This page offers a brief sample of forecasts I’ve produced which appear to rank as the most accurate long range climate projections in the world in their respective categories.  This is a serious claim and any are invited to explore and/or cite other forecasts which can compare.  Unlike conventional parametric products or projections based on uncalibrated global circulation models (GCMs), my forecasts derive from long term lagged correlations between precursors identified through my research efforts.  These are accordingly Cross Regression Moving Average (CRMA) exercises.  In the examples below, a training period is utilized to show the ability of the method from an early time through to the end of the year 2016.  The actual prediction period (the test period) follows from that point on.


I first published this 3 year advance forecast of a 60 month average for a stream in the Southern Rocky Mountains in early 2016.   (CLICK ON THE FOLLOWING CHART TO ANIMATE)

The projections of this forecast continue to demonstrate high fidelity to the subsequent streamflow observation record.  For example, the following chart shows a summary of the accuracy performance of all of my streamflow forecasts that I have posted at this site since the end of 2015, and compares those to the accuracy of predictions by the West-Wide Climate Assessment (magenta points) for a stream in the same region.  This chart demonstrates that MWA’s forecasts are significantly more accurate than the ruling emissions-based climate change paradigm.  A more comprehensive description of this comparison is available at this update.



Also in early 2016, I first published this 8 year advance forecast of a 60 month average of the Atlantic Multidecadal Oscillation (AMO), which is an integrated index of surface temperatures across the Atlantic Ocean.  The AMO is widely known as one of the most important natural temperature indexes of our time.  (CLICK ON THE FOLLOWING CHART TO ANIMATE)


Again, the projections of this forecast continue to demonstrate high fidelity to the subsequent AMO observation record.   Links of relevant interest that also develop further statistical performance metrics include this original post, and this followup post.

It may bear repeating that these successful projections continue to pose a significant challenge to consensus driven anthropogenic global climate change promotions.  Moreover, they offer a substantial improvement to more conventional forecast methodologies.

The underlying methods which yielded this record of success are based on unique approaches and perspectives regarding hydrology, the atmospheric circulation, and solar forcing.  The components of each are featured in posts at this site and in a set of papers and research in progress.   Any reader is encouraged to explore the interconnected climate topics here and to ask questions of their favored experts which may relate.