NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Improved Planetary Boundary Layer Sounding Using Hyperspectral Microwave and Backscatter Lidar Data FusionThis study presents a first-of-its-kind comprehensive data-fusion approach combining hyperspectral microwave (HMW) with backscatter lidar (BSL) measurements for improved atmospheric thermodynamic sounding, with particular emphasis on the Earth’s planetary boundary layer (PBL). This is a simulation-based trade study to demonstrate the enhancement of HMW over traditional microwave (MW) only measurements and the additional benefits of incorporating BSL with both approaches. This pioneering HMW+BSL-fusion methodology represents a major advancement, achieving superior performance compared to traditional thermodynamic remote sensing approaches. Specifically, this configuration demonstrates significant enhancement in PBL temperature bias vertical stability and reduces standard deviation error (SDV) by 30% compared to traditional MW-only performance. Water vapor retrievals show similar improvements, with SDV reductions of 50% in the PBL and bias values consistently maintained below the 10% requirement threshold of the PBL Decadal Survey Incubation (DSI) Program, compared to program of record (PoR) errors exceeding 30% bias in challenging cloudy regimes. Case studies across diverse oceanic regions reveal particular advantages of this data-fusion approach in complex atmospheric conditions, especially in regions dominated by marine stratocumulus clouds and strong temperature inversions, where conventional passive-only retrievals are challenging. Beyond thermodynamic profile improvements, our analysis demonstrates remarkable advances in the detection of PBL height (PBLH), with the HMW+BSL configuration achieving mean absolute errors (MAEs) within the 100-m requirement threshold of the PBL DSI program, representing a step-change improvement over passive-only approaches. This work directly addresses observational gaps identified in the 2017 Earth Science Decadal Survey, positioning our integrated sensing approach as both a near-term enhancement to existing Earth observation capabilities and a pathfinder for future PBL mission architectures.
Document ID
20250010264
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Antonia Gambacorta ORCID
(Goddard Space Flight Center Greenbelt, United States)
Alexander Kotsakis ORCID
(University of Maryland, College Park College Park, United States)
Dave Gershman
(Goddard Space Flight Center Greenbelt, United States)
Narges Shahroudi
(University of Maryland, College Park College Park, United States)
Robert Rosenberg
(University of Maryland, College Park College Park, United States)
John Blaisdell
(University of Maryland, College Park College Park, United States)
Edward Nowottnick ORCID
(Goddard Space Flight Center Greenbelt, United States)
Kenneth Christian ORCID
(Oak Ridge Associated Universities Oak Ridge, United States)
Jordan A Caraballo-Vega ORCID
(Goddard Space Flight Center Greenbelt, United States)
James MacKinnon
(Voyager Technologies)
Patrick Stegmann
(National Oceanic and Atmospheric Administration Washington, United States)
Stephen D Nicholls ORCID
(Science Systems and Applications (United States) Lanham, United States)
Joseph Santanello ORCID
(Goddard Space Flight Center Greenbelt, United States)
William G Blumberg
(Millersville University Millersville, United States)
Date Acquired
November 12, 2025
Publication Date
November 10, 2025
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Publisher: Institute of Electrical and Electronics Engineers
Volume: 63
Issue Publication Date: January 1, 2025
ISSN: 0196-2892
e-ISSN: 1558-0644
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNH21ZDA001N-DSI
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
Planetary Boundary Layer
Data Fusion
Hyperspectral Microwave Sounding
No Preview Available