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Cited by 527

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

A review of methods for estimating anthropogenic heat and moisture emissions in the urban environment

Sailor, David J.·2011·International Journal of Climatology

Abstract

Energy consumption in the urban environment impacts the urban surface energy budget and leads to the emission of anthropogenic sensible heat and moisture into the atmosphere. Anthropogenic heat and moisture emissions vary significantly both in time and space, and are not readily measured. As a result, detailed models of these emissions are not commonly available for most cities. Furthermore, most attempts to quantify anthropogenic emissions have focused on the sensible heat component, largely ignoring moisture emissions and invoking assumptions—such as the equivalence of energy consumption and anthropogenic sensible heating—which limit the accuracy of the resulting anthropogenic heating estimates. This paper provides a historical perspective of the development of models of energy consumption in the urban environment and the associated anthropogenic impacts on the urban energy balance. It highlights some fundamental limitations of past approaches and suggests a roadmap forward for including anthropogenic heat and moisture in modelling of the urban environment. Copyright © 2010 Royal Meteorological Society

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Metadata

Authors
Sailor, D. J.
Venue
International Journal of Climatology
Publisher
Wiley
Published
2011-01-20
Volume
31
Issue
2
Pages
189-199
ISSN
  • 0899-8418 (ISSN-L)
  • 1097-0088
OpenAlex
W2165878297
Cited by
527
References
29
FWCI
15.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A review of methods for estimating anthropogenic heat and moisture emissions in the urban environment. https://app.cochat.ai/papers/10.1002/joc.2106
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Sailor, D. J. (2011). A review of methods for estimating anthropogenic heat and moisture emissions in the urban environment. International Journal of Climatology. https://doi.org/10.1002/joc.2106

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.