Analysis of Characteristics and Influencing Factors of Land Surface Temperature Change in Yunnan Province

Tang, Linfeng; Luo, Yi; Wu, Changhao

doi:10.1007/978-3-031-12015-2_7

Search citation statements

Order By: Relevance

Paper Sections

Select...

Materials Data and Methods1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This data set combines MODIS daily data, monthly data, and meteorological station data to eliminate the missing and low‐quality MODIS values by co‐locating in situ observations, geographically weighted regression method, and regression of the elevation–temperature gradient. The reconstructed LST remote sensing data set has been widely used to analyze the spatiotemporal variations of LST (Amantai & Ding, 2021; Tang et al., 2022) and validate the performance of regional climate model (Tian, Zhang, Wang, et al., 2022; Zhang et al., 2022) due to its high quality. Hereafter, we refer to this data set as merged MODIS.…”

Section: Materials Data and Methodsmentioning

confidence: 99%

Large Uncertainties in Precipitation Exert Considerable Impact on Land Surface Temperature Modeling Over the Tibetan Plateau

Tian

Jiang

et al. 2023

JGR Atmospheres

View full text Add to dashboard Cite

The Tibetan Plateau (TP) is known as the "Third Pole" with average elevation of more than 4, 000 m above sea level (Qiu, 2008). The large uplift of TP forms source of mechanical forcing into the free atmosphere and influences the upper airflow across the Eurasian continent (Molnar et al., 2010;Son et al., 2019;Yuan et al., 2023). Meanwhile, large amount of incoming solar radiation absorbed by plateau surface in daytime induced strong thermal effect, directly heating the middle of troposphere above it (

show abstract