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dispel4py: An agile framework for data-intensive escience
We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...
Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40
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Contribution of Dynamic Vegetation Phenology to Decadal Climate Predictability
In this study, the impact of coupling and initializing the leaf area index from the dynamic veget...
M Weiss, PA Miller, BJJM van den Hurk, T van Noije, S Ştefănescu, RJ Haarsma, LH van Ulft, W Hazeleger, P Le Sager, B Smith, G Schurgers | Status: published | Journal: J. Clim. | Volume: 27 | Year: 2014 | First page: 8563 | Last page: 8577 | doi: 10.1175/JCLI-D-13-00684.1
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Tropospheric ozone and its precursors: reanalysis over the past 45 years and projections for 2030
Within the EU project RETRO a reconstruction is made of the chemical composition of the troposphe...
T van Noije, PFJ van Velthoven | Status: published | Journal: Environ. Sci. | Volume: 2 | Year: 2005 | First page: 235 | Last page: 240 | doi: 10.1080/15693430500384382
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climate scenarios for impact studies in the Netherlands update WB21
These scenarios described here are an update from the WB21 [1] scenarios. Originally formulated f...
G.P. Können | Year: 2001 | Pages: 6
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A simple model for predicting the statistics of spatiotemporal extremes of sub-daily precipitation
For a single site (of a rain gauge, say), the statistics of extreme precipitation are convenientl...
Cees de Valk, Aart Overeem | Journal: Weather and Climate Extremes | Volume: 36 | Year: 2022 | First page: 1 | Last page: 12 | doi: 10.1016/j.wace.2022.100424
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