Minimum temperature mapping over complex terrain by estimating cold air accumulation potential

Chung, Uran; Seo, Hee-Chul; Hwang, Kyotaek; Hwang, Bohyun; Choi, Jee Woong; Lee, J.T.; Yun, Jin I.

doi:10.1016/j.agrformet.2005.12.011

Cited by 83 publications

(65 citation statements)

References 11 publications

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“…The formation of cold pools depends on the terrain and land use and the problem has been approached using a number of different forecasting strategies (e.g. Gustavsson et al, 1998;Blennow and Persson, 1998;Eriksson and Norrman, 2001;Jarvis and Stuart, 2001;Chung et al, 2006;Lundquist et al, 2008). Commonly cited causes are (1) topographic sheltering, reducing turbulent mixing-down of warmer air to the surface and (2) drainage flows which katabatically feed cold air from elevated surface locations to lower lying areas.…”

Section: Discussionmentioning

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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Section: Discussionmentioning

confidence: 99%

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

et al. 2010

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“…We calculated daily minimum temperatures at the 14 validation sites from 5 July 2013 to 31 December 2014, following Chung et al (2006), Kim and Yun (2011), and Kim et al (2012). The results were compared with the observations.…”

Section: Validation Of Temperature Estimatesmentioning

confidence: 99%

“…Chung et al (2006) assumed cold-air flow to be the same as water flow, and the original model estimates the temperature decrease by considering cold-air accumulation at a given location as water-like free drainage.…”

Section: Daily Minimum Temperaturementioning

confidence: 99%

“…The model selected for daily minimum temperature (T n ) estimation was based on the work of Chung et al (2006), which added the correction terms for cold air drainage caused by nocturnal radiative cooling and the resultant thermal belt effect to a conventional lapse rate model (Thornton et al, 1997;Bolstad et al, 1998;Nalder and Wein, 1998). Chung et al (2006) assumed cold-air flow to be the same as water flow, and the original model estimates the temperature decrease by considering cold-air accumulation at a given location as water-like free drainage.…”

Section: Daily Minimum Temperaturementioning

confidence: 99%

“…In summary, the procedure for daily minimum temperature estimation in this study consists of the models by Chung et al (2006), Kim and Yun (2011), and Kim et al (2012).…”

Section: Daily Minimum Temperaturementioning

confidence: 99%

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A Feasibility Study of a Field-specific Weather Service for Small-scale Farms in a Topographically Complex Watershed

Yun

2015

Korean Journal of Agricultural and Forest Meteorology

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An adequate downscaling of synoptic forecasts is a prerequisite for improved agrometeorological service to rural areas in South Korea where complex terrains and small farms are common. In this study, geospatial schemes based on topoclimatology were used to scale down the Korea Meteorological Administration (KMA) temperature forecasts to the local scale (~30 m) across a rural catchment. Then, using these schemes, local temperatures were estimated at 14 validation sites at 0600 and 1500 LST in 2013/2014 and were compared with the observations. The estimation errors were substantially reduced for both 0600 and 1500 LST temperatures when compared against the uncorrected KMA products. The improvement was most notable at low lying locations for the 0600 temperature and at the locations on west-and south-facing slopes for the 1500 LST temperature. Using the downscaled real-time temperature data, a pilot service has started to provide the field-specific weather information tailored to meet the requirements of small-scale farms. For example, the service system makes a daily outlook on the phenology of crop species grown in a given field using the field-specific temperature data. When the temperature forecast is given for next morning, a frost risk index is calculated according to a known relationship of phenology and frost injury. If the calculated index is higher than a pre-defined threshold, a warning is issued and delivered to the grower's cellular phone with relevant countermeasures to help protect crops against frost damage.

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An advanced stochastic weather generator for simulating 2‐D high‐resolution climate variables

Peleg

Fatichi

Paschalis

et al. 2017

J Adv Model Earth Syst

124

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A new stochastic weather generator, Advanced WEather GENerator for a two‐dimensional grid (AWE‐GEN‐2d) is presented. The model combines physical and stochastic approaches to simulate key meteorological variables at high spatial and temporal resolution: 2 km × 2 km and 5 min for precipitation and cloud cover and 100 m × 100 m and 1 h for near‐surface air temperature, solar radiation, vapor pressure, atmospheric pressure, and near‐surface wind. The model requires spatially distributed data for the calibration process, which can nowadays be obtained by remote sensing devices (weather radar and satellites), reanalysis data sets and ground stations. AWE‐GEN‐2d is parsimonious in terms of computational demand and therefore is particularly suitable for studies where exploring internal climatic variability at multiple spatial and temporal scales is fundamental. Applications of the model include models of environmental systems, such as hydrological and geomorphological models, where high‐resolution spatial and temporal meteorological forcing is crucial. The weather generator was calibrated and validated for the Engelberg region, an area with complex topography in the Swiss Alps. Model test shows that the climate variables are generated by AWE‐GEN‐2d with a level of accuracy that is sufficient for many practical applications.

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Minimum temperature mapping over complex terrain by estimating cold air accumulation potential

Cited by 83 publications

References 11 publications

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

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

A Feasibility Study of a Field-specific Weather Service for Small-scale Farms in a Topographically Complex Watershed

An advanced stochastic weather generator for simulating 2‐D high‐resolution climate variables

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