CYGNSS Level 3 Ocean Microplastic Concentration Version 3.2

(CYGNSS_L3_MICROPLASTIC_V3.2)
Version3.2
Processing Level3
Start/Stop Date2018-Aug-01 to Present
Short NameCYGNSS_L3_MICROPLASTIC_V3.2
DescriptionThe CYGNSS L3 Ocean Microplastic Concentration V3.2 dataset is provided by the CYGNSS Science Team of the University of Michigan. CYGNSS was launched on 15 December 2016, it is a NASA Earth System Science Pathfinder Mission that was launched with the purpose of collecting the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Originally made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35° from the equator, with a mean (i.e., average) revisit time of seven hours and a median revisit time of three hours.

This dataset contains the version 3.2 CYGNSS Level 3 ocean microplastic concentration data record, which provides daily netCDF files, each file containing a gridded map of microplastic number density (#/km^2). Microplastic concentration number density is indirectly estimated by an empirical relationship between ocean surface roughness and wind speed (Evans and Ruf, 2021). User caution is advised in regions containing independent, non-correlative factors affecting ocean surface roughness, such as anomalous atmospheric conditions within the Intertropical Convergence Zone, biogenic surfactants (such as algal blooms), oil spills, etc. This product reports microplastic concentration on a daily temporal and 0.25-degree latitude/longitude spatial grid with 30-day, 1 degree latitude/longitude feature resolution, as constrained by the binning and spatial temporal averaging of the Mean Square Slope (MSS) anomaly (i.e., difference between measured and predicted ocean surface roughness for a given wind speed). Version 3.2 uses CYGNSS MSS measurements that are derived from updated v3.2 Level 1 scattering cross section data and has updated the parameterizations in the data processing algorithm to use v3.2 data correctly.
DOI10.5067/CYGNS-L3P32
MeasurementOCEANS > WATER QUALITY > SEA SURFACE CONTAMINANTS
Platform/Sensor
CYGNSS
Platform
Name: Cyclone Global Navigation Satellite System (CYGNSS)
Orbit Period: 94.0 minutes
Inclination Angle: 35.0 degrees
/
DDMI
SENSOR
Name: Delay Doppler Mapping Instrument (DDMI)
Swath Width: 25.0 kilometers
Description: Spacecraft angular distance from orbital plane relative to the Equator.

ProjectCyclone Global Navigation Satellite System (CYGNSS)
Data ProviderPublisher: PO.DAAC
Creator: CYGNSS
Release Place: PO.DAAC
Release Date: 2024-Jun-28
Resource: https://cygnss.engin.umich.edu/

FormatnetCDF-4
Keyword(s)cygnss, ddm, ddmi, doppler, delay doppler, delay, specular point, wind, winds, wind speed, microplastic, sea surface contaminants, water quality, version 3.2, v3.2
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 0.25 Decimal Degrees x 0.25 Decimal Degrees
Temporal Resolution: Daily - < Weekly
 
Coverage
Region: GLOBAL
Region: TROPICS
North Bounding Coordinate: 37.4 degrees
South Bounding Coordinate: -37.4 degrees
West Bounding Coordinate: -180 degrees
East Bounding Coordinate: 180 degrees
Time Span: 2018-Aug-01 to Present
Granule Time Span: 2017-Mar-18 to 2025-Dec-29
 
Projection
Projection Type: Cylindrical Lat Lon
Projection Detail: Geolocation information included for each pixel
Ellipsoid: WGS 84
 
Capabilities
DIRECT ACCESS
Browse Granule Listing
OPENDAP DATA
Search Granules
This dataset can be downloaded using the podaac-data-subscriber (the recommended tool for bulk downloading PO.DAAC data). It is a Python package for downloading one or many files using the command line interface. The URL redirects to the data-subscriber home page with instructions for utilizing the tool
DIRECT S3-ACCESS
Available for access in-region with AWS Cloud
Region
us-west-2
podaac-ops-cumulus-protected/CYGNSS_L3_MICROPLASTIC_V3.2/
podaac-ops-cumulus-public/CYGNSS_L3_MICROPLASTIC_V3.2/
AWS S3 Credentials
Get AWS S3 Credentials | Documentation
NameLong NameUnit
latlatitudedegrees_north
lonlongitudedegrees_east
mp_concentrationMicroplastic Concentrationcount km-2
num_mp_samplesNumber of microplastic concentration samples within spatiotemporal bin1
stddev_mp_samplesGeometric standard deviation of microplastic concentration samples within spatiotemporal bin1
timetimedays since 1970-01-01 00:00:00 UTC
DATA CITATION GUIDELINES
PUBLICATIONS
  • http://doi.org/10.1109/TGRS.2021.3081691
    Evans M. C., and Ruf C. S., (2021). Toward the Detection and Imaging of Ocean Microplastics with a Spaceborne Radar. IEEE Transactions on Geoscience and Remote Sensing
DATA RECIPE
GENERAL DOCUMENTATION
ALGORITHM DOCUMENTATION
DATA PRODUCT SPECIFICATION
READ-ME
USER'S GUIDE
Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
Citation CYGNSS. 2024. CYGNSS Level 3 Microplastic Concentration Retrievals Version 3.2. Ver. 3.2. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNS-L3P32

Download Citation
RIS BIB XML JSON-LD

For more information see Data Citations and Acknowledgments.

Journal Reference Evans M. C., and Ruf C. S.. 2021. Toward the Detection and Imaging of Ocean Microplastics with a Spaceborne Radar, IEEE Transactions on Geoscience and Remote Sensing. https://doi.org//10.1109/TGRS.2021.3081691