TY - JOUR
T1 - Comparison of Desroziers and Three-Cornered Hat Methods for Estimating COSMIC-2 Bending Angle Uncertainties
AU - Semane, Noureddine
AU - Anthes, Richard
AU - Sjoberg, Jeremiah
AU - Healy, Sean
AU - Ruston, Benjamin
N1 - Publisher Copyright:
© 2022 American Meteorological Society.
PY - 2022/7
Y1 - 2022/7
N2 - We compare two seemingly different methods of estimating random error statistics (uncertainties) of obser-vations, the three-cornered hat (3CH) method and Desroziers method, and show several examples of estimated uncertainties of COSMIC-2 (C2) radio occultation (RO) observations. The two methods yield similar results, attesting to the validity of both. The small differences provide insight into the sensitivity of the methods to the assumptions and computational details. These estimates of RO error statistics differ considerably from several RO error models used by operational weather forecast centers, suggesting that the impact of RO observations on forecasts can be improved by adjusting the RO error models to agree more closely with the RO error statistics. Both methods show RO uncertainty estimates that vary with latitude. In the troposphere, uncertainties are higher in the tropics than in the subtropics and middle latitudes. In the upper stratosphere–lower mesosphere, we find the reverse, with tropical uncertainties slightly less than in the subtropics and higher latitudes. The uncertainty estimates from the two techniques also show similar variations between a 31-day pe-riod during Northern Hemisphere tropical cyclone season (16 August–15 September 2020) and a month near the vernal equinox (April 2021). Finally, we find a relationship between the vertical variation of the C2 estimated uncertainties and atmospheric variability, as measured by the standard deviation of the C2 sample. The convergence of the error estimates and the standard deviations above 40 km indicates a lessening impact of assimilating RO above this level.
AB - We compare two seemingly different methods of estimating random error statistics (uncertainties) of obser-vations, the three-cornered hat (3CH) method and Desroziers method, and show several examples of estimated uncertainties of COSMIC-2 (C2) radio occultation (RO) observations. The two methods yield similar results, attesting to the validity of both. The small differences provide insight into the sensitivity of the methods to the assumptions and computational details. These estimates of RO error statistics differ considerably from several RO error models used by operational weather forecast centers, suggesting that the impact of RO observations on forecasts can be improved by adjusting the RO error models to agree more closely with the RO error statistics. Both methods show RO uncertainty estimates that vary with latitude. In the troposphere, uncertainties are higher in the tropics than in the subtropics and middle latitudes. In the upper stratosphere–lower mesosphere, we find the reverse, with tropical uncertainties slightly less than in the subtropics and higher latitudes. The uncertainty estimates from the two techniques also show similar variations between a 31-day pe-riod during Northern Hemisphere tropical cyclone season (16 August–15 September 2020) and a month near the vernal equinox (April 2021). Finally, we find a relationship between the vertical variation of the C2 estimated uncertainties and atmospheric variability, as measured by the standard deviation of the C2 sample. The convergence of the error estimates and the standard deviations above 40 km indicates a lessening impact of assimilating RO above this level.
KW - Data assimilation
KW - Error analysis
KW - Global positioning systems (GPS)
KW - Model initialization
KW - Numerical analysis/modeling
KW - Occultation
KW - Quality assurance/control
KW - Remote sensing
KW - Satellite observations
KW - Statistical techniques
KW - Uncertainty
UR - https://www.scopus.com/pages/publications/85130388825
U2 - 10.1175/JTECH-D-21-0175.1
DO - 10.1175/JTECH-D-21-0175.1
M3 - Article
AN - SCOPUS:85130388825
SN - 0739-0572
VL - 39
SP - 929
EP - 939
JO - Journal of Atmospheric and Oceanic Technology
JF - Journal of Atmospheric and Oceanic Technology
IS - 7
ER -