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
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The LANDFIRE Prototype Project: nationally consistent and locally relevant geospatial data for wildland fire management
TL;DR: The Landscape Fire and Resource Management Planning Tools Prototype Project (LFIRE Prototype Project) as discussed by the authors developed the methods, tools, and protocols for producing consistent and comprehensive digital maps of current vegetation composition and structure, wildland fuel, historical fire regimes, and fire regime condition class (FRCC) at a 30-meter spatial resolution.
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Climate and Tick Seasonality Are Predictors of Borrelia burgdorferi Genotype Distribution
Anne G. Gatewood,Kelly A. Liebman,Gwenaël Vourc’h,Jonas Bunikis,Sarah A. Hamer,Roberto Cortinas,Forrest Melton,Forrest Melton,Paul Cislo,Uriel Kitron,Jean I. Tsao,Alan G. Barbour,Durland Fish,Maria A. Diuk-Wasser +13 more
TL;DR: It is concluded that climate-associated variability in the timing of I. scapularis host seeking contributes to geographic heterogeneities in the frequencies of B. burgdorferi genotypes, with potential consequences for Lyme borreliosis morbidity.
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Effects of land-use and land-cover change on evapotranspiration and water yield in China during 1900-2000
TL;DR: Wang et al. as discussed by the authors used an integrated Dynamic Land Ecosystem Model (DLEM) in conjunction with spatial data of LUCC to estimate the LUCC effects on the magnitude, spatial and temporal variations of evapotranspiration (ET), runoff, and water yield across China.
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Mapping fuels and fire regimes using remote sensing, ecosystem simulation, and gradient modeling
TL;DR: In this article, the authors present an integrated approach for mapping fuels and fire regimes using extensive field sampling, remote sensing, ecosystem simulation, and biophysical gradient modeling to create predictive landscape maps.
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Forest biomass estimation over regional scales using multisource data
TL;DR: In this paper, a combination of statistical models and multisource data was used to map above-ground forest biomass for National Forest lands in California, where data from the Moderate Resolution Imaging Spectoradiometer were used in combination with precipitation, temperature, and elevation data.
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.