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nhess.copernicus.org
| | egqsj.copernicus.org
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| | esd.copernicus.org
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| | egusphere.copernicus.org
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| | [AI summary] This preprint proposes a roadmap and manifesto for advancing pedotransfer functions (PTFs) to better predict soil hydraulic properties for hydrological and biogeochemical modeling.
| | gmd.copernicus.org
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| Abstract. Quantitative precipitation nowcasting (QPN) has become an essential technique in various application contexts, such as early warning or urban sewage control. A common heuristic prediction approach is to track the motion of precipitation features from a sequence of weather radar images and then to displace the precipitation field to the imminent future (minutes to hours) based on that motion, assuming that the intensity of the features remains constant (Lagrangian persistence). In that context, ...