stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
鄭哲榮 , Masters Advisor：李天浩
繁體中文 DOI： 10.6342/NTU201702343
-  Bellon, A., I. Zawadzki, A. Kilambi, H. C. Lee, Y. H. Lee, & G. Lee, (2010). McGill algorithm for precipitation nowcasting by lagrangian extrapolation (MAPLE) applied to the South Korean radar network. Part I: Sensitivity studies of the Variational Echo Tracking (VET) technique. Asia-Pacific Journal of Atmospheric Sciences, 46(3), 369-381.
-  Chang, P. L., Lin, P. F., Jong-Dao Jou, B., & Zhang, J. (2009). An application of reflectivity climatology in constructing radar hybrid scans over complex terrain. Journal of Atmospheric and Oceanic Technology, 26(7), 1315-1327.
-  Germann, U., I. Zawadzki (2002). Scale-dependence of the predictability of precipitation from continental radar images. Part I: Description of the methodology. Monthly Weather Review, 130(12), 2859-2873.
-  Germann, U., and I. Zawadzki (2004). Scale dependence of the predictability of precipitation from continental radar images. Part II: Probability forecasts. Journal of Applied Meteorology, 43(1), 74-89.
-  Germann, U., Zawadzki, I., & Turner, B. (2006). Predictability of precipitation from continental radar images. Part IV: Limits to prediction. Journal of the Atmospheric Sciences, 63(8), 2092-2108.
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