AUTHOR=Lin Bing , Mclinden Matthew Walker , Cai Xia , Heymsfield Gerald M. , Privé Nikki , Harrah Steven , Li Lihua TITLE=Sea surface barometry with an O2 differential absorption radar: retrieval algorithm development and simulation JOURNAL=Frontiers in Remote Sensing VOLUME=5 YEAR=2024 URL=https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1399839 DOI=10.3389/frsen.2024.1399839 ISSN=2673-6187 ABSTRACT=

Sea surface air pressure observations are a significant gap in the current Earth observing systems. This study addresses retrieval algorithm development and the evaluation of the potential impact of instrumental and environmental uncertainties on sea level pressure retrievals for the measurements of O2 differential absorption radar systems operating at three spectrally evenly spaced close-frequency bands (65.5, 67.75, and 70.0 GHz). A simulated northern hemispheric summer case is used to simulate retrieval uncertainties. To avoid high attenuation and a low signal-to-noise ratio, radar measurements from weather conditions with a rain rate ≥1 mm/h are not used in the retrieval. This study finds that a retrieval algorithm combining all three channels, i.e., the 3-channel approach, can effectively mitigate major atmospheric and sea surface influences on sea surface air pressure retrieval. The major uncertainty of sea surface pressure retrieval is due to the standard deviation in radar power returns. Analysis and simulation demonstrate the potential of global sea surface pressure observations with errors of about 1∼2 mb, which is urgently needed for the improvement of numerical weather prediction models. Future work will emphasize instrument development and field experiments. It is anticipated that an O2 differential absorption radar system will be available for meteorological applications in a few years.