Moisture content influences the calorific value of fuel wood and is classified as an important quality criterion. This paper discusses modelling moisture content in fuel wood windrows. For this purpose, a windrow of pine stems (Pinus sylvestris) in a frame, based on load sensors, was erected. Next to the frame, a meteorological station was set up. Relative humidity, wind speed, temperature, rainfall and total pile mass were recorded every ten minutes. The investigation period covers December 2009 to February 2011. Statistical analysis was carried out by multiple linear regression models. Equations were found to predict moisture content, based on daily averages up to 0.53% average deviation over 14 months. Moisture content in the pile decreased from December 2009 until February 2011 from 50.09% to 32.15%. From May to June, drying rates up to 4.5% were observed. In autumn moisture content increased by 1.6%. Dry matter loses ranged around 5% in the investigation period. Further the effect of heavy rainfall on the moisture content was investigated. Heavy rainfall events can cause a rise in moisture content and a slowdown in drying for several days. A cost-benefit-analysis showed that drying allowed an interest rate of 60% in comparison with 2% without.