Data Assimilation Trials with Large Scale Observation Data

2017 Fiscal Year Final Research Report

• Project/Area Number: 26289159
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Hydraulic engineering
• Research Institution: University of Tsukuba
• Principal Investigator: ASANUMA Jun 筑波大学, 生命環境系, 教授 (40293261)
• Co-Investigator(Kenkyū-buntansha): 松島 大 千葉工業大学, 創造工学部, 教授 (50250668) ; 馬 文超 筑波大学, アイソトープ環境動態研究センター, 研究員 (60743101) ; 萬 和明 京都大学, 工学研究科, 助教 (90554212)
• Research Collaborator: AIDA Kentaro
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 土壌水分 / 陸面モデル / 陸面同化システム / 粒子フィルター / 地表面熱収支モデル / GCOM-W1 / 地球観測衛星

Outline of Final Research Achievements

Soil moisture spatial distribution observed at Mongolian grassland was analyzed to deduct characteristics of spatiotemporal change. It was found that their spatial variance is largely change over time as well as its mean. The findings warn the uncertainties involved with spatial variability.

A two-layered surface soil moisture model was developed and applied to the data observed at Mongolian grassland with the resulted error of 3.8%. Land surface data assimilation with particle smoothing was developed to test its performance with respect to the given conditions to the system, which suggests flexible initial conditions results in better performance.

Free Research Field

水工学