Though the SPF indicates a high degree of spatial complexity, the value never approaches or exceeds that which would be expected in a random vertical sequence of weathering horizons.
For climate scenarios, we manipulate historical weather observations to create ensembles (i.e., multiple sequences of weather events) that reflect historical variability and potential climate change.
This issue is more important in tropical climates, where severe weathering produces thick weathering profiles with different sequences of weathering.
The proposed dominant weathering profiles of granite are mainly based on the sequences of weathering zone, topography and geological conditions, joint characterization, and the dominant color of rock material.
Climate scenarios were developed by manipulating historical weather observations to create multiple "new" sequences of daily weather (i.e., ensembles) during the nesting season.
To address climate uncertainty, climate scenarios are developed by manipulating historical weather observations to create ensembles (i.e., multiple sequences of daily weather) that reflect historical variability and potential climate change.
The pristine expression of nature at a specific site is a transient product of unlikely-to-be-repeated sequences of fluctuating weather, climate, and biological immigration (Jackson et al. 1995).
According to Wahrhaftig's hypothesis, bare granite weathers slower than soil-mantled granite; thus random erosional exposure of bare rock leads to an alternating sequence of steep, slowly weathering bedrock "steps" and gently sloped, but rapidly weathering, soil-mantled "treads".
We present the application of a parametric stochastic weather generator within a nonstationary context, enabling simulations of weather sequences conditioned on interannual and multi-decadal trends.
