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    Dependence of Large-Scale Precipitation Climatologies on Temporal and Spatial Sampling 

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 005:;page 1099
    Author(s): Hulme, Mike; New, Mark
    Publisher: American Meteorological Society
    Abstract: Large-scale observed precipitation climatologies are needed for a variety of purposes in the fields of climate and environmental modeling. Although new satellite-derived precipitation estimates offer the prospect of ...
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    Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology 

    Source: Journal of Climate:;1999:;volume( 012 ):;issue: 003:;page 829
    Author(s): New, Mark; Hulme, Mike; Jones, Phil
    Publisher: American Meteorological Society
    Abstract: The construction of a 0.5° lat ? 0.5° long surface climatology of global land areas, excluding Antarctica, is described. The climatology represents the period 1961?90 and comprises a suite of nine variables: precipitation, ...
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    Representing Twentieth-Century Space–Time Climate Variability. Part II: Development of 1901–96 Monthly Grids of Terrestrial Surface Climate 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 013:;page 2217
    Author(s): New, Mark; Hulme, Mike; Jones, Phil
    Publisher: American Meteorological Society
    Abstract: The authors describe the construction of a 0.5° lat?long gridded dataset of monthly terrestrial surface climate for the period of 1901?96. The dataset comprises a suite of seven climate elements: precipitation, mean ...
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    Two Approaches to Quantifying Uncertainty in Global Temperature Changes 

    Source: Journal of Climate:;2006:;volume( 019 ):;issue: 019:;page 4785
    Author(s): Lopez, Ana; Tebaldi, Claudia; New, Mark; Stainforth, Dave; Allen, Myles; Kettleborough, Jamie
    Publisher: American Meteorological Society
    Abstract: A Bayesian statistical model developed to produce probabilistic projections of regional climate change using observations and ensembles of general circulation models (GCMs) is applied to evaluate the probability distribution ...
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    Challenges in Quantifying Changes in the Global Water Cycle 

    Source: Bulletin of the American Meteorological Society:;2014:;volume( 096 ):;issue: 007:;page 1097
    Author(s): Hegerl, Gabriele C.; Black, Emily; Allan, Richard P.; Ingram, William J.; Polson, Debbie; Trenberth, Kevin E.; Chadwick, Robin S.; Arkin, Phillip A.; Sarojini, Beena Balan; Becker, Andreas; Dai, Aiguo; Durack, Paul J.; Easterling, David; Fowler, Hayley J.; Kendon, Elizabeth J.; Huffman, George J.; Liu, Chunlei; Marsh, Robert; New, Mark; Osborn, Timothy J.; Skliris, Nikolaos; Stott, Peter A.; Vidale, Pier-Luigi; Wijffels, Susan E.; Wilcox, Laura J.; Willett, Kate M.; Zhang, Xuebin
    Publisher: American Meteorological Society
    Abstract: nderstanding observed changes to the global water cycle is key to predicting future climate changes and their impacts. While many datasets document crucial variables such as precipitation, ocean salinity, runoff, and ...
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