Potential of coupled data assimilation studies in cryosphere
Author:
Affiliation:
1. Institute of Arctic Climate and Environment Research, Japan Agency for Marine-Earth Science and Technology
Publisher
Japanese Society of Snow and Ice
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/seppyo/80/2/80_185/_pdf
Reference23 articles.
1. Andreadis, K.M. and Lettenmaier, D. P.(2006):Assimilating remotely sensed snow observations into a macroscale hydrology model. Advances in Water Resources, 29, 872-886, doi: 10.1016/j.advwatres.2005.08.004
2. 淡路敏之,蒲池政文,池田元美,石川洋一(2009):データ同化〜観測・実験とモデルを融合するイノベーション〜,京都大学学術出版会,284 pp.
3. de Rosnay, P., Drusch, M., Vasiljevic, D., Balsamo, G., Albergel, C. and Isaksen, L.(2012):A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWF. Q. J. R. Meteorol. Soc., 139, 1199-1213, doi:10.1002/qj.2023
4. Durand, M., Kim, E. J. and Margulis, S.A.(2009):Radiance assimilation shows promise for snowpack characterization. Geophys. Res. Lett., 36, L02503, doi:10.1029/2008GL035214
5. Fujii, Y., Nakaegawa, T., Matsumoto, S., Yasuda, T., Yamanaka, G. and Kamachi, M.(2009):Coupled Climate Simulation by Constraining Ocean Fields in a Coupled Model with Ocean Data. J. Climate, 22, 5541-5557, doi:10.1175/2009JCLI2814.1
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