For the **Mediterranean Sea** Ocean **Satellite Observations**, the Italian National Research Council (CNR – Rome, Italy), is providing **Bio-Geo_Chemical (BGC)** regional datasets:
* **_plankton**_ with the phytoplankton chlorophyll concentration (CHL) evaluated via region-specific algorithms (Case 1 waters: Volpe et al., 2019, with new coefficients; Case 2 waters, Berthon and Zibordi, 2004) and Phytoplankton Functional Types (PFT) evaluated via region-specific algorithm (Di Cicco et al. 2017)
* **_reflectance**_ with the spectral Remote Sensing Reflectance (RRS)
* **_transparency**_ with the diffuse attenuation coefficient of light at 490 nm (KD490) (for **""multi**"" observations achieved via region-specific algorithm, Volpe et al., 2019)
* **_optics**_ including the IOPs (Inherent Optical Properties) such as absorption and scattering and particulate and dissolved matter (ADG, APH, BBP), via QAAv6 model (Lee et al., 2002 and updates)

**Upstreams**: SeaWiFS, MODIS, MERIS, VIIRS-SNPP & JPSS1, OLCI-S3A & S3B for the **""multi""** products, and OLCI-S3A & S3B for the **""olci""** products

**Temporal resolution**: daily

**Spatial resolutions**: 1 km for **""multi""** and 300 meters for **""olci""**

To find this product in the catalogue, use the search keyword **""OCEANCOLOUR_MED_BGC_L3_NRT""**.

**DOI (product):**   
https://doi.org/10.48670/moi-00297

**References:**

* Berthon, J.-F., Zibordi, G.: Bio-optical relationships for the northern Adriatic Sea. Int. J. Remote Sens., 25, 1527-1532, 2004
* Di Cicco A, Sammartino M, Marullo S and Santoleri R (2017) Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data. Front. Mar. Sci. 4:126. doi: 10.3389/fmars.2017.00126
* Lee, Z. P., et al. (2002), Deriving inherent optical properties from water color: A multi- band quasi-analytical algorithm for optically deep waters, Applied Optics, 41, 5755-5772.
* Volpe, G., Colella, S., Brando, V. E., Forneris, V., Padula, F. L., Cicco, A. D., ... & Santoleri, R. (2019). Mediterranean ocean colour Level 3 operational multi-sensor processing. Ocean Science, 15(1), 127-146.


Emanuele BÖHM

Vittorio Brando

Simone COLELLA

OC-CNR-ROMA-IT

Luis GONZÁLEZ VILAS

Product User Manual

Quality Information Document

Synthesis Quality Overview

An ARCO version of this dataset, downsampled in `longitude` and `latitude` by 4.
    
Note that the link (`href`) associated to this asset is the base directory
of this dataset, but it cannot be accessed directly.

To download this dataset or part of it, 
use a library such as [xarray](https://docs.xarray.dev/).

Downsampled dataset (by 4) in Zarr

An ARCO version of this dataset with a small chunk size in the `longitude` and `latitude` dimensions.
    
Note that the link (`href`) associated to this asset is the base directory
of this dataset, but it cannot be accessed directly.

To download this dataset or part of it, 
use a library such as [xarray](https://docs.xarray.dev/).

Geo-chunked dataset in Zarr

The original, non-ARCO version of this dataset, as published by the data provider.

Native dataset

An ARCO version of this dataset with a small chunk size in the `time` dimension.
    
Note that the link (`href`) associated to this asset is the base directory
of this dataset, but it cannot be accessed directly.

To download this dataset or part of it, 
use a library such as [xarray](https://docs.xarray.dev/).

Time-chunked dataset in Zarr

Georeferenced map tiles using the OGC WMTS standard.

OGC Web Map Tile Service (WMTS)

cmems_obs-oc_med_bgc-optics_nrt_l3-multi-1km_P1D

cmems_obs-oc_med_bgc-plankton_nrt_l3-multi-1km_P1D

An ARCO version of this dataset, downsampled in `longitude` and `latitude` by 16.
    
Note that the link (`href`) associated to this asset is the base directory
of this dataset, but it cannot be accessed directly.

To download this dataset or part of it, 
use a library such as [xarray](https://docs.xarray.dev/).

Downsampled dataset (by 16) in Zarr

An ARCO version of this dataset, downsampled in `longitude` and `latitude` by 8.
    
Note that the link (`href`) associated to this asset is the base directory
of this dataset, but it cannot be accessed directly.

To download this dataset or part of it, 
use a library such as [xarray](https://docs.xarray.dev/).

Mediterranean Sea, Bio-Geo-Chemical, L3, daily Satellite Observations (Near Real Time)

Notifications