Sep-Nov 2016 SS T Anomaly

Title
Sep-Nov 2016 SS T Anomaly
Abstract

Sept-Nov SST Anomaly shows seasonal deviation in sea surface temperature characteristics in 2016 during the onset of WIO summer season. The layer shows warmer than normal SST in the southern parts of the Mozambique channel.
This data was derived using raster calculator in ArcGIS 10.3 to derive the 2016 seasonal average, and subtracted from this the long-term seasonal average from the 2003-2016 data series.

Publication Date
Type
Raster Data
Keywords
SST , anomaly
Category
Oceans
features and characteristics of salt water bodies (excluding inland waters). Examples: tides, tidal waves, coastal information, reefs
Regions
Africa , East Africa , Comoros , Kenya , Madagascar , Mauritius , Mayotte , Mozambique , Reunion , Seychelles , Somalia , United Republic of Tanzania , Southern Africa , South Africa
Owner
More info
-
Maintenance Frequency
Data Is Updated Every Year
Restrictions
formal permission to do something
Purpose

For use in identifying the ocean parameters characteristics and ecosystem management.

Language
English
Supplemental Information

SST offers essential information on the global climate system. SST is an essential parameter in weather prediction and atmospheric model simulations, and is ...

Spatial Representation Type
grid data is used to represent geographic data
Attribute Name Label Description Range Average Median Standard Deviation
Grid values Grid values Value of SST in degree celcius NA

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  • About

    Owner, Point of Contact, Metadata Author

    MOZALINK

    Project Partners: IRD (REUNION ISLAND), CORDIO (KENYA), Eduardo Mondlane University (MOZAMBIQUE), IHSM (MADAGASCAR), Ulanga Ngazidja (COMORES), University of Dar es Salaam (TANZANIA)