Construction of Temperature Climate Data Records in the Upper Troposphere and Lower Stratosphere Using Multiple RO Missions From September 2006 to July 2023 at NESDIS/STAR

Zhou, Jun; Ho, Shu‐Peng; Zhou, Xinjia; Shao, Xi; Gu, Guojun; Chen, Yong; Liu, Tung‐Chang; Jing, Xin

doi:10.1029/2024JD041295

i

Construction of Temperature Climate Data Records in the Upper Troposphere and Lower Stratosphere Using Multiple RO Missions From September 2006 to July 2023 at NESDIS/STAR

2025
By Zhou, Jun ; Ho, Shu‐Peng ; Zhou, Xinjia ; ...

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Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Zhou, Jun ; Ho, Shu‐Peng ; Zhou, Xinjia ; Shao, Xi ; Gu, Guojun ; Chen, Yong ; Liu, Tung‐Chang ; Jing, Xin
NOAA Program & Office:

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

We develop a new monthly zonal mean climatology (MMC) in the upper troposphere and lower stratosphere from September 2006 to July 2023 using the dry temperature profiles from multiple global navigation satellite system (GNSS) radio occultation (RO) missions processed by the GNSS RO Science and Data Center (SDC) at the NOAA Center for Satellite Applications and Research (STAR). The multiple RO missions include Formosa Satellite Mission 3/Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC‐1), SPIRE, and Meteorological Operational satellite (MetOp)‐A, ‐B, ‐C. We compare collocated profiles from multiple STAR‐processed RO missions to ensure the consistency of the data used in the construction of STAR MMC. Because the Constellation Observing System for Meteorology, Ionosphere, and Climate‐2 (COSMIC‐2) contains a noticeable temperature difference compared with other RO missions, we decided not to include it. We validate the robustness of the sampling error correction method through three reanalyses: ERA‐5, MERRA‐2, and JRA‐55. The result shows the uncertainty caused by using different reanalyses is negligible. This STAR MMC is then compared with the ROM SAF MMC and the MMC derived from these three reanalyses, exhibiting general consistency. Various climate signals, including quasi‐biennial oscillation (QBO) and El Niño–Southern Oscillation (ENSO), can be identified from STAR MMC. The global temperature trends from STAR MMC show a prominent warming of 0.310 ± 0.128 K/Decade in the upper troposphere and a robust cooling of −0.295 ± 0.145 K/Decade in the mid‐stratosphere. These results demonstrate that STAR MMC can capture climate signals and monitor long‐term climate change.
Source:

Journal of Geophysical Research: Atmospheres, 130(11)
DOI:

https://doi.org/10.1029/2024JD041295
ISSN:

2169-897X ; 2169-8996
Format:

pdf
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Funding:

Grant no. NA19NES4320002 ; Grant no. NA24NESX432C0001
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:5856d912c3e8f0bb0cae000ef1ab409470fb422e435aeca4cbef2fa94a8ddc3838bc477f10e15ec046acfc9188d4e7b1b21be41820afb1cb4a76b3fe03e98f73
Download URL:

https://repository.library.noaa.gov/view/noaa/72108/noaa_72108_DS1.pdf
File Type:

[PDF - 5.81 MB ]

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