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Ground-Based GNSS-based Upper Atmospheric Realtime Disaster Information and Alert Network (GUARDIAN) Galileo daily accumulated real-time Precise Orbit Determination (POD) Clock Corrections (60-second sampling, 24-hour files) from NASA CDDIS

This product contains a time series of clock biases for healthy satellites in the Galileo constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the corrections are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.

Global Navigation Satellite System (GNSS) IGS Real-Time Combination Solution Summary of Real-Time Analysis Center (AC) Submissions from NASA CDDIS

This derived product set consists of Global Navigation Satellite System satellite and receiver clock combination product (30-second granularity, daily files, generated daily) from the real-time IGS analysis center submissions available from NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. The CDDIS provides access to products generated from real-time data streams in support of the IGS Real-Time Service. The real-time observation data from a global permanent network of ground-based receivers are transmitted from the CDDIS in 1 to multi-second intervals in raw receiver or RTCM (Radio Technical Commission for Maritime Services) format. These real-time data are utilized to generate near real-time product streams. The real-time products consist of GNSS satellite orbit and clock corrections to the broadcast ephemeris. These correction streams are formatted according to the RTCM SSR standard for State Space Representation and are broadcast using the NTRIP protocol. IGS analysis centers (ACs) access GNSS real-time data streams to generate near real-time product streams. The real-time products consist of GNSS satellite orbit and clock corrections to the broadcast ephemeris. These correction streams are formatted according to the RTCM SSR standard for State Space Representation and are broadcast using the NTRIP protocol. The product streams are combination solutions generated by processing individual real-time solutions from participating IGS Real-time ACs. The IGS Real-Time Analysis Center Coordinator (RTACC) uses these individual AC solutions to generate this real-time IGS combined satellite and receiver clock product. The effect of combining the different AC solutions is a more reliable and stable performance than that of any single AC's product. The solution summary files consist of reports on the combination analysis and the comparison with the IGS rapid solution product. This combination summary is a daily file available approximately one to three days after the end of the previous UTC day.

MODIS/Aqua Near Real Time (NRT) Surface Reflectance Daily L2G Global 1km and 500m SIN Grid

The MODIS Near Real Time (NRT) Surface Reflectance products are an estimate of the surface spectral reflectance as it would be measured at ground level in the absence of atmospheric scattering or absorption. Low-level data are corrected for atmospheric gases and aerosols, yielding a level-2 basis for several higher-order gridded level-2 (L2G) and level-3 products.MYD09GA provides Bands 1-7 in a daily gridded L2G product in the Sinusoidalprojection, which includes 500-meter reflectance values and 1-kilometerobservation and geolocation statistics. 500-meter Science Data Sets providedby this product include reflectance for Bands 1-7, a quality rating,observation coverage, observation number, and 250-meter scan information.1-kilometer Science Data Sets provided include number of observations, qualitystate, sensor angles, solar angles, geolocation flags, and orbit pointers.Additional information at LPDAAC:https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table

MODIS/Terra Near Real Time (NRT) Sea Ice Extent 5-Min L2 Swath 1km

MODIS/Terra Near Real Time (NRT) Sea Ice Extent 5-Min L2 Swath 1km (MOD29) contains the following fields: sea ice by reflectance, sea ice by reflectance pixel quality assurance (QA), ice surface temperature (IST), IST pixel QA, sea ice by IST, combined sea ice, latitudes, and longitudes in HDF-EOS format, along with corresponding metadata. Latitude and longitude geolocation fields are at 5 km resolution, while all other fields are at 1 km resolution. Version 4 (V004) is the latest version of MOD29 data available. MODIS/Terra V004 data extend from 24 February 2000 to present. 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 only data available for Version 4 (V004) is the Golden Month, which is a sample of V004 data covering the time period 29 August 2002 (day of year 241) through 7 October 2002 (day of year 280). The Golden Month is only available by special request by contacting NSIDC User Services. Please note that NSIDC now has a complete series of Version 5 data, which is the highest version number now available and represents the best quality of data.

MODIS/Terra Near Real Time (NRT) Vegetation Indices Daily Rolling-8-Day L3 Global 500m SIN Grid

The MODIS Near Real Time (NRT) level-3 Vegetation Indices Daily Rolling-8-Day data MOD13A4N, are provided everyday at 500-meter spatial resolution as a gridded level-3 product in the Sinusoidal projection. Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes and global and regional climate. These data also may be used for characterizing land surface biophysical properties and processes including primary production and land cover conversion.Note: This is a near real-time product only. Standard historical data and imagery for MOD13Q4N (250m) and MOD13A4N (500m) are not available. Users can either use the NDVI standard products from LAADS web (https://ladsweb.modaps.eosdis.nasa.gov/search/) or access the science quality MxD09[A1/Q1] data and create the NDVI product of their own.

Near Real-Time MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Snow Albedo, and Snow Surface Properties, Version 1

This data set contains the following parameters: snow fraction (on the ground), viewable snow fraction, snow cover duration, snow grain size, dust concentration, snow albedo (on horizontal surface), snow albedo (on sloped surface), and radiative forcing. All variables are spatially and temporally complete after interpolation. Days without observation is also included so that users can determine how many days since a satellite observation occurred.The data set is derived from a version of the spectral mixture analysis (SMA) approach called the Snow Property Inversion from Remote Sensing (SPIReS, <a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0040">Bair et al, 2021</a>). This dataset uses surface reflectance inputs from <a href="https://lpdaac.usgs.gov/products/mod09gav061/">MOD09GA v6.1</a> and includes additional outputs not included in the original version of SPIReS: snow albedo and snow radiative forcing.The SPIReS SMA model considers three spectral endmembers: snow, shade, and a snow-free background reflectance, which is identified for each MODIS pixel as the average MOD09GA reflectance measured typically between 1 August and 30 September for a given year in the northern hemisphere. dust concentration is solved for simultaneously with fractional snow cover and snow grain size during the spectral unmixing process. SPIReS snow albedo are derived using a lookup table that incorporates snow grain size, dust concentration, and surface illumination (<a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0025">Bair et al., 2019</a>). After the fSCA, grain size, and dust concentration are determined, these properties are filled, smoothed, and adjusted for canopy gap size, shade, and permanent ice. SPIReS radiative forcing are derived using a lookup table that incorporates LAP concentration and clear sky incoming solar irradiance. Data are available from 01 October 2024 to present. These data are provided in the netCDF-4 format with a Sinusoidal projection and are currently available for the western United States (MODIS tiles h08v04, h08v05, h09v04, h09v05, h10v04). Additional tiles will be added over time. For data prior to 01 October 2024, please see the historical dataset (<a href="https://doi.org/10.7265/a3vr-c014">Rittger et al., 2025</a>) created by Snow Today at NSIDC.Data can be accessed via ftp://dtn.rc.colorado.edu/shares/snow-today/spires/SPIRES_NRT_V01Note: Authors Rittger, K. and Lenard, S. contributed equally to this work

MODIS/Terra Near Real Time (NRT) Geolocation Angles Daily L2G Global 1km SIN Grid Day

The MODIS Near Real Time (NRT) Global Geolocation Angle (MODMGGAD) files contain information on solar illumination and instrument viewing geometry angles. These data can be used to model the geometric relationship and distance between the area of the Earth's surface imaged, the sun, and the sensor. This is often required to perform atmospheric corrections, or to convert or calibrate spectral data to known (absolute) radiance or reflectance units.MODMGGAD files are used as input to higher-level products such as MODIS Surface Reflectance (MOD09). Geometric information for each sensor observation is stored on a geolocated grid with Level-2 geophysical parameters stored as Level-2G (gridded) products. The multiple observations stored in the L2G grids are examined by the Level-3 processes to extract only the most relevant observations per grid cell.

MODIS/Terra Near Real Time (NRT) Surface Reflectance Rolling-8-Day L3 Global 250m SIN Grid

The The MODIS Near Real Time (NRT) product, MOD09Q1N provides Band 1 and 2 data at 250 meter resolution in a daily rolling 8-day gridded level-3 product in the Sinusoidal projection. Each MOD09Q1N pixel contains the best possible L2G observation during an 8-day period as selected on the basis of high observation coverage low view angle the absence of clouds or cloud shadow and aerosol loading. Science Data Sets provided for this product include reflectance values for Bands 1 and 2 and a quality rating.

restrictednotspecifiedAug 2025View details →

Ground-Based GNSS-based Upper Atmospheric Realtime Disaster Information and Alert Network (GUARDIAN) GPS daily accumulated real-time Precise Orbit Determination (POD) Clock Corrections (1-second sampling, 24-hour files) from NASA CDDIS

This product contains a high-rate time series of clock biases for healthy satellites in the GPS constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the corrections are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.

restrictednotspecifiedMar 2025View details →

AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances in BUFR format V005 (AIRIBRAD_NRT_BUFR) at GES DISC

WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space. The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the “spectral_freq” parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K. Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid. END OF WARNING. This product is a 324-channel subset of the AIRIBRAD_NRT_005 product in which the AMSU footprints from AIRABRAD_NRT_005 product are also included and converted to binary Universal Form for the Representation of meteorological data (BUFR). The AIRS and AMSU Level 1B products differ from routine processing in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors.

MODIS/Terra Near Real Time (NRT) Raw Radiances in Counts 5-Min L1A Swath

This is MODIS Level-1A Near Real Time (NRT) product containing reformatted and packaged raw instrument data. MODIS instrument data, in packetized form, is reversibly transformed to a computer data structure, along with formatted engineering and spacecraft ancillary data. The Level-1A data is separated into granules for passage to the geolocation and calibration processes. Quality indicators are added to the data to indicate missing pixels and instrument modes. This product contains MODIS digitized raw detector counts data for all 36 MODIS spectral bands, at 250 m, 500 m, or 1 km spatial resolutions including all time tags, all detector views (Earth, solar diffuser, Spectro-Radiometeric Calibration Assembly (SRCA), black body, and space view), and all engineering and ancillary data. Quality indicators are added to to the data to indicate missing or bad pixels and instrument modes. Only bands 20 to 36 are used to collect measurements in night mode, while all bands are used in day mode. Visible, SWIR, and NIR measurements are made during daytime only, while radiances for TIR are measured during both day and night portions of the orbit.

MODIS/Terra Near Real Time (NRT) Geolocation Fields 5-Min L1A Swath 1km

The Near Real Time (NRT) geolocation fields are calculated for each 1 km MODIS Instantaneous Field of Views (IFOV) for all orbits daily. The locations and ancillary information corresponds to the intersection of the centers of each IFOV from 10 detectors in an ideal 1 km band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit, the instrument telemetry and the digital elevation model. The geolocation fields include geodetic Latitude, Longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1 km sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors of any of the 36 MODIS bands. This product is used as input by a large number of subsequent MODIS products, particularly the products produced by the Land team.The shortname for this product is MOD03.

restrictednotspecifiedMar 2025View details →

AIRS/Aqua L2 Near Real Time (NRT) Standard Physical Retrieval (AIRS-only) V006 (AIRS2RET_NRT) at GES DISC

The Atmospheric Infrared Sounder (AIRS) Level 2 Near Real Time (NRT) Standard Physical Retrieval (AIRS-only) product (AIRS2RET_NRT_006) differs from the routine product (AIRS2RET_006) in four ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude, (3) if the forecast surface pressure is unavailable, a surface climatology is used, and (4) no ice cloud properties retrievals are performed. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. This product is produced using AIRS IR only because the radiometric noise in AMSU channel 4 started to increase significantly (since June 2007). The AIRS Standard Retrieval Product consists of retrieved estimates of cloud and surface properties, plus profiles of retrieved temperature, water vapor, ozone, carbon monoxide and methane. Estimates of the errors associated with these quantities is also part of the Standard Product. The temperature profile vertical resolution is 28 levels total between 1100 mb and 0.1 mb, while moisture profile is reported at 14 atmospheric layers between 1100 mb and 50 mb. The horizontal resolution is 50 km. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.

restrictednotspecifiedMar 2025View details →

Sentinel-5P TROPOMI Near-Real-Time (NRT) Sulphur Dioxide SO2 1-Orbit L2 5.5km x 3.5km V2 (S5P_L2SO2__HiR_NRT) at GES DISC

The Sentinel-5P TROPOMI Near Real Time (NRT) Sulphur Dioxide SO2 1-Orbit L2 5.5km x 3.5km V2 (S5P_L2__SO2____HiR_NRT) at GES DISC is the near real time version of the offline S5P_L2__SO2____HiR data product. These data are typically available within three hours of measurement as required by the Land Atmosphere NRT Capability Earth Observing System (LANCE). These data are intended for a rapid turnaround assessment and are only archived for up to ten days. Users who require a longer data record, or wish to conduct rigorous analysis should use the offline version of this product S5P_L2__SO2____HiR. The Copernicus Sentinel-5 Precursor (Sentinel-5P or S5P) satellite mission is one of the European Space Agency's (ESA) new mission family - Sentinels, and it is a joint initiative between the Kingdom of the Netherlands and the ESA. The sole payload on Sentinel-5P is the TROPOspheric Monitoring Instrument (TROPOMI), which is a nadir-viewing 108 degree Field-of-View push-broom grating hyperspectral spectrometer, covering the wavelength of ultraviolet-visible (UV-VIS, 270nm to 495nm), near infrared (NIR, 675nm to 775nm), and shortwave infrared (SWIR, 2305nm-2385nm). Sentinel-5P is the first of the Atmospheric Composition Sentinels and is expected to provide measurements of ozone, NO2, SO2, CH4, CO, formaldehyde, aerosols and cloud at high spatial, temporal and spectral resolutions. The retrieval algorithm for Sentinel-5P TROPOMI SO2 from ultraviolet spectral measurements is the Differential Optical Absorption Spectroscopy (DOAS) method. The relevant information of absorption cross section, instrument characteristics, cloud cover, and geolocation are utilized to derive SO2 slant column density (SCD). A sensitive spectral window of 312 to 326 nm is set as the baseline for the slant column fit with another two spectral windows (325 to 335 nm, 360 to 390 nm) to account for the non-linear effects in those high column amount cases. The SCD is then corrected with the empirical offsets to the systematic biases. The air mass factor (AMF) Look-up table has been created with the LIDORT radiative transfer model. The outputs of the DOAS algorithm are SO2 vertical column density (VCD), SCD, AMF, the DOAS-type averaging kernels (AK), and error estimates. Data are stored in individual files, or granules, that contain one orbit of information. The data are stored in netCDF4 data format and files and complete files are ~100 MB.

GHRSST Level 2P Global Near-Real-Time Subskin Sea Surface Temperature version 8.2 (v8.2) from the Advanced Microwave Scanning Radiometer 2 (AMSR2) on the GCOM-W satellite by REMSS

This product provides a near-real-time (NRT) Level-2 Sea Surface Temperature (SST) (identified by "_rt_" within the file name) for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, which is derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) by Remote Sensing Systems (RSS, or REMSS). AMSR2 was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. The NRT SST is made as available as soon as possible, generally within 3 hours latency. The v8.2 supersedes the previous v8a dataset which can be found at https://www.doi.org/10.5067/GHAM2-2TR8A.

MODIS/Aqua Near Real Time (NRT) Aerosol 5-Min L2 Swath - 3km

The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties (e.g., optical thickness and size distribution), mass concentration, look-up table derived reflected and transmitted fluxes, as well as quality assurance and other ancillary parameters, globally over ocean and near globally over land.In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km at nadir spatial resolution. For C6, the Dark Target (DT) Aerosol algorithm team now provides a new 3 km spatial resolution product intended for the air quality community. The short name for this product is MYD04_3k.The MYD04_3K product is based on the same algorithm and using the same Look Up Tables as the standard Dark Target aerosol product. Because of finer resolution, subtle differences are made in selecting pixels for retrieval and in determining QA. The only differences between the existing 10km algorithm and the new 3km algorithm are: 1) the size of the pixel-arrays defining each retrieval box (used 6x6 retrieval boxes of 36 pixels at 0.5km resolution for 3km algorithm as oppose to 20x20 retrieval boxes of 400 pixels at 0.5km resolution used for 10km product); 2) the minimum percentage of ???good??? pixels required for a retrieval (required a minimum of 5 pixels over ocean and 6 pixels over land instead of a minimum of 10 pixels over ocean or 12 pixels over land for (more for high quality) 10km product retrieval); 3) the 10km algorithm attempts a ???poor quality??? retrieval while 3km algorithm does not. Everything else is the same in two products.Recommendations:Global studies should continue to make use of the more robust and well-studied 10 km product. The 3 km product???s use should be restricted to obvious situations that require finer resolution.Only the AOD at 550 nm has been studied in depth at this point. Difference in AOD at wavelengths, and differences in the size parameters over ocean are possible. More validation will be forthcoming.Aerosol-cloud studies with the 3 km product should proceed cautiously. At this time, we do not specifically know how the 3 km product is affected in the proximity of clouds.While the air quality community will be eager to apply the 3 km product across an urban landscape, this must proceed cautiously because of known artifacts in the product over urban surfaces.The power of the 3 km product is on local, not global, scales.List of SDSs available at 3 kmSpatial & Temporal Resolution:Longitude, Latitude, Scan_Start_TimeSolar and Sensor Viewing Geometry:Solar_Zenith, Solar_Azimuth, Sensor_Zenith, Sensor_AzimuthAerosol Parameters for Land & Ocean (Combined):Scattering_Angle, Land_sea_Flag,Optical_Depth_Land_And_Ocean, Image_Optical_Depth_Land_And_Ocean, Land_Ocean_Quality_FlagAerosol Parameters from Land Retrieval Algorithm:Aerosol_Type_Land, Fitting_Error_Land, Surface_Reflectance_Land, Corrected_Optical_Depth_Land, Corrected_Optical_Depth_Land_wav2p1, Optical_Depth_Ratio_Small_Land, Number_Pixels_Used_Land, Mean_Reflectance_Land, STD_Reflectance_Land, floatMass_Concentration_Land,Aerosol_Cloud_Fraction_Land, byteQuality_Assurance_Land, Topographic_Altitude_LandAerosol Parameters from Ocean Retrieval Algorithm:Glint_Angle, Wind_Speed_Ncep_Ocean, Solution_Index_Ocean_Small, Solution_Index_Ocean_Large, Effective_Optical_Depth_Best_Ocean, Effective_Optical_Depth_Average_Ocean, Optical_Depth_Small_Best_Ocean, Optical_Depth_Small_Average_Ocean, Optical_Depth_Large_Best_Ocean, Optical_Depth_Large_Average_Ocean, floatMass_Concentration_Ocean, Aerosol_Cloud_Fraction_Ocean, Effective_Radius_Ocean, Cloud_Condensation_Nuclei_Ocean, Asymmetry_Factor_Best_Ocean, Asymmetry_Factor_Average_Ocean, Backscattering_Ratio_Best_Ocean, Backscattering_Ratio_Average_Ocean, Angstrom_Exponent_1_Ocean, Angstrom_Exponent_2_Ocean, Least_Squares_Error_Ocean, Optical_Depth_Ratio_Small_Ocean_0.55micron, Optical_Depth_by_models_ocean, Number_Pixels_Used_Ocean, Mean_Reflectance_Ocean, STD_Reflectance_Ocean,byteQuality_Assurance_Ocean See the MODIS Science Team homepage for more data set information: http://modis-atmos.gsfc.nasa.gov/Webinar2014/MODIS_Atmos_Webinar-2_Munchak_3kmaerosol.pdf or visit theMODIS Atmosphere Team homepage for 10km product information:http://modis-atmos.gsfc.nasa.gov/MOD04_L2/

Near Real-Time MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Grain Size, and Dust Radiative Forcing, Version 1

This data set represents an updated version of the MODIS Snow Covered Area and Grain-size (MODSCAG) and MODIS Dust Radiative Forcing in Snow (MODDRF) data sets previously produced by the NASA Jet Propulsion Laboratory (JPL). Data are derived from NASA LANCE near real-time MODIS/Terra surface reflectance data (<a href="https://lance.modaps.eosdis.nasa.gov/modis/">MOD09GA_NRT</a>) but are not themselves near real-time, nor part of NASA LANCE. This data set contains the following parameters: snow fraction, snow grain size (from the SCAG algorithm), vegetation fraction, rock fraction, ice fraction, shade fraction, deltavis, radiative forcing, and optical snow grain size (from the DRFS algorithm). Data are available from 1 November 2023 to the present for 16 regions in North America, and from 01 April 2025 to present over the South Island of New Zealand and the Andes mountains in Chile. Additional tiles will be added over time until global coverage is reached. These data are provided in netCDF format.

MODIS/Aqua Near Real Time (NRT) Snow Cover 5-Min L2 Swath 500m, Version 006

The MODIS/Aqua Near Real Time (NRT) Snow Cover 5-Min L2 Swath 500m (MYD10_L2) data set contains snow cover and Quality Assessment (QA) data, latitudes and longitudes in compressed Hierarchical Data Format-Earth Observing System (HDF-EOS) format, and corresponding metadata. Latitude and longitude geolocation fields are at 5 km resolution while all other fields are at 500 m resolution. Version 5 (V005), the latest version of the Moderate Resolution Imaging Spectroradiometer (MODIS) data available has two separate snow fields. The first field, snow cover, classifies each cloud-free land or inland water body pixel as snow-covered or snow-free, the second field, fractional snow cover, provides the percent of snow cover within each pixel for land and inland water bodies. MODIS snow cover data are based on a snow mapping algorithm that employs a Normalized Difference Snow Index (NDSI) and other criteria tests. Data are stored in HDF-EOS format, and are available from 4 July 2002 to present. Data can also be obtained in GeoTIFF format by ordering the data through the Data Pool.

AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances V8.0 (AIRSAQIRL1B_NRT) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1B data set contains AIRS calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian for 2378 infrared channels in the 3.74 to 15.4 micron region of the spectrum. The AIRS Level 1B Near Real Time (NRT) product (AIRSIRAQL1B_NRT_v8.0) differs from the routine product (AIRSAQIRL1B_8) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The products are stored in files (often referred to as "granules") that contain 6 minutes of data, 90 footprints across track by 135 lines along track.

GHRSST Level 3U Global Near-Real-Time Subskin Sea Surface Temperature version 8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite

GDS2 Version -The Advanced Microwave Scanning Radiometer 2 (AMSR2) was launched on 18 May 2012, onboard the Golbal Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. Remote Sensing Systems (RSS, or REMSS), providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by "rt" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. "Final" data (currently identified by "v8" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final "v8" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 2 days.