by U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Earth Satellite Service in [Washington, D.C.] .
Written in English
|Contributions||United States. National Earth Satellite Service., University of California, Santa Barbara. Computer Systems Laboratory.|
|The Physical Object|
|Pagination||82 p. :|
|Number of Pages||82|
Use of environmental satellite data for input to energy balance snowmelt models /. Using MODIS and CERES Data to Improve Energy Balance Snowmelt Modeling Laura M. Hinkelman Jessica Lundquist University of Washington Rachel T. Pinker University of Maryland MODIS Science Team Meeting Atmosphere Team Breakout U. Maryland Conference Center College Park, MD, May 18 . Comparison with satellite data. No Yes, snow cover with AVHRR No Yes (T s with AVHRR derived) snowmelt models with varying degrees of model structure, complexity and data demand, our objective is to find a and (3) a physics-based, energy balance snowmelt model (SDSM-EBM). The three models are inte Cited by: 8. However, stubble is not explicitly accounted for in hydrological or energy balance snowmelt models. This paper relates measurable stubble parameters (height, width, areal density, and albedo) to the snowpack energy balance and snowmelt with the new, .
A compromise between the two types of models is required to provide realistic evaluations of basin response to environmental changes in cold regions. One adaptation that is uniformly required for snowmelt models is the use of remotely sensed data, either as input or in model validation. SNOTEL sites. In an integrated test driving the Utah Energy Balance (UEB) snowmelt model, 80% of these sites gave NSE > for snow water equivalent. These findings motivate use of this tool in data sparse regions where ground based observations are not available and downscaled global reanalysis products may be the only option for model inputs. Use of satellite-derived data for characterization of snow cover and simulation of snowmelt runoff through a distributed physically based model of runoff generation Article Full-text available. Water Balance Models in Environmental Modeling 3 good news is that after the issue has come to the forefront of environmental concerns in Iran, steps in the right direction have been taken in.
Unfortunately, the use of energy balance models is not the practical solution due to the high number of variables that can be relevant and can change significantly in space and, in the other hand, the low availability of most of them in a typical .In addition, if used, most of the needed variables are indirectly estimated that increase the uncertainty in the results . The objective here was to provide the means to setup Python workflows for preparation of input data for distributed hydrologic models. The services we developed support the Utah Energy Balance (UEB) snowmelt model (Tarboton et al., ) and TOPNET hydrologic model (Bandaragoda et . A spatially distributed energy balance snowmelt model for application in mountain basins Danny Marks,1* James Domingo,2 Dave Susong,3 Tim Link,2 and David Garen4 1USDA Agricultural Research Service, Northwest Watershed Research Center, Park Blvd., Suite , Boise, ID , /, USA 2Oregon State University, EPA National Health and Environmental E•ects Research . A spatially distributed energy balance snowmelt model has been constructed and applied to an km2 drainage basin in the Juntanghu River, to simulate the melt of the snowpack of coupled with the WRF model with TL60 forecast data. The simulation was run at a 1h time step and a spatial resolution of 30m.