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    Comparison of Water-Related Land Cover Types in Six 1-km Global Land Cover Datasets 

    Source: Journal of Hydrometeorology:;2011:;Volume( 013 ):;issue: 002:;page 649
    Author(s): Nakaegawa, Tosiyuki
    Publisher: American Meteorological Society
    Abstract: and cover classification is a fundamental and vital activity that is helpful for understanding natural dynamics and the human impacts of land surface processes. Available multiple 1-km global land cover datasets have been ...
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    Cluster Analysis of the Seasonal Forecast Skill of the NCEP SFM over the Pacific–North America Sector 

    Source: Journal of Climate:;2006:;volume( 019 ):;issue: 001:;page 123
    Author(s): Nakaegawa, Tosiyuki; Kanamitsu, Masao
    Publisher: American Meteorological Society
    Abstract: Cluster analysis was used to study seasonal forecast skills of the winter season NCEP seasonal forecast model (SFM) hindcasts over the Pacific?North America (PNA) sector. Two skill scores based on cluster mean and ensemble ...
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    Interdecadal Trend of Prediction Skill in an Ensemble AMIP-Type Experiment 

    Source: Journal of Climate:;2004:;volume( 017 ):;issue: 014:;page 2881
    Author(s): Nakaegawa, Tosiyuki; Kanamitsu, Masao; Smith, Thomas M.
    Publisher: American Meteorological Society
    Abstract: This study addresses the interdecadal trend in potential skill score as estimated from the 500-hPa height temporal correlation coefficient (TCC), based on a 50-yr 10-member ensemble GCM integration with observed SST. The ...
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    Investigation of Climatological Onset and Withdrawal of the Rainy Season in Panama Based on a Daily Gridded Precipitation Dataset with a High Horizontal Resolution 

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 007:;page 2745
    Author(s): Nakaegawa, Tosiyuki; Arakawa, Osamu; Kamiguchi, Kenji
    Publisher: American Meteorological Society
    Abstract: he present study investigated the onset and withdrawal dates of the rainy season in Panama by using newly developed, gridded, daily precipitation datasets with a high horizontal resolution of 0.05° based on ground precipitation ...
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