Konduru RakeshTeja ＫｏｎｄｕｒｕＲａｋｅｓｈＴｅｊａ

Researcher Number	10970270
Other IDs	https://orcid.org/0000-0002-1687-2167
Affiliation (Current)	2026: 国立研究開発法人宇宙航空研究開発機構, 第一宇宙技術部門, 研究開発員
Affiliation (based on the past Project Information) *help	2024: 国立研究開発法人理化学研究所, 計算科学研究センター, 特別研究員
Review Section/Research Field	Principal Investigator Basic Section 17020:Atmospheric and hydrospheric sciences-related
Keywords	Principal Investigator Satellite precipitation / NICAM-LETKF / Global data assimilation / Global diurnal rainfall / GsMAP / Precipitation RADAR / Coastal precipitation / Global climate models / Emulator / Machine Learning / Satellite observations / Diurnal cycle

Research Projects
(1 results)
Research Products
(3 results)

Revolutionizing Seamless Precipitation Forecast: Machine Learning-Driven Assimilation of Satellite Precipitation Observations in NICAM-LETKF for Powering Global Diurnal and Heavy Rainfall PredictionsPrincipal Investigator
- Principal Investigator
  
  Konduru RakeshTeja
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 17020:Atmospheric and hydrospheric sciences-related
- Research Institution
  Institute of Physical and Chemical Research

All Presentation

[Presentation] Ubiquitous nature of the diurnal cycle of precipitation and its representation in current generation climate and NWP models2025
- Author(s)
  Konduru, R.T., Matsumoto, J, and Kajikawa, Y.
- Organizer
  Eighth World Meteorological Organization International Workshop on Monsoon
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-24K17129
[Presentation] A new insights on the precipitation emulator DigiPrecip for skillful forecasting.2025
- Author(s)
  Konduru, R.T.
- Organizer
  International workshop on the Southeast Asian monsoon rainfall climatology, Tokyo Metropolitan University
- Invited
- Data Source
  KAKENHI-PROJECT-24K17129
[Presentation] Harnessing Satellite Data Assimilation and Large Eddy Simulations to Unveil Extreme Rainfall Over Urban Skylines.2024
- Author(s)
  Konduru, R. T.
- Organizer
  Science Frontier Geoscience Seminar, School of Science, Osaka Metropolitan University, Osaka
- Invited
- Data Source
  KAKENHI-PROJECT-24K17129