Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2777-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2777-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform
Daniele Nerini
CORRESPONDING AUTHOR
Radar, Satellite and Nowcasting Division, MeteoSwiss,
Locarno-Monti, Switzerland
Institute for Atmospheric and Climate Science, ETH, Zurich,
Switzerland
Nikola Besic
Radar, Satellite and Nowcasting Division, MeteoSwiss,
Locarno-Monti, Switzerland
Environmental Remote Sensing Laboratory, EPFL, Lausanne,
Switzerland
Ioannis Sideris
Radar, Satellite and Nowcasting Division, MeteoSwiss,
Locarno-Monti, Switzerland
Urs Germann
Radar, Satellite and Nowcasting Division, MeteoSwiss,
Locarno-Monti, Switzerland
Loris Foresti
Radar, Satellite and Nowcasting Division, MeteoSwiss,
Locarno-Monti, Switzerland
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- Nonstationary stochastic rain type generation: accounting for climate drivers L. Benoit et al.
- Scale‐dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open‐source pysteps library R. Imhoff et al.
- A quest for precipitation attractors in weather radar archives L. Foresti et al.
- A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors J. Zhou et al.
- Intraday probabilistic forecasts of surface solar radiation with cloud scale-dependent autoregressive advection A. Carpentieri et al.
- NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods I. Sideris et al.
- An Event-Based Stochastic Parametric Rainfall Simulator (ESPRS) for Urban Stormwater Simulation and Performance in a Sponge City Y. Yang et al.
- An Improved Precipitation Nowcasting Algorithm Based on COTREC Method Z. Yang et al.
- Spatial resolutions in areal rainfall estimation and their impact on hydrological simulations of a lowland catchment W. Terink et al.
- Applications of directional wavelets, Universal Multifractals and anisotropic scaling in ensemble nowcasting; a review of methods with case‐studies R. Scovell
- A 10‐year radar‐based analysis of orographic precipitation growth and decay patterns over the Swiss Alpine region L. Foresti et al.
- A Reduced-Space Ensemble Kalman Filter Approach for Flow-Dependent Integration of Radar Extrapolation Nowcasts and NWP Precipitation Ensembles D. Nerini et al.
- A Hybrid Statistical Downscaling Framework Based on Nonstationary Time Series Decomposition and Machine Learning X. Li et al.
- Improving the use of ground-based radar rainfall data for monitoring and predicting floods in the Iguaçu river basin A. Falck et al.
- Information Theory for Non-Stationary Processes with Stationary Increments C. Granero-Belinchón et al.
- Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach A. Ramanathan et al.
- Intensification of Convective Rain Cells at Warmer Temperatures Observed from High-Resolution Weather Radar Data N. Peleg et al.
- A WRF/WRF-Hydro coupling system with an improved structure for rainfall-runoff simulation with mixed runoff generation mechanism W. Wang et al.
- Real-time bias correction of rainfall nowcasts using biward tracking method W. Na & C. Yoo
- Urban hydrological model (UHM) developed for an urban flash flood simulation and analysis of the flood intensity sensitivity to urbanization H. Hu et al.
- Wavelet-Based Detection of Time-Frequency Changes for Monthly Rainfall and SPI Series in Taiwan J. Shiau & Y. Chiu
- Ensemble Spatial Precipitation Analysis From Rain Gauge Data: Methodology and Application in the European Alps C. Frei & F. Isotta
- Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning R. Imhoff et al.
- Reduced Rainfall in Future Heavy Precipitation Events Related to Contracted Rain Area Despite Increased Rain Rate M. Armon et al.
- Stochastic daily rainfall generation on tropical islands with complex topography L. Benoit et al.
- Site-specific projection of rainfall patterns under climate change by joint sparse representation T. Lu et al.
- Designing an inundation monitoring and real-time urban flood forecasting system: a synthetic study V. Tran et al.
- Advancing Space‐Time Simulation of Random Fields: From Storms to Cyclones and Beyond S. Papalexiou et al.
- Stochastic Spectral Method for Radar-Based Probabilistic Precipitation Nowcasting S. Pulkkinen et al.
- Adjustment of Radar‐Gauge Rainfall Discrepancy Due to Raindrop Drift and Evaporation Using the Weather Research and Forecasting Model and Dual‐Polarization Radar Q. Dai et al.
- Optimal Temporal Resolution of Rainfall for Urban Applications and Uncertainty Propagation F. Cecinati et al.
- Lagrangian Integro-Difference Equation Model for Precipitation Nowcasting S. Pulkkinen et al.
- Autocorrelation structure of convective rainfall in semiarid-arid climate derived from high-resolution X-Band radar estimates F. Marra & E. Morin
- SAD: Verifying the scale, anisotropy and direction of precipitation forecasts S. Buschow & P. Friederichs
- A framework for space–time modelling of rainfall events for hydrological applications of weather radar A. Green et al.
- On the Importance of Statistical Homogeneity to the Scaling of Rain A. Jameson
- A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction X. Li & P. Willems
- Kriging‐variance‐based multi‐member ensembles of radar–rain‐gauge precipitation estimates: Application in Switzerland I. Sideris et al.
- Characterisation of the melting layer variability in an Alpine valley based on polarimetric X-band radar scans F. van den Heuvel et al.
- Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach L. Foresti et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Stochastic generators are effective tools for the quantification of uncertainty in a number of applications with weather radar data, including quantitative precipitation estimation and very short-term forecasting. However, most of the current stochastic rainfall field generators cannot handle spatial non-stationarity. We propose an approach based on the short-space Fourier transform, which aims to reproduce the local spatial structure of the observed rainfall fields.
Stochastic generators are effective tools for the quantification of uncertainty in a number of...