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Impact of assimilation of INSAT-3D retrieved atmospheric motion vectors on short-range forecast of summer monsoon 2014 over the South Asian region

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Abstract

The Weather Research and Forecasting (WRF) model and its three-dimensional variational data assimilation system are used in this study to assimilate the INSAT-3D, a recently launched Indian geostationary meteorological satellite derived from atmospheric motion vectors (AMVs) over the South Asian region during peak Indian summer monsoon month (i.e., July 2014). A total of four experiments were performed daily with and without assimilation of INSAT-3D-derived AMVs and the other AMVs available through Global Telecommunication System (GTS) for the entire month of July 2014. Before assimilating these newly derived INSAT-3D AMVs in the numerical model, a preliminary evaluation of these AMVs is performed with National Centers for Environmental Prediction (NCEP) final model analyses. The preliminary validation results show that root-mean-square vector difference (RMSVD) for INSAT-3D AMVs is ∼3.95, 6.66, and 5.65 ms−1 at low, mid, and high levels, respectively, and slightly more RMSVDs are noticed in GTS AMVs (∼4.0, 8.01, and 6.43 ms−1 at low, mid, and high levels, respectively). The assimilation of AMVs has improved the WRF model of produced wind speed, temperature, and moisture analyses as well as subsequent model forecasts over the Indian Ocean, Arabian Sea, Australia, and South Africa. Slightly more improvements are noticed in the experiment where only the INSAT-3D AMVs are assimilated compared to the experiment where only GTS AMVs are assimilated. The results also show improvement in rainfall predictions over the Indian region after AMV assimilation. Overall, the assimilation of INSAT-3D AMVs improved the WRF model short-range predictions over the South Asian region as compared to control experiments.

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Acknowledgments

The authors are thankful to the National Center for Atmospheric Research (NCAR) for the WRF model. The analyzed global and forecast data provided by the National Centers for Environmental Prediction (NCEP) are acknowledged with sincere thanks. We are thankful to NASA for making the valuable data from the TRMM website http://disc2.nascom.nasa.gov/Giovanni/tovas. The INSAT-3D AMVs obtained from MOSDAC is gratefully acknowledged. The authors are thankful to CISL-RDA for PrepBUFR data and also to the Director of Space Applications Centre (SAC), ISRO, Ahmedabad, for his encouragement and help.

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Authors and Affiliations

  1. Atmospheric and Oceanic Sciences Group, Space Applications Centre, ISRO, Ahmedabad, 380015, India

    Prashant Kumar, Sanjib K. Deb, C. M. Kishtawal & P. K. Pal

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  1. Prashant Kumar
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  2. Sanjib K. Deb
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  3. C. M. Kishtawal
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  4. P. K. Pal
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Correspondence to Prashant Kumar.

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Kumar, P., Deb, S.K., Kishtawal, C.M. et al. Impact of assimilation of INSAT-3D retrieved atmospheric motion vectors on short-range forecast of summer monsoon 2014 over the South Asian region. Theor Appl Climatol 128, 575–586 (2017). https://doi.org/10.1007/s00704-015-1722-5

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