Arid
天山北坡绿洲荒漠区高时空分辨率日均气温数据集构建以三工河流域为例
其他题名Construction of mean air temperature datasets with high temporal and spatial resolution in oasis-desert region: A case study of Sangong River Basin on the northern slope of Tianshan Mountains
王新新; 罗格平; 叶辉; 张琪; 蔡鹏; 张苗
来源期刊地理研究
ISSN1000-0585
出版年2017
卷号36期号:1页码:49-60
中文摘要气温是刻画由下垫面不同导致的绿洲荒漠区水热格局差异并分析其相互作用的关键参量。现有的温度数据集(CRU、MERRY、MODIS等),空间分辨率均无法满足绿洲荒漠相互作用研究的百米级精度要求。基于LandsatTM影像,通过遥感反演及统计模型估算三工河流域卫星过境日期日均气温空间数据,利用日均气温计算气温相对变化速率,以此推算卫星非过境日期的日均气温。结果显示:估算卫星过境日期日均气温的平均RMSE为1.54 ℃:,绝对误差为0.50~2.87 ℃。气温相对变化速率为沙质荒漠(1.12)>土质荒漠(1.03)>建设用地(0.97)>农田(0.80)>低山丘陵(0.76);卫星非过境日期日均气温计算值与实测值具有较好的相关性, R~2> 0.90,P < 0.05, RMSE=2.34 ℃。
英文摘要Air temperature is one of key indicators reflecting the spatial hydrothermal heterogeneity, and it is also an indispensable factor driving ecological models or land surface models. Currently, the leading temperature datasets include Climatic Research Unit (CRU), The Climate Forecast System Reanalysis (CFSR),Moderate Resolution Imaging Spectroradiometer(MODIS), but their spatial resolutions are so coarse that they cannot efficiently characterize the difference of heterogeneous hydrothermal patterns in a medium-scale oasis-desert ecosystem in arid regions. So the construction of mean air temperature datasets with high temporal and spatial resolution is crucial for investigating ecological interactions between oasis and desert ecosystems. The Landsat TM/ETM/OLI images, whose spatial resolution of thermal infrared band is 120 m, might be the effective data source for retrieving the daily mean air temperature datasets, which could meet the requirements for effectively representing the interactions between oasis and desert ecosystems. In this paper, firstly, the single-channel algorithm was used to estimate the land surface temperature (LST) based on Landsat TM images. The instantaneous air temperature imageries were retrieved using Zaksek’s algorithm. Then, the daily mean air temperature imageries were created based on the instantaneous temperature imageries, and the relative change rates of air temperature (R-rates) for land-cover types were calculated using the spatial daily mean air temperature imageries in different seasons. Finally, the daily mean air temperature datasets were constructed based on the mean air temperature imageries and R-rates. The R-rates showed great spatial heterogeneity in the Sangong River Basin. The R-rates of sandy desert, soil desert, reference station, cropland and hills was 1.12,1.03, 0.97, 0.80 and 0.76, respectively, compared with built-up areas. Estimated daily mean air temperature and observed values at different weather stations showed a significant linear correlation (P<0.05). The daily mean air temperature datasets retrieved in this paper could effectively characterize the hydrothermal distribution pattern in oasis-desert ecosystems. The method used in the paper might provide a reference for retrieving the maximum and minimum air temperature.
中文关键词Landsat TM影像 ; 气温相对变化速率 ; 日均气温数据集 ; 绿洲荒漠区 ; 三工河流域
英文关键词Landsat TM images the relative change rate of air temperature mean air temperature datasets oasis-desert region Sangong River Basin
语种中文
国家中国
收录类别CSCD
WOS类目METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向Meteorology & Atmospheric Sciences
CSCD记录号CSCD:5907311
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/235762
作者单位中国科学院新疆生态与地理研究所, 荒漠与绿洲生态国家重点实验室, 乌鲁木齐, 新疆 830011, 中国
推荐引用方式
GB/T 7714
王新新,罗格平,叶辉,等. 天山北坡绿洲荒漠区高时空分辨率日均气温数据集构建以三工河流域为例[J]. 中国科学院新疆生态与地理研究所,2017,36(1):49-60.
APA 王新新,罗格平,叶辉,张琪,蔡鹏,&张苗.(2017).天山北坡绿洲荒漠区高时空分辨率日均气温数据集构建以三工河流域为例.地理研究,36(1),49-60.
MLA 王新新,et al."天山北坡绿洲荒漠区高时空分辨率日均气温数据集构建以三工河流域为例".地理研究 36.1(2017):49-60.
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