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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. If the dataset is polar stereographic, subsetting can be performed in the projected coordinate system, or the WGS84 coordinate space. PyRS can be used with the following data sets:
The following table lists important KVPs associated with the Common Metadata Repository (CMR) file search, as well as all KVPs available for subsetting, reformatting, and reprojection services.
Please see the CMR Search API Documentation page for additional information on CMR parameters.>
Introduction
NSIDC developed a number of IDL programs to browse and visualize TOVS Pathfinder Path-P Daily and Monthly Polar Gridded Atmospheric Parameters data files. The IDL tools described in this tutorial are available via HTTPS, along with the aforementioned data set, in the /tools/ directory. For instructions on installing these tools, see the Getting Started section below.
The TOVS Level 1b data for some days were either unavailable or of insufficient quality to use as ingest into the Path-P processing algorithm. Currently, empty files exist as placeholders for these dates until compatible data can be obtained.
The following table lists the tools and services available for VIIRS data.
NASA Worldview is a map interface that allows users to interactively browse imagery, create visualizations, and download the underlying data.
NASA's Global Imagery Browse Services (GIBS) provides up to date, full resolution imagery for selected NSIDC DAAC data sets. Adding GIBS layers via OGC methods, such as Web Map Service (WMS), Web Map Tile Service (WMTS) and Tiled Web Map Service (TWMS) provides an easy way to visualize the entire time series of these data in commerical tools like Arc
This webinar introduces the ICESat-2 mission and shows you how to explore, access and customize ICESat-2 data with the OpenAltimetry application, using NSIDC DAAC tools, and shows you how to subset, reformat and analyze the data using Python. This webinar was originally presented on July 23, 2019, and is available on the NASA Earthdata Youtube channel.
The main differences between the DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures, Version 2 (NSIDC-0032) and the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 1 (NSIDC-0630) data sets are described in Table 1.
When utilizing the SMAP Near-Real-Time (NRT) data products (SPL2SMP_NRT and SPL1BTB_NRT) it is important to understand how they differ from standard SMAP data products and their limitations. Below we outline the main differences in each NRT data product.SPL1BTB_NRT:
The following table describes both the required and actual latencies for the different SMAP radiometer data sets. Latency is defined as the time (# days, hh:mm:ss) from data acquisition to product generation. Short name Title Latency Required # days hh:mm:ss
MODIS is an optical sensor, which has inherent limitations in observing sea ice and snow. Unlike a passive-microwave sensor, which can detect microwave energy through clouds, MODIS cannot observe the surface when cloud cover is present. MODIS products, therefore, have cloud masks built into the data arrays to prevent clouds from being interpreted as ice and snow.
MODIS provides global coverage every one to two days in 36 spectral bands. Spatial resolution of the MODIS data varies by band from 250 m to 1 km. By contrast, the Advanced Very High Resolution Radiometer (AVHRR) sensor has five spectral bands with a spatial resolution of 4 km or 1 km.
For more information about MODIS, visit NASA's MODIS webpages.
The two grids are based on different map projections. The polar stereographic projection was initially used with ice concentration products developed at the NASA Goddard Space Flight Center (GSFC) and has been retained for historical consistency. It specifies a projection plane tangent to the earth at 70° latitude, which was selected so that little or no distortion would occur in the marginal ice zone.
This short article describes the customization services available for ICESat/GLAS data using Earthdata Search
This article describes what customizing services are available for AMSR-E data using Earthdata Search.
This short article describes the customization services available for ICESat-2 data using Earthdata Search
This short article describes the customization services available for SMAP data using Earthdata Search.
This short article describes the customization services available for VIIRS data using Earthdata Search.
Assuming the data that were produced conform to the ML (25km) EASE-Grid definition, defined by the Ml.gpd and described in our Guide to EASE Grids, then you should be able to utilize the IDL tools that are distributed with our other EASE Grid geolocation tools.