@article {Marra2018,
	title = {Autocorrelation structure of convective rainfall in semiarid-arid climate derived from high-resolution X-Band radar estimates},
	journal = {Atmospheric Research},
	volume = {200},
	year = {2018},
	pages = {126{\textendash}138},
	publisher = {Elsevier},
	abstract = {Small scale rainfall variability is a key factor driving runoff response in fast responding systems, such as mountainous, urban and arid catchments. In this paper, the spatial{\textendash}temporal autocorrelation structure of convective rainfall is derived with extremely high resolutions (60 m, 1 min) using estimates from an X-Band weather radar recently installed in a semiarid-arid area. The 2-dimensional spatial autocorrelation of convective rainfall fields and the temporal autocorrelation of point-wise and distributed rainfall fields are examined. The autocorrelation structures are characterized by spatial anisotropy, correlation distances \~ 1.5{\textendash}2.8 km and rarely exceeding 5 km, and time-correlation distances \~ 1.8{\textendash}6.4 min and rarely exceeding 10 min. The observed spatial variability is expected to negatively affect estimates from rain gauges and microwave links rather than satellite and C-/S-Band radars; conversely, the temporal variability is expected to negatively affect remote sensing estimates rather than rain gauges. The presented results provide quantitative information for stochastic weather generators, cloud-resolving models, dryland hydrologic and agricultural models, and multi-sensor merging techniques.},
	keywords = {Arid climate, Autocorrelation, Convective rainfall, Semiarid, X-Band weather radar},
	issn = {01698095},
	doi = {10.1016/j.atmosres.2017.09.020},
	url = {http://dx.doi.org/10.1016/j.atmosres.2017.09.020},
	author = {Marra, Francesco and Morin, Efrat}
}
