@article {ipa|Comparing methods for the approximation of rainfall fields in environmental applications|2016,
	title = {Comparing methods for the approximation of rainfall fields in environmental applications},
	year = {2016},
	month = {February},
	pages = {26 p.},
	institution = {CNR-IMATI},
	address = {Genova},
	abstract = {<p>Digital environmental data are becoming commonplace and the amount of information they provide is huge, yet complex to process, due to the size, variety, and dynamic nature of the data captured by sensing devices. The paper discusses an evaluation framework for comparing methods to approximate observed rain data, in real conditions of sparsity of the observations. The novelty brought by this experimental study stands in the geographical area and heterogeneity of the data used for evaluation, aspects which challenge all approximation methods. The Liguria region, located in the north-west of Italy, is a complex area for the orography and the closeness to the sea, which cause complex hydro-meteorological events. The observed rain data are highly heterogeneous: two data sets come from measured rain gathered from two different rain gauge networks, with different characteristics and spatial distribution over the Liguria region; the third data set come from weather radar, with a more regular coverage of the same region but a different veracity. Finally, another novelty of the paper is brought by the proposal of an application-oriented perspective on the comparison. The approximation models the rainfield, whose maxima and their evolution is essential for an effective monitoring of meteorological events. Therefore, we adapt a storm tracking technique to the analysis of the displacement of maxima computed by the different methods.</p>
},
	keywords = {Surface approximation},
	url = {http://irs.imati.cnr.it/reports/irs16-10},
	author = {G. Patan{\'e} and A. Cerri and V. Skytt and S. Pittaluga and S. Biasotti and D. Sobrero and T. Dokken and M. Spagnuolo}
}
@article {ipa|Persistence-based tracking of rainfall field maxima|2016,
	title = {Persistence-based tracking of rainfall field maxima},
	year = {2016},
	month = {July},
	pages = {16 p.},
	institution = {CNR-IMATI},
	type = {Working paper},
	address = {Genova},
	abstract = {<p class="rtejustify">In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changes in time may give interesting insights on the evolution of storms. Our approach is based on a topological analysis of rainfall data allowing for the extraction of the most prominent, and hence meaningful, rainfall field maxima. Then, an ad-hoc bottleneck matching is used to track the evolution of maxima along multiple time instances. The potential of our method is exhibited through a set of experiments carried out on a collection of observed punctual rainfall data and radar measurements provided by Genova municipality and Regione Liguria.</p>
},
	keywords = {Storm tracking},
	url = {http://irs.imati.cnr.it/reports/irs16-11},
	author = {D. Sobrero and A. Cerri and S. Biasotti and S. Pittaluga and M. Spagnuolo}
}
