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The impacts of extreme heat events are amplified in cities due to unique urban thermal properties. Urban greenspace mitigates high temperatures through evapotranspiration and shading; however, quantification of vegetative cooling potential in cities is often limited to simple remote sensing greenness indices or sparse, in situ measurements. Here, we develop a spatially explicit, high-resolution model of urban latent heat flux from vegetation. The model iterates through three core equations that consider urban climatological and physiological characteristics, producing estimates of latent heat flux at 30-m spatial resolution and hourly temporal resolution. We find strong agreement between field observations and model estimates of latent heat flux across a range of ecosystem types, including cities. This model introduces a valuable tool to quantify the spatial heterogeneity of vegetation cooling benefits across the complex landscape of cities at an adequate resolution to inform policies addressing the effects of extreme heat events.
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2m processed sensible and latent heat flux, friction velocity and stability at EastGRIP site on Greenland Ice Sheet, summer 2019
Processed 30 minute surface sensible and latent heat flux including quality control flags after Foken et al. (2012). The latent heat flux was calculated assuming a latent heat of sublimation of 2834 J/g snow. Friction velocity and Monin-Obukhov stability parameter estimates are provided for convenience. Processing software was EASYFLUX DL provided by Campbell Scientific.The timestamps indicate the beginning of the 30 minute averaging period . The IRGASON was installed at 2.15m facing the prevailing wind direction.
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- Award ID(s):
- 1804098
- PAR ID:
- 10648172
- Publisher / Repository:
- PANGAEA
- Date Published:
- Subject(s) / Keyword(s):
- DATE/TIME Heat, flux, sensible Quality flag Heat, flux, latent Friction velocity Monin-Obukhov stability Weather station/meteorological observation Eddy-Covariance Analyzer, Campbell Scientific, Inc., IRGASON [combined infrared gas analyzer (IRGA) and 3D sonic (SON) anemometer] East Greenland Ice-core Project (EGRIP) Signals from the Surface Snow: Post-Depositional Processes Controlling the Ice Core Isotopic Fingerprint (SNOWISO)
- Format(s):
- Medium: X Size: 18969 data points Other: text/tab-separated-values
- Size(s):
- 18969 data points
- Location:
- https://doi.org/10.1594/PANGAEA.928827
- Sponsoring Org:
- National Science Foundation
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