Articles | Volume 12, issue 4
Geosci. Model Dev., 12, 1387–1402, 2019
https://doi.org/10.5194/gmd-12-1387-2019
Geosci. Model Dev., 12, 1387–1402, 2019
https://doi.org/10.5194/gmd-12-1387-2019

Model description paper 09 Apr 2019

Model description paper | 09 Apr 2019

Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1)

Georgy Ayzel et al.

Related authors

RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting
Georgy Ayzel, Tobias Scheffer, and Maik Heistermann
Geosci. Model Dev., 13, 2631–2644, https://doi.org/10.5194/gmd-13-2631-2020,https://doi.org/10.5194/gmd-13-2631-2020, 2020
Short summary
Climate change impact on streamflow in large-scale river basins: projections and their uncertainties sourced from GCMs and RCP scenarios
Olga N. Nasonova, Yeugeniy M. Gusev, Evgeny E. Kovalev, and Georgy V. Ayzel
Proc. IAHS, 379, 139–144, https://doi.org/10.5194/piahs-379-139-2018,https://doi.org/10.5194/piahs-379-139-2018, 2018
Short summary
Coupling physically based and data-driven models for assessing freshwater inflow into the Small Aral Sea
Georgy Ayzel and Alexander Izhitskiy
Proc. IAHS, 379, 151–158, https://doi.org/10.5194/piahs-379-151-2018,https://doi.org/10.5194/piahs-379-151-2018, 2018
Short summary
Impact of possible climate changes on river runoff under different natural conditions
Yeugeniy M. Gusev, Olga N. Nasonova, Evgeny E. Kovalev, and Georgy V. Ayzel
Proc. IAHS, 379, 293–300, https://doi.org/10.5194/piahs-379-293-2018,https://doi.org/10.5194/piahs-379-293-2018, 2018
Short summary

Related subject area

Atmospheric sciences
Atmosphere–ocean–aerosol–chemistry–climate model SOCOLv4.0: description and evaluation
Timofei Sukhodolov, Tatiana Egorova, Andrea Stenke, William T. Ball, Christina Brodowsky, Gabriel Chiodo, Aryeh Feinberg, Marina Friedel, Arseniy Karagodin-Doyennel, Thomas Peter, Jan Sedlacek, Sandro Vattioni, and Eugene Rozanov
Geosci. Model Dev., 14, 5525–5560, https://doi.org/10.5194/gmd-14-5525-2021,https://doi.org/10.5194/gmd-14-5525-2021, 2021
Short summary
Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models
Haipeng Lin, Daniel J. Jacob, Elizabeth W. Lundgren, Melissa P. Sulprizio, Christoph A. Keller, Thibaud M. Fritz, Sebastian D. Eastham, Louisa K. Emmons, Patrick C. Campbell, Barry Baker, Rick D. Saylor, and Raffaele Montuoro
Geosci. Model Dev., 14, 5487–5506, https://doi.org/10.5194/gmd-14-5487-2021,https://doi.org/10.5194/gmd-14-5487-2021, 2021
Short summary
Mesoscale nesting interface of the PALM model system 6.0
Eckhard Kadasch, Matthias Sühring, Tobias Gronemeier, and Siegfried Raasch
Geosci. Model Dev., 14, 5435–5465, https://doi.org/10.5194/gmd-14-5435-2021,https://doi.org/10.5194/gmd-14-5435-2021, 2021
Short summary
Multi-sensor analyses of the skin temperature for the assimilation of satellite radiances in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS, cycle 47R1)
Sebastien Massart, Niels Bormann, Massimo Bonavita, and Cristina Lupu
Geosci. Model Dev., 14, 5467–5485, https://doi.org/10.5194/gmd-14-5467-2021,https://doi.org/10.5194/gmd-14-5467-2021, 2021
Short summary
The Grell–Freitas (GF) convection parameterization: recent developments, extensions, and applications
Saulo R. Freitas, Georg A. Grell, and Haiqin Li
Geosci. Model Dev., 14, 5393–5411, https://doi.org/10.5194/gmd-14-5393-2021,https://doi.org/10.5194/gmd-14-5393-2021, 2021
Short summary

Cited articles

Austin, G. L. and Bellon, A.: The use of digital weather radar records for short-term precipitation forecasting, Q. J. Roy. Meteor. Soc., 100, 658–664, https://doi.org/10.1002/qj.49710042612, 1974. a, b
Ayzel, G.: hydrogo/rainymotion: rainymotion v0.1, Version v0.1, Zenodo, https://doi.org/10.5281/zenodo.2561583, 2019. a
Ayzel, G., Heistermann, M., and Winterrath, T.: rainymotion: python library for radar-based precipitation nowcasting based on optical flow techniques, available at: https://github.com/hydrogo/rainymotion (last access: 28 March 2019), 2019. a, b, c, d
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. a
Bellerby, T. J.: High-resolution 2-D cloud-top advection from geostationary satellite imagery, IEEE T. Geosci. Remote, 44, 3639–3648, https://doi.org/10.1109/TGRS.2006.881117, 2006. a
Download
Short summary
How much will it rain within the next hour? To answer this question, we developed rainymotion – an open source Python software library for precipitation nowcasting. In our benchmark experiments, including a state-of-the-art operational model, rainymotion demonstrated its ability to deliver timely and reliable nowcasts for a broad range of rainfall events. This way, rainymotion can serve as a baseline solution in the field of precipitation nowcasting.