Vegetation effects on mean daily maximum and minimum surface air temperatures over China

Changes in the daily maximum (T _max) and minimum (T _min) surface air temperatures and the associated temperature extremes have severe consequences on human society and the natural environment. In this study, we assess vegetation effects on mean T _max and T _min over China by computing a vegetation feedback parameter using the satellite-sensed Normalized Difference Vegetation Index (NDVI) and observed temperatures for the period 1982–2002. In all seasons, vegetation exerts a much stronger forcing on T _max than on T _min, and thus has a substantial effect on the diurnal temperature range (DTR) over China. Significant positive feedbacks on T _max and the DTR occupy many areas of China with the feedback parameters exceeding 1°C (0.1 NDVI)⁻¹, while significant negative effects only appear over the summertime climatic and ecological transition zone of northern China and some other isolated areas. Also, the vegetation feedbacks are found to vary with season. In areas where significant feedbacks occur, vegetation contributes to typically 10%–30% of the total variances in T _max, T _min, and the DTR. These findings suggest that vegetation memory offers the potential for improving monthly-to-seasonal forecasting of T _max and T _min, and the associated temperature extremes over China. Meanwhile, the limitations and uncertainties of the study should be recognized.