Seven wood sorption models available in the literature were parameterized for prediction of equilibrium moisture content for temperatures up to 220ºC. The criterion used to evaluate the models is the uncorrected sum of squares of differences between the predicted equilibrium moisture content and experimental values published in literature for temperatures between 0ºC and 160ºC. The results show that the Malmquist model gave the best overall fit to experimental data for the relative humidities considered (40%, 52%, 65%, 75% and 85%). However, the García model performs better for temperatures between 110ºC and 155ºC at a relative humidity of 85%. Therefore, the choice of the sorption model depends on the specific hygrothermal conditions required by the user.