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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Evaluation of downscaled, gridded climate data for the conterminous United States.
Robert J. Behnke,Stephen J. Vavrus,Andrew J. Allstadt,Thomas P. Albright,Wayne E. Thogmartin,Volker C. Radeloff +5 more
TL;DR: The results highlight the need for careful consideration among different available data sets in terms of which variables they describe best, where they perform best, and their resolution, when selecting a downscaled weather data set for a given ecological application.
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Statistical reanalysis of precipitation fields based on ground network data and weather patterns: Application over French mountains
TL;DR: In this paper, the authors developed tools for robust interpolations based on ground networks, in order to provide a reliable estimate of daily precipitation at any point in mountainous areas, where the orographic effect is dominant in the explanation of precipitations in mountains, a linear relationship is considered for each pixel to connect precipitation to elevation.
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Effects of salvage logging and sanitation felling on bark beetle (Ips typographus L.) infestations
TL;DR: In this paper, the authors analyzed a survey dataset with annual resolution that covers 9 years and 487 forest districts (82% of the forested area) all over Switzerland to quantify the drivers of bark beetle infestations, in particular salvage logging and sanitation felling.
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Taking the Pulse of Mountains: Ecosystem Responses to Climatic Variability
TL;DR: In this paper, an integrated program of ecosystem modeling and field studies in the mountains of the Pacific Northwest (U.S.A.) has quantified many of the ecological processes affected by climatic variability.
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Climatologically Aided Mapping of Daily Precipitation and Temperature
TL;DR: In this article, a simple yet effective method for mapping daily weather conditions across heterogeneous landscapes is described and assessed, which uses ordinary kriging to interpolate base station data spatially into fields of approximately 2-km grain size.
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.