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Modelling snowpack surface temperature in the Canadian Prairies using simplified heat flow models by Purushottam Raj Singh; Thian Yew Gan is a Environmental Science article available to read on EtoBox.

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## Abstract Three practical schemes for computing the snow surface temperature __T__~s~, i.e. the force–restore method (FRM), the surface conductance method (SCM), and the Kondo and Yamazaki method (KYM), were assessed with respect to __T__~s~ retrieved from cloud‐free, NOAA‐AVHRR satellite data for three land‐cover types of the Paddle River basin of central Alberta. In terms of __R__^2^, the mean __T__~s~, the __t__‐test and __F__‐test, the FRM generally simulated more accurate __T__~s~ than the SCM and KYM. The bias in simulated __T__~s~ is usually within several degrees Celsius of the NOAA‐AVHRR __T__~s~ for both the calibration and validation periods, but larger errors are encountered occasionally, especially when __T__~s~ is substantially above 0 °C. Results show that the simulated __T__~s~ of the FRM is more consistent than that of the SCM, which in turn was more consistent than that of the KYM. This is partly because the FRM considers two aspects of heat conduction into snow, a stationary‐mean diurnal (sinusoidal) temperature variation at the surface coupled to a near steady‐state ground heat flux, whereas the SCM assumes a near steady‐state, simple heat conduction, and othe

Who reads Modelling snowpack surface temperature in the Canadian Prairies using simplified heat flow models?

Author

Purushottam Raj Singh; Thian Yew Gan

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0885-6087)

Published

2005

Language

EN

Field

Environmental Science (Physical Sciences)