Fig 2 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
Total number of SWH from satellite altimetry that crossed Indonesian waters in July 2018 -June 2019
Source publication
A limited number of marine meteorological instruments for making observations in Indonesian waters are problems in verifying the BMKG-OFS model. The satellite altimetry was selected as a verification tool due to its wide measurement range. The verification was carried out by adjusting the coordinates, time, and grid of SWH obtained and orbit of the...
Contexts in source publication
Context 1
... the next subsection, the extreme value distribution of SWH due to the lowpressure center can be obtained from the OFS model and can be detected by the same altimetry trajectory. In addition, the total altimetry trajectory that passes Indonesian waters in July 2018 -June 2019 is presented in Figure 2. It delineates that the total trajectories fluctuate each month, with the most trajectories of 179 in December and the least of 73 in June. ...
Context 2
... The best combination of statistical analysis was in November. On the contrary, less ideal statistical results occurred in June (Fig. 3b). Compared to the total satellite trajectory (Fig. 2) in the two months, the performance of the model was not affected by the number of trajectories. Thus, the model is said to be quite reliable compared to satellite data. As a comparison, similar results were also conducted on Jason 2 satellite every month [26]. Obtained the mean bias is lower than RMSE, with the mean bias almost equal ...
Citations
... This resolution balances computational efficiency and spatial coverage, leveraging readily available local meteorological wind data to get accurate findings [25]. The data is typically available for download at hourly intervals for the past and future forecast periods, with forecast data spanning up to 3 days ahead in 3hour increments [27], [28]. Numerous other studies use the model's data and appear to be quite dependable [8], [11], [25], [29], [30], [31], [32], [33], [34]. ...
Wind and waves are the two most dominant environmental parameters in the sea. The availability of these two data is crucial in the design process of offshore and onshore buildings and the development of renewable energy from wind or wave. Numerous analyses have been done on each parameter, but none have tested their correlation specifically in the waters of the western Lampung. This study aims to find a correlation between these two parameters. The study used 20 years of wind and wave data from BMKG. The average wind speed data obtained was about 4,17 - 5,13 m/s. The mean significant wave height obtained was about 1,89 - 2,09 m. BMKG gives more direction with a huge wind-blowing duration (more than 500 hours), wind-blowing direction data are dominantly from SSE, WNW, and WSW. However, wave direction data is going to N and NE. This study found no correlation between wind and wave direction on the Western Lampung Offshore. Based on data from the time series of wind and wave that have been analyzed, continuously higher wind speeds result in higher wave heights.
