Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Carbon dioxide vertical profile retrieving from proxy in MLT region: Monte Carlo uncertainty study. / Yankovsky, Valentine ; Vorobeva, Ekaterina .
EGU General Assembly 2019. 2019. 3512 (Geophysical Research Abstracts; Vol. 21).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TY - GEN
T1 - Carbon dioxide vertical profile retrieving from proxy in MLT region: Monte Carlo uncertainty study
AU - Yankovsky, Valentine
AU - Vorobeva, Ekaterina
N1 - Conference code: 21
PY - 2019/4/11
Y1 - 2019/4/11
N2 - In the framework of the YM2011 model of electronical-vibrational kinetics, we have demonstrated that collisional quenching with CO2 is essential for the only one proxy, O2(b, v = 0) [1]. The remaining proxies, O(1D), O2(b, v= 2 or 1), O2(a, v= 0 or 1), do not depend on [CO2] as it was shown using the photochemical model YM2011. However, the population of the level O2(b, v = 0) depends also on the overlying level O2(b, v = 1) due to the fast E-V energy transfer in the reaction O2(b, v= 1) + O2(X, v = 0) --> O2(X, v = 1) + O2(b, v= 0). Thus, to retrieve the altitude profile of [CO2] in the daytime mesosphere and lower thermosphere (MLT), we developed a method that uses the simultaneous measurement of the volume emission rates for the transitions from two excited levels of the oxygen molecule, O2(b, v= 0) and O2(b, v= 1).The uncertainty of retrieval of the CO2 concentration was estimated by the Monte Carlo method taking into accountthe errors of all the YM2011 model parameters without exception. The proposed algorithm allows to obtain the altitude profile of CO2 concentration in the range of 50 – 85 km with an uncertainty of 10 –20% and in the range of 85 – 100 km with an uncertainty of 20 – 60%. The simultaneous retrieval of altitude profiles of ozone concentration (in the altitude range of 50–100 km) and atomic oxygen concentration (above 89 km) is also possible by usingrespective proxies. In addition, we compared the results obtained with the results of the sensitivity analysis [1].Funding: This work was supported by the Russian Fund for Basic Research (grant RFBR No.17-05-00532).
AB - In the framework of the YM2011 model of electronical-vibrational kinetics, we have demonstrated that collisional quenching with CO2 is essential for the only one proxy, O2(b, v = 0) [1]. The remaining proxies, O(1D), O2(b, v= 2 or 1), O2(a, v= 0 or 1), do not depend on [CO2] as it was shown using the photochemical model YM2011. However, the population of the level O2(b, v = 0) depends also on the overlying level O2(b, v = 1) due to the fast E-V energy transfer in the reaction O2(b, v= 1) + O2(X, v = 0) --> O2(X, v = 1) + O2(b, v= 0). Thus, to retrieve the altitude profile of [CO2] in the daytime mesosphere and lower thermosphere (MLT), we developed a method that uses the simultaneous measurement of the volume emission rates for the transitions from two excited levels of the oxygen molecule, O2(b, v= 0) and O2(b, v= 1).The uncertainty of retrieval of the CO2 concentration was estimated by the Monte Carlo method taking into accountthe errors of all the YM2011 model parameters without exception. The proposed algorithm allows to obtain the altitude profile of CO2 concentration in the range of 50 – 85 km with an uncertainty of 10 –20% and in the range of 85 – 100 km with an uncertainty of 20 – 60%. The simultaneous retrieval of altitude profiles of ozone concentration (in the altitude range of 50–100 km) and atomic oxygen concentration (above 89 km) is also possible by usingrespective proxies. In addition, we compared the results obtained with the results of the sensitivity analysis [1].Funding: This work was supported by the Russian Fund for Basic Research (grant RFBR No.17-05-00532).
KW - Monte carlo method
UR - https://meetingorganizer.copernicus.org/EGU2019/EGU2019-3512.pdf
M3 - Conference contribution
T3 - Geophysical Research Abstracts
BT - EGU General Assembly 2019
T2 - EGU General Assembly 2019
Y2 - 7 April 2019 through 12 April 2019
ER -
ID: 51041821