Generating surfaces of daily meteorological variables over large regions of complex terrain
TLDR
In this paper, a method for generating daily surfaces of temperature, precipitation, humidity, and radiation over large regions of complex terrain is presented, based on the spatial convolution of a truncated Gaussian weighting filter with the set of station locations.About:
This article is published in Journal of Hydrology.The article was published on 1997-03-15 and is currently open access. It has received 1309 citations till now.read more
Citations
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Combining probabilistic land-use change and tree population dynamics modelling to simulate responses in mountain forests
TL;DR: In this paper, a statistical land-abandonment model was combined with a forest dynamics model to take into account the combined effects of climate and human land-use on the Alpine tree-line in Switzerland.
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Comparing MODIS Net Primary Production Estimates with Terrestrial National Forest Inventory Data in Austria
TL;DR: Comparing Net Primary Productivity estimates using forest inventory data and spatio-temporally continuous MODIS remote sensing data suggests that management issues are important in understanding the observed discrepancies between MODIS and terrestrial NPP.
Posted Content
Regional Water and Soil Assessment for Managing Sustainable Agriculture in China and Australia
TL;DR: Water balance models can be constructed at any level of complexity as mentioned in this paper, however, increasing the complexity of a model does not necessarily lead to a more accurate model and it is essential that model complexity matches the availability of data.
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Testing Hopkins' Bioclimatic Law with PhenoCam data.
TL;DR: The Bioclimatic Law proposed by Hopkins is evaluated, which relates phenological transitions to latitude, longitude, and elevation and PhenoCam data provide an objective and consistent means by which spatial and temporal patterns in vegetation phenology can be investigated.
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Deriving forest fire ignition risk with biogeochemical process modelling
TL;DR: This study assesses the usefulness of the ecophysiological model BIOME-BGC's ‘soil water’ and ‘labile litter carbon’ variables in predicting fire ignition and results show that summer fire ignition risk is largely a function of low soil moisture, while winter fire ignitions are linked to the mass of volatile litter and atmospheric dryness.
References
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A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain
TL;DR: In this article, the authors present an analytical model that distributes point measurements of monthly and annual precipitation to regularly spaced grid cells in midlatitude regions, using a combination of climatological and statistical concepts to analyze orographic precipitation.
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A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes
TL;DR: In this paper, an ecosystem process model is described that calculates the carbon, water and nitrogen cycles through a forest ecosystem, which uses leaf area index (lai) to quantify the forest structure important for energy and mass exchange, and represents a key simplification for regional scale applications.
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On the relationship between incoming solar radiation and daily maximum and minimum temperature
TL;DR: In this article, a relationship between atmospheric transmittance and the daily range of air temperature is developed, where the relationship is Tt = A[1 −exp(exp(BΔTc)] where Tt is the daily total atmospherictransmittance, ΔT is the average air temperature, and A, B, and C are empirical coefficients, determined for a particular location from measured solar radiation data.