Passive Microwave Imagers, Their Applications, and Benefits: A Review

Rouzegari, Nazak; Bolboli Zadeh, Mohammad; Jimenez Arellano, Claudia; Afzali Gorooh, Vesta; Nguyen, Phu; Meng, Huan; Ferraro, Ralph R.; Kalluri, Satya; Sorooshian, Soroosh; Hsu, Kuolin

doi:10.3390/rs17091654

i

Passive Microwave Imagers, Their Applications, and Benefits: A Review

2025
By Rouzegari, Nazak ; Bolboli Zadeh, Mohammad ; Jimenez Arellano, Claudia ; ...

Details

Journal Title:

Remote Sensing
Personal Author:

Rouzegari, Nazak ; Bolboli Zadeh, Mohammad ; Jimenez Arellano, Claudia ; Afzali Gorooh, Vesta ; Nguyen, Phu ; Meng, Huan ; Ferraro, Ralph R. ; Kalluri, Satya ; Sorooshian, Soroosh ; Hsu, Kuolin
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies)
Description:

Passive Microwave Imagers (PMWIs) aboard meteorological satellites have been instrumental in advancing the understanding of Earth’s atmospheric and surface processes, providing invaluable data for weather forecasting, climate monitoring, and environmental research. This review examines the relevance, applications, and benefits of PMWI data, focusing on their practical use and benefits to society rather than the specific techniques or algorithms involved in data processing. Specifically, it assesses the impact of PMWI data on Tropical Cyclone (TC) intensity and structure, global precipitation and extreme events, flood prediction, the effectiveness of tropical storm and hurricane watches, fire severity and carbon emissions, weather forecasting, and drought mitigation. Additionally, it highlights the importance of PMWIs in hydrometeorological and real-time applications, emphasizing their current usage and potential for improvement. Key recommendations from users include expanding satellite networks for more frequent global coverage, reducing data latency, and enhancing resolution to improve forecasting accuracy. Despite the notable benefits, challenges remain, such as a lack of direct research linking PMWI data to broader societal outcomes, the time-intensive process of correlating PMWI use with measurable societal impacts, and the indirect links between PMWI and improved weather forecasting and disaster management. This study provides insights into the effectiveness and limitations of PMWI data, stressing the importance of continued research and development to maximize their contribution to disaster preparedness, climate resilience, and global weather forecasting.
Source:

Remote Sensing, 17(9), 1654
DOI:

https://doi.org/10.3390/rs17091654
ISSN:

2072-4292
Format:

pdf
Publisher:

MDPI AG
Document Type:

Journal Article
Funding:

Grant no. NA19NES4320002 ; Grant no. NA24NESX432C0001
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:b202e3ed18854be945b56d34982fe6cc501dc4d9126e316204f9f876e646d69a80bfc1aee6b790945babab629babf826c2f89ed91078ecd5cdf3a47482144fbb
Download URL:

https://repository.library.noaa.gov/view/noaa/72098/noaa_72098_DS1.pdf
File Type:

[PDF - 4.95 MB ]

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