Reconstruction of surface temperature data and analysis of spatial and temporal changes in North America

MAO Kebiao; YAN Yibo; CAO Mengmeng; YUAN Zijin; QIN Zhihao

doi:10.6046/zrzyyg.2021254

2022 Vol. 34, No. 4

Article Contents

Article navigation > Remote Sensing for Natural Resources > 2022 > 34(4): 203-215

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MAO Kebiao, YAN Yibo, CAO Mengmeng, YUAN Zijin, QIN Zhihao. 2022. Reconstruction of surface temperature data and analysis of spatial and temporal changes in North America. Remote Sensing for Natural Resources, 34(4): 203-215. doi: 10.6046/zrzyyg.2021254

Citation:

MAO Kebiao, YAN Yibo, CAO Mengmeng, YUAN Zijin, QIN Zhihao. 2022. Reconstruction of surface temperature data and analysis of spatial and temporal changes in North America. Remote Sensing for Natural Resources, 34(4): 203-215. doi: 10.6046/zrzyyg.2021254

Reconstruction of surface temperature data and analysis of spatial and temporal changes in North America

1. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China；
2. School of Physics and Electronic-Engineering, Ningxia University, Yinchuan 750021, China

Received Date: 16 August 2021

Revised Date: 15 December 2022

Publish Date: 27 December 2022

Abstract

Abstract

Surface temperature is an important indicator that reflects the regional natural environment and climate changes. High-quality data are very valuable for the study of the temporal and spatial changes in regional surface temperature. In recent years, North America has witnessed relatively abnormal climate changes, thus the surface temperature in this region has great study significance. Based on the MODIS surface temperature data, this study reconstructed the remotely sensed surface temperature data set of North America from 2002 to 2018 and analyzed the spatial and temporal changes in surface temperature over the past 17 years. The reconstructed surface temperature data cover all land surfaces of North America and guarantee precision of about 1 ℃. The analysis results are as follows. North America had a fluctuating temperature increase at an average rate of 0.02 ℃/a in the past 17 years. A historical peak in surface temperature increase occurred in 2016, followed by a sharp drop in the following two years, which was closely related to El Nino. In North America, the temperature increase was greater in spring and autumn than in winter and summer. In recent years, northern Alaska and the Baja California peninsula have experienced significant warming. Vegetation and atmospheric water vapor significantly affect the change in surface temperature. Vegetation and atmospheric water vapor are positively correlated with surface temperature in the north of 40°N, while they are negatively correlated in the south of 40°N. The general changing trend of surface temperature in the next 1~2 years can be predicted to a certain degree of reliability according to the periodic fluctuation trend of the average surface temperature in North America and the influence of El Nino.
- data reconstruction /
- surface temperature /
- MODIS /
- temporal and spatial changes

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References

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