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Neural Network based MATLAB function for Atmospheric Temperature Prediction in Nigeria

Domaine:

climate

Type de record:

softwaremodel
Créateur:
OkoOnuRab
Éditeur:
Zenodo
Hôte:avatar
The software is a MATLAB function for prediction of atmospheric temperatures in Nigeria. The function is developed by method of neural network training of 3-dimensional atmospheric temperature data obtained from the COSMIC (Constellation Observing System for Meteorology, Ionosphere, and Climate) mission. The required inputs are: Year, DOYc, DOYs, UTc, UTs, altitude, latitude, and longitude, in that order. where: DOYc=cos((2*pi*DOY)/365.25); DOYs=sin((2*pi*DOY)/365.25); UTc=cos((2*pi*UT)/24); and UTs=sin((2*pi*UT)/24); [DOY is day of the year, and UT is hour of the day in universal time] The output is atmospheric temperature in degree Celsius.

Visit

doi.orgzenodo.org

Tags

MATLABAtmospheric temperatureneural networktemperature model

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcodeOpen Accessinfo:eu-repo/semantics/openAccess