Technical Note: Functional sliced inverse regression to infer temperature, water vapour and ozone from IASI data

被引：26

作者：

Amato, U. ^{[1
]}

Antoniadis, A. ^{[2
]}

De Feis, I. ^{[1
]}

Masiello, G. ^{[3
]}

Matricardi, M. ^{[4
]}

Serio, C. ^{[3
]}

机构：

[1] CNR, Ist Applicaz Calcolo Mauro Picone, I-80125 Naples, Italy

[2] Univ Grenoble 1, Lab Jean Kuntzmann, Grenoble, France

[3] Univ Basilicata, Dipartimento Ingn & Fis Ambiente, I-85100 Potenza, Italy

[4] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England

来源：

ATMOSPHERIC CHEMISTRY AND PHYSICS | 2009年 / 9卷 / 14期

关键词：

D O I：

10.5194/acp-9-5321-2009

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A retrieval algorithm that uses a statistical strategy based on dimension reduction is proposed. The methodology and details of the implementation of the new algorithm are presented and discussed. The algorithm has been applied to high resolution spectra measured by the Infrared Atmospheric Sounding Interferometer instrument to retrieve atmospheric profiles of temperature, water vapour and ozone. The performance of the inversion strategy has been assessed by comparing the retrieved profiles to the ones obtained by co-locating in space and time profiles from the European Centre for Medium-Range Weather Forecasts analysis.

引用

页码：5321 / 5330

页数：10

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