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Instantaneous Height of Sea Surface: A Comparison between Local Field Observation and the Simulated Level from Global Models

Nusantara C.A.D.S.a, Hakim A.R.a, Adytia D.b, Poerbandonoa

a Institut Teknologi Bandung, Research Group of Hydrography, Bandung, Indonesia
b Telkom University, School of Computing, Bandung, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 IEEE.This paper explores the usability of a global database containing sea surface height. We look at simulated heights of the sea surface at a certain area and compare them with field observation from three stationary stations and one from an ocean cruise. Mean Sea Surface data from the global model and Mean Sea Level (MSL) data from the field observation must be referenced to the same height system. For this reason, a height system in the form of a global ellipsoid model, namely the World Geodetic System 1984 (WGS84) was chosen as the height reference. After being referenced in the same height system, then the MSS and MSL are compared by looking for the difference between the MSS of the ellipsoid hMSS and the MSL of the ellipsoid (hMSS) and the average of these differences. The results show that the differences are in the order of <1m. The simulated tidal waves from the global model is incapable to describe the actual sea level variations, although it is able to capture the general trend. It should be noted that the field observation is incomplete and subject to various uncertainties. Bearing in mind the limitation of the models and uncertainties of the observation, our study confirms that such an order discrepancy in a global sense is tolerable.[/vc_column_text][vc_empty_space][vc_separator css=".vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}"][vc_empty_space][megatron_heading title="Author keywords" size="size-sm" text_align="text-left"][vc_column_text]Field observations,General trends,Global database,Global modeling,Mean sea level,Mean sea surfaces,Sea level variations,Sea surface height[/vc_column_text][vc_empty_space][vc_separator css=".vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}"][vc_empty_space][megatron_heading title="Indexed keywords" size="size-sm" text_align="text-left"][vc_column_text]mean sea level,mean sea surface,sea level height[/vc_column_text][vc_empty_space][vc_separator css=".vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}"][vc_empty_space][megatron_heading title="Funding details" size="size-sm" text_align="text-left"][vc_column_text]The authors thank Telkom University for holding the International Conference on Data Science and Its Applications (ICoDSA) 2020 enabling to publish this paper. The work presented in this paper is funded by the Riset KK-B 2020 Institut Teknologi Bandung.[/vc_column_text][vc_empty_space][vc_separator css=".vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}"][vc_empty_space][megatron_heading title="DOI" size="size-sm" text_align="text-left"][vc_column_text]https://doi.org/10.1109/ICoDSA50139.2020.9212852[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]