Translate 
Abstract
Inferring Urban Air Temperatures From Land Surface Temperatures With the E3SM Land Model (uELM), Satellite Observations, and Measurement Campaign
Highlights
OF ANALYSIS A. ultrahigh-resolution land model (uELM) OVERVIEW This study utilizes the ultrahigh-resolution E3SM Land Model, which operates at a 1 Km × 1 Km spatial resolution
land surface temperature (LST)-T2M RELATIONSHIP IN uELM Figure 2 presents an overview of how T2M and LST are related under the full range of land-cover configurations tested in uELM
This means that the variability of T2M is higher under direct sunlight and the variability of LST is higher during nighttime
Summary
The impacts of rising global temperatures are increasingly evident across various aspects of the climate system. These include more severe and frequent hurricanes, extreme heat events, intensified precipitation, flooding, and prolonged droughts. Extreme heat events stand out as one of the most direct and observable consequences of climate change. In this context, accurate estimates of urban near-surface air temperature, or 2-m air temperature (T2M) are crucial for a variety of urban applications—including public health surveillance during heat waves [1], [2], [3], energy-demand forecasting [4], The associate editor coordinating the review of this manuscript and approving it for publication was Stefania Bonafoni. Mobile or vehicle-based sensors can enhance data density but are costly and logistically challenging to maintain at scale over extended periods
Sign-in/Register to view highlights & summary 
Published Version
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
