Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications-Reference-Cited by-同舟云学术

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Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:OCEANS 2022, Hampton Roads
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Author:

Chung Nga¹,Cram Thomas²,Smith Shawn R.³,Tsontos Vardis M.¹,Huang Thomas¹,Sparling Kimberly⁴,Perez Stepheny¹,Phyo Wai¹,Ji Zaihua²,Kuttruff Riley¹

Affiliation:

1. NASA Jet Propulsion Laboratory, California Institute of Technology,Pasadena,CA,USA

2. National Center for Atmospheric Research,Boulder,CO,USA

3. Florida State University,Center for Ocean-Atmospheric Prediction Studies,Tallahassee,FL,USA

4. Saildrone,Alameda,CA,USA

Funder

Jet Propulsion Laboratory

California Institute of Technology

National Aeronautics and Space Administration

Florida State University

National Center for Atmospheric Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9976950/9976951/09977163.pdf?arnumber=9977163

Reference22 articles.

1. The ESA FELYX High Resolution Diagnostic Data Set System Design and Implementation

2. Community Intercomparison Suite (CIS) v1.4.0: a tool for intercomparing models and observations

3. Architecture for Distributed Earth Science Data Analysis;huang;CEOS 2018 SIT Technical Workshop,2018

4. Task 51 - Cloud-Optimized Format Study EED2-Tp-125, Revision 01 Technical Paper January 2020;durbin,2020

5. Shipboard automated meteorological and oceanographic system data archive: 2005–2017

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2. COVERAGE Data Viewer: A Generalized Web-Based Tool for Integrated Visualization of Oceanographic Satellite and In-Situ Data;OCEANS 2023 - MTS/IEEE U.S. Gulf Coast;2023-09-25

3. Efficient collocation of global navigation satellite system radio occultation soundings with passive nadir microwave soundings;Atmospheric Measurement Techniques;2023-07-04

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