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A global empirical system for probabilistic seasonal climate prediction
Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...
JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3971 | doi: doi:10.5194/gmd-8-3947-2015
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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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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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Global hotspots in soil moisture-based drought trends
Decreasing soil moisture and increasing frequency and intensity of soil drought episodes are amon...
Jan Řehoř, , Miroslav Trnka, . Rudolf Brazdil, Milan Fischer, Jan Balek, Gerard van der Schrier and Song Feng | Journal: Environmental Research Letters | Volume: 19 | Year: 2024 | First page: 014021 | doi: 10.1088/1748-9326/ad0f01
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Direct Retrieval of NO2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network
Satellite retrievals of columnar nitrogen dioxide (NO2) are essential for the characterization of...
Li, C., Xu, X., Liu, X., Wang, J., Sun, K., van Geffen, J., Zhu, Q., Ma, J., Jin, J., Qin, K., He, Q., Xie, P., Ren, B. and Cohen, R. C. | Journal: JOURNAL OF REMOTE SENSING | Year: 2022 | doi: https://doi.org/10.34133/2022/9817134
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