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
More filters
MonographDOI
Estimating groundwater recharge
TL;DR: In this article, a critical evaluation of the theory and assumptions that underlie methods for estimating rates of groundwater recharge is provided, with detailed explanations of the methods provided - allowing readers to apply many of the techniques themselves without needing to consult additional references.
Journal ArticleDOI
LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment
TL;DR: LandFIRE as mentioned in this paper is a 5-year, multipartner project producing consistent and comprehensive maps and data describing vegetation, wildland fuel, fire regimes and ecological departure from historical conditions across the United States.
Journal ArticleDOI
Guidelines for assessing the suitability of spatial climate data sets
TL;DR: The authors discusses the relationship between scale and spatial climate-forcing factors, and provides background and advice on assessing the suitability of data sets, and uses common sense in the interpretation of results.
A Meteorological Distribution System for High Resolution Terrestrial Modeling (MicroMet)
Glen E. Liston,Kelly Elder +1 more
TL;DR: In this article, an intermediate-complexity, quasi-physically based, meteorological model (MicroMet) is developed to produce high-resolution (e.g., 30-m to 1-km horizontal grid increment) atmospheric forcings required to run spatially distributed terrestrial models over a wide variety of landscapes.
Journal ArticleDOI
Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches
Scott Powell,Warren B. Cohen,Sean P. Healey,Robert E. Kennedy,Gretchen G. Moisen,Kenneth Pierce,Janet L. Ohmann +6 more
TL;DR: In this article, the authors compared three statistical techniques (Reduced Major Axis regression, Gradient Nearest Neighbor imputation, and Random Forests regression trees) for modeling biomass to better understand how the choice of model type affected predictions of biomass dynamics.
References
More filters
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.
Journal ArticleDOI
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.