@article{oai:tokyo-metro-u.repo.nii.ac.jp:00007244,
 author = {Otsuka, Michiko and Matsumoto, Jun and Seko, Hiromu},
 issue = {54},
 journal = {Geographical Reports of Tokyo Metropolitan University},
 month = {},
 note = {This article reviews the current status and ongoing developments in assimilating so-called next generation geostationary satellite data into mesoscale numerical weather forecast systems. While increased quality and quantity of data have brought unprecedented opportunities for data assimilation (DA) to improve initial conditions of mesoscale forecasts, taking full advantage of these high-resolution data, including cloud and precipitation affected weather observations is a challenge for current DA systems. We overview some key issues in the development of the effective utilization of geostationary satellite data in mesoscale forecasts., postprinnt},
 pages = {1--10},
 title = {Geostationary satellite data assimilation in mesoscale forecast systems : A review},
 year = {2019}
}