High-frequency met-ocean observation dataset derived from the low-cost Marine Automatic Weather Station (MAWAS) platform at the Cirebon Coastal Area, Indonesia.

Authors

Iwan Pramesti Anwar, Sonny Prayogo, Ayi Tarya, Faruq Khadami, Farrah Hanifah, Nining Sari Ningsih, Yazid Ridla, Ivonne M Radjawane, Kim Namhoon, Mutiara R Putri, Fikry Purwa Lugina

Published in

Data in brief. Volume 67. Pages 113033. Epub Jun 28, 2026.

Abstract

This article describes a high-frequency coastal environmental dataset acquired by the MAWAS (Marine Automatic Weather Station) installed at Cirebon Jetty, Indonesia (6.716131°S, 108.572581°E). The dataset spans approximately seven months of continuous observation and includes seven environmental variables. They are timestamp, water level, air temperature, relative humidity, barometric pressure, wind speed, and wind direction. Observations were collected at an approximately 5 second sampling interval with near-real-time telemetry. The water-level series was geometrically corrected to convert raw ultrasonic sensor output into a calibrated water-level variable, and variable-level quality control was applied to remove outliers while preserving original timestamps. The dataset is publicly available through Mendeley Data and is suited for reuse in coastal meteorology, nearshore environmental monitoring, high-frequency time-series analysis, and real-time marine observation system evaluation in tropical coastal settings.

PMID:
42434502
Bibliographic data and abstract were imported from PubMed on 11 Jul 2026.

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