1,721,004 research outputs found
Orographic influences in rainfall downscaling
Full text linkThe problem of rainfall downscaling in a mountainous region is discussed, and a simple methodology aimed at introducing spatial heterogeneity induced by orography in downscaling models is proposed. This procedure was calibrated and applied to rainfall data retrieved by the high temporal resolution rain gage network of the Sardinian Hydrological Survey
Space-time scaling in high intensity Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA-COARE) storms
No full textA scale-invariance analysis of rainfall retrieved during the Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA-COARE) campaign is discussed. As already found in the previous Global Atmospheric Research Program (GARP) Atlantic Tropical Experiment (GATE) rainfall data set, these new analyses of high-intensity storms confirm the evidence of scale invariance under self-similar space-time transformations. A simple interpretation of this space-time self-similarity accounting for the hierarchical organization of precipitation patterns is proposed. Finally, a downscaling model based on a log-Poisson generator is calibrated on the results of the multifractal analysis and applied to the generation of synthetic fields, reproducing observed statistical properties over a wide range of space scales and timescales
Space-time Multifractality of Remotely Sensed Rainfall Fields
No full textA methodology aimed at characterizing the scaling properties of precipitation fields in space and time is revised and applied to remotely sensed rainfall data retrieved during two oceanic campaigns (GATE and TOGA-COARE), and a land campaign (TRMM-LBA). The presence of spatial heterogeneity induced by orography is investigated on data retrieved over land (TRMM-LBA): the performed analyses show that the orographic induced heterogeneity seems to be negligible for the examined data. Moreover, the scaling properties observed on rainfall over land are compared with those detected on ocean rainfall for several space-time events. Results of a multifractal analysis enable a common calibration of the STRAIN space-time rainfall downscaling cascade model for the three datasets. Generated synthetic fields preserve the observed rainfall space-time variability
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