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    • HURRICANE AND SEVERE STORM SENTINEL (HS3) HIGH-ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) V1

    Metadata Updated: December 6, 2023

    The Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain dataset was collected from the High-altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ku- and Ka-band, or approximately 14 and 35 GHz), dual-beam (30 degree and 40 degree incidence angle), conically scanning radar that has been designed for the Global Hawk aircraft during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. HIWRAP uses solid state transmitters along with a novel pulse compression scheme that results in a system that is considerably more compact and requires less power than typical radars used for precipitation and wind measurements. By conically scanning at 10-20 rpm, its beams sweeped below the Global Hawk collecting Doppler velocity/reflectivity profiles. The unique HIWRAP sampling and phase correction strategy implemented (frequency diversity Doppler processing technique). HIWRAP's dual-wavelength operation enables it to map full tropospheric winds from cloud and precipitation volume backscatter measurements, derive information about precipitation drop-size distributions, and estimate the ocean surface winds using scatterometry techniques. Winds will be retrieved using a gridding approach similar to well-established ground-based multi-Doppler radar wind analyses. More information can be found at http://har.gsfc.nasa.gov/index.php?section

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date December 1, 2022
    Metadata Updated Date December 6, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Browse images illustrate the nature and coverage of the data

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 1, 2022
    Metadata Updated Date December 6, 2023
    Publisher NASA/MSFC/GHRC
    Maintainer
    Identifier C1979869732-GHRC_DAAC
    Data First Published 2015-10-27
    Language en-US
    Data Last Modified 2022-04-28
    Category HS3, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation Heymsfield, Gerald M and Lin Tian.2015. HURRICANE AND SEVERE STORM SENTINEL (HS3) HIGH-ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) indicate subset used. Dataset available online from the NASA Global Hydrometeorology Resource Center DAAC, Huntsville, Alabama, U.S.A. DOI: http://dx.doi.org/10.5067/HS3/HIWRAP/DATA101
    Graphic Preview Description Browse images illustrate the nature and coverage of the data
    Graphic Preview File https://ghrc.nsstc.nasa.gov/pub/fieldCampaigns/hs3/HIWRAP/browse/
    Harvest Object Id bc53bb8b-bbdb-48e6-900a-7b1d166c5a5b
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/HS3/HIWRAP/DATA101
    Metadata Type geospatial
    Old Spatial -96.6094 21.0197 -65.0064 31.613
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 08bc17c5015b466882732b19a3d9a6da3b5315181a0164652fa24714f30267e8
    Source Schema Version 1.1
    Spatial
    Temporal 2013-09-15T18:34:46Z/2014-10-17T14:58:31Z

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