Auto-adaptive Tikhonov regularization of water vapor profiles: application to FORUM measurements
Anno: 2020
Autori: Sgheri L., Raspollini P., Ridolfi M.
Affiliazione autori: IAC CNR, Sesto Fiorentino, FI, Italy; IFAC CNR, Sesto Fiorentino, FI, Italy; INO CNR, Sesto Fiorentino, FI, Italy; Univ Bologna, Dip Fis & Astron, Bologna, Italy
Abstract: In this paper, we study the retrieval of water vapor profiles from simulated FORUM measurements. We show that the bias towards the a-priori introduced by the Optimal Estimation technique can be reduced by using larger errors for the a-priori. Reducing the strength of the a-priori may, however, cause unphysical oscillations in the resulting profiles because of the ill-conditioning of the retrieval problem. An a-posteriori regularization technique, the Iterative Variable Strength method, is thus applied to reduce the amplitude of the oscillations.
Giornale/Rivista: APPLICABLE ANALYSIS
Volume: 101 (10) Da Pagina: 3733 A: 3742
Parole chiavi: Remote sensing; radiative transfer inversion; regularization; water vapor retrieval; FORUMDOI: 10.1080/00036811.2020.1751825Citazioni: 2dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2023-06-04Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui