NAME = Kooiti Masuda ORGANIZATION = Frontier Research Center for Global Change, JAMSTEC ADDRESS = 3173-25 Showa, Kanazawa-ku, Yokohama 236-0001 COUNTRY = Japan PHONE = +81-45-778-5538 FAX = +81-45-778-5706 E-MAIL = masuda@jamstec.go.jp POSTER_ONLY = no THEME = T5 DATE = 05-Aug-04-15:20:47 ABSID = T5KM05Aug04152047 TITLE = A review of GAME data in the perspective of water and energy balance study AUTHOR_1 = Kooiti Masuda INSTITUTION_1 = FRCGC, JAMSTEC PRESENTER = AUTHOR_1 ABSTRACT = To study global energy and water cycle we mainly use global data sets, but we also need to evaluate and improve them by using more data from regional and/or experimental observations such as GAME. Here I review several achievements of GAME relevant to global water and energy balance study. (1) GAME Reanalysis is produced by a collaboration based at Meteorological Research Institute of Japan Meteorological Agency. It is global meteorological data assimilation taking experimental observations of GAME, SCSMEX and others as well as routine observations. It covers 7 months (April to October 1998). Monthly mean precipitation of the product (model forecasts) is less biased in many regions of the world than other reanalysis products. The data set was successfully used in an atmospheric energy budget study around Tibetan Plateau (Ueda et al.) and a study of sources of water vapor in Southeast Asia (Yoshimura et al.) (2) Daily precipitation data have been contributed to GAME from operational agencies of many countries of Asia. With the enhanced coverage, spatial features of precipitation in Southeast Asia related to orography are revealed much better than in currently available global data sets. The difference of data has large impact on water balance in some areas such as the upper Irrawaddy river basin (though station coverage seems to be not yet sufficient there). (3) AAN (Asian Automated weather station Network) has made continuous observations of surface energy fluxes at various locations in Asia. GAME-Radiation and later SKYNET have made precise observations of radiative fluxes at the surface. Comparison of these in-situ data with global data products (either satellite retrievals or data assimilation products) is useful for evaluation of global products. The difference may also due to representativeness problems of in-situ observations, however. We need more case studies to have better understanding and eventually improve the global data sets.