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Land surface dynamics and meteorological forcings modulate land surface temperature characteristics

Journal Article · · Sustainable Cities and Society
 [1];  [2];  [3];  [3];  [3];  [4];  [5]
  1. City University of Hong Kong, Kowloon (Hong Kong); Griffith University, Nathan (Australia)
  2. Baylor University, Waco, TX (United States)
  3. University of Illinois, Chicago, IL (United States)
  4. Griffith University, Nathan (Australia)
  5. University of Illinois, Chicago, IL (United States); Argonne National Laboratory (ANL), Argonne, IL (United States). Environmental Science Division
This study examines the effect of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics (LVCET) on land surface temperature (LST) distribution over West Africa (WA). We employ fourteen machine-learning models, which preserve nonlinear relationships, to downscale LST and other predictands while preserving the geographical variability of WA. Our results showed that the random forest model performs best in downscaling predictands. This is important for the sub-region since it has limited access to mainframes to power multiplex machine-learning algorithms. In contrast to the northern regions, the southern regions consistently exhibit healthy vegetation. Also, areas with unhealthy vegetation coincide with hot LST clusters. The positive Normalized Difference Vegetation Index (NDVI) trends in the Sahel underscore rainfall recovery and subsequent Sahelian greening. The southwesterly winds cause the upwelling of cold waters, lowering LST in southern WA and highlighting the cooling influence of water bodies on LST. Identifying regions with elevated LST is paramount for prioritizing greening initiatives, and our study underscores the importance of considering LVCET factors in urban planning. Topographic slope-facing angles, heat loads, and diurnal anisotropic heat all contribute to variations in LST, emphasizing the need for a holistic approach when designing resilient and sustainable landscapes.
Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
Australian Research Council; USDOE
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
2350897
Journal Information:
Sustainable Cities and Society, Journal Name: Sustainable Cities and Society Vol. 101; ISSN 2210-6707
Publisher:
ElseiverCopyright Statement
Country of Publication:
United States
Language:
English

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