Improvements in simulation of atmospheric boundary layer parameters through data assimilation in ARPS mesoscale atmospheric model

D. Bala Subrahamanyam; Radhika Ramachandran; P. K. Kunhikrishnan

doi:10.1117/12.694106

12 December 2006 Improvements in simulation of atmospheric boundary layer parameters through data assimilation in ARPS mesoscale atmospheric model

D. Bala Subrahamanyam, Radhika Ramachandran, P. K. Kunhikrishnan

Author Affiliations +

Proceedings Volume 6404, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions; 64040K (2006) https://doi.org/10.1117/12.694106
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

Abstract

In a broad sense, 'Data Assimilation' refers to a technique, whereby the realistic observational datasets are injected to a model simulation for bringing accurate forecasts. There are several schemes available for insertion of observational datasets in the model. In this piece of research, we present one of the simplest, yet powerful data assimilation techniques - known as nudging through optimal interpolation in the ARPS (Advanced Regional Prediction System) model. Through this technique, we firstly identify the assimilation window in space and time over which the observational datasets need to be inserted and the model products require to be adjusted. Appropriate model variables are then adjusted for the realistic observational datasets with a proper weightage being given to the observations. Incorporation of such a subroutine in the model that takes care of the assimilation in the model provides a powerful tool for improving the forecast parameters. Such a technique can be very useful in cases, where observational datasets are available at regular intervals. In this article, we demonstrate the effectiveness of this technique for simulation of profiles of Atmospheric Boundary Layer parameters for a tiny island of Kaashidhoo in the Republic of Maldives, where regular GPS Loran Atmospheric Soundings were carried out during the Intensive Field Phase of Indian Ocean Experiment (INDOEX, IFP-99).

Citation Download Citation

D. Bala Subrahamanyam, Radhika Ramachandran, and P. K. Kunhikrishnan "Improvements in simulation of atmospheric boundary layer parameters through data assimilation in ARPS mesoscale atmospheric model", Proc. SPIE 6404, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions, 64040K (12 December 2006); https://doi.org/10.1117/12.694106

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available