International Journal of Remote Sensing and Earth Sciences (IJReSES)
Vol 14, No 1 (2017)

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

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 Setyo Pranowo (Marine and Coastal Data Laboratory, Marine Research Center, Agency of Research and Human Resources, Ministry of Marine Affairs & Fisheries Republic of Indonesia Department of Hydrogaphy Engineering, Indonesian Naval Postgraduate School (STTAL))



Article Info

Publish Date
21 Jun 2017

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 ≥ 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.

Copyrights © 2017






Journal Info

Abbrev

ijreses

Publisher

Subject

Earth & Planetary Sciences

Description

International Journal of Remote Sensing and Earth Sciences (IJReSES) is expected to enrich the serial publications on earth sciences, in general, and remote sensing in particular, not only in Indonesia and Asian countries, but also worldwide. This journal is intended, among others, to complement ...