Spatial temperature variation in the Eastern Pyrenees

Pepin, Nick; Kidd, David M.

doi:10.1256/wea.106.06

Cited by 40 publications

(53 citation statements)

References 14 publications

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“…reception of solar radiation, shading, control on air flow), albedo (e.g. percentage vegetation, snow cover), and primary synoptic conditions (see also Pepin and Kidd, 2006), which in many instances interact or dominate over the site-specific factors. The locality of a major escarpment wall (several hundred kilometers in length and ca.…”

Section: Discussionmentioning

confidence: 99%

“…Although relatively few studies have investigated the influence of synoptic variability on lapse rates, it is an important factor to consider given its control on radiative exchange and mixing (Pepin and Kidd, 2006). Typical synoptic patterns that impact the annual climate of the Drakensberg escarpment, as classified by Tyson and Preston-Whyte (2000), include tropical temperature troughs, east coast low pressure systems, and southeast coast ridging high pressure systems that are most dominant during warmer seasons, whilst westerlies, high pressure systems over the interior, cold fronts, and ridging high pressure systems behind cold fronts are most dominant during the cooler seasons.…”

Section: Synoptic Conditions and Temperature Lapse Rates In 2001mentioning

confidence: 99%

See 1 more Smart Citation

Fine-Scale Variations of Near-Surface-Temperature Lapse Rates in the High Drakensberg Escarpment, South Africa: Environmental Implications

Grab

2013

Arctic, Antarctic, and Alpine Research

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Section: Discussionmentioning

confidence: 99%

Section: Synoptic Conditions and Temperature Lapse Rates In 2001mentioning

confidence: 99%

Fine-Scale Variations of Near-Surface-Temperature Lapse Rates in the High Drakensberg Escarpment, South Africa: Environmental Implications

Grab

2013

Arctic, Antarctic, and Alpine Research

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“…However, on stable nights, this assumption is unrealistic and may introduce substantial errors into downscaled temperatures; numerous studies draw attention to the variability of lapse rates of near-surface temperature in complex terrain in the United Kingdom (e.g. Pepin et al, 1999;Pepin, 2001) and elsewhere (Pepin and Kidd, 2006;Marshall et al, 2007, and references therein). For a height difference of 50 m between the model and real terrain, a modest inversion with, say, γ = −0.0100°C m −1 , will lead to an error ≈1°C being introduced by a height correction which assumes γ is equal to the dry adiabatic lapse rate (DALR), γ 0 = 0.0098°C m −1 .…”

Section: Introductionmentioning

confidence: 99%

A simple height-based correction for temperature downscaling in complex terrain

et al. 2010

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ABSTRACT:A new downscaling method has been developed to improve forecasts of near-surface temperature. This involves applying a correction to forecast temperatures to account for the difference in height between the terrain in the forecast model and the real terrain, using an estimate of the lapse rate of temperature. The strongest variations in lapse rate are found to occur overnight, being a function of cloud cover and geostrophic wind speed. These variables similarly influence the night time lapse rate in the UK Met Office Unified Model forecast at 4 km resolution. Therefore, a simple algorithm has been employed to estimate the lapse rate at a given location, based on forecast model temperature and elevation fields. The algorithm has a positive impact on performance in stable conditions, compared to assuming an adiabatic lapse rate at all times.  Crown

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“…This facilitates persistence of snow over the mountain slopes and glaciers for longer period during these post-winter months. SELR variations could also be influenced by factors such as land surface conditions (Pepin and Losleben, 2002;Pepin and Kidd, 2006). However, Kirchner et al (2013) found no significance difference between snow and no snow cover days in lapse rate based on daily mean temperature.…”

Section: Discussionmentioning

confidence: 97%

“…What is required for a snow/glacier model is a SELR model, which delivers the higher elevation temperature distribution based on a single base station temperature data at the lower elevation. Following manifestation of the Clausius-Clapeyron relationship is found to be appropriate for this purpose 25 (Peixoto and Oort, 1992).…”

mentioning

confidence: 98%

Modeling Slope Environmental Lapse Rate (SELR) of temperature in the monsoon glacio-hydrological regime of the Himalaya

Thayyen

Dimri

2016

Preprint

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Moisture, temperature and precipitation interplay forced through the orographic processes sustain and regulate the Himalayan cryospheric system. However, factors influencing the Slope Environmental Lapse Rate (SELR) of temperature along the Himalayan mountain slopes and an appropriate modeling solution remains a key knowledge gap. were assessed in this study. Study suggests moisture-temperature interplay is forcing the seasonal as well as elevation depended variability of SELR. SELR constrianed to the nival-glacier regime is found to be comparable with the saturated adiabatic lapse rate (SALR) and lower than the valley scale SELR. Moisture influx to the region, during Indian summer monsoon (ISM) is found to be lowering the seasonal valley scale SELR to SALR levels during July and August months. Highest valley scale 10 SELR was observed in the months of April, May and June, which susequently lowered to the SALR level with the influx of monsoon moisture. This seasonal variability of SELR is found to be closly linked with the variations in the local lifting condensation levels (LCL). Inter-annual variations in SELR of the nival-glacier regime is found to be significant while that of the valley scale SELR is more stable. Hence, it is proposed to use the valley scale SELR for glacier melt/runoff studies. We propose a simple model for deriving the valley scale SELR of monsoon regime using a derivative of the

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Spatial temperature variation in the Eastern Pyrenees

Cited by 40 publications

References 14 publications

Fine-Scale Variations of Near-Surface-Temperature Lapse Rates in the High Drakensberg Escarpment, South Africa: Environmental Implications

Fine-Scale Variations of Near-Surface-Temperature Lapse Rates in the High Drakensberg Escarpment, South Africa: Environmental Implications

A simple height-based correction for temperature downscaling in complex terrain

Modeling Slope Environmental Lapse Rate (SELR) of temperature in the monsoon glacio-hydrological regime of the Himalaya

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