Using Synthetic Cyclone Models for High Wind GNSS-R Calibration, Validation, and Algorithm Development: A CYGNSS Case Study

Al-Khaldi, Mohammad M.; Gleason, Scott; Johnson, Joel T.; Balasubramaniam, Rajeswari; Ruf, Christopher S.; McKague, Darren S.; Annane, Bachir; Wang, Tianlin; Russel, Anthony; Twigg, Dorina

doi:10.1109/TGRS.2023.3294870

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Using Synthetic Cyclone Models for High Wind GNSS-R Calibration, Validation, and Algorithm Development: A CYGNSS Case Study

2023
By Al-Khaldi, Mohammad M. ; Gleason, Scott ; Johnson, Joel T. ; ...
Source: IEEE Transactions on Geoscience and Remote Sensing, 61, 1-11

[PDF-8.56 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

Details You May Also Like

Details:

Journal Title:

IEEE Transactions on Geoscience and Remote Sensing
Personal Author:

Al-Khaldi, Mohammad M. ; Gleason, Scott ; Johnson, Joel T. ; Balasubramaniam, Rajeswari ; Ruf, Christopher S. ; ... More +

Al-Khaldi, Mohammad M. ; Gleason, Scott ; Johnson, Joel T. ; Balasubramaniam, Rajeswari ; Ruf, Christopher S. ; McKague, Darren S. ; Annane, Bachir ; Wang, Tianlin ; Russel, Anthony ; Twigg, Dorina Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) ; CIMAS (Cooperative Institute for Marine and Atmospheric Studies)

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) ; CIMAS (Cooperative Institute for Marine and Atmospheric Studies) Less -
Description:

This work reports a case study of the use of synthetic cyclone models for the development, assessment and validation of global navigation satellite system reflectometry (GNSS-R) wind speed remote sensing algorithms using a cyclone global navigation satellite system (CYGNSS) data record extending from 1 August 2018 to 31 December 2022. Synthetic cyclone models are shown to be useful in assessing the high wind speed sensitivity of CYGNSS’s v1.0, v2.1, v3.0, v3.1, and future v3.2 normalized bistatic radar cross Section (NBRCS) products due to the extended matchup dataset of high wind speed information that is obtained. The models are also shown useful in investigating the impacts of specific error corrections terms and in the development of level-2 geophysical model functions (GMFs) for the retrieval of ocean surface winds.
Keywords:

[+]

Electrical And Electronic Engineering General Earth And Planetary Sciences
Source:

IEEE Transactions on Geoscience and Remote Sensing, 61, 1-11
DOI:

https://doi.org/10.1109/TGRS.2023.3294870
ISSN:

0196-2892;1558-0644;
Format:

PDF
Publisher:

Institute of Electrical and Electronics Engineers (IEEE)
Document Type:

Journal Article
Rights Information:

Accepted Manuscript
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:4604ab4abefb1d71c5ae4e0f5d6520a7bedccc36801647f118e6b5b05ff040ea
Download URL:

https://repository.library.noaa.gov/view/noaa/55850/noaa_55850_DS1.pdf
File Type:

No Additional Files

More +

Using Synthetic Cyclone Models for High Wind GNSS-R Calibration, Validation, and Algorithm Development: A CYGNSS Case Study

Details:

Supporting Files

You May Also Like