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: 2020      Da Pagina: eaAPR 2020  A: eaAPR 2020

Parole chiavi: Remote sensing; radiative transfer inversion; regularization; water vapor retrieval; FORUM
DOI: 10.1080/00036811.2020.1751825

Citazioni: 2
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2022-05-22
Riferimenti tratti da Isi Web of Knowledge: (solo abbonati)
Link per visualizzare la scheda su IsiWeb: Clicca qui
Link per visualizzare la citazioni su IsiWeb: Clicca qui