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Otsuka, S., S. Kotsuki, M. Ohhigashi, and T. Miyoshi, 2019: GSMaP RIKEN Nowcast: Global precipitation nowcasting with data assimilation. J. Meteor. Soc. Japan, 97, Special Edition on Global Precipitation Measurement (GPM): 5th Anniversary,
https://doi.org/10.2151/jmsj.2019-061.
Early Online ReleaseGraphical Abstract with highlights

Plain Language Summary: RIKEN has been running an extrapolation-based nowcasting system for global precipitation in real time since January 2016 using GSMaP NRT. The product, called “GSMaP RIKEN Nowcast (RNC),” is disseminated on a webpage in real time. This paper presents how motion vectors can be derived more accurately, and how data assimilation improves the long-term stability of an advection-diffusion model for extrapolation.

Highlights:

  • Forecast accuracy was gradually and consistently improved by the algorithmic updates that were applied during January 2016 to March 2018. The threat scores increased the most around 40°S and 40°N. A performance drop in the northern hemisphere winter was also reduced by reducing noise in advection.
  • Time series of the ensemble spread showed that an increase in the number of available motion vectors by a system update led to a decrease in the ensemble spread, and vice versa.

New Releases and Graphical Abstracts

JMSJ, 2020, Vol. 98, No.1 (February)  NEW

JMSJ, 2019, Vol. 97, No.6 (December)EOR NEW

JMSJ, 2019, Vol. 97, No.5 (October)New issue