RainFARM: Rainfall Downscaling by a Filtered Autoregressive Model
- 1 August 2006
- journal article
- Published by American Meteorological Society in Journal of Hydrometeorology
- Vol. 7 (4), 724-738
- https://doi.org/10.1175/jhm517.1
Abstract
A method is introduced for stochastic rainfall downscaling that can be easily applied to the precipitation forecasts provided by meteorological models. Our approach, called the Rainfall Filtered Autoregressive Model (RainFARM), is based on the nonlinear transformation of a Gaussian random field, and it conserves the information present in the rainfall fields at larger scales. The procedure is tested on two radar-measured intense rainfall events, one at midlatitude and the other in the Tropics, and it is shown that the synthetic fields generated by RainFARM have small-scale statistical properties that are consistent with those of the measured precipitation fields. The application of the disaggregation procedure to an example meteorological forecast illustrates how the method can be implemented in operational practice.Keywords
This publication has 44 references indexed in Scilit:
- Space‐time scaling in high‐intensity Tropical Ocean Global Atmosphere Coupled Ocean‐Atmosphere Response Experiment (TOGA‐COARE) stormsWater Resources Research, 2004
- The Uncertainty in the Prediction of Flash Floods in the Northern Mediterranean EnvironmentJournal of Hydrometeorology, 2002
- The Sensitivity of Numerically Simulated Cyclic Mesocyclogenesis to Variations in Model Physical and Computational ParametersMonthly Weather Review, 2002
- A space‐time Neyman‐Scott model of rainfall: Empirical analysis of extremesWater Resources Research, 2002
- Rainfall downscaling in a space‐time multifractal frameworkWater Resources Research, 2000
- Multifractal modeling of anomalous scaling laws in rainfallWater Resources Research, 1999
- Red spectra from white and blue noiseProceedings. Biological sciences, 1999
- Multifractal characterizations of nonstationarity and intermittency in geophysical fields: Observed, retrieved, or simulatedJournal of Geophysical Research: Atmospheres, 1994
- A space‐time stochastic model of rainfall for satellite remote‐sensing studiesJournal of Geophysical Research: Atmospheres, 1987
- Application of spatial Poisson models to air mass thunderstorm rainfallJournal of Geophysical Research, 1987