Abstract

This dataset contains Moderate Resolution Imaging Spectroradiometer (MODIS)-derived sea surface temperature (SST) in the Gulf of Mexico, at 4-km spatial resolution and monthly temporal resolution. This is the standard NASA data product distributed by NASA's Ocean Biology Distributed Active Archive Center (OB.DAAC; https://oceancolor.gsfc.nasa.gov) with the addition of calculated statistical fields. The original data have been sub-setted to the Gulf of Mexico region (18N to 31N and 98W to 79W) in order to calculate the monthly mean SST distributions over the 2012-2018 period, the annual mean SST distribution for each year, and the monthly anomaly fields for each year. Figures illustrating the distribution for the Gulf of Mexico region are included for the original and calculated data.

Comments

Supplemental Information

The original SST fields have the parameters SST [degrees C], qual_sst (quality levels, [0b to 5b]), latitude [decimal degrees N], longitude [decimal degrees E]), and palette (RGB eight-bit color fields). The annual mean, monthly climatology, and SST anomaly calculated variables have the parameters SST [degrees C].|These are standard NASA data products, generated from satellite measurements using the Moderate Resolution Imaging Spectroradiometer. All data collection, algorithms, and product uncertainties can be found on the NASA website https://oceancolor.gsfc.nasa.gov. The monthly mean data products are gridded to 4-km resolution for the region of 18°N to 31°N and 98°W to 79°W.||||

Purpose

To study spatial and temporal patterns and changes in sea surface temperature of the Gulf of Mexico.

Keywords

Sea surface temperature, remote sensing, MODIS, Moderate Resolution Imaging Spectroradiometer, SST

UDI

R6.x805.000:0010

Date

June 2020

Point of Contact

Name

Chuanmin Hu

Organization

University of South Florida / College of Marine Science

Name

Yingjun Zhang

Organization

University of South Florida / College of Marine Science

Funding Source

RFP-6

DOI

10.7266/n7-c5yd-bx03

Rights Information

Creative Commons License
This work is licensed under a Creative Commons Public Domain Dedication 1.0 License.

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