authors in MDPI journals named to be Citation Laureates 2021 using temporal bar graph

Chien

Chou

2023

Medicine

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Background: The appearance of a topic in a document stream is signaled by a burst of activity, with certain features rising sharply in frequency as the topic emerges. Although temporal bar graph (TBG) is frequently applied to present the burst spot in the bibliographical study, none of the research has combined the inflection point (IP) to interpret the burst spot feature. The aims of this study are to improve the traditional TBG and apply the TBG to understand better the evolution of a topic (e.g., publications and citations for a given author). Methods: The EISTL model, including entity, indicator, selection of a few vital ones (named attributes) with higher values in quantity (e.g., the citation data of the top 10 entities), TBG and line-chart plots to verify the trend of interest, was proposed to demonstrate the TBG as a whole. The IP locations compared to the median point in data along with the heap map and line-chart trend were identified. The burst strength was computed. A dashboard on Google Maps was designed and launched for bibliometric analysis. Four authors in MDPI (Multidisciplinary Digital Publishing Institute) journals named to be Citation Laureates 2021 were recruited to compare their research achievements shown on the TBG, particularly displaying the burst spots and the recent developments and stages (e.g., increasing, ready to increase, slowdown, or decreasing). Results: We observed that the highest burst strengths in publication and citations are earned by Barry Halliwell (8.99) and Jean-Pierre Changeux (18.01). The breakthrough of TBG using the EISTL model to display the influence of authors in academics was made with 2 parts of the primary IP point and the trend feature in the data. Conclusion: The dashboard-type TBG shown on Google Maps is unique and innovative and able to provide deeper insights to readers, not merely limited to the publications and citations for a given author as we did in this study.

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“…All the QR codes in the graphs are linked to the dashboards. [35,[37][38][39][40][41] Readers are suggested to examine the displayed dashboards on Google Maps.…”

Section: Online Dashboards Shown On Google Mapsmentioning

confidence: 99%

Circle packing charts generated by ChatGPT to identify the characteristics of articles by anesthesiology authors in 2022: Bibliometric analysis

Ho,

Chien,

Chou

2023

Medicine

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Background: The ChatGPT (Open AI, San Francisco, CA), denoted by the Chat Generative Pretrained Transformer, has been a hot topic for discussion over the past few months. A verification of whether the code for drawing circle packing charts (CPCs) with R can be generated by ChatGPT and used to identify characteristics of articles by anesthesiology authors is needed. This study aimed to provide insights into article characteristics in the field of anesthesiology and to highlight the potential of ChatGPT for data visualization techniques (e.g., CPCs) in bibliometric analysis. Methods: A total of 23,012 articles were indexed in PubMed in 2022 by authors in the field of anesthesiology. The code for drawing CPCs with R was generated by ChatGPT and then modified by the authors to identify the characteristics of articles in 2 forms: 23,012 and 100 top-impact factors in journals (T100IF). Using CPCs and 3 other visualizations—network charts, impact beam plots, and Sankey diagrams—we were able to display article features commonly used in bibliometric analysis. The author-weighted scheme and absolute advantage coefficient were used to assess dominant entities, such as countries, institutes, authors, and themes (defined by PubMed and MeSH terms). Results: Our findings indicate that: further modifications should be made to the code generated by ChatGPT for drawing CPCs in R; publications in the field of anesthesiology are dominated by China, followed by the United States and Japan; Capital Medical University (China) and Showa University Hospital (Japan) dominate research institutes in terms of publications and IF, respectively; and COVID-19 is the most frequently reported theme in T100IF, accounting for 29%. Conclusions: No such articles with CPCs regarding bibliometrics have ever been found in PubMed. The code for drawing CPCs with R can be generated by ChatGPT, but further modification is required for implementation in bibliometrics. CPCs should be used in future studies to identify the characteristics of articles in other areas of research rather than limiting them to anesthesiology, as we did in this study.

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Impact of FORMOSAT-3/COSMIC GPS radio occultation and dropwindsonde data on regional model predictions during the 2007 Mei-yu season

Cited by 10 publications

References 22 publications

Impact of MODIS and AIRS total precipitable water on modifying the vertical shear and Hurricane Emily simulations

Impact of MODIS and AIRS total precipitable water on modifying the vertical shear and Hurricane Emily simulations

Visualizing burst spots on research for four authors in MDPI journals named to be Citation Laureates 2021 using temporal bar graph

Circle packing charts generated by ChatGPT to identify the characteristics of articles by anesthesiology authors in 2022: Bibliometric analysis

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