Global Warming Prediction Project
Global Warming Prediction Project
Monthly Predictions: September 2009 to August 2012
15.01.2010
This is the first set of monthly predictions which is available on this site.
One set contains a prediction for the entire globe and predictions of both land air (lat) and sea surface temperature (sst) anomalies for nine latitudinal areas. Each area represents a 20° wide ring around the globe. Each single prediction is described by an individual prediction interval of high, most likely, and low prediction values. The results for each area is shown in a separate slide and every slide in a set shows the predictions of the coming 36 months along with the observed averaged values of the past 36 months and the corresponding predictions for this period generated at earlier times for reference. A linear trend based on observed temperatures and most likely predictions summarizes the development of the anomalies in the displayed period. (more...)
TRENDS
Global temperature anomalies stay unchanged at 0.4°C.
Largest expected warming at 70N-50N_sst with 0.0055°C per month (0.4°C in 6 years).
Largest expected cooling at 70N-50N_lat with -0.0069°C per month (-0.5°C in 6 years; mainly due to exceptionally high temperatures in Dec 06 and Jan 07).
Land air temperatures are in average slightly falling (6 out of the 9 regions show a falling trend, for only one area a warming is expected).
Sea surface temperatures are in average slightly growing (5 out of 9 regions show a growing and 2 a falling trend).
On the northern hemisphere temperatures are rather falling including the artic region with the one exception, 70N-50N_sst.
On the southern hemisphere temperatures in almost all regions are rising, especially in the oceans including the antarctic sea.
The objective of this project is doing monthly modeling and prediction of global temperature anomalies through self-organizing knowledge extraction from public data. The project is impartial and has no hidden personal, financial, political or other interests. It is entirely independent, transparent, and open in results.