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31
datasets available to search
ShareScore release 0.9.0
Dataset results
31 results for “Passive Microwave”
GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PASSIVE MICROWAVE RADIOMETER AND SOIL MOISTURE-TEMPERATURE DATA GCPEX
The GPM Ground Validation Environment Canada (EC) Passive Microwave Radiometer and Soil Moisture-Temperature Data GCPEx dataset is consisted of data during the GPM Cold-season Precipitation Experiment (GCPEx) at the Centre for Atmospheric Research Experiments (CARE) site in Ontario, Canada during the winter season 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data collected includes microwave brightness temperatures, snow and soil/snow-air interface (ground surface temperatures), soil surface temperatures, and soil volumetric water content. These data were acquired by multiple instruments: a passive microwave radiometer, a water content reflectometer, thermistors, soil moisture probe.
NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 5
This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. The CDR algorithm output is a rule-based combination of ice concentration estimates from two well-established algorithms: the NASA Team (NT) algorithm (Cavalieri et al. 1984) and NASA Bootstrap (BT) algorithm (Comiso 1986). The CDR is a consistent, daily and monthly time series of sea ice concentrations from 25 October 1978 through the most recent processing for both the north and south polar regions. All data are on a 25 km x 25 km grid.Note: A near-real-time version of this data set also exists to fill the gap between the time that this data set is updated through to the present. The data set is called the Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (https://nsidc.org/data/g10016).
Passive Microwave Hail Climatology Data Products V1
The Passive Microwave Hail Climatology Data Products are gridded estimates of the annual frequency of severe hailstorm occurrence, as retrieved from satellite-borne passive microwave imagery. These data products can be useful for weather and climatological research related to storms, as well as applications involving risk management and emergency management. The dataset files are available in netCDF-3 format, as well as hail climatology maps in PNG format, from January 1, 1998, through March 31, 2023.
Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 3
This data set provides a near-real-time Climate Data Record (CDR) of sea ice concentration from passive microwave data. The Near-real-time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (NRT CDR) data set is the near-real-time version of the final NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (G02202). The NRT CDR is designed to fill the temporal gap between updates of the final CDR, occurring every three to six months, and to provide the most recent data.
ABoVE: Passive Microwave-derived Annual Snowoff Date Maps, 1988-2018
This dataset provides annual maps of the snowoff (SO) date from 1988-2018 across Alaska and parts of Far East Russia and northwest Canada at a resolution of 6.25 km. SO date is defined as the last day of persistent snow and was derived from the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR) product. The spatial domain was intended to match MODIS Alaska Snow Metrics and extend its temporal fidelity beyond the MODIS era. SO date estimates were compared to snow depth measurements collected at SNOTEL stations across Alaska and to three SO datasets derived from MODIS, Landsat, and the Interactive Multisensor Snow and Ice Mapping System (IMS). The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies.
ABoVE: Passive Microwave-derived Annual Snowpack Main Melt Onset Date Maps, 1988-2018
This dataset provides the annual date of snowpack seasonal beginning melt (i.e., main melt onset date, MMOD) across northwest Canada; Alaska, U.S.; and parts of far eastern Russia at 6.25 km resolution for the period 1988-2018. MMOD was derived from the daily 19V (K-band) and 37V (Ka-band) GHz bands from the Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR). The PMW MMOD dataset was validated using the transition date from Freeze Degree Days (FDD) to Thaw Degree Days (TDD) from in situ air temperature observations from 31 SNOw TELemetry network (SNOTEL) observations, and compared to the established Freeze-Thaw ESDR (FT-ESDR) spring onset date. The resulting MMOD data record is suitable for documenting the spatial-temporal impacts of MMOD variability in ecosystem services, wildlife movements, and hydrologic processes across the ABoVE domain. The data from 1988-2016 included a coastal mask removing coastal pixels due to potential water contamination from coarse brightness temperature observations (Dersken et al., 2012). There is not a coastal mask for the 2017-2018 data. The full data are included, and data users should be aware that coastal values can be adversely affected by adjacent water bodies.
MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR V001
This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, is an improved, enhanced-resolution, gridded passive microwave Earth System Data Record (ESDR) for monitoring cryospheric and hydrologic time series from SMMR, SSM/I-SSMIS, and AMSR-E. It is derived from the most mature and available Level-2 satellite passive microwave records from 1978 through the present.
GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PASSIVE MICROWAVE RADIOMETER AND SOIL MOISTURE-TEMPERATURE DATA GCPEX V1
The GPM Ground Validation Environment Canada (EC) Passive Microwave Radiometer and Soil Moisture-Temperature Data GCPEx dataset is consisted of data during the GPM Cold-season Precipitation Experiment (GCPEx) at the Centre for Atmospheric Research Experiments (CARE) site in Ontario, Canada during the winter season 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data collected includes microwave brightness temperatures, snow and soil/snow-air interface (ground surface temperatures), soil surface temperatures, and soil volumetric water content. These data were acquired by multiple instruments: a passive microwave radiometer, a water content reflectometer, thermistors, soil moisture probe.
Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data V002
This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km. Data coverage began on 26 October 1978 and is ongoing through the most current processing, with updated data processed several times annually.
Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR V002
The Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 2 data set is a multi-sensor Level 3 Earth Science Data Record (ESDR) with improvements upon Version 1 in cross-sensor calibration and quality checking, modern file formats, better quality control, improved projection grids, and local time-of-day (LTOD) processing. These data are gridded to three EASE-Grid 2.0 projections (North Azimuthal, South Azimuthal, and Cylindrical) and include enhanced-resolution imagery, as well as coarse-resolution, averaged imagery. Inputs include brightness temperature data from the Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), Special Sensor Microwave Imager/Sounder (SSMIS), Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E), and Advanced Microwave Scanning Radiometer 2 (AMSR2).
IB-AGC: Annual 25 km global live biomass carbon product from SMOS L-band passive microwave vegetation optical depth
<p>The IB AGC dataset provides global aboveground biomass carbon (AGC) estimates for 2010-2020, derived from SMOS-IC L-band vegetation optical depth (L-VOD) using improved calibration methods and corrections for vegetation water effects. The accuracy assessments revealed that the IB L-VOD-derived AGC shows a very good spatial and temporal consistency with national forest inventory data and forest disturbance events, when compared to other mainstream satellite products. The dataset is stored in netCDF4 format and projected on the global cylindrical Equal-Area Scalable Earth Grid version 2.0 (EASE-Grid 2.0), with dimensions of 584 by 1388 and a grid resolution of 25 km. It includes eight layers, featuring the AGC density map and its associated uncertainty layer, representing the standard error of calibration. Additionally, a sub-product of total biomass carbon (BC) density is provided, calculated using a ratio method. The associated uncertainty, derived via error propagation, accounts for calibration errors in AGC and the AGC-to-BGC ratio.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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