Assimilation of IRS-P4 (MSMR) meteorological data in the NCMRWF global data assimilation system

Kamineni, Rupa ; Rizvi, S. R. H. ; Kar, S. C. ; Mohanty, U. C. ; Paliwal, R. K. (2002) Assimilation of IRS-P4 (MSMR) meteorological data in the NCMRWF global data assimilation system Proceedings of the Indian Academy of Sciences - Earth and Planetary Sciences, 111 (3). pp. 351-364. ISSN 0253-4126

PDF - Publisher Version

Official URL:

Related URL:


Oceansat-1 was successfully launched by India in 1999, with two payloads, namely Multi-frequency Scanning Microwave Radiometer (MSMR) and Ocean Color Monitor (OCM) to study the biological and physical parameters of the ocean. The MSMR sensor is configured as an eight-channel radiometer using four frequencies with dual polarization. The MSMR data at 75 km resolution from the Oceansat-I have been assimilated in the National Centre for Medium Range Weather Forecasting (NCMRWF) data assimilation forecast system. The operational analysis and forecast system at NCMRWF is based on a T80L18 global spectral model and Spectral Statistical Interpolation (SSI) scheme for data analysis. The impact of the MSMR data is seen globally, however it is significant over the oceanic region where conventional data are rare. The dry-nature of the control analyses have been removed by utilizing the MSMR data. Therefore, the total precipitable water data from MSMR has been identified as a very crucial parameter in this study. The impact of surface wind speed from MSMR is to increase easterlies over the tropical Indian Ocean. Shifting of the positions of westerly troughs and ridges in the south Indian Ocean has contributed to reduction of temperature to around 30‡S.

Item Type:Article
Source:Copyright of this article belongs to Indian Academy of Sciences.
Keywords:MSMR Data; Wind Speed; Total Precipitable Water Content; GDAS; Impact
ID Code:26604
Deposited On:08 Dec 2010 13:30
Last Modified:17 May 2016 09:53

Repository Staff Only: item control page