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159 results for “MODY 5”
MODIS/Aqua Land Surface Temperature/3-Band Emissivity 5-Min L2 1km NRT
The MODIS/Aqua Land Surface Temperature/3-Band Emissivity (LST&E) 5-Min L2 1km data product, short-name MYD21 is produced daily in five minute temporal increments of satellite acquisition. The swath is approximately 2,030 pixels along track and 1,354 pixels per line, at a nadir resolution of 1,000 meters. The MYD21 Land Surface Temperature (LST) algorithm differs from the MYD11 (https://doi.org/10.5067/modis/myd11_l2.061) algorithm in that the MYD21 LST algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. Additional details regarding the method used to create this Level 2 (L2) product are available in the Algorithm Theoretical Basis Document (ATBD (https://lpdaac.usgs.gov/documents/107/MOD21_ATBD.pdf)). The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and more.
MODIS/Aqua Aerosol 10km 5-Min L2 Wide Swath Subset along CloudSat V002 (MAC04S1) at GES DISC
This is the wide-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the wide-swath subset is to select and return MODIS data that are within +-100 km across the CloudSat track. I.e. the resultant MODIS subset swath is sought to be about 200 km cross-track. However, the original MYD04_L2 has 10-km pixels. Thus, MAC04S1 cross-track width is 21 pixels, and the resultant cross-track swath width is about 200 km. Along-track, all MODIS pixels from the original product are preserved. In the standard product, 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. (The shortname for this product is MAC04S1).
MODIS/Aqua Total Precipitable Water Vapor 5-Min L2 Swath 1km and 5km - NRT
The MODIS Adaptive Processing System (MODAPS) is currently generating an improved Collection 6.1 (061) for all MODIS Level-1 (L1) and higher-level Level-2 (L2) and Level-3 (L3) Atmosphere products. This decision to create a new improved Collection 6.1 (061) was driven by the need to address a number of issues in the current Collection 6 (006) Level-1B (L1B) data. These L1B issues had a negative impact in varying degrees in downstream products.The MODIS level-2 atmospheric precipitable water product consists of total atmospheric column water vapor amounts (and ancillary parameters) over clear land areas of the globe, over extended clear oceanic areas with the Sun glint, and above clouds over both land and ocean. The shortname for this level-2 MODIS total precipitable water vapor product is MYD05_L2. In Collection 6, MODIS column water vapor (MYD05) datasets continue to be separately available from infrared and near-infrared methods.The estimates based on a near-infrared algorithm uses only daytime measurements with solar zenith angle less than 72 degrees. The retrieval algorithm relies on observations of water vapor attenuation of near-infrared solar radiation reflected by surfaces and clouds. The product is produced only over areas that have reflective surfaces in the near-infrared. The near-infrared algorithm refinement for this product is no longer being supported by NASA and as such there has been no update to this algorithm for C6.1.For more information visit MODIS Atmosphere product website at:https://modis-atmos.gsfc.nasa.gov/products/water-vapor
MODIS/Terra Temperature and Water Vapor Profiles 5-Min L2 Swath 5km - NRT
The level-2 MODIS Temperature and Water Vapor Profile Product MOD07_L2 consists of 30 gridded parameters related to atmospheric stability, atmospheric temperature and moisture profiles, total atmospheric water vapor, and total ozone. All of these parameters are produced for both daytime and nighttime conditions at 5-km pixel resolution when at least 9 FOVs are cloud free. The atmospheric profiles are produced at 20 vertical atmospheric levels (5., 10., 20., 30., 50., 70., 100., 150., 200., 250., 300., 400., 500., 620., 700., 780., 850., 920., 950., 1000. mbar) The water vapor parameter is an estimate of the total tropospheric column water vapor made from integrated MODIS infrared retrievals of atmospheric moisture profiles in clear scenes. The thermal band 9.6 micron is used for retrieving total ozone burden. The shortname for this Level-2 MODIS atmospheric profile product is MOD07_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel ( paulm@ssec.wisc.edu).The MODIS atmospheric profile (MOD07_L2) product contains data that has a spatial resolution (pixel size) of 5 x 5 kilometers (at nadir). Each MOD07_L2 product file covers a five-minute time interval, which means the MOD07_L2 output grid is 270 5-km pixels in width and 406 5-km pixels in length for nine consecutive granules. Every tenth granule has an output grid size of 270 by 408 pixels.MOD07_L2 product files are stored in Hierarchical Data Format(HDF-EOS). Twenty eight of the 30 gridded cloud parameters(5-kilometer pixel resolution) are stored as Scientific Data Sets (SDS) within the file, the remaining two algorithmic static parameters (band number and presure level) are stored as Vdata(table arrays). Cloud Mask SDS, derived from the 1-km MOD35_L2 Cloud Mask parameter, is remapped to 5-km resolution, by using only the center 1-km pixel in the 5x5 pixel retrieval array. The remaining two (band number and static pressure levels) are stored as Vdata(table arrays) Each file is roughly 8 MB in size, and the total data volume is approximately 2 GB/day.MOD07_L2 Data Group and Parameters: Spatial & Temporal Resolution:Latitude & LongitudeScan start timeSolar and Sensor Viewing Geometry:Solar zenith & Solar azimuth angleSensor zenith & Sensor azimuth angleStatic Algorithm Parameters:MODIS band number; Pressure levels Atmospheric & Surface Pressure:Retrieved Geopotential Height ProfileTropopause HeightSurface Elevation, Surface Pressure Atmospheric & Surface Temperature:Guess & Retrieved Temperature ProfilesBrightness Temperature and Skin TemperatureAtmospheric Moisture:Guess Mixing ratio ProfileRetrieved Dew Point Temperature ProfileAtmospheric Stability Indices:Total Totals, Lifted Index, and K-index Atmospheric Trace Gases:Total Ozone BurdenTotal Column Precipitable Water Vapor - IR RetrievalTotal Column Precipitable Water Vapor - Direct IR RetrievalWater Vapor(Low & High)Retrieved Water Vapour Mixing Ratio Profile Quality Assurance & Statistical Parameters:Quality Assurance Parameters Run time QA flags MODIS Cloud Mask Processing Flag These parameters are very essential in the characterization of the atmosphere, atmospheric correction of remotely sensed surface parameters, and prediction of convective clouds and thunderstorms. For more information about the MOD07_L2 product, visit the MODIS-Atmosphere site at:https://modis-atmos.gsfc.nasa.gov/products/atm-profile
MODIS/Terra Aerosol 5-Min L2 Swath 3km - NRT
The new Collection 6.1 (C61) MOD04_3K product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MOD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MOD04_3k) intended for the air quality community.The MOD04_3K product is based on the same algorithm and 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 ( 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 for 10km product); 2) the minimum percentage of good” pixels required for a retrieval (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 10km product retrieval); 3) the 10km algorithm attemptes a poor quality retrieval while 3km algorithm does not. Everything else is same in two products.For more information on C6.1 changes and updates, visit the MODIS Atmosphere website at:https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61
MODIS/Aqua Clouds 1km and 5km 5-Min L2 Narrow Swath Subset along CloudSat V002 (MAC06S0) at GES DISC
This is the narrow-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the narrow-swath subset is to select and return MODIS data that are within +-5 km across the CloudSat track. I.e. the resultant MODIS subset swath is sought to be about 10 km cross-track. However, the original MYD06_L2 has data of 5- and 1-km pixels. Thus, MAC06S0 cross-track width is 3- and 11-pixels, depending on the parameter, and the resultant swath is about 15- and 10-km, correspondingly. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the level-2 MODIS cloud product consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared, visible and near infrared solar reflected radiances. MODIS infrared channel radiances are used to derive cloud top temperature, cloud top height, effective emissivity, cloud phase (ice vs. water, opaque vs. non-opaque), and cloud fraction under both daytime and nighttime conditions. MODIS visible radiances are used to derive cloud optical thickness and effective particle radius and cloud shadow effects. Near infrared solar reflected radiance provides additional information in the retrieval of cloud particle phase (ice vs. water, clouds vs. snow). The shortname for this level-2 MODIS cloud product is MAC06S0. YD06_L2 and the principal investigators for this product are MODIS scientists Dr. Bo-Cai Gao (gao@rsd.nrl.navy.mil) for cirrus cloud detection; Dr. Paul Menzel (paulm@ssec.wisc.edu) for cloud top properties; and Dr. Michael King(king@climate.gsfc.nasa.gov) for cloud optical properties. (The shortname for this product is MAC06S0).
MODIS/Terra Cloud Mask and Spectral Test Results 5-Min L2 Swath 250m and 1km - NRT
The MODIS level-2 cloud mask product is a global product generated for both daytime and nighttime conditions at 1-km spatial resolution (at nadir) and for daytime at 250-m resolution. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence levels that an unobstructed view of the Earth's surface is observed. The Terra MODIS Photovoltaic (PVLWIR) bands 27-30 are known to experience an electronic crosstalk contamination. The influence of the crosstalk has gradually increased over the mission lifetime, causing for example, earth surface features to become prominent in atmospheric band 27, increased detector striping, and long term drift in the radiometric bias of these bands. The drift has compromised the climate quality of C6 Terra MODIS L2 products that depend significantly on these bands, including cloud mask (MOD35), cloud fraction and cloud top properties (MOD06), and total precipitable water (MOD07). A linear crosstalk correction algorithm has been developed and tested by MCST.The electronic crosstalk correction was made to the calibration algorithm for bands 27-30 and implemented into C6.1 operational L1B processing. This implementation greatly improves the performance of the cloud mask.For more information on C6.1 changes visit:https://modis-atmos.gsfc.nasa.gov/documentation/collection-61The shortname for this Level-2 MODIS cloud mask product is MOD35_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel ( paulm@ssec.wisc.edu). MOD35_L2 product files are stored in Hierarchical Data Format (HDF-EOS). Each of the 9 gridded parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Cloud Mask and Quality Assurance SDS's are stored at 1 kilometer pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution.Link to the MODIS homepage for more data set information: https://modis-atmos.gsfc.nasa.gov/products/cloud-mask
MODIS/Aqua Near Real Time (NRT) Total Precipitable Water Vapor 5-Min L2 Swath 1km and 5km
The MODIS level-2 atmospheric precipitable water product consists of total atmospheric column water vapor amounts (and ancillary parameters) over clear land areas of the globe, over extended clear oceanic areas with the Sun glint, and above clouds over both land and ocean. The shortname for this level-2 MODIS total precipitable water vapor product is MYD05_L2. In Collection 6, MODIS column water vapor (MYD05) datasets continue to be separately available from infrared and near-infrared methods.The estimates based on a near-infrared algorithm uses only daytime measurements with solar zenith angle less than 72 degrees. The retrieval algorithm relies on observations of water vapor attenuation of near-infrared solar radiation reflected by surfaces and clouds. The product is produced only over areas that have reflective surfaces in the near-infrared. The near-infrared algorithm refinement for this product is no longer being supported by NASA and as such there has been no update to this algorithm for C6.The clear-sky infrared-derived precipitable water vapor generated for both daytime and nighttime conditions is derived from the previously reprocessed Atmospheric Profile (MOD07) C6 product that included a new layer scheme for total precipitable water.MYD05_L2 product files are stored in Hierarchical Data Format (HDF-EOS). The file contains 13 gridded parameters. Each of these gridded MYD05 parameters is stored as a Scientific Data Set (SDS) within the HDF-EOS file. The Water Vapor and Quality Assurance SDS's are stored at 1 kilometer (near-infrared) and 5 kilometer (for infrared) pixel resolution. All other SDS's (those relating to time, geolocation, and viewing geometry) are stored at 5 kilometer pixel resolution. The Cloud Mask SDS, copied from the MOD35_L2 Product is stored at 1 kilometer resolution. Each file is roughly 3.5 MB in size, and the total data volume is approximately 1 GB/day.MODIS Data Category and ParametersSpatial and Temporal Resolution:latitude,longitudescan start timeSolar and Sensor Viewing Geometry:solar zenith angle, solar azimuth angle, sensor zenith angle, sensor azimuth angleWater Vapor Parameters:near-infrared estimated water vapor(1km), water vapor correction factors(1km), infrared estimated water vapor(5km)Quality Assurance & Statistical Parameters:QA flags for near-infrared retrieval(1km), QA flags for infrared retrieval(5km), cloud mask(1km)The near-infrared water vapor estimates are very sensitive to boundary layer water vapor since they are derived from atmospheric attenuation of surface reflected radiances. This product is essential to the understanding of hydrological cycle, aerosol properties, aerosol-cloud interactions, energy budget, and climate.For more information about the MYD05_L2 product, visit the MODIS-Atmosphere site at:http://modis-atmos.gsfc.nasa.gov/MOD05_L2/orVisit the MODIS Science Team homepage:http://modis.gsfc.nasa.gov/data/dataprod/
MODIS/Terra 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 (MOD04_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 MOD04_3k. The MOD04_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 km Spatial & 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 the MODIS Atmosphere Team homepage for 10km product information:http://modis-atmos.gsfc.nasa.gov/MOD04_L2/
MODIS/Terra Geolocation Fields 5-Min L1A Swath 1km - NRT
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.
MODIS/Aqua Geolocation Fields 1km 5-Min 1A Narrow Swath Subset along CloudSat V002 (MAC03S0) at GES DISC
This is the narrow-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the narrow-swath subset is to select and return MODIS data that are within +-5 km across the CloudSat track. I.e. the resultant MODIS subset swath is about 10 km cross-track. Thus, MAC03S0 cross-track width is 11 pixels. Along-track, all MODIS pixels from the original product are preserved. In the standard product, 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 MAC03S0).
MODIS/Terra Thermal Anomalies/Fire 5-Min L2 Swath 1km NRT
The MODIS/Terra Thermal Anomalies/Fire 5-Min L2 Swath 1km Near Real Time (NRT), short name MOD14, product is primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline.MOD14 is level-2 swath data provided daily at 1-kilometer resolution. The Science Data Sets in this product include fire-mask, algorithm quality, radiative power, and numerous layers describing fire pixel attributes. The Terra MODIS instrument acquires data twice daily (10:30 AM and PM), as does the Aqua MODIS (1:30 PM and AM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate.
MODIS/Aqua Clouds 1km and 5km 5-Min L2 Swath Subset along MLS V002 (MAM06S0) at GES DISC
This is the MODIS/Aqua subset along MLS field of view track. The goal of the subset is to select and return MODIS data that are within +-100 km across the MLS track. I.e. the resultant MODIS subset swath is sought to be about 200 km cross-track. However, the original MYD06_L2 has data of 5- and 1-km pixels. Thus, MAM06S0 cross-track width is 41- and 201-pixels, depending on the parameter. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the level-2 MODIS cloud product consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared, visible and near infrared solar reflected radiances. MODIS infrared channel radiances are used to derive cloud top temperature, cloud top height, effective emissivity, cloud phase (ice vs. water, opaque vs. non-opaque), and cloud fraction under both daytime and nighttime conditions. MODIS visible radiances are used to derive cloud optical thickness and effective particle radius and cloud shadow effects. Near infrared solar reflected radiance provides additional information in the retrieval of cloud particle phase (ice vs. water, clouds vs. snow). (The shortname for this product is MAM06S0).
MODIS/Terra Total Precipitable Water Vapor 5-Min L2 Swath 1km and 5km
The MODIS/Terra Total Precipitable Water Vapor 5-Min L2 Swath 1km and 5km (MOD05_L2) product consists of atmospheric column water-vapor amounts. This product is derived from data collected by the Moderate-Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. There are two different algorithms used to derive total precipitable water vapor in this data product: a near-infrared algorithm and an infrared algorithm. The near-infrared algorithm relies on observations of reflected solar radiation in MODIS's near-infrared channels, thus, the near-infrared retrievals are only produced during the daytime over surfaces that reflect near-infrared energy. As a result, the near-infrared algorithm is only applied over clear, cloud free land areas of the globe and above clouds over both the land and ocean. Over clear ocean areas, water-vapor estimates are provided over extended sun glint areas. Data produced by the near-infrared algorithm are generated at a 1-km spatial resolution. The other algorithm is the infrared algorithm which can be used to derive atmospheric precipitable water vapor profiles during both day and night. Data from the infrared algorithm are generated at a 5-km spatial resolution when at least nine field of views (FOVs) are cloud free. The infrared-derived precipitable water vapor is generated as a component of product MOD07, and is simply added to product MOD05 for convenience. There are two MODIS Precipitable Water Vapor products: MOD05_L2, containing data collected from the Terra platform; and MYD05_L2, containing data collected from the Aqua platform. This dataset has a short name of MOD05_L2 and provides data from the Terra platform only. The MODIS Adaptive Processing System (MODAPS) is currently generating an improved version 6.1 (061) for all MODIS Level-1 (L1) and higher-level Level-2 (L2) & Level-3 (L3) Atmosphere Team products. The decision to create a new improved Collection 6.1 (061) was driven by the need to address a number of issues in the current Collection 6 (006) Level-1B (L1B) data, which have a negative impact in varying degrees in downstream products. It should be noted that the near-infrared algorithm refinement for this product is no longer being supported by NASA and as such there has been no update to this algorithm for Collection 6.1.For more information, visit the MODIS Atmosphere website at:https://modis-atmos.gsfc.nasa.gov/products/water-vapor
MODIS/Aqua Cloud Mask 5-Min Swath 1000 m
The MODIS-VIIRS Cloud Mask (MVCM) is designed to facilitate continuity in cloud detection between the MODIS (Moderate Resolution Imaging Spectroradiometer) on the Aqua and Terra platforms and the series of VIIRS (Visible Infrared Imaging Radiometer Suite) instruments, beginning with the Suomi NPP spacecraft. To establish continuity, this MODIS MVCM product does not use an algorithm identical to that used in the standard MODIS product (MOD35/MYD35). The MVCM-MODIS Cloud Mask product is Aqua MOIDS Level-2, 5-Min Swath product generated at 1000 m (at nadir) spatial resolution. The algorithm employs a series of visible through infrared threshold and consistency tests to specify confidence that an unobstructed view of the Earth's surface has been observed. Radiometrically-accurate radiances are required, thus holes in the cloud mask will appear wherever the input radiances are incomplete or of poor quality.For more information consult Product Page at: https://cimss.ssec.wisc.edu/MVCM/
MODIS/Terra Near Real Time (NRT) Calibrated Radiances 5-Min L1B Swath 250m
The 250 meter MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 2 discrete bands located in the 0.62 to 0.88 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W / (m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for these solar reflective bands through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data. Channel locations for the MODIS 250 meter data are as follows: Band Center Wavelength (um) Primary Use ---- ---------------------- ----------- 1 0.620 - 0.670 Land/Cloud Boundaries 2 0.841 - 0.876 Land/Cloud Boundaries Separate L1B products are available for the five 500 m resolution channels (MOD02HKM) and the twenty-nine 1 km resolution channels (MOD021KM). For the 500 m product, there are actually seven channels available since the data from the two 250 m channels have been aggregated to 500 m resolution. Similarly, for the 1 km product, all 36 MODIS channels are available since the data from the two 250 m and five 500 m channels have been aggregated into equivalent 1 km pixel values. Spatial resolution for pixels at nadir is 250 m, degrading to 1.2 km in the along-scan direction and 0.5 km in the along-track direction for pixels located at the scan extremes. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B 250 m granule will contain a scene built from 203 scans sampled 5416 times in the cross-track direction, corresponding to approximately 5 minutes worth of data; thus 288 granules will be produced per day. Since an individual MODIS scan will contain 40 along-track spatial elements for the 250 m channels, the scene will be composed of (5416 x 8120) pixels, resulting in a spatial coverage of (2330 km x 2040 km). Due to the MODIS scan geometry, there will be increasing scan overlap beyond about 17 degrees scan angle. To summarize, the MODIS L1B 250 m data product consists of: 1. Calibrated radiances and uncertainties for (2) 250 m reflected solar bands 2. Subsampled geolocation at every 4th 250 m pixel across and along track, i.e., a geolocation point every kilometer 3. Satellite and solar angles subsampled at the above frequency 4. Calibration data for all channels (scale and offset) 5. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization The MODIS L1B 250 m data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 170 MB. Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MOD02QKM
MODIS/Aqua Raw Radiances in Counts 5-Min L1A Swath - NRT
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.
Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), 1998-2019, V4.GL.03
The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), 1998-2019, V4.GL.03 consists of annual concentrations (micrograms per cubic meter) of all composition ground-level fine particulate matter (PM2.5). This data set combines AOD retrievals from multiple satellite algorithms including the NASA MODerate resolution Imaging Spectroradiometer Collection 6.1 (MODIS C6.1), Multi-angle Imaging SpectroRadiometer Version 23 (MISRv23), MODIS Multi-Angle Implementation of Atmospheric Correction Collection 6 (MAIAC C6), and the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) Deep Blue Version 4. The GEOS-Chem chemical transport model is used to relate this total column measure of aerosol to near-surface PM2.5 concentration. Geographically Weighted Regression (GWR) is used with global ground-based measurements from the World Health Organization (WHO) database to predict and adjust for the residual PM2.5 bias per grid cell in the initial satellite-derived values. These estimates are primarily intended to aid in large-scale studies. Gridded data sets are provided at a resolution of 0.01 degrees to allow users to agglomerate data as best meets their particular needs. Data sets are gridded at the finest resolution of the information sources that were incorporated, but do not fully resolve PM2.5 gradients at the gridded resolution due to influence by information sources at coarser resolution. The data are distributed as GeoTIFF files and are in WGS84 projection.
MODIS/Aqua Aerosol 5-Min L2 Swath 10km - NRT
The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community.For more information visit the MODIS Atmosphere website at:https://modis-atmos.gsfc.nasa.gov/products/aerosolAnd, for C6.1 changes and updates, visit:https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61
MODIS/Aqua CLD Mask Spect. Results 250m and 1km 5-Min L2 Narrow Swath Subset along CloudSat V002 (MAC35S0) at GES DISC
This is the narrow-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the narrow-swath subset is to select and return MODIS data that are within +-5 km across the CloudSat track. I.e. the resultant MODIS subset swath is sought to be about 10 km cross-track. Geolocations in the original product, however, are subsampled at 5-km, and thus the crosss-track width of the subset geolocations is 3 pixels. The subset Cloud Mask has 11 pixels across-track. However, some of the Cloud Mask information is at bit level, thus allowing storing actually 250-m information in seemingly 1-km pixels. This is achieved by reserving 2 bytes (the last two out of six) of every 1-km pixel as 16 yes/no-cloud bits. Each one of these 16 bits flags a corresponding 250-m tile inside the 1-km pixel. Their state is described in the local attributes to the Cloud_Mask HDF data set, and accordingly must be interprated as 0=YES, 1=NO. Thus the effective cross-track width, for these two bytes only, is 44 tiles of 250-m denomination. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the MODIS level-2 cloud mask product is a global product generated for both daytime & nighttime conditions at 1-km spatial resolution (at nadir) and for daytime at 250-m resolution. The algorithm employs a series of visible and infrared threshold and consistency tests to specify confidence levels that an unobstructed view of the Earth's surface is observed. An indication of shadows affecting the scene is also provided. The 250-m cloud mask flags are based on the visible channel data only. Radiometrically accurate radiances are required, so holes in the cloud mask will appear wherever the input radiances are incomplete or of poor quality. The shortname for this Level-2 MODIS cloud mask product is MYD35_L2 and the principal investigator for this product is MODIS scientist Dr. Paul Menzel (paulm@ssec.wisc.edu). (The shortname for this product is MAC35S0).
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