湖北农业科学 ›› 2022, Vol. 61 ›› Issue (5): 152-159.doi: 10.14088/j.cnki.issn0439-8114.2022.05.027

• 农业气象 • 上一篇    下一篇

塔克拉玛干沙漠地表温度时空变化特征研究

王远弘1, 吴新萍2, 买买提艾力·买买提依明3, 刘凯露1, 刘永强1   

  1. 1.新疆大学资源与环境科学学院,乌鲁木齐 830046;
    2.新疆且末县塔中气象站,新疆 且末 841000;
    3.中国气象局乌鲁木齐沙漠气象研究所/中国气象局塔克拉玛干沙漠气象野外科学试验基地,乌鲁木齐 830002
  • 收稿日期:2020-11-16 出版日期:2022-03-10 发布日期:2022-04-01
  • 通讯作者: 刘永强(1969-),男,教授,主要从事沙漠陆面模式研究,(电子信箱)lyqxju@163.com。
  • 作者简介:王远弘(1997-),女,重庆人,在读硕士研究生,研究方向为陆面过程,(电话)18299171955(电子信箱)wangyh227@163.com。
  • 基金资助:
    国家自然科学基金项目(41675011)

Spatial and temporal variation of land surface temperature in Taklamakan desert

WANG Yuan-hong1, WU Xin-ping2, ALI Mamtimin2, LIU Kai-lu1, LIU Yong-qiang1   

  1. 1. College of Resources & Environmental Sciences, Xinjiang University, Urumqi 830046, China;
    2. Tazhong Weather Station of Qiemo,Qiemo 841000,Xinjing,China;
    3. Institute of Desert Meteorology, China Meteorological Administration, Urumqi /Taklimakan Desert Meteorology Field Experiment Station of CMA, Urumqi 830002, China
  • Received:2020-11-16 Online:2022-03-10 Published:2022-04-01

摘要: 地表温度(LST)是重要的气候变量之一,是陆面过程地-气相互作用的一个重要参数。研究利用塔克拉玛干沙漠腹地2017年观测数据,分析该地区地表温度年内变化特征。结果表明,沙漠腹地地表温度季节变化明显,昼夜温度变化波动幅度大,年内日均温最高值出现在7月,最低值出现在1月,四季的日内温度变化特征基本一致,日最低温均出现在当地时间6:00,最高温出现在13:00。利用实测值验证了CLDAS地表温度产品在沙漠地区的适用性,在四类不同天气下与观测值的相关系数均大于0.8,晴天相关系数可达0.99,故利用CLDAS产品对塔克拉玛干沙漠区域晴天的地表温度时空变化进行分析和研究。整个沙漠区域的昼夜温差比沙漠周围的绿洲高6 ℃。

关键词: 塔克拉玛干沙漠, 地表温度, CLDAS

Abstract: The surface temperature (LST) is one of the important climate variables and an important parameter of the ground-gas interaction of land surface processes. This paper used the observed data in 2017 in the hinterland of the Taklamakan desert to analyze the annual variation characteristics of surface temperature in this area. The results showed that the surface temperature in the desert hinterland had obvious seasonal changes, and the diurnal temperature fluctuated greatly. The annual average daily temperature highest value appeared in July, the lowest value appeared in January, and the day temperature variation characteristics of the four seasons were basically the same. The daily lowest temperature all appeared at 6 o’clock local time, and the highest temperature appeared at 13 o’clock. CLDAS was validated by the measured surface temperature of the applicability of the product in the desert, under the four kinds of different weather and the observation value of correlation coefficients were greater than 0.8, in clear weather, the correlation coefficient of 0.99, so using CLDAS products of the Taklamakan desert areas sunny spatial and temporal variation analysis and research, the surface temperature of the desert regions of the temperature change was highly affected by the changes in solar radiation, temperature difference between day and night 6 ℃ higher than around the desert oasis.

Key words: Taklimakan desert, land surface temperature, CLDAS

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