Evaluation of the impact of a new quality control method on assimilation of CrIS data in HWRF-GSI

Author

Ding Liang ; Fuzhong Weng

Author_Institution

IMSG, College Park, MD, USA

fYear

2014

fDate

13-18 July 2014

Firstpage

3778

Lastpage

3781

Abstract

In this paper we evaluate the potential of assimilation of Cross-track Infrared Sounder (CrIS) radiance in the warm start HWRF system for Hurricane Sandy forecast using collocated Visible Infrared Imaging Radiometer Suite (VIIRS) cloud product for cloud detection and CrIS channels clearing. We examine the CrIS data bias correction and quality control procedure in GSI. Then we compare the cloud parameters retrieved from GSI stand-alone algorithm with those from CrIS/VIIRS collocated cloud products. And the impact of applying CrIS/VIIRS collocated cloud products on CrIS quality control in GSI has been evaluated.

Keywords

clouds; data assimilation; infrared imaging; quality control; radiometers; remote sensing; CRIS data assimilation; CrIS channels clearing; CrIS data bias correction; CrIS quality control; CrIS radiance; HWRF-GSI; Hurricane sandy forecast; VIIRS cloud product; cloud detection; cross-track infrared sounder; visible infrared imaging radiometer suite; Atmospheric modeling; Clouds; Equations; Ocean temperature; Quality control; Spatial resolution; Temperature sensors; CrIS; VIIRS; data assimilation; quality control;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947306

Filename

6947306