VERIFICATION OF PISCES DISSOLVED OXYGEN MODEL USING IN SITU MEASUREMENT IN BIAK, ROTE, AND TANIMBAR SEAS, INDONESIA

Authors

  • Armyanda Tussadiah )Marine and Coastal Data Laboratory, Marine Research Center, Agency of Research and Human Resources, Ministry of Marine Affairs & Fisheries Republic of Indonesia
  • Joko Subandriyo Marine and Coastal Data Laboratory, Marine Research Center, Agency of Research and Human Resources, Ministry of Marine Affairs & Fisheries Republic of Indonesia
  • Sari Novita Marine and Coastal Data Laboratory, Marine Research Center, Agency of Research and Human Resources, Ministry of Marine Affairs & Fisheries Republic of Indonesia
  • Widodo S. Pranowo Department of Hydrogaphy Engineering, Indonesian Naval Postgraduate School (STTAL) Pasir Kuta V, East Ancol, Jakarta UBR 14430

DOI:

https://doi.org/10.30536/j.ijreses.2017.v14.a2681

Keywords:

verification, PISCES model, dissolved oxygen, in situ measurement, indonesia, linear regression

Abstract

Dissolved oxygen (DO) is one of the most chemical primary data in supported life for marine organisms. Ministry of Marine Affairs and Fisheries Republic of Indonesia through Infrastructure Development for Space Oceanography (INDESO) Project provides dissolved oxygen data services in Indonesian Seas for 7 days backward and 10 days ahead (9,25 km x 9.25 km, 1 daily). The data based on Biogeochemical model (PISCES) coupled with hydrodynamic model (NEMO), with input data from satellite acquisition. This study investigated the performance and accuracy of dissolved oxygen from PISCES model, by comparing with the measurement in situ data in Indonesian Seas specifically in three outermost islands of Indonesia (Biak Island, Rote Island, and Tanimbar Island). Results of standard deviation values between in situ DO and model are around two (St.dev ± 2). Based on the calculation of linear regression between in situ DO with the standard deviation obtained a high determinant coefficient, greater than 0.9 (R2 â‰¥ 0.9). Furthermore, RMSE calculation showed a minor error, less than 0.05. These results showed that the equation of the linear regression might be used as a correction equation to gain the verified dissolved oxygen.

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Published

2025-11-26

Issue

Vol. 14 No. 1 (2017)

Section

Articles

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Copyright (c) 2017 Author (S)

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