Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Pysteps is an open-source and community-driven Python library for probabilistic precipitation nowcasting, that is, very-short-range forecasting (0–6 h). The aim of pysteps is to serve two different needs. The first is to provide a modular and well-documented framework for researchers interested in d...

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Vydáno v:	Geoscientific Model Development Ročník 12; číslo 10; s. 4185 - 4219
Hlavní autoři:	Pulkkinen, Seppo, Nerini, Daniele, Pérez Hortal, Andrés A., Velasco-Forero, Carlos, Seed, Alan, Germann, Urs, Foresti, Loris
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Katlenburg-Lindau Copernicus GmbH 07.10.2019 Copernicus Publications
Témata:	Computer simulation Early warning systems Emergency warning programs Forecast verification Forecasts and trends Hydrologists Hydrology Libraries Methods Neighborhoods Nowcasting Numerical weather prediction Optical flow (image analysis) Parameter sensitivity Post-production processing Precipitation Precipitation (Meteorology) Probabilistic methods Probability theory Python Python (Programming language) Radar Radar imaging Severe weather Short-range forecasting Warning systems Weather Weather forecasting Germany
ISSN:	1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
On-line přístup:	Získat plný text
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