Search Results

You are looking at 1 - 7 of 7 items for :

  • Regional effects x
  • The Cold Land Processes Experiment (CLPX) x
  • All content x
Clear All
Kelly Elder, Angus Goodbody, Don Cline, Paul Houser, Glen E. Liston, Larry Mahrt, and Nick Rutter

1. Introduction Meteorological measurements are sparse in most seasonally snow-covered mountain areas, and data typically includes only the most basic parameters. Spatially distributed meteorological datasets suitable for hydrological modeling are rare and tend to concentrate on small regions or specific environments (e.g., Williams et al. 1999 ; Hanson 2001 ; Hanson et al. 2001 ). Regional datasets with local detail are even less common. Local and regional energy balance controls

Full access
Kelly Elder, Don Cline, Glen E. Liston, and Richard Armstrong

1. Introduction Snowpack measurements have been taken in North America for nearly 100 years, with the objective of increasing our ability to forecast runoff from snow-covered regions. Point measurements have been the norm, although short transects from snow courses provide a limited representation of the variability of the spatial nature of snow water equivalent (SWE). The snowpack telemetry (SNOTEL) system of the Natural Resources Conservation Service (NRCS) gives regional SWE information in a

Full access
Glen E. Liston, Christopher A. Hiemstra, Kelly Elder, and Donald W. Cline

surrounding landscape (primarily topography) to distribute those variables over any given landscape in physically plausible and computationally efficient ways. MicroMet performs two kinds of adjustments to the meteorological data: 1) all available data, at a given time, are spatially interpolated over the domain; and 2) physically based submodels are applied to each MicroMet variable to quantify topographic and elevation effects at any given point in space and time. Station interpolations (horizontal) to

Full access
Robert E. Davis, Thomas H. Painter, Rick Forster, Don Cline, Richard Armstrong, Terry Haran, Kyle McDonald, and Kelly Elder

spectrum (thermal infrared). The Landsat dataset consists of observations with 30-m resolution in six reflective solar bands collected in two row–path combinations over the large regional study area (LRSA; Davis 2003 ). Data were collected between 10 November 2001 and 9 January 2003, using the Enhanced Thematic Mapper Plus (ETM+) sensor on Landsat-7 and the Thematic Mapper (TM) sensor on Landsat-5 . Data consist of level 1G imagery products (radiance) that have been radiometrically and

Full access
Rafał Wójcik, Konstantinos Andreadis, Marco Tedesco, Eric Wood, Tara Troy, and Dennis Lettenmeier

morphology, the development of layering, and snowpack water. The challenge also includes scaling effects from the low-resolution (25 km) AMSR-E pixel resolution and the spatial heterogeneity in vegetation, topography, and snowfall. Therefore, this paper focuses mainly on the most favorable period within CLPX to best assess our ability to assimilate AMSR-E brightness temperatures. This paper is organized as follows: section 2 provides a description of the new snow module implemented in VIC. The three

Full access
Glen E. Liston and Christopher A. Hiemstra

1. Introduction The seasonal snow cover’s high albedo, low thermal conductivity, and considerable spatial and temporal variability play a key role in governing Earth’s global radiation balance ( Walsh et al. 1985 ; Hall 1988 ; Karl et al. 1993 ); this balance is a primary driver of Earth’s atmospheric circulation system and associated climate. The problem of realistically representing seasonal snow in local, regional, and global atmospheric and terrestrial models is complex because of snow

Full access
Jeffrey S. Deems, Steven R. Fassnacht, and Kelly J. Elder

processes change is driven primarily by the topographic and vegetation distributions within the study area. Future datasets with substantially different snow depths in the Alpine study site will enable further analysis of the effects of depth variation on the fractal dimension. 5. Conclusions Snow depth spatial patterns and scaling behavior are compared for 2003 and 2005, using snow depth datasets derived from airborne lidar measurements at two midlatitude, mountainous sites. Both omnidirectional and

Full access