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
Climatic Suitability of the Geographic Distribution of Stipa breviflora in Chinese Temperate Grassland under Climate Change
Xiaomin Lv,Guangsheng Zhou +1 more
TL;DR: In this paper, the authors investigated the relationship between the geographic distribution of S. breviflora and the climate, and its interdecadal change in geographic distribution and climatic suitability from 1961 to 2040.
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Estimating evaporative fraction from readily obtainable variables in mangrove forests of the Everglades, U.S.A.
TL;DR: In this paper, a trapezoid model is proposed to estimate the energy equivalent of evapotranspiration (ET) from easily obtainable remotely-sensed and meteorological parameters.
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Tree growth in Switzerland is increasingly constrained by rising evaporative demand
Volodymyr Trotsiuk,Volodymyr Trotsiuk,Flurin Babst,Flurin Babst,Charlotte Grossiord,Charlotte Grossiord,Arthur Gessler,Arthur Gessler,David I. Forrester,Nina Buchmann,Marcus Schaub,Werner Eugster +11 more
TL;DR: In this article, the Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland, and the Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland presented the results of the TreeRing Research at the University of Arizona.
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Evaluating the Effects of Environmental Changes on the Gross Primary Production of Italian Forests
Fabio Maselli,Marco Moriondo,Marta Chiesi,Gherardo Chirici,Nicola Puletti,Anna Barbati,Piermaria Corona +6 more
TL;DR: A ten-year data-set descriptive of Italian forest gross primary production has been recently constructed by the application of Modified C-Fix, a parametric model driven by remote sensing and ancillary data that is currently being used to develop multivariate regression models which link the inter-year GPP variations of five forest types to seasonal values of temperature and precipitation.
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Contemporary estimates of atmospheric nitrogen deposition to the watersheds of New York State, USA
TL;DR: The seasonal and annual spatial variations of contemporary inorganic atmospheric N deposition loading to multi-scale watersheds across New York State are calculated using numerous monitoring datasets of precipitation and ambient atmospheric N concentrations to suggest “hot spots” of N deposition are, for the most part, spatially distributed according to geographic positions and elevation.
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.