%0 Dataset
%T Temperature and buried ice melting dataset from 1959-2099 at Longbasaba moraine dam
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/2197d695-37fb-4e64-8ae5-41b83fa264d9
%W NCDC
%R 10.12072/ncdc.nieer.db2688.2023
%A Wang Xin
%A Wang Jia
%A Zhang Yanlin
%A Ran Weijie
%A Zhang Yong
%A Wei junfeng
%A Liu Qiao
%A Lei Dongyu
%K Data of temperature;Longbasaba;soil temperature
%X This dataset is based on an automatic meteorological station installed on the moraine dam of Lake Longbasaba to record air temperature data on the moraine dam for the period November 11, 2012 to March 6, 2021. Five ground temperature probes (Campbell 109-L, ±0.2°C) were installed on the dam near the outlet of Lake Longbasaba at depths of 10 cm, 30 cm, 60 cm, 100 cm, and 150 cm, and the sensors were all connected to a data acquisition instrument (Campbell CR3000-XT) that automatically recorded every 10 minutes. Daily mean air temperatures were collected from the Dingri meteorological station (28°38′N, 87°05′E, 4 300 m a.s.l.) from 1960 to 2021, and the soil temperature at 10 cm depth in the Longbasaba moraine dam was interpolated from 1959 to 2021 by a linear soil-air temperature relationship. In addition, the daily average near-surface air temperatures for three future scenarios, SSP1-2.6, SSP2-4.5, and SSP5-8.5, were obtained from the official CMIP6 website (https://esgf-node.llnl.gov/search/cmip6)  for the years 2015-2099, and eight climate models with soil-air temperature correlation coefficients R2 > 0.5 were selected and converted to soil temperature at 10 cm depth of the dam.Using the soil temperature at 10 cm depth of the moraine dam as input data and based on the heat transfer module of COMSOL Multiphysics software, the freeze-thaw process and maximum thawing depth of the dam for the observed period 1959-2021 and the future scenarios SSP1-2.6, SSP2-4.5, and SSP5-8.5 for 2015-2099 were simulated. The melting depth of buried ice inside the dam was also calculated for future scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5. The deformation data of the dam surface were acquired in combination with PS-InSAR technique. This temperature dataset of Longbasaba moraine dam provides the basic data for the study of freeze-thaw processes within the active layer of Longbazaba moraine dam.1. Name of DataTemperature data from Longbasaba automatic meteorological station_2012