# High-resolution reanalysis biological ocean data from the Copernicus Marine Service Information for Philippine marine research

## TL;DR

This paper provides high-resolution ocean data for Philippine marine research, making it easier for researchers to analyze ocean productivity and changes over time.

## Contribution

The paper offers a processed dataset from the Copernicus Marine Service to support Philippine researchers with limited technical resources.

## Key findings

- The dataset includes daily, monthly, and annual means of net primary productivity, micronekton, and zooplankton.
- Climatologies and anomalies are provided to enable both short-term and long-term analysis in Philippine waters.
- The dataset reduces technical barriers for researchers by offering pre-processed high-resolution data.

## Abstract

In the absence of observation data, remotely sensed data provides an effective alternative in characterizing spatiotemporal dynamics and patterns of oceanographic data. Some of the most important variables are biomass estimates which describe the productivity of a certain area. Analyzing data with such indices is a useful tool to identify biological hotspots and shifts in concentrations that could be related to phenomenon and changes in the climate. As biomass patterns are crucial in the coastal areas, it is important to utilize data with high resolution at high frequencies (daily) to reduce the bias and capture significant changes in the coast. The E.U. Copernicus Marine Service Information provides reanalysis data of global biomass content that can be freely access by public users. However, problems accessing data could arise for users without prior knowledge of handling large data which is due to the high-resolution properties of the datasets. In addition, processing of large data can be challenging for users with technical hardware limitations. This dataset is provided to help Philippine marine researchers work with net primary productivity, micronekton, and zooplankton, even if they have technical limitations. Daily values, monthly and annual means, climatologies (daily, monthly, and long-term), and anomalies (daily, monthly, and annual) are provided in the public repository. The dataset will allow short-term and long-term analysis in the Philippine waters.