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Open AccessJournal ArticleDOI

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.
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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.

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Numerical model simulations of nitrate concentrations in groundwater using various nitrogen input scenarios, mid-Snake region, south-central Idaho

TL;DR: In this paper, a subregional groundwater model was used to estimate the change of nitrate concentrations in groundwater over time in response to three nitrogen input scenarios: nitrogen input fixed at 2008 levels, nitrogen input increased from 2008 to 2028 using the same rate of increase as the average rate of increasing during the previous 10 years (1998 through 2008), after 2028 nitrogen input is fixed at 2028 levels, and nitrogen input related to agriculture completely halted, with only nitrogen input from precipitation remaining.
Journal ArticleDOI

Assessment of coupled CRCM5–FLake on the reproduction of wintertime lake-induced precipitation in the Great Lakes Basin

TL;DR: In this article, the authors assessed the high-resolution, 0.11° (12km) Canadian Regional Climate Model Version 5 (CRCM5), interactively coupled to the one-dimensional Freshwater Lake model (FLake), to predict wintertime precipitation along the Canadian snowbelts of Lake Superior and Lake Huron.
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Challenges in Complementing Data from Ground-Based Sensors with Satellite-Derived Products to Measure Ecological Changes in Relation to Climate-Lessons from Temperate Wetland-Upland Landscapes.

TL;DR: The effectiveness of decisions and assumptions made in applying the remotely sensed data for the assessment and the value of integrating observations across scales, sensors, and disciplines are evaluated.
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Predicting the presence and cover of management relevant invasive plant species on protected areas.

TL;DR: It is concluded that conservation managers need to select predictors of invasion with care as species identity can determine the relationship between Predictors of presence and the more management relevant predictor of cover.
Journal ArticleDOI

Mapping daily temperature and precipitation in the Qilian Mountains of northwest China

TL;DR: Wang et al. as discussed by the authors used modified mountain microclimate simulation model (MTCLIM) with the data from 19 weather stations; and compared and validated two methods (the MTClIM and the modified MTC-IM) in the Qilian Mountains of Northwest China to estimate daily temperature (i.e., maximum temperature; minimum temperature) and precipitation at six weather stations from 1 January 2000 to 31 December 2009.
References
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Journal ArticleDOI

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.
Journal ArticleDOI

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.
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