2009
DOI: 10.1175/2009jcli2845.1
|View full text |Cite
|
Sign up to set email alerts
|

Near-Surface Temperature Lapse Rates over Arctic Glaciers and Their Implications for Temperature Downscaling

Abstract: Distributed glacier surface melt models are often forced using air temperature fields that are either downscaled from climate models or reanalysis, or extrapolated from station measurements. Typically, the downscaling and/or extrapolation are performed using a constant temperature lapse rate, which is often taken to be the free-air moist adiabatic lapse rate (MALR: 68-78C km 21 ). To explore the validity of this approach, the authors examined altitudinal gradients in daily mean air temperature along six transe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

19
193
1
4

Year Published

2013
2013
2018
2018

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 169 publications
(217 citation statements)
references
References 45 publications
19
193
1
4
Order By: Relevance
“…Snow and ice melt models often use temperature lapse rates, that is, linear temperature decreases with increasing elevation to extrapolate point temperature measurements to the domain of interest (e.g., Hock & Holmgren 2005;Gardner et al 2009). Here, we use the mean daily temperature measurements at Tarfala and at the PACE borehole site, located 410 m higher than Tarfala (Fig.…”
Section: Temperature Lapse Ratesmentioning
confidence: 99%
“…Snow and ice melt models often use temperature lapse rates, that is, linear temperature decreases with increasing elevation to extrapolate point temperature measurements to the domain of interest (e.g., Hock & Holmgren 2005;Gardner et al 2009). Here, we use the mean daily temperature measurements at Tarfala and at the PACE borehole site, located 410 m higher than Tarfala (Fig.…”
Section: Temperature Lapse Ratesmentioning
confidence: 99%
“…To overcome these issues, forcing data can be obtained by extrapolation from point measurements by automated weather stations, where available, or interpolation from climate reanalyses and atmospheric model output, using surface-and free-air lapse rates. Surface lapse rates exhibit significant spatial and temporal variability, however, leading to uncertainty in temperature downscaling from altitude changes (Marshall et al, 2007;Gardner et al, 2009;Petersen and Pellicciotti, 2011). In addition, the assumption of linear lapse rates over glacier surfaces may be inappropriate (Petersen and Pellicciotti, 2011) and may under-predict nearsurface temperature over debris-covered regions (Reid et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Since the along-slope lapse rate is generally smaller than the free-atmosphere lapse rate (e.g. Marshall et al, 2007;Gardner et al, 2009;Minder et al, 2010), its use leads to an overestimation of the temperature changes with elevation. In order to artificially reduce the value of the vertical lapse rate in the model, we apply a global tunable correcting factor (f s in Eq.…”
Section: Temperature Profilementioning
confidence: 99%