Zobrazeno 1 - 10
of 1 736
pro vyhledávání: '"S. Pegram"'
Publikováno v:
Civil Engineering (10212000). Mar2023, Vol. 31 Issue 2, p50-50. 1/2p.
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Iss 7, Pp 2705-2720 (2016)
Global climate change can have impacts on characteristics of rainfall–runoff events and subsequently on the hydrological regime. Meanwhile, the catchment itself changes due to anthropogenic influences. However, it is not easy to prove the link betw
Externí odkaz:
https://doaj.org/article/501dd5b890f84a6a9cca675225fc1e39
Publikováno v:
Journal of Terramechanics. 96:11-22
Vehicle safety and performance can be dramatically improved if force or friction measurement of the tyre-terrain interface is known. Since the tyre-terrain interface is responsible for the majority of forces acting on the vehicle, this region has rec
Autor:
Sinclair, S., Pegram, G. G. S.
Publikováno v:
Hydrology & Earth System Sciences Discussions; 2005 Supplement, pS160-S163, 4p
Autor:
S. Sinclair, G. G. S. Pegram
Publikováno v:
Hydrology and Earth System Sciences, Vol 14, Iss 4, Pp 613-626 (2010)
In this paper we compare two independent soil moisture estimates over South Africa. The first estimate is a Soil Saturation Index (SSI) provided by automated real-time computations of the TOPKAPI hydrological model, adapted to run as a collection of
Externí odkaz:
https://doaj.org/article/5c84762af86a42ab82ac99bdbb9b531e
Autor:
A. Bárdossy, G. G. S. Pegram
Publikováno v:
Hydrology and Earth System Sciences, Vol 13, Iss 12, Pp 2299-2314 (2009)
From the point of view of multisite stochastic daily rainfall modelling, there are two new ideas introduced in this paper. The first is the use of asymmetrical copulas to model the spatial interdependence structure of the rainfall amounts together wi
Externí odkaz:
https://doaj.org/article/633ed284f28e432b80e842dd8875d229
Publikováno v:
Hydrology and Earth System Sciences, Vol 12, Iss 3, Pp 933-941 (2008)
Empirical Mode Decomposition (EMD) is applied here in two dimensions over the sphere to demonstrate its potential as a data-adaptive method of separating the different scales of spatial variability in a geophysical (climatological/meteorological) fie
Externí odkaz:
https://doaj.org/article/58850b0ae0a7432da5a1877626c53461
Publikováno v:
Hydrology and Earth System Sciences, Vol 12, Iss 3, Pp 751-767 (2008)
The paper compares two independent approaches to estimate soil moisture at the regional scale over a 4625 km2 catchment (Liebenbergsvlei, South Africa). The first estimate is derived from a physically-based hydrological model (TOPKAPI). The second es
Externí odkaz:
https://doaj.org/article/fc77a5915cb041e8ab0bb6e1b8297832
Autor:
S. M. Wesson, G. G. S. Pegram
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 6, Iss 3, Pp 323-342 (2006)
A technique has been developed to provide an estimate of the rainfall reaching the earth's surface by extrapolating radar data contained aloft to ground level, simultaneously estimating unknown data in the radar volume scan. The technique has been de
Externí odkaz:
https://doaj.org/article/d3f6cc544aaf4583a5eec2f68f64a886
Autor:
S. Sinclair, G. G. S. Pegram
Publikováno v:
Hydrology and Earth System Sciences, Vol 9, Iss 3, Pp 127-137 (2005)
A data-driven method for extracting temporally persistent information, at different spatial scales, from rainfall data (as measured by radar/satellite) is described, which extends the Empirical Mode Decomposition (EMD) algorithm into two dimensions.
Externí odkaz:
https://doaj.org/article/d2cb06eecc0b4f1aa0bb1c1c7e9ac607