Profiles and Activities
Profile
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Courses In Charge
| Environment monitoring |
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| This lecture overviews basic methods to observe meteorological phenomena that occurs in a planetary boundary layer. Fundamental theory and application examples are served, taking plot- and regional scale observation as examples. |
| Environment modelling |
| This lecture aims to understand how atmospheric motions are expressed in mathematical forms. Major topics are, basic conservation laws, balanced flows, and circulations. |
| Advanced environment modeling I, II |
| This lecture aims to understand statistical modeling that is applied in an environmental research field. One of the major modeling in recent decades, Bayesian inference, is introduced in the lecture. Also, data assimilation and its application in a meteorological study field are shown in this lecture. |
Main Research
| The atmoshere-forest-soil interactions in the polar region |
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| Surface warming in the polar region is greater than that in other regions, suggesting an importance of detailed understanding for both of current and future conditions. In Siberia, larch forest and permafrost consist symbiotic relationships. The relationships strongly controls regional meteorology/climatology through vegetation activities. Using numerical models and observational data, we analyze interactions among the atmosphere, forest, and soil for polar region. |
| An assessment of climate change impact on agricultural field |
| We estimate impacts of climate change on 1) surface meteorological factors (temperature, precipitation, humidity, ...) and 2) agricultural fields (rice yields, high- or low-temperature stresses). Using atmospheric and agricultural models, we simulate the impact with an interdisciplinary approach. |
Introduction of Laboratory
| FY2015 is the first year for our laboratory. Our major target is "applied meteorology", which uses environmental data not only for meteorology but also for related fields (such as agricultural meteorology). Numerical simulations are centered approach, but other methods, such as remote sensing or plot observation, are major approaches as well. |
Recent Writings, etc.
| 1. | Yoshida, R., Fukui, S., Shimada, T., Hasegawa T., Ishigooka Y., Takayabu I., and Iwasaki T., An evaluation of rice adaptation to climate change through a cultivar-based simulation: A possible cultivar shift in eastern Japan. Clim. Res., doi:10.3354/cr01320 (in press) |
| 2. | Yoshida, R., Onodera, Y., Tojo, T., Yamazaki, T., Kanno, H., Takayabu, I., and Suzuki-Parker A., An application of a physical vegetation model to estimate climate change impact on rice leaf wetness. J. Appl. Meteorol. clim., 54, 1482-1495, doi:10.1175/JAMC-D-14-0219.1, 2015. |
| 3. | Yoshida, R., Iizumi, T., and Nishimori, M. Impact functions for land-use-induced surface warming, and their applications in uncertainty analysis. Clim. Res., 59, 77-87, doi: 10.3354/cr01208, 2014. |