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Impact of temporal resolution of precipitation forcing data on modelled urban‐atmosphere exchanges and surface conditions
Author(s) -
Ward H. C.,
Tan Y. S.,
Gabey A. M.,
Kotthaus S.,
Grimmond C. S. B
Publication year - 2018
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.5200
Subject(s) - environmental science , precipitation , forcing (mathematics) , temporal resolution , surface runoff , climatology , interception , range (aeronautics) , atmospheric sciences , meteorology , geology , ecology , physics , materials science , quantum mechanics , composite material , biology
Coarse temporal resolution precipitation forcing data leads to an over/underestimation in modelled evaporation/runoff. The bias is largest on rainy days, but differences in antecedent conditions (soil moisture or surface wetness) can cause deviations even on days without rain. Applying a rainfall disaggregation scheme that accounts for the intermittency of rainfall helps reduce the error. Daily total evaporation E normalized by the reference case (5‐min precipitation forcing data, PFD) for various temporal resolutions of PFD for Swindon 2012. Each line represents an individual day coloured according to daily total rainfall P (legend, number of days given in brackets). Thick lines indicate median values.