Evaluation of biases and uncertainties in ROMEX radio occultation observations

Abstract. The Radio Occultation Modeling EXperiment (ROMEX) is an international collaboration to test the impact of varying numbers of radio occultation (RO) profiles in operational numerical weather prediction (NWP) models. An average of 35 000 RO profiles d−1 for September–November 2022 from 13 different missions are being used in experiments at major NWP centers. This paper evaluates properties of ROMEX data, with emphasis on the three largest datasets: COSMIC-2 (Constellation Observing System for Meteorology, Ionosphere and Climate-2 or C2), Spire, and Yunyao. The penetration depths (percent of profiles reaching different levels above the surface) of most of the ROMEX datasets are similar, with more than 80 % of all occultations reaching 2 km or lower and more than 50 % reaching 1 km or lower. The relative uncertainties of the C2, Spire, and Yunyao bending angles and refractivities are estimated using the three-cornered hat method. They are similar on the average in the region of overlap (45–45° N). Larger uncertainties occur in the tropics compared to higher latitudes below 20 km. Relatively small variations in longitude exist. We investigate biases in the observations by comparing them to each other and to models. C2 bending angles appear to be biased by about 0.15 % compared to Spire and other ROMEX data between 10 and 30 km altitude. These biases, most of which are representativeness or sampling differences, are caused by the different orbits of C2 and other ROMEX missions around the non-spherical Earth and the associated varying radii of curvature.

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Publication Details

Journal
Atmospheric measurement techniques
Published
2025-11-24
DOI
https://doi.org/10.5194/amt-18-6997-2025
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
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article

Evaluation of biases and uncertainties in ROMEX radio occultation observations

Jon Starr, Richard A. Anthes, Jeremiah Sjoberg, Zhen Zeng
Atmospheric measurement techniques
Ionosphere and magnetosphere dynamics
article

Evaluation of biases and uncertainties in ROMEX radio occultation observations

Jon Starr, Richard A. Anthes, Jeremiah Sjoberg, Zhen Zeng
article en

Abstract

Abstract. The Radio Occultation Modeling EXperiment (ROMEX) is an international collaboration to test the impact of varying numbers of radio occultation (RO) profiles in operational numerical weather prediction (NWP) models. An average of 35 000 RO profiles d−1 for September–November 2022 from 13 different missions are being used in experiments at major NWP centers. This paper evaluates properties of ROMEX data, with emphasis on the three largest datasets: COSMIC-2 (Constellation Observing System for Meteorology, Ionosphere and Climate-2 or C2), Spire, and Yunyao. The penetration depths (percent of profiles reaching different levels above the surface) of most of the ROMEX datasets are similar, with more than 80 % of all occultations reaching 2 km or lower and more than 50 % reaching 1 km or lower. The relative uncertainties of the C2, Spire, and Yunyao bending angles and refractivities are estimated using the three-cornered hat method. They are similar on the average in the region of overlap (45–45° N). Larger uncertainties occur in the tropics compared to higher latitudes below 20 km. Relatively small variations in longitude exist. We investigate biases in the observations by comparing them to each other and to models. C2 bending angles appear to be biased by about 0.15 % compared to Spire and other ROMEX data between 10 and 30 km altitude. These biases, most of which are representativeness or sampling differences, are caused by the different orbits of C2 and other ROMEX missions around the non-spherical Earth and the associated varying radii of curvature.

Atmospheric measurement techniquesVol. 18(22)
University Corporation for Atmospheric Research (US)
Openalex Percentile: Top 75%
Ionosphere and magnetosphere dynamics
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Evaluation of biases and uncertainties in ROMEX radio occultation observations — Jon Starr, Richard A. Anthes, et al. · Atmospheric measurement techniques (2025) | TGRS Research Map | TGRS