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
Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment
S. Gangrade,S. Gangrade,Shih-Chieh Kao,Shih-Chieh Kao,T. T. Dullo,Alfred J. Kalyanapu,Benjamin L. Preston +6 more
TL;DR: In this paper, an integrated high-resolution process-based hydro-meteorologic modeling framework was used to develop ensemble-based probabilistic flood maps based on best-available historic observations and future climate projections.
Journal ArticleDOI
Multiscale controls on woody plant diversity in western oregon riparian forests
Daniel A. Sarr,David E. Hibbs +1 more
TL;DR: This paper analyzed woody riparian plant species and environmental data from four western Oregon watersheds distributed across a wide climate-driven productivity gradient at three scales (40-m 2 sample plots (alpha diversity), 1-ha plots, and species pools from 16 1ha plots in each watershed) to compare three hypotheses of control on species diversity.
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Validation and inter‐comparison of three methodologies for interpolating daily precipitation and temperature across Canada
TL;DR: In this article, the authors evaluate the precision of three models (i.e., spline, weighted-truncated Gaussian filter, and hybrid inverse-distance/natural-neighbor) for interpolating daily precipitation and temperature at 10 km across the Canadian landmass south of 60o latitude (encompassing Canada's agricultural region).
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Global Validation of MODIS Near-Surface Air and Dew Point Temperatures
Caroline A. Famiglietti,Caroline A. Famiglietti,Joshua B. Fisher,Gregory Halverson,Gregory Halverson,Eva Borbas +5 more
TL;DR: The first global validation of the MODIS-derived near-surface air temperature and dew point estimates is presented in this paper, where the authors compare the results of satellite and in situ air temperature measurements (R = 0.89, root-mean-square error = 3.47°C, and bias= 0.19°C) with insignificant differences in error across climate zones.
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The relative importance of land use and climatic change in Alpine catchments
TL;DR: In this paper, the relative importance of climate change vs. land use change for four Alpine catchments using the LPJ-GUESS model was investigated, and two scenarios of grassland management were calibrated based on the more detailed model PROGRASS.
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.