A frost assessment method for mountainous areas

Citation
L. Lindkvist et al., A frost assessment method for mountainous areas, AGR FOR MET, 102(1), 2000, pp. 51-67
Citations number
44
Categorie Soggetti
Agriculture/Agronomy
Journal title
AGRICULTURAL AND FOREST METEOROLOGY
ISSN journal
01681923 → ACNP
Volume
102
Issue
1
Year of publication
2000
Pages
51 - 67
Database
ISI
SICI code
0168-1923(20000428)102:1<51:AFAMFM>2.0.ZU;2-N
Abstract
The present paper describes a model for frost assessment in mountainous are as in relation to forest management. Data were collected at 38 locations wi thin a 625 km(2) region, which is characterised by a diverse topography and vegetation cover. Air temperature measurements were performed during the p eak of the growing season. (July-August 1996) in the southern Swedish mount ains at elevations between 500 and 1200m a.s.l. The variation in nighttime minimum temperatures was analysed in relation to the prevailing weather and terrain type of the measuring sites. From the analysis of the temperature and weather conditions, i.e., wind and radiation, it was concluded that more than 90% of the frost situations, oc curring during the study period, were of the radiation type. It was further concluded that the variation among the studied stations was closely relate d to the terrain type during these situations. Frost occurred most frequent ly in narrow valleys, then in concave and flat locations. Elevated and conv ex areas were found to have very few situations of radiation frost. Local terrain information was used together with a calculated frost index f or assessment of the spatial variation in frost risk. Furthermore, a grid n et was applied to the study area and the pixels were given a terrain form o f the type convex, slope, flat, wide concave or narrow concave according to the dominating terrain curvature. For each pixel a frost index value was e stimated from the recorded temperatures at the field stations. A cluster an alysis was used to group the terrain types according to the index, whereby six obvious clusters were obtained each with clearly differentiated frost i ntensity. The analysis showed that this kind of treatment is a suitable met hod for assessing the spatial variation in frost risk. (C) 2000 Elsevier Sc ience B,V. All rights reserved.