The paper investigates the height and temperature fields reanalysis data of NCEP/NCAR by means of detrended fluctuation analysis method, and gives their scaling exponent distribution of East Asia region. The empirical investigation indicates that both of height field and temperature filed have the property of long range correlation, which matches with the features of space distribution as a whole. As for the grid data of the same layer, the long range correlation varies obviously when the latitude changes. The low-latitude areas near the equator have a bigger scaling exponent and a better long range correlation, whereas the mid-latitude and high latitude areas have a smaller scaling exponent and a worse long range correlation. The average scaling exponent increases with the layer growth of height field data, and the scaling exponent varies obviously when the latitude changes. The scaling exponent of Qinghai-Tibet Plateau is obviously greater than other areas at the same latitude. For the data of temperature, the average scaling exponent first decreases with the layer growth then increases, and the average scaling exponent has a definite latitude trait. All in all, the scaling exponent of height field’s long range correlation is greater than that of temperature field. The investigation for different seasons displays that the long range correlation exists in height field and temperature field as well. And we find that the scaling exponent of winter time is greater than that of other seasons. This may provide a theory for the summer flood season forecast which is based on the winter information.