R
Robin L. Hall
Researcher at Ford Motor Company
Publications - 12
Citations - 843
Robin L. Hall is an academic researcher from Ford Motor Company. The author has contributed to research in topics: Interception & Canopy. The author has an hindex of 10, co-authored 12 publications receiving 818 citations.
Papers
More filters
Journal ArticleDOI
The impact of land use change on water resources in sub-Saharan Africa: a modelling study of Lake Malawi
Ian R. Calder,Robin L. Hall,Heidi G. Bastable,Henry M. Gunston,Osborne Shela,Amon Chirwa,Robinson Kafundu +6 more
TL;DR: In this paper, the authors investigate the effects of land use change from natural forest to agricultural land on large-scale catchment runoff in southern Africa, using a model to predict the monthly levels of Lake Malawi.
Journal ArticleDOI
Drop size modification by forest canopies: Measurements using a disdrometer
Robin L. Hall,Ian R. Calder +1 more
TL;DR: In this article, the modification of the drop size spectra of three tropical plantation tree species was measured using a disdrometer and the median volume drop diameters measured were 2.3, 2.8 and 4,2 mm for Pinus caribaea, Eucalyptus camaldulensis, and Tectona grandis, respectively.
Journal ArticleDOI
Transpiration from coppiced poplar and willow measured using sap-flow methods
TL;DR: In this article, the authors measured the area-averaged transpiration rate of poplar and willow short-rotation coppice (three-year old stems on four-year-old stools) at a site in south-west England.
Book
Growth and water use of forest plantations
TL;DR: In this article, the authors discuss the impact of site factors on eucalyptus growth in Karnataka and propose a strategy for monitoring tree growth and site change, P.R. Calder et al. developed a deuterium tracing method for estimation of transpiration rates of trees.
Journal ArticleDOI
Dependence of rainfall interception on drop size: 2. Experimental determination of the wetting functions and two-layer stochastic model parameters for five tropical tree species
TL;DR: In this paper, the authors used a rainfall simulator to test the stochastic hypothesis embedded in the original formulation of the Stochastic interception model and to determine the vegetation-dependent stochastically model parameters.