Automated Author ProfileKemden, Nafisa
Kemden, Nafisa
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.1 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Regional wind-wave model is the computational model which is applied from the WAve Model (WAM). The data of regional hindcast, operational WAM model, and wind data are used in the validation and calibration. Then, the Simulating Waves Nearshore (SWAN) wave model is used for the calculation of nearshore wave parameters, spectral time series and statistics. Due to the high cost of full SWAN model, utilization of the offshore WAM model results together with nearshore satellite observations is a cost-effective alternative. In the area of Gulf of Thailand (GOT), it is found from WAM and SWAN that areas of the GoT present a stable wave energy and power. Moreover, the average significant wave height is also used to preliminarily evaluate the wave power. From the previous study, it was found that the station S11 is the station with the highest significant wave height of 2.6 m. It was also found that the highest significant wave height can be found in September. As the result the suggested potential locations for wave energy are stations S7-S14. For the extreme case of typhoon Linda in 1997, the highest significant wave height is 2.71 m at S16. Moreover, the average significant wave height and wave power in September 2011 were studied. The results show a good agreement with the previous study that stations S7-S14 are the stations with high potential. However, the results of stations S11, S13, S14 seem to show the highest potential of power generation amongst all stations.
Authors
- Kemden, Nafisa ;
- Chaiwat Ekkawatpanit ;
- Worachat Wannawong ;
- Duangrudee Kositgittiwong
Regional wind-wave model is the computational model which is applied from the WAve Model (WAM). The data of regional hindcast, operational WAM model, and wind data are used in the validation and calibration. Then, the Simulating Waves Nearshore (SWAN) wave model is used for the calculation of nearshore wave parameters, spectral time series and statistics. Due to the high cost of full SWAN model, utilization of the offshore WAM model results together with nearshore satellite observations is a cost-effective alternative. In the area of Gulf of Thailand (GOT), it is found from WAM and SWAN that areas of the GoT present a stable wave energy and power. Moreover, the average significant wave height is also used to preliminarily evaluate the wave power. From the previous study, it was found that the station S11 is the station with the highest significant wave height of 2.6 m. It was also found that the highest significant wave height can be found in September. As the result the suggested potential locations for wave energy are stations S7-S14. For the extreme case of typhoon Linda in 1997, the highest significant wave height is 2.71 m at S16. Moreover, the average significant wave height and wave power in September 2011 were studied. The results show a good agreement with the previous study that stations S7-S14 are the stations with high potential. However, the results of stations S11, S13, S14 seem to show the highest potential of power generation amongst all stations.
Authors
- Kemden, Nafisa ;
- Chaiwat Ekkawatpanit ;
- Worachat Wannawong ;
- Duangrudee Kositgittiwong