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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Journal ArticleDOI
A simple model of regional wheat yield based on NDVI data
TL;DR: In this article, the authors present the development and testing of a methodological framework which utilizes NDVI data taken from satellite platforms and a simulation model (CROPSYST) to estimate wheat yield, which relies on two main steps, the first being the computation of wheat above-ground biomass obtained through the use of NDVI-derived FAPAR estimates.
Journal ArticleDOI
Snowmelt rate dictates streamflow
T. B. Barnhart,T. B. Barnhart,Noah P. Molotch,Noah P. Molotch,Noah P. Molotch,Ben Livneh,Ben Livneh,Adrian A. Harpold,John F. Knowles,Dominik Schneider,Dominik Schneider +10 more
TL;DR: In this paper, the authors presented a possible mechanism linking snowmelt rate and streamflow generation using a gridded implementation of the Budyko framework. But, they did not consider the effect of seasonal changes in regional air temperature on streamflow.
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A review of recent advances in risk analysis for wildfire management
Carol Miller,Alan A. Ager +1 more
TL;DR: In this paper, a review of recent advances in quantifying and integrating these individual components of fire risk is presented, and several necessary and fruitful directions for future research and development in wildfire risk analysis are suggested.
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Movement of outbreak populations of mountain pine beetle: influences of spatiotemporal patterns and climate
Brian H. Aukema,Allan L. Carroll,Yanbing Zheng,Jun Zhu,Kenneth F. Raffa,R. Dan Moore,Kerstin Stahl,Stephen W. Taylor +7 more
TL;DR: In this paper, the authors examined an outbreak of mountain pine beetle covering an 800 thousand ha area on the Chilcotin Plateau of British Columbia, Canada, during the 1970s and early 1980s.
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Remote sensing‐based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah
Niklaus E. Zimmermann,Thomas C. Edwards,Gretchen G. Moisen,Tracey S. Frescino,Jock A. Blackard +4 more
TL;DR: If carefully prepared, remotely sensed variables are useful additional predictors for the spatial distribution of trees, and a significant correlation between climate and remote sensing variables is indicated.
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.