To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

Spatial distribution of s… - University of Gothenburg, Sweden Till startsida
Sitemap
To content Read more about how we use cookies on gu.se

Spatial distribution of sensible and latent heat flux in the URBANFLUXES case study city Basel (Switzerland)

Conference paper
Authors Christian Feigenwinter
Eberhard Parlow
Roland Vogt
Michael Schmutz
Nektarios Chrysoulakis
Fredrik Lindberg
Mattia Marconcini
Fabio del Frate
Published in 2017 Joint Urban Remote Sensing Event (JURSE). Dubai; United Arab Emirates; 6-8 March 2017
ISBN 978-1-5090-5809-9
Publication year 2017
Published at Department of Earth Sciences
Language en
Links https://doi.org/10.1109/JURSE.2017....
Keywords atmospheric humidity, atmospheric temperature, geographic information systems, latent heat, wind, Aerodynamic Resistance Method, Basel city, Earth Observation data, Eddy Covariance method, GIS-Techniques, Switzerland, air temperature, latent heat flux, meteorological conditions, micrometeorological approaches, spatial distribution, turbulent sensible heat fluxes, water vapor saturation deficit, weighted source area, wind speed, Atmospheric modeling, Earth, Heating systems, Poles and towers, Remote sensing, Satellites, Urban areas, Earth Observation, Eddy Covariance, GIS, URBANFLUXES, Urban Energy Balance
Subject categories Physical Geography, Meteorology and Atmospheric Sciences

Abstract

Turbulent sensible and latent heat fluxes are calculated by a combined method using micrometeorological approaches (the Aerodynamic Resistance Method ARM), Earth Observation (EO) data and GIS-Techniques. The spatial distributions of turbulent heat fluxes were analyzed for 22 for the city of Basel (Switzerland), covering all seasons and different meteorological conditions. Seasonal variations in heat fluxes are strongly dependent on meteorological conditions, i.e. air temperature, water vapor saturation deficit and wind speed. The agreement of measured fluxes (by the Eddy Covariance method) with modeled fluxes in the weighted source area of the flux towers is moderate due to known drawbacks in the modelling approach and uncertainties inherent to EC measurements, particularly also in urban areas.

Page Manager: Webmaster|Last update: 9/11/2012
Share:

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?