Progetto di ricerca

NA_OSI_VSA21_03 on Coastal PenWP (DTA.AD004.422)

Area tematica

Scienze del sistema Terra e tecnologie per l'ambiente

Area progettuale

Osservazione della Terra (DTA.AD004)

Struttura responsabile del progetto di ricerca

Istituto di scienze marine (ISMAR)

Responsabile di progetto

GIUSEPPE GRIECO
Telefono: 081 5423 840
E-mail: giuseppe.grieco@cnr.it

Abstract

In this study, the improvement of the coastal sampling of QuikSCAT/Seawinds derived wind vector fields is pursuived. In order to achieve this goal, a Land Contribution Ratio (LCR) based Normalized Radar Cross Section (NRCS) correction scheme will be implemented and validated. For this purpose, some special coastal areas which are not affected by orography will first be considered. In addition, the most performant averaging procedure will be assessed both far and close to the shore, by choosing between a simple box car averaging and a noise dependent averaging. Finally, the optimal outcoming configuration will be implemented in the PenWP processor.

Obiettivi

In the study OSI SAF VSA 20_03, the noise of the SeaWinds Normalized Radar Cross Section (NRCS) has been thoroughly characterized for each of the eight slices of the footprint (so called "egg") and for wind regimes ranging from low to mid-high. This study evidences the discrepancy between the noise levels (kp) provided in the SeaWinds full resolution (FR) files and those experimentally computed by applying the formula that defines the kp. In particular, it comes out that the farther the slice is from the egg centroid, the higher the experimentally obtained kp is, as expected. However, this is not the case of the kp provided in the SeaWinds files, which shows an asymmetric trend w.r.t. the egg centroid. The main goals of this follow-up proposal are:
a) Assess the most accurate averaging procedure among the box car averaging, the averaging by means of experimental kps and the averaging by means of the kps provided in the FR SeaWinds files.
b) Implement the sea NRCS regression scheme in the PenWP processor.

Data inizio attività

15/11/2021

Parole chiave

Coastal winds, pencil beam scatterometer, QuikSCAT

Ultimo aggiornamento: 06/08/2025