| Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2020: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2019: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2018: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)
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| Outline of Final Research Achievements |
This study aims at exploring advanced methods to assimilate hydrological observations into the global data assimilation system for improving medium-range weather/hydrological forecasts. With operational global atmospheric data assimilation system NICAM-LETKF, we have reached to following achievements:
(1) We have pioneered a method for effectively assimilating soil moisture observations from GLDAS to NICAM by strongly coupled data assimilation. It was shown that updating atmospheric variables by soil moisture assimilation was beneficial, while the updating of land surface variables by atmospheric variable assimilation has was unbeneficial. (2) We explored to NICAM model parameter estimations by assimilation of satellite-sensed hydrological observations. GSMaP-based parameter estimation improved precipitation forecasts, and GCOM2_AMSR2-based parameter estimation improved radiation budgets successfully.
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