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Downloader and Corrector for sea-level rise climate change projections in the Indonesian region. Data are grabbed from Badan Informasi dan Geospasial (BIG). If you have any questions, please approach me at : fadhlilrizki@student.unimelb.edu.au or fadhlilmuhammad6@gmail.com v1.2* Refining the script for easier use. a. You can change the output name (Line 15-20) b. You can change the observation input name (Line 24) c. CMEMS ssh observation data for indonesian region (1993 - 2018) is now available for download ( https://drive.google.com/drive/folders/1qstXkQMWwWyOUdPRcV0c0Z1R8ftpg46y ). Just download and unzip it. Now can be used to only grab the data from BIG, without correcting it. a. MODE = 0 (Grab-Correction mode, grab the data and correcting it with observational data) b. MODE = 1 (GRABONLY mode, only grab the data from BIG, can be used without observational data) GRABONLY mode (MODE = 1) can be used to grab other variables such as U_VEL, V_VEL, SST, and SALT. To use this, change the variable "var" in Line 12 (for MODE = 0, it can only use var = "SSH").
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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