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Adapting rain data for hygrothermal models

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1016/j.buildenv.2008.07.002
AuthorSearch for: 1; Search for:
Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
Subjecthygrothermal-simulation; modeling; moisture; building envelope; wind-driven rain; climate; stochastic modeling
Abstract
This paper examines several methods for assigning quantitative values to weather observations available in Canada. Real data, such as data from rain gauges , is preferable although the latter have shortcomings. Differences in catch can be up to 50% depending on gauge type, size, and exposure. When only rain codes are available the values recommended by the local meteorological service can provide adequate estimates. In case where there is observer bias a better estimate can be obtained by adjusting the value for light rainfall. If very little information is available stochastic modeling of rainfall is possible though the accuracy, especially for individual months is low.
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  • Building and environment 44, no. 5: 987–996.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 50832
NRC-IRC-19914
NPARC number20377166
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Record identifier816e505a-5971-4302-9b29-bc21f0e23f53
Record created2012-07-24
Record modified2020-04-15
Date modified: