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Stochastic generation of precipitation fraction at high resolution with a multiscale constraint from satellite observations

Guilloteau, Clement and Roca, Remy and Gosset, Marielle and Venugopal, Vuruputur (2018) Stochastic generation of precipitation fraction at high resolution with a multiscale constraint from satellite observations. In: QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 144 (1). pp. 176-190.

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Official URL: https://doi.org/10.1002/qj.3314

Abstract

In this work, we propose a method to generate an ensemble of equiprobable fields of rain occurrence at high resolution (1 degrees/16 and 30 min) using a satellite observational constraint. Satellite observations are used to constrain the spatio-temporal variations of the precipitation fraction at various scales. Spatio-temporal averages at scales coarser than 1 degrees and 8 h are deterministically derived from the satellite observations. At finer scales, variations are partially stochastically generated by perturbation of wavelet coefficients obtained through a three-dimensional discrete Haar wavelet orthogonal decomposition. The proposed method can be viewed either as stochastic weather generation or as stochastic downscaling with a multiscale observational constraint. The observational constraint used here is a high-resolution precipitation index derived from infrared cloud top temperature. As a proof of concept, the method is used here to generate a 300-member annual ensemble covering a 12,000 km(2) area in Burkina Faso in West Africa, with a parametrization derived from ground radar observations. The stochastically generated fields aim at reproducing the multiscale statistical properties of the true precipitation field (as observed by a ground radar). The ensemble mean is an optimal - in terms of mean squared error - estimation of the true precipitation fraction, with the uncertainty quantified by the ensemble dispersion.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to WILEY
Keywords: detection; ensemble generation; multiscale; precipitation; satellite; wavelets
Department/Centre: Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
Depositing User: Id for Latest eprints
Date Deposited: 27 Feb 2019 09:23
Last Modified: 27 Feb 2019 09:23
URI: http://eprints.iisc.ac.in/id/eprint/61844

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