What is it about?
This paper is about calibrating and generating current and future climate scenarios using the Long Ashton Research Station Weather Generator. It covers the whole aspect of conducting a statistical downscaling procedure and issues involved in using LARS-WG
Featured Image
Why is it important?
It is important to ascertain the future climate change relative to the baseline as to suggest adaptation and mitigation strategies required in planning for the future.
Perspectives
Precipitation and temperature variables were modeled with good accuracy and LARS-WG could be used with high confidence to reproduce the current and future climate scenarios for Mt Makulu, Zambia.
Dr. Charles Bwalya Chisanga
Copperbelt University
Read the Original
This page is a summary of: Statistical Downscaling of Precipitation and Temperature Using Long Ashton Research Station Weather Generator in Zambia: A Case of Mount Makulu Agriculture Research Station, American Journal of Climate Change, January 2017, Scientific Research Publishing, Inc,,
DOI: 10.4236/ajcc.2017.63025.
You can read the full text:
Contributors
The following have contributed to this page
