English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Estimation of seasonal snow mass balance in Japan with a high-resolution snow cover simulation system by Japan Meteorological Agency

Authors

Niwano,  Masashi
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Suya,  Masami
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Nagaya,  Koichi
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Yamaguchi,  Satoru
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Matoba,  Sumito
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Harada,  Ikuo
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Ohkawara,  Nozomu
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Niwano, M., Suya, M., Nagaya, K., Yamaguchi, S., Matoba, S., Harada, I., Ohkawara, N. (2023): Estimation of seasonal snow mass balance in Japan with a high-resolution snow cover simulation system by Japan Meteorological Agency, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3167


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020484
Abstract
The coastal areas in Japan that face the Sea of Japan is exposed to the cold and dry winter northwesterly monsoon. This air flow obtains large amount of moisture from the relatively warm Sea of Japan, resulting in enormous snowfall and snow water equivalent (SWE) especially in the mountainous region. However, reliable quantitative information on seasonal snow cover in Japan is still lacking. These motivated us to develop a coupled system that consists of the Japan Meteorological Agency (JMA)’s operational convection-permitting regional atmospheric model Local Forecast Model (LFM), Radar/Raingauge-Analyzed Precipitation (R/A) data, as well as the snow physics model Snow Metamorphism and Albedo Process (SMAP). The horizontal resolution of the current system is 1 km. We have evaluated the system in terms of SWE and confirmed that the obtained normalized root mean square error and normalized bias fall within the range of the snow model performances previously reported by the ESM-SnowMIP project. Numerical model simulations with the system during the 2017–2022 winters indicate that the seasonal peak area-integrated SWE in Japan reaches 42.2 Gt on average. It is unveiled that the 2017–2022 five-year-averaged March snow-covered-area-average SWE is 228 mm, which is 2.3 times higher than the 1980–2018 snow-covered-area-average SWE for the Northern Hemisphere above 40° N. We also highlight that the system has been used in JMA operationally since the 2022–2023 winter, where Snow Depth Analysis and Snowfall Amount Analysis, and Very Short-range Forecasts of Snow with a spatial resolution of 5km are issued hourly (https://www.jma.go.jp/bosai/en_snow/).