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    Skillful Seasonal Predictions of Boreal Winter Accumulated Heating Degree-Days and Relevance for the Weather Derivative Market 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;issue: 006:;page 1297
    Author(s): Brands, S.
    Publisher: American Meteorological Society
    Abstract: t is demonstrated that boreal winter accumulated heating degree-days, a weather derivative product that is frequently demanded by energy suppliers (among others), can be skillfully predicted with a lead time of 1 month, ...
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    On the Use of Reanalysis Data for Downscaling 

    Source: Journal of Climate:;2011:;volume( 025 ):;issue: 007:;page 2517
    Author(s): Brands, S.; Gutiérrez, J. M.; Herrera, S.; Cofiño, A. S.
    Publisher: American Meteorological Society
    Abstract: n this study, a worldwide overview on the expected sensitivity of downscaling studies to reanalysis choice is provided. To this end, the similarity of middle-tropospheric variables?which are important for the development ...
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    Seasonal Predictability of Wintertime Precipitation in Europe Using the Snow Advance Index 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 012:;page 4023
    Author(s): Brands, S.; Manzanas, R.; Gutiérrez, J. M.; Cohen, J.
    Publisher: American Meteorological Society
    Abstract: his study tests the applicability of Eurasian snow cover increase in October, as described by the recently published snow advance index (SAI), for forecasting December?February precipitation totals in Europe. On the basis ...
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    Comments on “Global and Regional Comparison of Daily 2-m and 1000-hPa Maximum and Minimum Temperatures in Three Global Reanalyses” 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 022:;page 8004
    Author(s): Brands, S.; Gutiérrez, J. M.; Cofiño, A. S.; Herrera, S.
    Publisher: American Meteorological Society
    Abstract: itman and Perkins claimed that instantaneous 2-m air temperatures from different reanalysis products largely disagree over widespread regions of the globe and that, because of their much smaller differences, temperatures ...
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    Reassessing Model Uncertainty for Regional Projections of Precipitation with an Ensemble of Statistical Downscaling Methods 

    Source: Journal of Climate:;2016:;volume( 030 ):;issue: 001:;page 203
    Author(s): San-Martín, D.;Manzanas, R.;Brands, S.;Herrera, S.;Gutiérrez, J. M.
    Publisher: American Meteorological Society
    Abstract: AbstractThis is the second in a pair of papers in which the performance of statistical downscaling methods (SDMs) is critically reassessed with respect to their robust applicability in climate change studies. Whereas the ...
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    Reassessing Statistical Downscaling Techniques for Their Robust Application under Climate Change Conditions 

    Source: Journal of Climate:;2012:;volume( 026 ):;issue: 001:;page 171
    Author(s): Gutiérrez, J. M.; San-Martín, D.; Brands, S.; Manzanas, R.; Herrera, S.
    Publisher: American Meteorological Society
    Abstract: he performance of statistical downscaling (SD) techniques is critically reassessed with respect to their robust applicability in climate change studies. To this end, in addition to standard accuracy measures and distributional ...
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    Statistical Downscaling in the Tropics Can Be Sensitive to Reanalysis Choice: A Case Study for Precipitation in the Philippines 

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 010:;page 4171
    Author(s): Manzanas, R.; Brands, S.; San-Martín, D.; Lucero, A.; Limbo, C.; Gutiérrez, J. M.
    Publisher: American Meteorological Society
    Abstract: his work shows that local-scale climate projections obtained by means of statistical downscaling are sensitive to the choice of reanalysis used for calibration. To this aim, a generalized linear model (GLM) approach is ...
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