UC Berkeley CYGNSS Level 3 Daily RWAWC Watermask Version 3.2

(CYGNSS_L3_UC_BERKELEY_WATERMASK_DAILY_V3.2)
Version3.2
Processing Level3
Start/Stop Date2018-Aug-01 to Present
Short NameCYGNSS_L3_UC_BERKELEY_WATERMASK_DAILY_V3.2
DescriptionThe CYGNSS Level 3 UC Berkeley Watermask Record Version 3.2 was developed by CYGNSS investigators in the Department of Civil and Environmental Engineering at the University of California, Berkeley. 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 Originally made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35°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 is derived from version 3.2 of the CYGNSS L1 SDR dataset (https://doi.org/10.5067/CYGNS-L1X32). This is an update from the previous watermask monthly product (https://doi.org/10.5067/CYGNS-L3W31) which derived from the CYGNSS L1 SDR v3.1 (https://doi.org/10.5067/CYGNS-L1X31). The new product provides daily binary inland surface water classification data at a 0.01-degree (~1x1 kilometer) resolution with an approximate 6-day latency. The algorithm utilized data from up to 30 days prior to generate the daily map. This product, known as the UC Berkeley Random Walk Algorithm WaterMask from CYGNSS (Berkeley-RWAWC), generates water classification for a given location based on CYGNSS observations combined with a random walker algorithm. The watermask variable includes binary values indicating land (0), surface water (1), and no data/ocean (-99). The data product is archived in daily files in netCDF-4 format and covers the period from September 2018 to present.

This product is recommended for operational use. For science applications, we recommend the use of the Berkeley-RWAWC monthly product instead: https://podaac.jpl.nasa.gov/dataset/CYGNSS_L3_UC_BERKELEY_WATERMASK_V3.1 Note that the daily product consist of maps constructed using the most recent 31 days of data to rapidly capture surface water dynamics without relying on historical data. While the oldest data within this 31 day-period is weighted less and replaced by newer observations as they become available, extreme flood events may still be detected with a delay due to the incorporation of prior days’ data into the algorithm. The incorporation of older data is necessary to maintain the spatial scale.
DOI10.5067/CYGNS-3WD32
MeasurementTERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS
Swath Width25 km
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-Aug-30
Resource: https://cygnss.engin.umich.edu/

FormatNETCDF
Keyword(s)cygnss, Level 3, l3, doppler, delay doppler, delay, specular point, radar, watermask, berkeley, UC Berkeley Watermask, 3.2, v3.2, daily
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution
Spatial Resolution: 1000 Meters x 1000 Meters
Temporal Resolution: Hourly - < Daily
 
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-Feb-19 to 2026-Jan-17
Swath Width: 25 km
 
Projection
Projection Type: Satellite native along-track
Projection Detail: Geolocation information included for each pixel
Ellipsoid: WGS 84
 
Capabilities
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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
Bucket/Object Prefix: Protected buckets contain the data files for a given collection. Protected simply means users must log in to Earthdata Login before gaining access to contents within that S3 Bucket. Please use the S3Credential endpoint to gain an Earthdata login token for use in S3 Access.

Public buckets, in contrast, house metadata such as checksums, imagery, and metadata files and the like. A user can access public buckets and these types of files without logging in to Earthdata Login.

Most of the time, you'll want to access the protected bucket Information
podaac-ops-cumulus-protected/CYGNSS_L3_UC_BERKELEY_WATERMASK_DAILY_V3.2/
podaac-ops-cumulus-public/CYGNSS_L3_UC_BERKELEY_WATERMASK_DAILY_V3.2/
AWS S3 Credentials
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NameLong NameUnit
latLatitudedegrees_north
lonLongitudedegrees_east
timeTime Centering of Data Based on Epoch Referencedays since 2018-08-01 00:30:00.000000000
watermaskWatermask1
DATA CITATION GUIDELINES
GENERAL DOCUMENTATION
PUBLICATIONS
  • https://journals.ametsoc.org/doi/10.1175/BAMS-D-14-00218.1
    Ruf, C., R. Atlas, P. Chang, M. Clarizia, J. Garrison, S. Gleason, S. Katzberg, Z. Jelenak, J. Johnson, S. Majumdar, A. O'Brien, D. Posselt, A. Ridley, R. Rose, V. Zavorotny (2015). New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-14-00218.1.
  • https://doi.org/10.1109/TGRS.2015.2502245
    Gleason, S., C. Ruf, M. P. Clarizia, A. O'Brien, 'Calibration and Unwrapping of the Normalized Scattering Cross Section for the Cyclone Global Navigation Satellite System (CYGNSS)', IEEE Trans. Geosci. Remote Sens., doi:10.1109/TGRS.2015.2502245, 2016.
  • https://doi.org/10.1029/2019GL085134
    Cynthia Gerlein-Safdi, Christopher S. Ruf, A CYGNSS-Based Algorithm for the Detection of Inland Waterbodies, Geophysical Research Letters, Volume 46, Issue21, 16 November 2019 Pages 12065-12072
  • https://doi.org/10.1029/2020GB006890
    Cynthia Gerlein-Safdi, A. Anthony Bloom, Genevieve Plant, Eric A. Kort, Christopher S. Ruf, Improving Representation of Tropical Wetland Methane Emissions With CYGNSS Inundation Maps, Journal of Geophysical Research: Biogeosciences, Volume 35, Issue 12, December 2021 e2020GB006890
  • https://doi.org/10.1029/2024WR037060
    Pu, T., Gerlein‐Safdi, C., Xiong, Y., Li,M., Kort, E. A., & Bloom, A. A. (2024). Berkeley-RWAWC: A New CYGNSS-Based Watermask Unveils Unique Observations of Seasonal Dynamics in the Tropics. Water Resources Research, 60, 6, e2024WR037060
ANOMALIES
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. UC Berkeley CYGNSS Level 3 Daily RWAWC Watermask Version 3.2. Ver. 3.2. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/CYGNS-3WD32

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For more information see Data Citations and Acknowledgments.
Journal Reference Pu, T., Gerlein‐Safdi, C., Xiong, Y., Li,M., Kort, E. A., & Bloom, A. A. 2024. Berkeley-RWAWC: A New CYGNSS-Based Watermask Unveils Unique Observations of Seasonal Dynamics in the Tropics, Water Resources Research, 60, 7. 10.1029/2024WR037060