Compilation method for 1 km grid data of monthly mean air temperature for quantitative assessments of climate change impacts
Tóm tắt
A new method is proposed to compile 1 km grid data of monthly mean air temperature by dynamically downscaling general circulation model (GCM) data with a regional climate model (RCM). The downscaling method used is a technique referred to as the pseudoglobal warming method to reduce GCM bias. For the grid data, RCM data were corrected with data from an existing meteorological network. The correction model for the RCM bias was developed by stepwise multiple regression analysis using the difference in the monthly mean air temperatures between the observation and RCM output as a dependent variable and the geographical factors as independent variables. Our method corrected the RCM bias from 1.69°C to 0.58°C for the month of August in the 1990s (1990–1999).
Tài liệu tham khảo
Arakawa A, Schubert WH (1974) Interaction of a cumulus cloud ensemble with the large-scale environment, Part I. J Atmos Sci 31:674–701
Blennow K (1998) Modelling minimum air temperature in partially and clear felled forests. Agric For Met 91:223–235
Fowler HJ, Kilsby CG (2007) Using regional climate model data to simulate historical and future river flows in northwest England. Clim Change 80:337–367
Fowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol 27:1547–1578
Hara M, Yoshikane T, Kaswase H, Kimura F (2008) Estimation of the impact of global warming on snow depth in Japan by the pseudo-global-warming method. Hydrological Research Letters. JMSJ 2:61–64
Iizumi T, Hayashi Y, Kimura F (2007) Influence on rice production in Japan from cool and hot summers after global warming. J Agric Meteorol 63(1):11–23
Iizumi T, Nishimori M, Yokozawa M (2008) Combined equations for estimating global solar radiation: projection of radiation field over Japan under global warming conditions by statistical downscaling. Journal of Agricultural Meteorology 64(1):9–23
IPCC (2000) Special Report on Emission Scenarios. Cambridge University Press, UK
Kimura F, Kitoh A (2007) Downscaling by pseudo global warming method, in report of research projection on impact of climate changes on agricultural production system in arid areas, Kyoto, pp 43–46
Lookingbill TR, Urban DL (2003) Spatial estimation of air temperature differences for landscape-scale studies in montane environments. Agric For Met 114:141–151
Louis JF (1979) A parametric model of vertical eddy fluxes in the atmosphere. Bound Layer Meteor 17:187–202
Loveland TR, Reed BC, Brown JF, Ohlen DO, Zhu J, Yang L, Merchant JW (2000) Development of a global land cover characteristics database and IGBP Discover from 1-km AVHRR data. IJRS 21:1303–1330
Matsumura S, Horiguchi I, Tani H, Motoki T (1988) Detection of hazard areas of frost damage using numerical terrestrial data and NOAA/AVHRR data. J Agric Meteorol 44(2):101–110
Mitchell JFB, Johns TC, Eagles M, Ingram WJ, Davis RA (1999) Towards the construction of climate change scenarios. Climatic Change 41:547–581
Nakajima T, Tsukumoto M, Tsushima Y, Numaguti A, Kimura T (2000) Modeling of the radiative process in an atmospheric general circulation model. Appl Opt 39:4869–7878
Pielke RA, Cotton WR, Walko RL, Tremback CJ, Lyons WA, Grasso LD, Nicholls ME, Moran MD, Wesley TJ, Copeland JH (1992) A comprehensive meteorological modeling system—RAMS. Meteorol Atmos Phys 49:69–91
Reynolds RW, Rayner NA, Smith TM, Stokes DC, Wang W (2002) An improved in situ and satellite SST analysis for climate. J Climate 15:1609–1625
Sato T, Kimura F, Kitoh A (2007) Projection of global warming onto regional precipitation over Mongolia using a regional climate model. J Hydrol 333:144–154
Tremback CJ, Kessler R (1985) A surface temperature and moisture parameterization for use in mesoscale numerical models. In preprint: Seventh Conf. on Numerical Weather Prediction, Montreal, QC, Canada, Amer Meteor Soc, pp 355–358
Ueyama H (2004) Estimation of air temperature distribution in Kamogawa by means of a stepwise multiple regression analysis using 50 m mesh topographical data. JASS 20(1):53–63
Ueyama H (2008) Estimating monthly mean air temperature using radiative cooling scale. Thor Appl Climatol 94:175–185
Umetsu T, Kimura K, Nakano K, Hasegawa S, Matsuda H, Oota H, Haga S, Takeda M, Yajima M (1993) Classification of suitable areas for paddy rice cultivars using mesh climatic data 1. Estimation of the safety cropping seasons and suitable areas. Bull Yamagata Agric Exp Stn 27:1–21
Walko RL, Cotton WR, Meyers MP, Harington JY (1995) New RAMS cloud microphysics parameterization. Part 1: the single-moment scheme. Atmos Res 38:29–62
Wood AW, Leung LR, Sridhar V, Lettenmaier DP (2004) Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change 62:189–216
Yoshikane T, Kimura F (2003) Formation mechanism of the simulated SPCZ and Baiu front using a regional climate model. J Atmos Sci 60:2612–2632
Yukimoto S, Noda A, Kitoh A, Sugi M, Kitamura Y, Hosaka M, Shibata K, Maeda S, Uchiyama T (2001) The new meteorological research institute coupled GCM (MRI-CGCM2): model climate and variability. Pap Meteorol Geophys 51(2):47–88