EVALUATION OF TRMM-3B42V7 AND PERSIANN-CDR DAILY-PRECIPITATION PRODUCTS FOR THE SOUTHERN SLOPES OF ALBORZ MOUNTAINS, IRAN

An effective method of understanding permafrost dynamics due to climate change is numerical modeling. The research work established a novel numerical approach to assess the required level of surface process complexity and set up a numerical model at the Yakou catchment in the Qinghai-Tibet Plateau. The main research findings were that permafrost thawing was not well represented by considering only subsurface processes, and liquid precipitation increased the rate of permafrost degradation.

We present the structure and performance of the early warning system (EWS) for glacier collapse and river blockages in the southeastern Tibetan Plateau. The EWS warned of three collapse–river blockage chain events and seven small-scale events. The volume and location of the collapses and the percentage of ice content influenced the velocities of debris flows. Such a study is helpful for understanding the mechanism of glacier hazards and for establishing similar EWSs in other high-risk regions.

This study presents insights into the remote cryosphere of a mountain range at the Tibetan Plateau. Small-scaled studies and field data about permafrost occurrence are very scarce. A multi-method approach (geomorphological mapping, geophysics, InSAR time series analysis) assesses the lower occurrence of permafrost the range of 5350 and 5500 m above sea level (a.s.l.) in the Qugaqie basin. The highest, multiannual creeping rates up to 150 mm/yr are observed on rock glaciers.

The paper presents original research about storm movement effects on runoff modelling at the basin scale instead of the conventional laboratory scale. It is essential to find that neglecting storm movement may bring artifacts to parameters when calibrating hydrological models; slow movement of storm has a more significant effect on hydrograph; storm movement on hydrograph modelling becomes visible only when the study area is divided into sub-basins.