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Assessment of INSAT-3D/INSAT-3DR Derived Atmospheric Motion Vectors Using Wind Profiler Observations Located at Gadanki, India

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Abstract

The accurate estimation of atmospheric motion vectors (AMVs) derived using sequences of images from geostationary satellites is very important because of their extensive use in improving initial conditions of the numerical weather prediction (NWP) models. To assess the quality of retrieved AMVs, validation of these winds with ground-based observation is very important. In the present study, the evaluation of AMVs retrieved using the data from geostationary satellites, viz. INSAT-3D/INSAT-3DR, has been carried out with respect to wind profiler data and radiosonde data. The wind profiler used in the present study is an L-band radar lower atmosphere wind profiler and is installed at the National Atmospheric Research Laboratory, Gadanki, located at 13.27° N, 79.10° E. This instrument measures continuous high-resolution wind measurements in the lower atmosphere. The radiosonde data available near Gadanki are used for validation. In this study, normal infrared (IR) AMV derived using 10.5–11.5 μm channel of INSAT-3D and INSAT-3DR satellites and staggering-mode IR AMV retrieved using INSAT-3D/INSAT-3DR combination are used. AMV accuracy assessment was performed for the years 2017 and 2018 by calculating statistical scores, viz. root mean square vector difference, wind speed bias and a number of matching points. In addition, the INSAT-3D/INSAT-3DR AMV and profiler wind data are also used to study the characteristics of low-level jet during active and break period of the Indian summer monsoon of 2017 and 2018. The accuracy assessment through this study shows the usefulness of AMVs for improving the initial conditions in NWP models in future.

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References

  • Bedka, K. M., Velden, C. S., Petersen, R. A., Feltz, W. F., & Mecikalski, J. R. (2009). Comparisons of satellite-derived atmospheric motion vectors, rawinsondes, and NOAA wind profiler observations. Journal of Applied Meteorology and Climatology,48, 1542–1561.

    Article  Google Scholar 

  • Deb, S. K., Kaur, I., Kishtawal, C. M., & Pal, P. K. (2014). Comparison of Kalpana-1 atmospheric motion vectors with other observations. Theoretical and Applied Climatology,115, 693–702.

    Article  Google Scholar 

  • Deb, S. K., Kishtawal, C. M., Kaur, I., Pal, P. K., & Kiran Kumar, A. S. (2012). Multiplet based technique to derive atmospheric winds from Kalpana-1. In Proceedings of the 11th international winds workshop, Auckland, 20–24 Feb, 2012.

  • Deb, S. K., Kishtawal, C. M., Kumar, P., Kiran Kumar, A. S., Pal, P. K., Kaushik, N., & Sangar, G. (2016). Atmospheric motion vectors from INSAT-3D: Initial quality assessment and its impact on track forecast of cyclonic storm NANAUK. Atmospheric Research,169, 1–16.

    Article  Google Scholar 

  • Deb, S. K., Kishtawal, C. M., Pal, P. K., & Joshi, P. C. (2008). A modified tracer selection and tracking procedure to derive winds using water vapor imagers. Journal of Applied Meteorology and Climatology,47, 3252–3263.

    Article  Google Scholar 

  • Deb, S. K., Sankhala, D. K., & Kishtawal, C. M. (2018). Retrieval of atmospheric motion vector using INSAT-3D and INSAT-3DR imager data in staggering mode. Vayumandal,42(2), 31–46.

    Google Scholar 

  • Deb, S. K., Wanzong, S., Velden, C. S., Kaur, I., Kishtawal, C. M., Pal, P. K., et al. (2013). Height assignment improvement in Kalpana-1 atmospheric motion vectors. Journal of the Indian Society of Remote Sensing,42(2), 679–687.

    Google Scholar 

  • Goswami, B. N., & Ajaya Mohan, R. S. (2001). Intra-seasonal oscillations and inter-annual variability of the Indian summer monsoon. Journal of Climate,14(6), 1180–1198.

    Article  Google Scholar 

  • Joseph, P. V., Eischeid, J. K., & Pyle, R. J. (1994). Interannual variability of the onset of the Indian summer monsoon and its association with atmospheric features, El Nino, and sea surface temperature anomalies. Journal of Climate,7, 81–105.

    Article  Google Scholar 

  • Joseph, P. V., & Sijikumar, S. (2004). Intraseasonal variability of the low-level jet stream of the Asian summer monsoon. Journal of Climate,17(7), 1449–1458.

    Article  Google Scholar 

  • Kaur, I., Deb, S. K., Kishtawal, C. M., Pal, P. K., & Kumar, R. (2013). Low level cloud motion vectors from Kalpana-1 visible images. Journal of Earth System Science,122(4), 935–946.

    Article  Google Scholar 

  • Kishtawal, C. M., Deb, S. K., Pal, P. K., & Joshi, P. C. (2009). Estimation of atmospheric motion vectors from Kalpana-1 imagers. Journal of Applied Meteorology and Climatology,48(11), 2410–2421.

    Article  Google Scholar 

  • Krishnamurti, T. N. (1985). Summer monsoon experiment—A review. Monthly Weather Review,113, 1590–1626.

    Article  Google Scholar 

  • Menzel, W. P. (1996). Report from the working group on verification statistics. In Proceeding of the 3rd international winds workshop, Ascona, Switzerland, 10–12 June.

  • Rajeevan, M., Gadgil, S., & Bhate, J. (2010). Active and break spells of the Indian summer monsoon. Journal of Earth System Science,119(3), 229–247.

    Article  Google Scholar 

  • Ramamurthy, K. (1969). Monsoon of India: Some aspects of ‘break’ in the Indian south-west monsoon during July and August. Forecasting Manual, Report IV, Vol. 18. [Available from India Meteorological Department, Pune–411005, India].

  • Sankhala, D. K., Deb, S. K., & Sathiyamoorthy, V. (2019). INSAT-3D low-level atmospheric motion vectors: Capability to capture Indian summer monsoon intra-seasonal variability. Journal of Earth System Science,128(2), 31.

    Article  Google Scholar 

  • Sears, J., & Velden, C. S. (2012). Validation of satellite-derived atmospheric motion vectors and analyses around tropical disturbances. Journal of Applied Meteorology and Climatology,51, 1823–1834.

    Article  Google Scholar 

  • Srinivasulu, P., Yasodha, P., Kamaraj, P., Rao, T. N., & Jayaraman, A. (2012). 1280-MHz active array radar wind profiler for lower atmosphere: system description and data validation. Journal of Atmospheric and Oceanic Technology,29, 1455–1470.

    Article  Google Scholar 

  • Webster, P. J., Magana, V. O., Palmer, T. N., Shukla, J., Tomas, R. T., Yanai, M., et al. (1998). Monsoons: Processes, predictability, and the prospects for prediction. Journal of Geophysical Research: Oceans,103(C7), 14451–14510.

    Article  Google Scholar 

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Acknowledgements

The authors are thankful to the anonymous reviewers for their critical comments and suggestions, which were helpful to substantially improve the quality and presentation of the revised manuscript. The authors are thankful to the Director, Space Applications Centre (SAC), Indian Space Research Organization (ISRO), Deputy Director, EPSA/SAC/ISRO, Group Director, AOSG/EPSA/SAC, and Division Head, ASD/AOSG/EPSA/SAC, for their encouragement. Authors are also thankful to Director, National Atmospheric Research Laboratory (NARL), Gadanki, for his support for this work. The authors are also grateful to the Meteorological and Oceanographic Satellite Data Archival Centre (MOSDAC) team (www.mosdac.gov.in) of SAC, ISRO, Ahmadabad, for putting INSAT-3D and INSAT-3DR AMV on operational basis, to NARL, Gadanki, for providing wind profiler data from LAWP, and to NOAA for providing radiosonde wind available through the Internet for this validation exercise.

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Correspondence to Dineshkumar K. Sankhala.

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Sankhala, D.K., Deb, S.K., Yasodha, P. et al. Assessment of INSAT-3D/INSAT-3DR Derived Atmospheric Motion Vectors Using Wind Profiler Observations Located at Gadanki, India. J Indian Soc Remote Sens 48, 585–595 (2020). https://doi.org/10.1007/s12524-020-01101-y

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