11:00 〜 11:15
[U03-07] Ultra-High Spatiotemporal Resolution Reconstruction of the Climate around Japan with Large Ensemble of Climate Simulations and Old Documents
★Invited Papers
キーワード：古気候場復元、古日記、データ同化、d4PDF
Many of the old documents in Japan, whether it be private or public, contain the records of weather types (e.g., sunny, cloudy, rainy) on a daily basis. Previous studies have used such records to reconstruct monthly to seasonal mean climate at the point where the document was written. Only a few studies reconstructed point-wise climate on a daily scale due to the difficulty of using such qualitative data. Climate field reconstructions with old documents are also limited.
This study uses an emerging reconstruction technique known as “data assimilation (DA)” to reconstruct daily weather fields with 20 km resolution. The data assimilation merges model simulations and observations based on the dynamic theory and the statistics. This study uses a dataset of large ensemble climate simulations known as d4PDF (database for Policy Decision making for Future Climate Change) as model simulations. The d4PDF provides simulations that are longer than 3000 years, which serves as rich prior information in the context of DA.
In the presentation, we first show the feasibility of the approach, where it is applied to the present climate, and AMeDAS data is used as observations. Then, we show the reconstruction and the evaluation result for the Edo era assimilating old documents data, especially focusing on hydroclimate variables.
This study uses an emerging reconstruction technique known as “data assimilation (DA)” to reconstruct daily weather fields with 20 km resolution. The data assimilation merges model simulations and observations based on the dynamic theory and the statistics. This study uses a dataset of large ensemble climate simulations known as d4PDF (database for Policy Decision making for Future Climate Change) as model simulations. The d4PDF provides simulations that are longer than 3000 years, which serves as rich prior information in the context of DA.
In the presentation, we first show the feasibility of the approach, where it is applied to the present climate, and AMeDAS data is used as observations. Then, we show the reconstruction and the evaluation result for the Edo era assimilating old documents data, especially focusing on hydroclimate variables.