Extreme temperature analysis under forest cover compared to an open field
Jacques Ferrez, Anthony C. Davison & Martine Rebetez
| Résumé |
We analyse air temperature data from 14 sites in Switzerland, each
with two weather stations in close proximity, one under a forest
canopy and the other in the open. We use the statistics of extremes
to investigate how extremely high maximum and extremely low minimum
temperatures depend on the effect of forest cover. Our analysis
shows that temperature maxima at two nearby stations are less
dependent than are temperature minima. Maxima under the canopy are
influenced by altitude: for higher sites, the maxima are less
variable and depend less on the open-field data. Southerly
orientations increase the dependence of minimum temperatures and so
reduce the sheltering effect during cold periods. Extreme maximum
and minimum temperatures occur less within conifer forests,
indicating that the insulation provided by conifers all over the
year is more efficient than that provided by deciduous species.
Steepness of slopes has a complex impact on distributions of
extremes and on their dependence. (C) 2011 Elsevier B.V. All rights
reserved. |
| Citation | Ferrez, J., Davison, A. C., & Rebetez, M. (2011). Extreme temperature analysis under forest cover compared to an open field. Agricultural and Forest Meteorology, 151(7), 992-1001. |
| Type | Article de périodique (Anglais) |
| Date de publication | 2011 |
| Nom du périodique | Agricultural and Forest Meteorology |
| Volume | 151 |
| Numéro | 7 |
| Pages | 992-1001 |