Skip to main content
U.S. flag

An official website of the United States government

Dot Gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

HTTPS

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Improved GSI Forward Model For Surface Observations On Coastlines

Abstract

The Gridpoint Statistical Interpolation (GSI) Data Assimilation System has been developed as analysis component for both global (GFS) and regional (NAM, RAP/HRRR) numerical weather forecast systems in NOAA/NCEP. GSI can analyze many types of the observations with well-developed forward model, such as soundings, aircraft observations, satellite radiance, and GPS refractivity/bending angle. But in most of the GSI applications, including RAP/HRRR, the same forward model that interpolates background fields to observation location only based on the distance among observation and the grid point is used for upper air and surface observations. This forward model for surface observations can induce large representativeness error when surface conditions are inhomogeneous, such as on coastlines. In this study, an improved forward model for surface observations is developed to analyze the observations on coastlines with GSI. Both ideal and real cases were conducted to test and verify the improved forward model under different seasons and resolutions. Results shows that the improved forward model can distinguish the characteristic of coastal observations automatically, and then improve the analysis along the coast area.

Article / Publication Data
Active/Online
YES
Available Metadata
Fiscal Year
Published On
January 01, 2017
Type
Event

This publication was presented at the following:

Title
2017 - 97th AMS Annual Meeting
Sponsor
Amer. Meteor. Soc.
Type
Conference presentation

Institutions

Not available

Authors

Authors who have authored or contributed to this publication.

Not available