Snow Data Assimilation System (SNODAS) Data Products at NSIDC, Version 1
Data set id:
This is the most recent version of these data.
This data set contains snow pack properties, such as depth and snow water equivalent (SWE), from the NOAA National Weather Service's National Operational Hydrologic Remote Sensing Center (NOHRSC) SNOw Data Assimilation System (SNODAS). SNODAS is a modeling and data assimilation system developed by NOHRSC to provide the best possible estimates of snow cover and associated parameters to support hydrologic modeling and analysis.
LIQUID PRECIPITATION SNOW DEPTH SNOW MELT RUNOFF AT THE BASE OF THE SNOW PACK SNOW PACK AVERAGE TEMPERATURE SNOW WATER EQUIVALENT SOLID PRECIPITATION SUBLIMATION FROM THE SNOW PACK SUBLIMATION OF BLOWING SNOW
28 September 2003 to present
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
NOHRSC provides/creates the data, we just archive it. If you have questions about the model (such as how it is run) that are not available in the user guide, you have to contact NOHRSC directly.
NSIDC has scripts that run several times a day. If new SNODAS files are found, these scripts will automatically post them to our FTP server.
This is most likely due to a problem with Windows Winzip which corrupts the file upon downloading (you will see that the file size will have changed from the original located on ftp) You can correct this by changing some settings in WinZip:
This article describes the use of Geospatial Data Abstraction Library (GDAL) tools for converting SNODAS binary files to NetCDF or GeoTIFF.
The following steps will work for all eight SNODAS variables in ArcGIS 10.0 or higher.
NOAA@NSIDC data recently transitioned to HTTPS. The directory structure has NOT changed, but the beginning of the URL has changed from: ftp://sidads.colorado.edu/pub/DATASETS/ to:
The NSIDC Python Reformatting and Subsetting (PyRS) tool is a command line tool which prompts the user to specify data reformatting and subsetting preferences. Output formats available are native, GeoTIFF, and NetCDF.