MODIS/Aqua Sea Ice Extent Daily L3 Global 1km Equal Area Scalable Earth Grid (EASE-Grid) Day (MYD29P1D) data set contains fields for Sea Ice by Reflectance, Sea Ice by Reflectance Spatial QA, Ice Surface Temperature (IST), and Ice Surface Temperature Spatial QA in Hierarchical Data Format-Earth Observing System (HDF-EOS) format, along with corresponding metadata. The fields Sea Ice by IST and Combined Sea Ice that were in Version 4 (V004) were removed from Version 5 (V005). MYD29P1D V005, the latest version of the Moderate Resolution Imaging Spectroradiometer (MODIS) data, consists of 954 km x 954 km tiles of 1 km resolution data gridded in the Lambert Azimuth Equal Area map projection. The sea ice algorithm uses a Normalized Difference Snow Index (NDSI) modified for sea ice to distinguish sea ice from open ocean, based on reflective and thermal characteristics.
The lag time between observations and availability of MODIS products is only a few days. Lag time may be extended due to satellite maneuvers and extra quality assurance required for the geolocation data after the maneuver.
Many NSIDC data set web pages provide the ability to search and filter data with spatial and temporal contstraints using a map-based interface. This article outlines how to order NSIDC DAAC data using advanced searching and filtering.
To convert HDF5 files into binary format you will need to use the h5dump utility, which is part of the HDF5 distribution available from the HDF Group. How you install HDF5 depends on your operating system.
Data subscriptions are available for select NSIDC DAAC data collections (found below). Our subscription service automatically sends you new data as they are delivered from active NASA satellite missions.
Data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system or through our Application Programming Interface (API).
NASA Earthdata Search is a map-based interface where a user can search for Earth science data, filter results based on spatial and temporal constraints, and order data with customizations including re-formatting, re-projecting, and spatial and parameter subsetting.