Open Data/Open Source

Program

LETKF

Generic Fortran modules for LETKF and its implementations for specific models (e.g. Lorenz-96, Speedy, WRF...).

SCALE-LETKF

LETKF implementation for a regional atmospheric model SCALE-RM.

Version 5.5.0-v1 (last update: 2024/4/5)

SEIB-PF

SEIB-PF can assimilate Leaf Area Index with SEIB-DGVM (Spatially Explicit Individual Based Dynamic Global Vegetation Model) using Particle Filter.

sbPOM-LETKF

LETKF implementation for a regional ocean model sbPOM.

Precipitation nowcasting

Programs for our precipitation nowcasting system (RIKEN nowcast). We use a kinematic approach based on an advection equation and a data-driven approach based on motion of precipitation pattern. To improve the system further, we are investigating a deep-learning-based algorithm.

ML for weather forecasting

Working with us

Please contact us if you are interested in working on cutting-edge data assimilation research.

Concerns about living in Japan? RIKEN has support for non-Japanese scientists. https://www.riken.jp/en/community/

Data Assimilation Research Team

7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
RIKEN Center for Computational Science (R-CCS) Data Assimilation Research Team

E-mail: da-team-desk(please remove here)@ml.riken.jp

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