• Current ongoing projects.

     

    • Revolutionizing Seamless Precipitation Forecast: Machine Learning-Driven Assimilation of Satellite Precipitation Observations in NICAM-LETKF for Powering Global Diurnal and Heavy Rainfall Predictions

    Kakenhi Grant-in-Aid for Early Career Researcher 2024-27 (Wakate; PI: Dr. Konduru Rakesh Teja)

    Link: Kaken project page

  • Completed Projects

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    Project: Benefits of the frequent and dense satellite data assimilation in the global NICAM-LETKF model

    Duration: 2022-2025

    PI: Dr. Takemasa Miyoshi

    Remark: I was a researcher in this project.

    Location: RIKEN Center for Computational Science, Kobe, Japan.

    — Notable Achievements

    1. Konduru, R. T., Liang, J., Miyoshi, T., Terasaki, K., Observing Systems Simulation Experiments of Hypothetical Hourly Global Coverage of Microwave Satellite Radiances: Imbalance and Adaptive Observation Error Inflation. JGR-Atmosphere (Under Review)

    2. Konduru, R. T., Liang, J., Otsuka, S., and Miyoshi, T. (2024), Improving Small-scale Tropical Precipitation Forecast by Assimilating Frequent Satellite Microwave Observations. 11th Workshop on the International Precipitation Working Group, Tokyo Institute of Technology, Tokyo, July 15–18, 2024. (Poster; Highly Commendable presentation award)

    3. Konduru, R. T., Liang, J., Otsuka, S., and Miyoshi, T. (2024), Improving Small-scale Tropical Precipitation Forecast by Assimilating Frequent Satellite Microwave Observations. 10th International Symposium on Data Assimilation, Kobe, October 21–25, 2024. (Best Poster Presentation award)

    4. Konduru, R. T., Liang, J., and Miyoshi, T. (2023) High-frequency microwave satellite radiances data assimilation using NICAM-LETKF in the OSSE framework, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10561. https://doi.org/10.5194/egusphere-egu23-10561

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    Project: Investigation of atmospheric energy cascading over high-resolution urban environments to improve severe weather predictions and urban planning.

    Duration: 2023-2025

    PI: Dr. Rahul Bale

    Co-PI: Dr. Konduru Rakesh Teja

    Location: RIKEN Center for Computational Science, Kobe, Japan.

    — Notable Achievements

    1. Konduru, R. T., Bale, R., Tsubakura, M., and Miyoshi, T. (2025). Transforming Urban Wind Engineering by Taming Extreme Weather Strong Winds Over Urban Skylines with Ultra-High-Resolution Simulations on Supercomputer Fugaku. In Supercomputing Asia 2025 (SCA ’25), Singapore. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3718350.3718353 (In press)

    2. Konduru, R. T. (2024) Unravelling the Urbanization Effects on the Extreme Rainfall Events: Insights from Mesoscale to Large Eddy Model simulations. at Department of Physics, School of Science and Engineering, Ateneo de Manila University, Philippines on 23rd May. (Invited Talk: Online)

    3. Konduru, R. T., and Bale, R. (2024), Exploring Fundamental Mean and Turbulent Scale Interactions and their Tagging over Urban Atmosphere under extreme and calm weather scenarios using a computational fluid dynamics model. American Geophysical Union Meeting 2024, Washington DC, USA, December 8–13, 2024. (E-lightening, oral)

    4. Konduru, R. T., and Bale, R. (2023) Energy cascading during Typhoon and calm weather scenarios over the Urban atmosphere: Insights from CUBE computational fluids dynamics model. 1st International Workshop on Typhoon Reseach (IWTRC 2023), Yokohama National Univeristy, Yokohama, Japan, November 8–9 2023. (Oral)