• Outline

     I am currently working on convection representation in climate models. If convection is not accurately represented, what kind of errors does it pose in the climate simulations? Do current climate models have skill in representing convection, then how to quantify them? How important is the diurnal cycle? Another challenging area is, how convection responds under different forcings and scenarios in the climate models. How can data assimilation improve convection representation? How can we use data assimilation and artificial intelligence to understand convection?

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    Konduru Rakesh Teja is a researcher, meteorologist, climatologist, and statistician.

     

    Interest Areas

    • Meteorology & Climatology
    • Climate modelling
    • Data assimilation & Artificial intelligence
    • Urban climate
    • Remote Sensing
    • Statistics

    Affiliations

    • Data Assimilation Team, RIKEN Center for Computational Science, Kobe, Japan
    • The cluster of Pioneering Research, RIKEN Center for Computational Science, Kobe, Japan
    • Collaborative researcher, Environmental Engineering, Indian Institute of Technology, Chennai, India
    PhD thesis title and front cover.

    Academics

     Education

    • PhD Science Tokyo Metropolitan University, Tokyo, Japan 2021
    • Master of Science Jawaharlal Nehru Technological University, India 2013
    • Bachelor of Science Sri Venkateswara University, India 2010

    Research Experience (6 Years)

    • Postdoctoral Researcher RIKEN Center for Computational Science, Japan (2022-Present)
    • Special Researcher Tokyo Metropolitan University, Japan (2021-2022)
    • Senior Research Fellow National Aerospace Laboratories, India (2015-2017)
    • Research Fellow CSIR 4th Paradigm Institute, India (June, 2015-September, 2015)
    • Research Fellow Indian Institute of Technology Delhi, India (2013-2015)

  • Publications

    10. Gupta, A., Konduru, R. T., and Vivek, S. (2023). Satellite sensed summer monsoon torrential rain events characteristics along the Himalayan regions of

    north India and their dynamics. Atmospheric Research, 107077. https://doi.org/10.1016/j.atmosres.2023.107077

     

    9. Konduru, R. T., Mrudula, G., Vivek, Singh., Srivastava, A. K., and Abhay, K. S. (2023) Unravelling the causes of 2015 winter extreme rainfall over

    Chennai: Influence of atmospheric variability and urbanization on the hydrological cycle. Urban Climate, 47, 101395.

    https://doi.org/10.1016/j.uclim.2022.101395

     

    8. Konduru, R. T., Matsumoto, J., Yokoi, S., and Mori, S. (2022) Climatological characteristics of nocturnal eastward propagating diurnal precipitation

    system over southeast India during summer monsoon: Role of mountain-plain-sea circulations and Gravity waves. Meteorological Applications, 29 (6).

     

    7.  Konduru, R. T., G. M. (2021). Effect of offshore troughs on the South India erratic summer monsoon rainfall in June 2017. Dynamics of Atmospheres and

    Oceans. https://doi.org/10.1016/j.dynatmoce.2020.101187

     

    6. Singh, V., Konduru, R. T., Srivastava, A. K., Momin, I. M., Kumar, S., Singh, A. K., ... & Sinha, A. K. (2021). Predicting the rapid intensification and

    dynamics of pre-monsoon extremely severe cyclonic storm ‘Fani’ (2019) over the Bay of Bengal in a 12-km global model. Atmospheric Research, 247,

    105222.

     

    5. Konduru, R. T., Takahashi, H. G. (2020). Effects of convection representation and model resolution on diurnal precipitation cycle over the Indian

    monsoon region: Toward a convection‐permitting regional climate simulation. Journal of Geophysical Research: Atmospheres, 125, e2019JD032150.

     

    4. Konduru, R. T., Takahashi, H. G. (2020). Seasonal differences in the land-atmosphere coupling over South Asia simulated using a regional climate

    model. Geographical reports of Tokyo Metropolitan University, 55, 23-34.

     

    3. Long, T. T., Konduru, R. T., Matsumoto, J. et al., (2019): Autumn rainfall increasing trend in South Central Vietnam and its association with changes in

    Vietnam's East Sea surface temperature, Geographical reports of Tokyo Metropolitan University, 54, 11-22.

     

    2. Konduru, R. T., Kishtawal, C. M., and Shah, S. (2013). A new perspective on the infrared brightness temperature distribution of deep convective clouds.

    Journal of Earth System Sciences, 122(5), 1195-1206.

     

    1.  Konduru, R. T., (2012). The effect of El Niño and La Niña on the Tropical cyclones of North Indian Ocean. Indian Ocean Tropical Cyclone Conference, New

    Delhi, RSMC, WMO, WWRP 2013-1.

    In preparation

    6. Konduru, R. T., Otsuka, S., Liang, J., and Miyoshi, T., Enhancing Small-Scale Global Weather Forecasting by High-Frequency Satellite Data Assimilation: A Horizontal

    Localization Aspect. (In preparation).

     

    5. Konduru, R. T., Liang, J., Miyoshi, T., Terasaki, K., Improving Global High-Frequency Assimilation of Satellite Observations in NICAM-LETKF by the
    Adaptive Observation Error Inflation. JGR-Atmosphere (In preparation).

     

    4. Liang, J., Konduru, R. T., Miyoshi, T., and Terasaki, K. Using OSSEs to study the impact of assimilating global coverage AMSU-A radiance at high temporal
    frequencies. Atmospheric Science Letters (Ready to submit).

     

    3. Konduru, R. T., Gupta, A., Srivastava, A. K., Singh, V., Vijay, P. K., and Sarangi, C. (2023). Effect of aerosols in the intensification of
    winter hailstorms over semi-arid regions of north India. Journal of Hydrometeorology (Under review)

     

    2. Konduru, R. T., Gupta, A., Singh, V., and (2023). A kilometer scale and large eddy simulation of extreme winter rainfall over the urban

    environment: Role of urban schemes and microphysics. Urban Climate (Resubmission).

     

    1.  Konduru, R. T., Kishtawal, C. M., Singh, V., and Adachi, Sachiho (2023) Urbanization exacerbated the winter extreme precipitation characteristics over

    southeast India: Insights from kilometer scale regional climate simulations. Quarterly Journal of Royal Meteorological Society (In preparation).

  • Presentations

    Invited Talks

    7. 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)

     

    6. Konduru, R. T. (2023) Seamless predictability of rainfall systems by employing ultra-high resolution computational simulations and their applications. at

    Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India on 13th June. (Guest Lecture)

     

    5. Konduru, R. T. (2023) Challenges in assimilating high-frequency satellite observations and diagnosing high-frequency errors: Insights from global NICAM-LETKF

    system. at Space Applications Centre, Indian Space Research Organisation, Ahmedabad, India on 7th June. (Invited seminar)

     

    4. Konduru, R. T. (2023) Seamless predictability of rainfall systems by employing ultra-high resolution computational simulations and their applications. at

    Department of Civil Engineering, National Institute of Technology Warangal, India on 6th June. (Guest Lecture)

     

    3. Konduru, R. T. (2023) Challenges in the high-frequency microwave satellite radiances assimilation using NICAM-LETKF in the OSSE framework. at a Data

    assimilation seminar co-hosted by the University of Reading and the RIKEN Center for Computational Science. (Online)

     

    2. Konduru, R. T. (2023) Ubiquitous nature of the diurnal cycle of precipitation and its representation in current generation climate models. at an international

    workshop on the Climate, water, land and life in Monsoon Asia. Hosted by Tokyo Metropolitan University, Tokyo, Japan.

     

    1. Konduru, R, T. (2023) How to make high-resolution simulations representative of future climate, at a symposium on Examining the impact of Aerosol, Urbanization,

    and Irrigation on extreme rainfall occurrences over India using Cloud-Resolving Simulations., at Indian Institute of Technology Madras, India.

    Conference presentations

    47. 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)

     

    46. Konduru, R. T., and Bale, R. (2024), Exploring Urban-Atmosphere Scale Interactions in Extreme Weather from a CUBE computational fluid dynamics model. 9th GEWEX Open

    Science Conference, Sapporo, Japan, July 7–12, 2024. (Poster)

     

    45. Konduru, R. T., Liang, J., and Miyoshi, T. (2024), Adaptive Observation Error Inflation with the Assimilation of High-Frequency Satellite Observations under an

    OSSE Framework with NICAM-LETKF. Asia Oceania Geosciences Union 2024 Meeting, Pyeongyang, S.Korea, June 24–June 28, 2024. (Oral)

     

    44. Konduru, R. T., and Bale, R. (2024), Energy Cascading During Extreme and Calm Weather Scenarios Over Urban Atmosphere: Insights from Cube Computational Fluid

    Dynamics Model. Japan Geosciences Union 2024 Meeting, Chiba, Japan, May 27–March 31, 2024. (Oral)

     

    43. Konduru, R. T., Otsuka, S., Liang, J., and Miyoshi, T. (2024), Enhancing Small-Scale Global Weather Forecasting by High-Frequency Satellite Data Assimilation: A Horizontal

    Localization Aspect. Japan Geosciences Union 2024 Meeting, Chiba, Japan, May 27–March 31, 2024. (Oral)

     

    42. Konduru, R. T., Otsuka, S., Liang, J., and Miyoshi, T. (2024), Enhancing Small-Scale Global Weather Forecasting by High-Frequency Satellite Data Assimilation: A Horizontal

    Localization Aspect. Meteorological Society of Japan Spring Meeting, Tokyo, Japan, May 21–March 23, 2024. (Oral; Online)

     

    41. Konduru, R. T., Liang, J., and Miyoshi, T. (2024), Adaptive Observation Error Inflation with the Assimilation of High-Frequency Satellite Observations under an

    OSSE Framework with NICAM-LETKF. The First NCU-RIKEN Joint Workshop on Data Assimilation for Severe Weather Prediction, Taipei, Taiwan, February 29–March 01 2024.

    (Oral)

     

    40. Miyoshi, T., Ohishi, S., Liang, J., Konduru, R. T., Otsuka, S., Kotsuki, S., Tersasaki, K., Okazaki, A., Tomita, H., Kanemaru, K., Satoh, M., Yashiro, H., Okamoto, K., Kalnay, E.,

    Kubota, T., and Kachi, M. (2024), Advances and applications of satellite data assimilation of clouds, precipitation and ocean. American Meteorological Society 104th Annual

    Meeting at Baltimore, USA, January 28–February 2, 2024. (Oral)

     

    39. Konduru, R. T., Liang, J., and Miyoshi, T. (2024), Adaptive Observation Error Inflation with the assimilation of high-frequency satellite observations under an OSSE

    framework with NICAM-LETKF. The 6th R-CCS International Symposium Science beyond Fugaku: Classical, Quantum, and AI at Kobe, Japan, January 29–30 2024. (Poster)

     

    38. Oscar, P., Sarangi, C., Kuiry, S. N., and Konduru, R. T. (2024), Improvement in extreme precipitation simulation over India through realistic aerosol and Urban landuse

    representation. at Indian Institute of Technology Madras, Chennai, India, January 29–30 2024. (Poster)

     

    37. Miyoshi, T., Ohishi, S., Liang, J., Konduru, R. T., Otsuka, S., Kotsuki, S., Tersasaki, K., Okazaki, A., Chen, Y-W, Tomita, H., Kanemaru, K., Satoh, M., Yashiro, H., Okamoto, K.,

    Kalnay, E., Kubota, T., and Kachi, M. (2023), Advances and applications of satellite data assimilation of clouds, precipitation and ocean. American Geophysical Union Annual

    Meeting at San Francisco, USA, December 11–15. (Oral)

     

    36. Konduru, R. T., and Bale, R. (2023) Energy cascading during Typhoon and calm weather scenarios over the Urban atmosphere: Insights from CUBE computational fluids