Monthly Archives: November 2023

By: Dr. Shaerdan Shataer Land Surface Temperature (LST) data, an essential component of climate change indicators (CCI), often suffers from data gaps due to various reasons such as cloud coverage, sensor limitations, or data processing issues. These gaps can hinder … Continue reading →

This is not the signal-to-noise paradox, this is just a tribute.  By: Dr. Leo Saffin The signal-to-noise paradox is a recently discovered phenomenon in forecasts on seasonal and longer timescales. The signal-to-noise paradox is when a model has good predictions … Continue reading →

By: Hillary Weller What is the acceptable carbon footprint of climate science? Climate science cannot be done without a carbon footprint, and without climate science we would not know that burning fossil fuels is causing dangerous climate change. So without … Continue reading →