27 citations as recorded by crossref.

1. Daily quantitative precipitation forecasts based on the analogue method: Improvements and application to a French large river basin A. Ben Daoud et al. 10.1016/j.atmosres.2015.09.015
2. Impact of global atmospheric reanalyses on statistical precipitation downscaling P. Horton & S. Brönnimann 10.1007/s00382-018-4442-6
3. SCOPE Climate: a 142-year daily high-resolution ensemble meteorological reconstruction dataset over France L. Caillouet et al. 10.5194/essd-11-241-2019
4. Intercomparison of statistical and dynamical downscaling models under the EURO- and MED-CORDEX initiative framework: present climate evaluations P. Vaittinada Ayar et al. 10.1007/s00382-015-2647-5
5. Bias correction and downscaling of future RCM precipitation projections using a MOS-Analog technique M. Turco et al. 10.1002/2016JD025724
6. A neural network ensemble downscaling system (SIBILLA) for seasonal forecasts over Italy: winter case studies S. Amendola et al. 10.1002/met.1615
7. Evaluation of different large-scale predictor-based statistical downscaling models in simulating zone-wise monsoon precipitation over India J. Akhter et al. 10.1002/joc.5822
8. Transferability in the future climate of a statistical downscaling method for precipitation in France G. Dayon et al. 10.1002/2014JD022236
9. The analogue method for precipitation prediction: finding better analogue situations at a sub-daily time step P. Horton et al. 10.5194/hess-21-3307-2017
10. Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France L. Caillouet et al. 10.5194/cp-12-635-2016
11. Explaining Rainfall Accumulations over Several Days in the French Alps Using Low-Dimensional Atmospheric Predictors Based on Analogy J. Blanchet & J. Creutin 10.1175/JAMC-D-19-0112.1
12. Uncertainties of statistical downscaling from predictor selection: Equifinality and transferability G. Fu et al. 10.1016/j.atmosres.2017.12.008
13. AtmoSwing: Analog Technique Model for Statistical Weather forecastING and downscalING (v2.1.0) P. Horton 10.5194/gmd-12-2915-2019
14. Spatial coherence of extreme precipitation events in the Northwestern United States L. Parker & J. Abatzoglou 10.1002/joc.4504
15. Statistical Downscaling of Urban-scale Air Temperatures Using an Analog Model Output Statistics Technique Y. Shin & C. Yi 10.3390/atmos10080427
16. Streamflow variability over the 1881–2011 period in northern Québec: comparison of hydrological reconstructions based on tree rings and geopotential height field reanalysis P. Brigode et al. 10.5194/cp-12-1785-2016
17. Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters C. Yi & H. Yang 10.3390/atmos11090920
18. Global Optimization of an Analog Method by Means of Genetic Algorithms P. Horton et al. 10.1175/MWR-D-16-0093.1
19. A framework for high‐resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions A. Devers et al. 10.1002/qj.3663
20. Role of circulation in European heatwaves using flow analogues A. Jézéquel et al. 10.1007/s00382-017-3667-0
21. Using genetic algorithms to optimize the analogue method for precipitation prediction in the Swiss Alps P. Horton et al. 10.1016/j.jhydrol.2017.04.017
22. Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France L. Caillouet et al. 10.5194/cpd-11-4425-2015
23. Spatial Similarity and Transferability of Analog Dates for Precipitation Downscaling over France J. Chardon et al. 10.1175/JCLI-D-13-00464.1
24. An adaptive two-stage analog/regression model for probabilistic prediction of small-scale precipitation in France J. Chardon et al. 10.5194/hess-22-265-2018
25. Exploiting the spatial pattern of daily precipitation in the analog method for regional temporal disaggregation J. Carreau et al. 10.1016/j.jhydrol.2018.11.023
26. Atmospheric analogues for physically consistent scenarios of surface weather in Europe and Maghreb D. Raynaud et al. 10.1002/joc.4844
27. How do I know if my forecasts are better? Using benchmarks in hydrological ensemble prediction F. Pappenberger et al. 10.1016/j.jhydrol.2015.01.024