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
Journal ArticleDOI
Actual Evapotranspiration (Water Use) Assessment of the Colorado River Basin at the Landsat Resolution Using the Operational Simplified Surface Energy Balance Model
Ramesh K. Singh,Gabriel B. Senay,Naga Manohar Velpuri,Stefanie Bohms,Russell L. Scott,James P. Verdin +5 more
TL;DR: A first-ever basin-wide actual evapotranspiration (ETa) map of the Colorado River Basin at the Landsat scale for water use assessment at the field level is developed and can be applied for regular production of ETa maps of larger areas such as the conterminous United States.
Journal ArticleDOI
Response of maize phenology to climate warming in Northeast China between 1990 and 2012
TL;DR: The results indicated that agronomic factors contribute substantially to the shift in maize phenology and that most farmers had adopted longer season cultivars because the increase in temperature provided better conditions for maize germination, emergence and grain filling.
Journal ArticleDOI
Scaling net primary production to a MODIS footprint in support of Earth observing system product validation
TL;DR: In this article, the authors describe three relevant approaches to scaling NPP from the plot level to the approximately 25-km 2 footprint of the sensor, and discuss issues associated with operational comparisons to the MODIS NPP product.
Journal ArticleDOI
Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability
TL;DR: In this article, the authors investigate the trade-offs among these sources of uncertainty using 10,000 station-years worth of data from the western US SNOTEL network and show that errors in model forcing data are at least as important, if not more, than image availability when reconstructing SWE.
Journal ArticleDOI
Comparing and combining SWE estimates from the SNOW-17 model using PRISM and SWE reconstruction
TL;DR: In this article, the authors compared forward, reconstruction, and combined configurations of a simplified SNOW-17, and evaluated model errors in annual precipitation, peak SWE, and SWE errors during the accumulation and ablation seasons.
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.