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Data for Honda et al. entitled "Development of the Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar: Description and Preliminary Evaluation "

Authors: Honda, Takumi;

Data for Honda et al. entitled "Development of the Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar: Description and Preliminary Evaluation "

Abstract

This is the data used for Honda et al. entitled as "Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar". The data includes: (1) Processed data used for plotting (dat4figs_JAMES.tar.gz) (2) Source code for SCALE (scale.tar.gz) (3) Source code for domains 1–3 and the boundary preparation in domain 4 (d3-d4-scale-letkf.tar.gz) (4) Source code for a spin up of domain 4 (d4-spinup-scale-letkf.tar.gz) (5) Source code for data assimilation in domain 4 (scale-letkf-d4.tar.gz) Python scripts for data analysis and plotting (AIP_realtime/python/Fig*_JAMES.py) are available from AIP_realtime-master.zip or https://github.com/takumihonda/AIP_realtime/commit/7e60ff72f2d7d90d79f7dff1bd5e1da7892eff0e All figures with python can be reproduced with the archived minimal data (dat4figs_JAMES.tar.gz).

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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