NASA SnowEx
New Approaches for Mapping Snow Water Equivalent
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Tools
Data Tools
This page lists featured tools and web services that can be used to access and work with various data from this collection. Additional tools and resources for working with these data may be found in the Help Articles section of this collection.
Get Data
Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
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Type:
service
Search & Discover
Get Data
Filter files before downloading based on date, spatial area, or file name. Choose from various download options, such as Python script. Export bounding boxes as a GeoJSON.
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Visualize
Search & Discover
Get Data
Search and order data from all NASA DAACs using spatial and temporal filters in a map interface. Reformatting, reprojecting, and subsetting options are available for some data sets.
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Type: Web Application
Get Data
Search & Discover
earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.
Supported software languages:
Python
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Get Data
Programmatically request selected data products through NSIDC's API. Bulk download using spatial and temporal filters, or incorporate data access commands into code/scripts as needed.
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Get Data
Access data directly from the NASA Earthdata Cloud via Amazon Web Services Simple Storage Service (AWS S3). This access option is only available when working within the us-west-2 region and requires additional AWS S3 credentials.
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Type:
service
Visualize
Explore contents of HDF4 and HDF5 files, including file structure, metadata, and parameter values.
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Type: Downloadable Software
Output Formats:
ASCII
HDF4
HDF5
Visualize
Analyze
Visualize georeferenced arrays in NetCDF, HDF and GRIB formats. Plot data on global or regional maps, choosing from multiple map projections. Overlay continent outlines or masks.
Type: Downloadable Software
Output Formats:
ASCII
CSV
GIF
HDF-EOS2
HDF-EOS5
HDF4
HDF5
JPEG
KML
NETCDF-3
NETCDF-4
PNG
TIFF
Analyze
Visualize
Search & Discover
GIS
Customize
A Python-based Jupyter Notebook demonstrating how to access and visualize coincident snow data from the NSIDC DAAC across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively.
Supported software languages:
Python
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
Output Formats:
CSV
GEOTIFF
Analyze
Customize
Search & Discover
Get Data
Query, access, analyze, and download SnowEx data sets using a SQL database.
Supported software languages:
Python
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Type: Downloadable Software
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