IMPLEMENTATION AND EVALUATION OF OPTIMAL SPECTRAL SAMPLING METHOD IN CRTM

被引：1

作者：

Zhu, Tong ^{[1
,5
]}

Moncet, Jean-Luc ^{[2
]}

Boukabara, Sid A. ^{[3
]}

Liu, Quanhua ^{[3
]}

van Delst, Paul ^{[4
,6
]}

机构：

[1] Colorado State Univ, CIRA, Ft Collins, CO 80523 USA

[2] Atmospher & Environm Res, Lexington, MA USA

[3] NOAA, NESDIS, STAR, College Pk, MD USA

[4] IM Syst Grp Inc, College Pk, MD USA

[5] NOAA, NESDIS, STAR, JCSDA, College Pk, MD 20740 USA

[6] NOAA, NCEP, EMC, JCSDA, College Pk, MD USA

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

关键词：

OSS method; CRTM; transmittance technique; unapodized radiance;

D O I：

10.1109/IGARSS.2016.7729566

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recently, the Optimal Spectral Sampling (OSS) method was implemented in a development version of the Community Radiative Transfer Model (CRTM) at JCSDA. This presentation describes the way that the OSS is implemented in CRTM, and some preliminary evaluation of the performance of the CRTM-OSS in comparison with CRTM-ODPS method. One of the important benefits of the OSS method is its capability to simulate unapodized radiance, which could lead to better sensitivity in retrievals and data assimilation for numerical weather prediction (NWP). The accuracy and speed of the OSS simulations are two trade-off factors, depending on how many spectral nodes are used during training and simulation. In general, the OSS simulations of hyper spectral IR sensors, such as IASI and CrIS, can archive similar accuracy and double speed as compared to the CRTM-ODPS simulations.

引用

页码：2193 / 2196

页数：4

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