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38 results for “CloudSat”
The CloudSat-CALIPSO Cloud Amount Uncertainty product
<p>Version 1.0 of the dataset. The peer-reviewed publication for this dataset has been published in Remote Sensing, 2021, 13(4), 807, and can be accessed here <a href="https://doi.org/10.3390/rs13040807">https://doi.org/10.3390/rs13040807</a>. Please cite this when using the dataset.</p> <p>The<strong> </strong>‘CloudSat-CALIPSO Cloud Amount Uncertainty’ product provides information about mean annual and mean monthly cloud amount, at 40 vertical levels (480 m), and four spatial resolutions (1°, 2.5°, 5°, and 10°), as derived from the joint CloudSat-CALIPSO lidar-radar observations (2006–2011). For the very first time, the CloudSat-CALIPSO climatology comes with a quantitative uncertainty assessment - bootstrapped confidence intervals for mean values. The width of confidence intervals is an essential element in studying spatial and/or temporal variation in cloud amount with satellite profiling instruments. Uncertainty data are provided at four confidence levels (85%, 90%, 95%, 99%). Data products are distributed as HDF4 files, and can be accessed under the CC BY 4.0 license at doi:10.5281/zenodo.6113205. See the Product documentation file ( LIRAC.conf.v01_doc01.pdf ) for details.</p>
3S-GEOPROF-COMB: A Global Gridded Dataset for Cloud Vertical Structure from combined CloudSat and CALIPSO observations
<p>Global cloud dataset from combined spaceborne radar and lidar.</p> <p>This repository contains the 3S-GEOPROF-COMB product, a globally-gridded dataset for cloud vertical structure retrieved from hybrid active remote sensing (CloudSat radar and CALIPSO lidar) reported at 240 m vertical resolution. Science variables include vertical cloud fraction and vertically-integrated cloud cover for various geometrical criteria (i.e. high, middle, low, and thick clouds, along with with unique high, middle, and low cloud cover variants).</p> <p>A Python notebook showing how to work with the dataset is available <a href="https://github.com/bertrandclim/3S-GEOPROF-COMB/blob/main/notebooks/brief_intro.ipynb">on GitHub</a>, as is the source code used to produce the data product.</p> <p>Our product is calculated from the latest release (R05) of per-orbit (level 2) combined cloud mask profiles in 2B-GEOPROF-LIDAR with additional data from 2B-GEOPROF. Validation and a complete description of the data product is given in the paper <a href="https://doi.org/10.5194/essd-16-1301-2024">"A Global Gridded Dataset for Cloud Vertical Structure from Combined CloudSat and CALIPSO Observations"</a> (Earth System Science Data).</p> <p>Please cite "Bertrand, L., Kay, J. E., Haynes, J., and de Boer, G.: A global gridded dataset for cloud vertical structure from combined CloudSat and CALIPSO observations, Earth Syst. Sci. Data, 16, 1301–1316, https://doi.org/10.5194/essd-16-1301-2024, 2024."</p> <p>The files contained in each folder are given via the following format:</p> <p><strong> instruments_frequency_resolution.zip</strong></p> <ul> <li><strong>instruments:</strong> <ul> <li><strong>radarlidar:</strong> the standard product, computed from merged geometrical profiles of hydrometeor occurrence</li> <li><strong>radaronly:</strong> computed solely from CloudSat radar profiles, otherwise processing is identical. For when users need to determine which instrument is responsible for observations of interest.</li> <li><strong>lidaronly: </strong>computed solely from CALIPSO lidar profiles, otherwise processing is identical. For when users need to determine which instrument is responsible for observations of interest.</li> </ul> </li> <li><strong>frequency:</strong> <ul> <li><strong>monthly:</strong> data files report fields aggregated over a 1-month period</li> <li><strong>seasonal:</strong> data files report fields aggregated over a 3-month period (DJF, MAM, JJA, SON)</li> </ul> </li> <li><strong>resolution:</strong> <ul> <li><strong>2.5x2.5: </strong>each grid box spans 2.5 degrees latitude and 2.5 degrees longitude</li> <li><strong>5x5:</strong> each grid box spans 5 degrees latitude and 5 degrees longitude</li> <li><strong>10x10:</strong> each grid box spans 10 degrees latitude and 10 degrees longitude</li> </ul> </li> </ul> <p>Each folder contains a netCDF data file and a cloud cover quicklook plot image file for each time period over the 2006-2019 data record. Individual files are named according to the following format:</p> <p><strong> timeperiod_instruments_datastream_version.nc (or .png)</strong></p> <ul> <li><strong>timeperiod: </strong>the time step at the given frequency, either e.g. 2006-08 (August 2006) or 2012-DJF (December 2012 to February 2013).</li> <li><strong>instruments</strong><strong>:</strong> the instruments used in the data product as a whole, always CSCAL (CloudSat and CALIPSO).</li> <li><strong>datastream:</strong> either 3S-GEOPROF-COMB (COMBined radar and lidar), 3S-GEOPROF-COMB-RO (the auxiliary Radar Only variant of the product), or 3S-GEOPROF-COMB-LO (the auxiliary Lidar Only variant of the product)</li> <li><strong>version:</strong> current release is v8.4</li> </ul> <p>The product handles the 2011 CloudSat battery anomaly, after which the satellite only collects data in the sunlit portion of its orbit, by allowing users to subsample the pre-anomaly period to mimic the post-anomaly collection patterns. This allows users to estimate the effect of the reduced sampling on their analyses or apply a consistent sampling mode to the entire dataset. This option is provided to users via the "<strong>doop</strong>" dimension. Dimension coordinate value "All cases" reports variables computed using all observations, while "DO-OP observable" reports variables using only input data that either were or would have been collected in DO-OP mode (i.e. the pre-DO-OP period is subsampled to DO-OP collection patterns).</p>
CASCCAD: Cumulus And Stratocumulus Cloudsat-CAlipso Dataset
<p>In these two datasets, we document spatial distributions and profiles of stratocumulus (Sc) and cumulus (Cu) clouds on a global scale.</p> <p>To this end, we design an original discrimination algorithm (DA) that distinguishes Sc and Cu based on three observable cloud-properties: cloud top height (CTH), horizontal cloud fraction (HCF) and vertical cloud fraction variability (VCF). These simple criteria are sufficient to characterize the distinctive shape of Cu, which have a limited horizontal extent and highly variable CTH as opposed to Sc, which cover larger areas and have a small and stable geometrical thickness. The DA is utilized on instantaneous profiles of active-sensor Cloud-Aerosols Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), specifically the General Circulation Model - Oriented CALIPSO Cloud Product (CALIPSO-GOCCP), and CloudSat-CALIPSO combined observations.</p> <p>By documenting the geographical distribution of Sc and Cu clouds, these datasets make it possible to evaluate the shallow convection (Cu type) and boundary layer (Sc type) clouds in state-of-the art climate models, which are typically generated by distinct parametrizations.</p>
Greenland Ice Sheet precipitation and surface temperature from CloudSat and ECMWF
<p>This dataset contains code, data, and instructions for recreating the figures and analysis in Thompson-Munson et al. (submitted), "An Observational Constraint for Future Greenland Rainfall in a Warmer Atmosphere". Please see the readme for instructions and descriptions of the data and code.</p>
Data for: Attributes of CloudSat identified echo objects
<p>This data set contains a collection of attributes associated with CloudSat identified echo objects (or contiguous regions of radar/dBZ echo) from15 June 2006 till 17 January 2013. CloudSat is a NASA satellite that carries a 94 GHz (3 mm) nadir pointing cloud profiling radar (CPR). CloudSat makes approximately 14 orbits per day with an equator passing time of 0130 and 1330 local time. Echo objects were identified using CloudSat's 2B-GEOPROF product that includes 2D arrays (alongtrack x vertical) of the radar reflectivity factor and gaseous attenuation correction. Also included in the product is a "cloud mask" with values ranging between 0 and 40 with higher values indicating a greater likelihood of cloud detection.</p> <p>An EO was defined as a contiguous region of cloud mask greater than or eaqual to 20, consisting of at least three pixels with their edges and not merely their corners touching. Each echo object (EO) is assigned multiple attributes. The geographic attributes include minimum, mean, and maximum latitude and longitude, minimum and maximium location along the CloudSat orbit track, and the underlying surface altitude and land mask data, which allows the EOs to be catagorized as occuring over land, sea, or the coast. The geometric attributes include top, mean, and bottom height, width, and the total number of pixels within the EO. Attributes describing the internal structure of the EO are also available including the number of pixels and cells (i.e., group of pixels) greater than 0 dBZ and -17 dBZ. Finally, the time of day of occurance was also recorded to compare the statistics of EOs ocurring during the daytime versus nighttime. In total, we identified 15,181,193 EOs from 15 June 2006 to 17 January 2013. After 17 April 2011, data were only collected during the day due to a battery failure onboard CloudSat. Each attribute is organized as a 1D array where the size of the array corresponds to the number of EOs. This organization allows subsets of EOs to be easily identified using simple "where" statements when writing code.</p> <p>The attributes were used to identify cloud types and analyze global cloud climatology according to season, surface type, and region (i.e., Riley 2009; Riley and Mapes 2009). The varability of EOs across the MJO was also analyzed (Riley et al. 2011).</p>
Data for: Attributes of CloudSat identified echo objects
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Dataset for "On the quantification of thermodynamic phases of raining clouds: insights from multi-year CloudSat and ground-based radar observations over Longmen, Southern China"
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AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC
This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS/AMSU retrievals at AMSU footprints, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project.The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information,and develop a merged, multi-sensor climatology of atmospheric water vapor as afunction of altitude, stratified by the cloud classes. This is a large scienceanalysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, findspace/time "matchups" between pairs of instruments, and process years ofsatellite data to produce the climate data records.The short name for this collection is AIRSM_CPR_MATParameters contained in the data files include the following:Variable Name|Description|Units CH4_total_column|Retrieved total column CH4| (molecules/cm2) CloudFraction|CloudSat/CALIPSO Cloud Fraction| (None) CloudLayers| Number of hydrometeor layers| (count) clrolr|Clear-sky Outgoing Longwave Radiation|(Watts/m**2) CO_total_column|Retrieved total column CO| (molecules/cm2) CPR_Cloud_mask| CPR Cloud Mask |(None) Data_quality| Data Quality |(None) H2OMMRSat|Water vapor saturation mass mixing ratio|(gm/kg) H2OMMRStd|Water Vapor Mass Mixing Ratio |(gm/kg dry air) MODIS_Cloud_Fraction| MODIS 250m Cloud Fraction| (None) MODIS_scene_var |MODIS scene variability| (None) nSurfStd|1-based index of the first valid level|(None) O3VMRStd|Ozone Volume Mixing Ratio|(vmr) olr|All-sky Outgoing Longwave Radiation|(Watts/m**2) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) Sigma-Zero| Sigma-Zero| (dB*100) TAirMWOnlyStd|Atmospheric Temperature retrieved using only MW|(K) TCldTopStd|Cloud top temperature|(K) totH2OStd|Total precipitable water vapor| (kg/m**2) totO3Std|Total ozone burden| (Dobson) TSurfAir|Atmospheric Temperature at Surface|(K) TSurfStd|Surface skin temperature|(K)End of parameter information
CERES A-Train Integrated CALIPSO, CloudSat, CERES, and MODIS (CCCM) Merged Release D1
CER_CCCM_Aqua-FM3-MODIS-CAL-CS_RelD1 is the Clouds and the Earth's Radiant Energy System (CERES) A-Train Integrated Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), CloudSat Cloudsat, CERES, and Moderate-Resolution Imaging Spectroradiometer (MODIS) (CCCM) Merged Release D1 data product. Data was collected using the CALIOP on CALIPSO, Cloudsat Cloud Profiling Radar (CPR), CERES Flight Model 3 (FM3), CERES Scanner, and MODIS on Aqua. The CALIPSO-CloudSat-CERES-MODIS (CCCM) data set integrates measurements from the CALIPSO CALIOP instrument, CloudSat Cloud Profiling Radar (CPR), CERES, and the MODIS data. The cloud and aerosol properties from CALIOP and cloud properties from the CPR are matched to a MODIS pixel and then an Aqua CERES footprint. The product contains only the CERES footprint in each scan with the highest CALIPSO and CloudSat ground track coverage. The product consists of all cloud and aerosol properties derived from MODIS radiances included in the Single Scanner Footprint (SSF) product and computed irradiances included in the Cloud Radiative Swath (CRS) product. Two sets of SSF variables are included in the CCCM data. One set covers the entire CERES footprint, and the other set is only over the CALIOP and CPR ground track. CERES-derived top-of-atmosphere (TOA) shortwave (SW), longwave (LW), and window (WN) irradiances by angular distribution models are also included. In addition, irradiance profiles computed by a radiative transfer model using MODIS, CALIOP, and CPR-derived aerosol, clouds, and surface properties are included in the product. Furthermore, MODIS-derived cloud properties from the algorithm incorporating CALIOP instrument data and CPR cloud information are also included. MODIS-derived cloud properties and TOA irradiances derived from CERES radiances are produced by the same algorithm that produces CERES SSF and CRS products. However, the CCCM product should not be considered a climate data record since various input data product versions and algorithm modifications will occur during the measurement period. The scan and packet numbers unique to the CERES footprint provide the means to match the data to other CERES products, although the CCCM product contains more near-nadir CERES footprints compared with SSF and CRS products. The resulting HDF granule contains 24 hours of data.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the Proto-Flight Model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments, Flight Models 1 and 2 (FM1 and FM2), were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments, Flight Models 3 and 4 (FM3 and FM4), were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES Flight Model 5 (FM5) instrument was launched onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite on October 28, 2011. The newest CERES instrument, Flight Model 6 (FM6), was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.RelD1 incorporates the latest CERES SSF algorithms and CALIPSO and CloudSat data versions. An additional input is the CloudSat 2C-ICE product. This version also includes single short CALIPSO cloud information.
CERES A-Train Integrated CALIPSO, CloudSat, CERES, and MODIS (CCCM) Merged Release D2
CER_CCCM_Aqua-FM3-MODIS-CAL-CS_RelD2 is Release D2 of a highly fused Level 2 data product that uses multiple satellites and instruments in the Afternoon Train or A-Train to produce high-resolution vertical computed atmosphere fluxes. From Aqua, the Clouds and the Earth's Radiant Energy System (CERES) Flight Model 3 (FM3) and Moderate-Resolution Imaging Spectroradiometer (MODIS); from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP); and from CloudSat, the Cloud Profiling Radar (CPR) instruments are used in the product. The CCCM product name indicates the CALIPSO, CloudSat, CERES, and MODIS merged data synergy. The cloud and aerosol properties from CALIOP and cloud properties from the CPR are used to create high-resolution vertical profiles and sixteen horizontal groupings of cloud and aerosol that are then matched to a MODIS pixel and then convolved into Aqua CERES footprints. The product contains only the CERES footprint in each scan, which has the highest CALIPSO and CloudSat ground track coverage. The high-resolution information is used to compute within-atmosphere irradiance profiles using the Fu-Liou radiation transfer model (RTM). Four assumptions are used in the RTM: Total-sky, clear-sky (no clouds, but aerosol), pristine (no clouds or aerosols), and total-sky, no aerosol. The product also contains variables from the Single Scanner Footprint (SSF) product, including CERES-derived top-of-atmosphere (TOA) shortwave (SW), longwave (LW), and window (WN) irradiances obtained using angular distribution models and computed irradiances included in the Cloud Radiative Swath (CRS) product based on cloud and aerosol properties derived only from MODIS radiances. Two sets of SSF variables are included in the CCCM data. One set uses imager data covering the entire CERES footprint, and the other set only uses imager pixel data that matches with the CALIOP and CPR ground track. However, the CCCM product should not be considered a climate data record since various input data product versions and algorithm modifications will occur during the measurement period. The scan and packet numbers unique to the CERES footprint provide the means to match the data to other CERES products, although the CCCM product contains more near-nadir CERES footprints that are not in the standard SSF, CER_SSF_Aqua-FM3-MODIS_Edition4A, and CRS, CER_CRS_Aqua-FM3-MODIS_Edition2C, products. The resulting daily HDF granule contains 24 hours of data along the satellite track covering the globe. CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The CERES instrument, Flight Models 3 (FM3), was launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales). CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. CloudSat was selected as a NASA Earth System Science Pathfinder satellite mission in 1999 to provide observations necessary to advance our understanding of cloud abundance, distribution, structure, and radiative properties. It also launched on April 28, 2006.
AIRS-CloudSat cloud mask and radar reflectivities collocation indexes V4.0 (AIRS_CPR_IND) at GES_DISC
Version 4.1 is the current version of the data set. Previous versions are no longer available and have been superseded by Version 4.1.This is AIRS-AMSU-CloudSat collocation indexes, in netCDF-4 format. These data map CloudSat profile indexes to the collocated AMSU field of views, and AIRS IR footprints, per AIRS 6-min granule time. Hence it can be considered as Level 1. These data are created within the frames of the MEaSUREs project.The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records.The short name for this collection is AIRS_CPR_IND
CERES A-Train Integrated CALIPSO, CloudSat, CERES, and MODIS (CCCM) Merged Release B1
CER-NEWS_CCCM_Aqua-FM3-MODIS-CAL-CS_RelB1 is the Clouds and the Earth's Radiant Energy System (CERES) NASA Energy and Water cycle Study (NEWS) A-Train Integrated Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), loudSat Cloudsat, CERES, and Moderate-Resolution Imaging Spectroradiometer (MODIS) (CCCM) Merged Release B1 data product. Data was collected using the CALIOP on CALIPSO and CERES Flight Model 3 (FM3), CERES Scanner, MODIS, and Cloudsat on Aqua. Data collection for this product is complete. The CER-NEWS_CCCM_Aqua-FM3-MODIS-CAL-CS_RelB1 contains the current CERES CCCM data. The CALIPSO-CloudSat-CERES-MODIS (CCCM) data set integrates measurements from the CALIPSO CALIOP instrument, CloudSat Cloud Profiling Radar (CPR), CERES, and the MODIS data. The cloud and aerosol properties from CALIOP and cloud properties from the CPR are matched to a MODIS pixel and then an Aqua CERES footprint. The product contains only the CERES footprint in each scan with the highest CALIPSO and CloudSat ground track coverage. The product consists of all cloud and aerosol properties derived from MODIS radiances included in the Single Scanner Footprint (SSF) product and computed irradiances included in the Cloud Radiative Swath (CRS) product. Two sets of SSF variables are included in the CCCM data. One set covers the entire CERES footprint, and the other set is only over the CALIOP and CPR ground track. CERES-derived top-of-atmosphere (TOA) shortwave (SW), longwave (LW), and window (WN) irradiances by angular distribution models are also included. In addition, irradiance profiles computed by a radiative transfer model using MODIS, CALIOP, and CPR-derived aerosol, clouds, and surface properties are included in the product. Furthermore, MODIS-derived cloud properties from the algorithm incorporating CALIOP and CPR cloud information are included. MODIS-derived cloud properties and TOA irradiances derived from CERES radiances are produced by the same algorithm that produces CERES SSF and CRS products. However, the CCCM product should not be considered a climate data record since various input data product versions and algorithm modifications will occur during the measurement period. The scan and packet numbers unique to the CERES footprint provide the means to match the data to other CERES products, although the CCCM product contains more near-nadir CERES footprints compared with SSF and CRS products. The resulting HDF granule contains 24 hours of data.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC
This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records.The short name for this collection is AIRS_CPR_MATParameters contained in the data files include the following:Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m)End of parameter information
MODIS/Aqua Calibrated Radiances 1km 5-Min 1B Narrow Swath Subset along CloudSat V002 (MAC021S0) 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, MAC021S0 cross-track width is 11 pixels for radiances. Geolocations in the original product, however, are subsampled at 5-km, and thus the cross-track width of the subset geolocations is 3 pixels. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the MODIS Level 1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of electromagentic 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 the solar reflective bands (1-19, 26) 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. Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously. (The shortname for this product is MAC021S0).
OMI/Aura Level 2 Near UV Aerosol Optical Depth and Single Scattering Albedo 200-m swath subset along CloudSat track V003 (OMAERUV_CPR) at GES DISC
This is a CloudSat-collocated subset of the original OMI product OMAERUV, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated OMI Level 2 near-UV aerosol subset is OMAERUV_CPR_003)
MODIS/Aqua Calibrated Radiances 250m 5-Min L1B Wide Swath Subset along CloudSat V002 (MAC02QS1) 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 about 200 km cross-track. Thus, MAC02QS1 cross-track width is 804 pixels for radiances. Geolocations, however, are 1-km at best, and thus the cross-track width for geolocations is 201 pixels. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the 250 meter MODIS Level 1B 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 (The shortname for this product is MAC02QS1).
MODIS/Aqua Temp and Water Vapor Profiles 5km 5-Min L2 Narrow Swath Subset along CloudSat V002 (MAC07S0) 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 MYD07_L2 has data of 5-km pixels. Thus, MAC07S0 cross-track width is 3-pixels, and the resultant swath is about 15-km, correspondingly. Along-track, all MODIS pixels from the original product are preserved. In the standard product, the level-2 MODIS Temperature and Water Vapor Profile Product MYD07_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 shortname for this product is MAC07S0).
POLDER/Parasol L2 Radiation Budget subset along CloudSat track V001 (PARASOLRB_CPR) at GES DISC
This is the POLDER/Parasol Level-2 Radiation Budget Subset, collocated with the CloudSat track. The subset is processed at the A-Train Data Depot of the GES DISC, NASA. The algorithm first converts the original POLDER binary data, which is Level-2 but nevertheless in a sinusoidal grid, into HDF4 format, and thus stores the full-sized data in HDF4. Then, it calculates the CloudSat ground track coordinates, and proceeds to extract the closest POLDER grid cells. Along with the extraction, the algorithm re-orders the subset grid cells in a line-by-line fashion, so that the output subset is in array format and resembles a swath. This array has a cross-track dimension of 11 columns. That makes about 200-km-wide coverage. All original parameters are preserved in the subset. As it is collocated with CloudSat, the subset is automatically collocated with CALIPSO as well.
MODIS/Aqua CLD Mask Spect. Results 250m and 1km 5-Min L2 Wide Swath Subset along CloudSat V002 (MAC35S1) 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. Geolocations in the original product, however, are subsampled at 5-km, and thus the crosss-track width of the subset geolocations is 41 pixels. The subset Cloud Mask has 201 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 804 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 MAC35S1).
OMI/Aura Level 2 Nitrogen Dioxide (NO2) Trace Gas Column Data 1-Orbit subset Swath along CloudSat track 1-Orbit Swath 13x24 km
This is a CloudSat-collocated subset of the original product OMNO2, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications. (The shortname for this CloudSat-collocated OMI Level 2 NO2 subset is OMNO2_CPR_V003)
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.