Pubblicazioni

@article{https://doi.org/10.1016/j.advwatres.2024.104623,

title = {HydroCAL: A novel integrated surface–subsurface hydrological model based on the Cellular Automata paradigm},

author = {Luca Furnari and Alessio De Rango and Alfonso Senatore and Giuseppe Mendicino},

url = {https://www.sciencedirect.com/science/article/pii/S0309170824000101},

doi = {https://doi.org/10.1016/j.advwatres.2024.104623},

issn = {0309-1708},

year  = {2024},

date = {2024-01-01},

journal = {Advances in Water Resources},

volume = {185},

pages = {104623},

abstract = {Integrated Surface–Subsurface Hydrological Models (ISSHMs) are advanced tools for reproducing hydrological processes that are difficult to manage due to their complexity and computational cost. This paper introduces HydroCAL (Hydrological Cellular Automata Layer), an event-based spatially distributed ISSHM entirely based on the Cellular Automata (CA) paradigm through the OpenCAL software library. The primary benefit of the CA paradigm is reducing the computational burden through parallelisation and other specific optimisation features, like asynchronous functionality. HydroCAL was tested on literature benchmarks and, for the first time, considering real events in a headwater catchment, correctly reproducing streamflow (NSE = 0.86; KGE = 0.88) and providing a fully spatially distributed output of several other hydrological variables. The combined effect of parallelisation and a novel version of the asynchronous functionality accounting for spatially distributed soil hydraulic properties significantly reduces the elapsed time in real-world applications. The results suggest that HydroCAL is suitable for simulating the hydrological cycle over large watersheds while keeping a hyper-resolution detail.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1016/j.ejrh.2024.101950,

title = {Testing trends in gridded rainfall datasets at relevant hydrological scales: A comparative study with regional ground observations in Southern Italy},

author = {Carmelo Cammalleri and Awais Naeem Sarwar and Angelo Avino and Gholamreza Nikravesh and Brunella Bonaccorso and Giuseppe Mendicino and Alfonso Senatore and Salvatore Manfreda},

url = {https://www.sciencedirect.com/science/article/pii/S2214581824002994},

doi = {https://doi.org/10.1016/j.ejrh.2024.101950},

issn = {2214-5818},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Hydrology: Regional Studies},

volume = {55},

pages = {101950},

abstract = {Study region 

In this study, we compared the spatiotemporal evolution of rainfall trends in E-OBS and ERA5 to those detected using historical rainfall series recorded by ground-based networks in Southern Italy. In particular, the study is applied to the Campania, Basilicata, Apulia, Calabria and Sicily regions (84,000 km2 in total) on seasonal and annual scales. 

Study focus 

Meteorological gridded datasets at large spatial scales are widely used in many hydroclimatic applications as they provide long and spatially homogeneous records. Regional trend analyses based on these data need to be treated with caution due to some potential limitations at relevant hydrological scales, such as the coarse spatial resolution and the spatio-temporal inhomogeneity of the underlying data. Gradual trends and abrupt change points were studied on rainfall data from 1979 to 2019. 

New hydrological insights for the region 

Both gridded datasets capture the major trends in observed rainfall, with a predominance of positive values driven by changes in September-November. Overall, ERA5 returns flatter results compared to E-OBS, with the former comparing well with observations in Sicily and Apulia, while the latter is performing well in Campania and partially in Calabria and Basilicata. Most statistically significant trends are associated with discontinuities in the early 2000s, and this is well captured by both ground and gridded datasets. The general behavior in inter-annual variability trends in Southern Italy is captured by both datasets, with ERA5 also detecting regional patterns.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3389/fclim.2024.1368413,

title = {Climate projections of the Adriatic Sea: role of river release},

author = {Giorgia Verri and Luca Furnari and Murat Gunduz and Alfonso Senatore and Vladimir Santos da Costa and Alessandro De Lorenzis and Giusy Fedele and Ilenia Manco and Lorenzo Mentaschi and Emanuela Clementi and Giovanni Coppini and Paola Mercogliano and Giuseppe Mendicino and Nadia Pinardi},

url = {https://www.frontiersin.org/journals/climate/articles/10.3389/fclim.2024.1368413},

doi = {https://doi.org/10.3389/fclim.2024.1368413},

issn = {2624-9553},

year  = {2024},

date = {2024-01-01},

journal = {Frontiers in Climate},

volume = {6},

abstract = {<p>The Adriatic Sea, characterized by unique local features in comparison to the broader Mediterranean Sea, stands out as a highly susceptible region to climate change. In this context, our study involves a focused climate downscaling approach, concentrating on the Adriatic water cycle. This encompasses integrated modeling at the mesoscale, covering the atmosphere, hydrology, and marine general circulation. The study period spans from 1992 to 2050, considering the high emission scenario RCP8.5. We aim at evaluating how the river release projection affects the local density stratification and the sea level rise. Indeed, the river release is found to decrease by approximately 35% in the mid-term future and condition the stratification of the water column with differences between the Northern and Southern sub-basins. The projected runoff decrease has a major impact on the Northern sub-basin, where the stratification is haline-dominated and the foreseen salinization prevails on the heating through the whole water column. Conversely, the runoff decrease has a lower impact on the Southern sub-basin, where the future changes of other mechanisms may play a major role, e.g., the changing properties of the Mediterranean water entering the Otranto Strait and the foreseen heating prevails on the salinization from the intermediate to deep water column. The study provides the first evidence of how the decreasing river discharge locally reduces the density stratification, increases the dense water, and mitigates the sea level rise in the Northern Adriatic Sea, thus acting in the opposite direction to the global warming. To minimize uncertainty in coastal ocean projections around the world, it is essential that the climate downscaling integrates high-resolution hydrology and hydrodynamics models to correctly reproduce the link between surface buoyancy and stratification and the resulting dynamics.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1029/2022WR034397,

title = {Seasonal and Storm Event-Based Dynamics of Dissolved Organic Carbon (DOC) Concentration in a Mediterranean Headwater Catchment},

author = {Alfonso Senatore and Giuseppina A. Corrente and Eugenio L. Argento and Jessica Castagna and Massimo Micieli and Giuseppe Mendicino and Amerigo Beneduci and Gianluca Botter},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2022WR034397},

doi = {https://doi.org/10.1029/2022WR034397},

year  = {2023},

date = {2023-01-01},

journal = {Water Resources Research},

volume = {59},

number = {11},

pages = {e2022WR034397},

abstract = {Abstract This study investigates the spatial and temporal dynamics of Dissolved Organic carbon (DOC) concentration in a Mediterranean headwater catchment (Turbolo River catchment, southern Italy) equipped with two multi-parameter sondes providing more than two-year (May 2019–November 2021) continuous high-frequency measurements of several DOC-related parameters. The sondes were installed in two nested sections, a quasi-pristine upstream sub-catchment and a downstream outlet with anthropogenic water quality disturbances. DOC estimates were achieved by correcting the fluorescent dissolved organic matter—fDOM—values through an original procedure not requiring extensive laboratory measurements. Then, DOC dynamics at the seasonal and storm event scales were analyzed. At the seasonal scale, results confirmed the climate control on DOC production, with increasing background concentrations in hot and dry summer months. The hydrological regulation proved crucial for DOC mobilization and export, with the top 10th percentile of discharge associated with up to 79% of the total DOC yield. The analysis at the storm scale using flushing and hysteresis indices highlighted substantial differences between the two catchments. In the steeper upstream catchment, the limited capability of preserving hydraulic connection over time with DOC sources determined the prevalence of transport as the limiting factor to DOC export. In the downstream catchment, transport- and source-limited processes were observed almost equally. The correlation between the hysteretic behavior and antecedent precipitation was not linear since the process reverted to transport-limited for high accumulated rainfall values. Exploiting high-resolution measurements, the study provided insights into DOC export dynamics in nested headwater catchments at multiple time scales.},

note = {e2022WR034397 2022WR034397},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/s11227-023-05043-3,

title = {Tailoring load balancing of cellular automata parallel execution to the case of a two-dimensional partitioned domain},

author = {Alessio De Rango and Andrea Giordano and Giuseppe Mendicino and Rocco Rongo and William Spataro},

url = {https://link.springer.com/article/10.1007/s11227-023-05043-3},

doi = {https://doi.org/10.1007/s11227-023-05043-3},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Supercomputing},

volume = {79},

number = {8},

pages = {9273 – 9287},

note = {Cited by: 1; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/s11869-022-01300-1,

title = {Uncertainty assessment of remote sensing- and ground-based methods to estimate wildfire emissions: a case study in Calabria region (Italy)},

author = {Jessica Castagna and Alfonso Senatore and Guido Pellis and Marina Vitullo and Mariantonia Bencardino and Giuseppe Mendicino},

url = {https://link.springer.com/article/10.1007/s11869-022-01300-1},

doi = {https://doi.org/10.1007/s11869-022-01300-1},

year  = {2023},

date = {2023-01-01},

journal = {Air Quality, Atmosphere and Health},

volume = {16},

number = {4},

pages = {705 – 717},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1080/02626667.2023.2217332,

title = {A dynamic approach for assessing climate change impacts on drought: an analysis in Southern Italy},

author = {David J. Peres and Brunella Bonaccorso and Nunziarita Palazzolo and Antonino Cancelliere and Giuseppe Mendicino and Alfonso Senatore},

url = {https://www.tandfonline.com/doi/full/10.1080/02626667.2023.2217332},

doi = {https://doi.org/10.1080/02626667.2023.2217332},

year  = {2023},

date = {2023-01-01},

journal = {Hydrological Sciences Journal},

volume = {68},

number = {9},

pages = {1213 – 1228},

note = {All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5055/jem.0706,

title = {A modular approach for vulnerability assessment in Southern Italy: A forest fire hazard scenario},

author = {Roberta Maletta and Giuseppe Mendicino},

url = {https://pubmed.ncbi.nlm.nih.gov/36326349/},

doi = {https://doi.org/10.5055/jem.0706},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Emergency Management},

volume = {20},

number = {5},

pages = {381 – 403},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1002/hyp.14780,

title = {Preface – special issue on “coupled atmosphere-hydrological processes: Novel system developments and cross-compartment evaluations”},

author = {Alfonso Senatore and David J. Gochis and Harald Kunstmann and Molly McAllister and Giuseppe Mendicino},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/hyp.14780},

doi = {https://doi.org/10.1002/hyp.14780},

year  = {2022},

date = {2022-01-01},

journal = {Hydrological Processes},

volume = {36},

number = {12},

pages = {e14780},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1002/met.2101,

title = {Forecasting extreme precipitation in the central Mediterranean: Changes in predictors' strength with prediction lead time},

author = {Nikolaos Mastrantonas and Luca Furnari and Linus Magnusson and Alfonso Senatore and Giuseppe Mendicino and Florian Pappenberger and Jörg Matschullat},

url = {https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/met.2101},

doi = {https://doi.org/10.1002/met.2101},

year  = {2022},

date = {2022-01-01},

journal = {Meteorological Applications},

volume = {29},

number = {6},

pages = {e2101},

abstract = {Abstract This work compares forecasting strategies for improving the prediction of extreme precipitation events at different timescales. Our study focuses on forecasting extreme precipitation in Calabria, southern Italy. This region with complex and abruptly varying topography poses additional challenges in forecasting precipitation. Here, we use gridded observational precipitation data from the E-OBS dataset, reanalysis data from ERA5, and forecasts from ECMWF reforecasts. We show that different forecasting horizons require different forecasting strategies. For short to medium-range lead times, post-processing the forecasted extreme precipitation probabilities provides the most informative outputs for end users. For extended-range forecasts though, it is beneficial to use the large-scale weather variability, as depicted based on nine Mediterranean patterns in combination with moisture-related information, to infer reliable information about extreme precipitation. We present benefits and limitations of the methods based on long-term statistical analysis using a range of indicators, such as the Brier skill score and its decomposition, and the cost–loss model.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1029/2021WR031344,

title = {Probabilistic Description of Streamflow and Active Length Regimes in Rivers},

author = {Nicola Durighetto and Veronica Mariotto and Francesca Zanetti and Kevin J. McGuire and Giuseppe Mendicino and Alfonso Senatore and Gianluca Botter},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021WR031344},

doi = {https://doi.org/10.1029/2021WR031344},

year  = {2022},

date = {2022-01-01},

journal = {Water Resources Research},

volume = {58},

number = {4},

pages = {e2021WR031344},

abstract = {Abstract In spite of the prevalence of temporary rivers over a wide range of climatic conditions, they represent a relatively understudied fraction of the global river network. Here, we exploit a well-established hydrological model and a derived distribution approach to develop a coupled probabilistic description for the dynamics of the catchment discharge and the corresponding active network length. Analytical expressions for the flow duration curve (FDC) and the stream length duration curve (SLDC) were derived and used to provide a consistent classification of streamflow and active length regimes in temporary rivers. Two distinct streamflow regimes (persistent and erratic) and three different types of active length regimes (ephemeral, perennial, and ephemeral de facto) were identified depending on the value of two dimensionless parameters. These key parameters, which are related to the underlying streamflow fluctuations and the sensitivity of active length to changes in the catchment discharge (here quantified by the scaling exponent b), originate seven different behavioral classes characterized by contrasting shapes of the underlying SLDCs and FDCs. The analytical model was tested using data gathered in three study catchments located in Italy and USA, with satisfactory model performances in most cases. Our analytical and empirical results show the existence of a structural relationship between streamflow and active length regimes, which is chiefly modulated by the scaling exponent b. The proposed framework represents a promising tool for the coupled analysis of discharge and river network length dynamics in temporary streams.},

note = {e2021WR031344 2021WR031344},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.ejrh.2022.101120,

title = {Evaluating the uncertainty of climate model structure and bias correction on the hydrological impact of projected climate change in a Mediterranean catchment},

author = {Alfonso Senatore and Domenico Fuoco and Mario Maiolo and Giuseppe Mendicino and Gerhard Smiatek and Harald Kunstmann},

url = {https://www.sciencedirect.com/science/article/pii/S2214581822001331},

doi = {https://doi.org/10.1016/j.ejrh.2022.101120},

issn = {2214-5818},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Hydrology: Regional Studies},

volume = {42},

pages = {101120},

abstract = {Study region 

Crati River Basin, Southern Italy, Central Mediterranean. 

Study focus 

We evaluate the combined effect of multiple global and regional climate model (GCM-RCM) combinations and bias correction (BC) methods on the hydrological impact of projected climate change. Under the representative concentration pathway RCP4.5, 15 EURO-CORDEX members, combining 6 GCMs and five high-resolution (0.11°) RCMs, provide the meteorological input for a spatially distributed hydrological model. RCM-derived input data are uncorrected and corrected through three empirical methods, leading to 60 different simulations for three ~30-year future periods in 2020–2096, compared to the baseline 1975–2005. The combined uncertainty of the climate models and correction methods is evaluated for the main hydrological variables using an analysis of variance (ANOVA) method. 

New hydrological insights for the region 

Results highlight a considerable agreement in projecting a decreasing trend of available water resources (on average, −70 % for snow, −8 % for root zone soil moisture and −17 % for river runoff in the period 2070–2096), due to the remarkable mean temperature increase and less accentuated precipitation reduction. The uncertainty evaluation shows that (1) the primary source of uncertainty is the driving GCM, and (2) BC methods smooth the projected hydrological impact in a not negligible way, especially concerning discharge (for each future period, the reduction projected without bias correction is about 3 % higher than with BC), therefore contributing to the total uncertainty.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1002/hyp.14503,

title = {Fully coupled high-resolution medium-range forecasts: Evaluation of the hydrometeorological impact in an ensemble framework},

author = {Luca Furnari and Linus Magnusson and Giuseppe Mendicino and Alfonso Senatore},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/hyp.14503},

doi = {https://doi.org/10.1002/hyp.14503},

year  = {2022},

date = {2022-01-01},

journal = {Hydrological Processes},

volume = {36},

number = {2},

pages = {e14503},

abstract = {Abstract Fully coupled atmospheric-hydrological models allow a more realistic representation of the land surface–boundary layer continuum, representing both high-resolution land-surface/subsurface water lateral redistribution and the related feedback towards the atmosphere. This study evaluates the potential contribution of the fully coupled approach in medium-range mesoscale hydrometeorological ensemble forecasts. Previous studies have shown, for deterministic simulations that the effect of fully coupling for short-range forecasts is minor compared to other sources of uncertainty. However, it becomes not negligible when increasing the forecast period. The paper presents a proof-of-concept consisting of a 7-day ensemble (50 members from the ECMWF Ensemble Prediction System) forecast of a high impact event affecting the Calabrian peninsula (southern Italy, Mediterranean basin) on November 2019. The scope is to investigate how the impact of improved representation of the terrestrial water lateral transport in the weather research and forecasting (WRF)—hydro modelling system affects the water balance, focusing on the precipitation and the hydrological response, in terms of both soil moisture dynamics and streamflow in 14 catchments spanning over 42% of the region. The fully coupled approach led to an increase of surface soil moisture and latent heat flux from land in the days preceding the event, affecting the lower Planetary Boundary Layer. However, in cases when shoreward moisture transport from surrounding sea is the dominant process, only a weak signature of soil moisture contribution could be detected, resulting in only slightly higher precipitation forecast and not clear variation trend of peak flow, even though the latter variable increased up to 10% in some catchments. Overall, this study highlighted a remarkable performance of the medium-range ensemble forecasts, suggesting a profitable use of the fully coupled approach for forecasting purposes in circumstances in which soil moisture dynamics is more relevant and needs to be better addressed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.jocs.2021.101538,

title = {Towards efficient GPGPU Cellular Automata model implementation using persistent active cells},

author = {Paweł Renc and Tomasz Pęcak and Alessio De Rango and William Spataro and Giuseppe Mendicino and Jarosław Wąs},

url = {https://www.sciencedirect.com/science/article/pii/S1877750321001964},

doi = {https://doi.org/10.1016/j.jocs.2021.101538},

issn = {1877-7503},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Computational Science},

volume = {59},

pages = {101538},

abstract = {Natural complex phenomena simulation relies on the application of advanced numerical models. Nevertheless, due to their inherent temporal and spatial computational complexity, efficient parallel computing algorithms are required in order to speed up simulation execution times. In this paper, we apply the Nvidia CUDA architecture to the simulation of a groundwater hydrological model based on the Cellular Automata formalism. Different implementations, using different memory access patterns and optimizations, regarding the application of persistent active cells (i.e., once a cell is activated, it remains such throughout a simulation), are presented and evaluated. The obtained results have demonstrated the full suitability of the approach in speeding up simulation times, thus resulting in a valid support for complex system modeling.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3390/rs14010108,

title = {UAV Thermal Images for Water Presence Detection in a Mediterranean Headwater Catchment},

author = {Massimo Micieli and Gianluca Botter and Giuseppe Mendicino and Alfonso Senatore},

url = {https://www.mdpi.com/2072-4292/14/1/108},

doi = {https://doi.org/10.3390/rs14010108},

issn = {2072-4292},

year  = {2022},

date = {2022-01-01},

journal = {Remote Sensing},

volume = {14},

number = {1},

abstract = {As Mediterranean streams are highly dynamic, reconstructing space-time water presence in such systems is particularly important for understanding the expansion and contraction phases of the flowing network and the related hydro-ecological processes. Unmanned aerial vehicles (UAVs) can support such monitoring when wide or inaccessible areas are investigated. In this study, an innovative method for water presence detection in the river network based on UAV thermal infrared remote sensing (TIR) images supported by RGB images is evaluated using data gathered in a representative catchment located in Southern Italy. Fourteen flights were performed at different times of the day in three periods, namely, October 2019, February 2020, and July 2020, at two different heights leading to ground sample distances (GSD) of 2 cm and 5 cm. A simple methodology that relies on the analysis of raw data without any calibration is proposed. The method is based on the identification of the thermal signature of water and other land surface elements targeted by the TIR sensor using specific control matrices in the image. Regardless of the GSD, the proposed methodology allows active stream identification under weather conditions that favor sufficient drying and heating of the surrounding bare soil and vegetation. In the surveys performed, ideal conditions for unambiguous water detection in the river network were found with air-water thermal differences higher than 5 °C and accumulated reference evapotranspiration before the survey time of at least 2.4 mm. Such conditions were not found during cold season surveys, which provided many false water pixel detections, even though allowing the extraction of useful information. The results achieved led to the definition of tailored strategies for flight scheduling with different levels of complexity, the simplest of them based on choosing early afternoon as the survey time. Overall, the method proved to be effective, at the same time allowing simplified monitoring with only TIR and RGB images, avoiding any photogrammetric processes, and minimizing postprocessing efforts.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1038/s41598-021-00922-2,

title = {Hierarchical climate-driven dynamics of the active channel length in temporary streams},

author = {G. Botter and F. Vingiani and A. Senatore and C. Jensen and M. Weiler and K. McGuire and G. Mendicino and N. Durighetto},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118433838&doi=10.1038%2fs41598-021-00922-2&partnerID=40&md5=d004112fb7104d6d45f24d1cf47f32ff},

doi = {https://doi.org/10.1038/s41598-021-00922-2},

year  = {2021},

date = {2021-01-01},

journal = {Scientific Reports},

volume = {11},

number = {1},

note = {cited By 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.advwatres.2021.103952,

title = {Asynchronous cellular automata subsurface flow simulations in two- and three-dimensional heterogeneous soils},

author = {Luca Furnari and Alfonso Senatore and Alessio De Rango and Michele De Biase and Salvatore Straface and Giuseppe Mendicino},

url = {https://www.sciencedirect.com/science/article/pii/S030917082100107X},

doi = {https://doi.org/10.1016/j.advwatres.2021.103952},

issn = {0309-1708},

year  = {2021},

date = {2021-01-01},

journal = {Advances in Water Resources},

volume = {153},

pages = {103952},

abstract = {Cellular Automata (CA) are particularly suitable for physically-based modelling of complex hydrological processes due to their inherent aptitude for parallel computing. Nevertheless, other CA specific features like asynchronism could be exploited to enhance further the computational efficiency. This note introduces an innovative activation/deactivation rule enabling for the first time the practical application of asynchronous CA to subsurface flow problems. The asynchronism rule, consisting of a threshold depending on the spatial total hydraulic head difference between each automaton and its neighbourhood, was implemented in the new OpenCAL parallel software library using the Extended CA (XCA) paradigm. It was tested performing hundreds of wet front propagation simulations in a comprehensive probabilistic framework, considering several thresholds and addressing both two- and three-dimensional domains with heterogeneous hydraulic properties. Furthermore, realistic simulations of a drip-irrigated field entailing combined infiltration/exfiltration cycles were carried out. The application of the asynchronism rule generated considerable computational benefits for all the test cases, even adopting low threshold values, reducing the elapsed time by up to 80-85% while preserving numerical accuracy. In particular, the three-dimensional simulation of the drip-irrigated field demonstrated the practical relevance of the approach. The computational improvement produced by the combined effect of parallel computing and the proposed asynchronism strategy enables increased space-time resolution on wider study areas and further developments focusing on the simulation of computationally demanding relevant processes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1029/2020WR028741,

title = {Monitoring and Modeling Drainage Network Contraction and Dry Down in Mediterranean Headwater Catchments},

author = {Alfonso Senatore and Massimo Micieli and Alessio Liotti and Nicola Durighetto and Giuseppe Mendicino and Gianluca Botter},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020WR028741},

doi = {https://doi.org/10.1029/2020WR028741},

year  = {2021},

date = {2021-01-01},

journal = {Water Resources Research},

volume = {57},

number = {6},

pages = {e2020WR028741},

abstract = {Abstract Understanding the expansion and contraction dynamics of flowing drainage networks is important for many research fields like ecology, hydrology, and biogeochemistry. This study analyzes for the first time the network shrinking and dry down in two seasonally dry hot-summer Mediterranean catchments (overall area 1.15 km2) using a comprehensive approach based on monitoring and modeling of the flowing network. A field campaign consisting of 19 subweekly visual surveys was carried out in the early summer of 2019. These observations were used to calibrate and validate an integrated model aimed to estimate the time evolution of the total flowing drainage network length based on meteorological drivers and define the position of the stretches with flowing water based on topographic and geological information. We used a statistical model to describe the observed variations in the total flowing length based on the accumulated difference between antecedent precipitation and evapotranspiration. The study emphasizes the relevant role of evapotranspiration in the seasonal network contraction. Then, we modeled spatial patterns of the flowing channels using an empirical approach based on topographic data, achieving satisfactory performances. Nevertheless, the performance further increased when site-specific geological information was integrated into the model, leading to accuracies up to 92% for cell-by-cell comparisons. The proposed methodology, which combines meteorological, topographic, and geological information in a sequential manner, was able to accurately represent the space-time dynamics of the flowing drainage network in the study area, proving to be an effective and flexible tool for investigating network dynamics in temporary streams.},

note = {e2020WR028741 2020WR028741},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3390/atmos12020144,

title = {Concurrent Influence of Different Natural Sources on the Particulate Matter in the Central Mediterranean Region during a Wildfire Season},

author = {Jessica Castagna and Alfonso Senatore and Mariantonia Bencardino and Giuseppe Mendicino},

url = {https://www.mdpi.com/2073-4433/12/2/144},

doi = {10.3390/atmos12020144},

issn = {2073-4433},

year  = {2021},

date = {2021-01-01},

journal = {Atmosphere},

volume = {12},

number = {2},

abstract = {Wildfire occurrence and severity in the Mediterranean region during the summer season is increasing, being favoured by climate change-induced conditions (i.e., drought, heatwaves). Moreover, additional natural sources frequently impact this region, particularly Saharan dust intrusions. This study focuses on the combined effect of wildfires and Saharan dust on the air quality of the central Mediterranean Basin (CMB) during 2017, an exceptional year for forested burned areas in southern Italy. The annual behaviors of PM2.5, PM10, CO, benzene, and benzo(a)pirene measurements that were recorded at a rural regional-background station located in southern Italy, highlighted a concentration increase during summer. Both Saharan dust and wildfire events were identified while using Navy Aerosol Analysis and Prediction System (NAAPS) model maps, together with high-resolution Weather Research and Forecast—Hybrid Single-Particle Lagrangian Integrated Trajectory (WRF-HYSPLIT) back-trajectories. Additionally, Visible Infrared Imaging Radiometer Suite (VIIRS) satellite detections were considered to establish the enrichment of air masses by wildfire emissions. Finally, the occurrence of these natural sources, and their influence on particulate matter, were examined. In this case study, both PM2.5 and PM10 exceedances occurred predominantly in conjunction with wildfire events, while Saharan dust events mainly increased PM10 concentration when overlapping with wildfire effects.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.camwa.2020.05.017,

title = {OpenCAL system extension and application to the three-dimensional Richards equation for unsaturated flow},

author = {Alessio De Rango and Luca Furnari and Andrea Giordano and Alfonso Senatore and Donato D’Ambrosio and William Spataro and Salvatore Straface and Giuseppe Mendicino},

url = {https://www.sciencedirect.com/science/article/pii/S0898122120302248},

doi = {https://doi.org/10.1016/j.camwa.2020.05.017},

issn = {0898-1221},

year  = {2021},

date = {2021-01-01},

journal = {Computers & Mathematics with Applications},

volume = {81},

pages = {133-158},

abstract = {OpenCAL is a scientific software library specifically developed for the simulation of 2D and 3D complex dynamical systems on parallel computational devices. It is written in C/C++ and relies on OpenMP/OpenCL and MPI for parallel execution on multi-/many-core devices and clusters of computers, respectively. The library provides the Extended Cellular Automata paradigm as a high-level formalism for modeling complex systems on structured computational grids. As a consequence, it can be used as a parallel explicit solver of ordinary and partial differential equations through classical methods, including finite-difference and finite-volume. Here the latest version of the library is described, introducing the MPI infrastructure over the 3D OpenCL and 2D/3D OpenMP components. The implementation of a three-dimensional unsaturated flow model based on a direct discrete formulation of the Richards’ equation is also shown, corresponding to a finite-difference scheme. Computational performances have been assessed on both a scientific workstation equipped with a dual Intel Xeon socket and three Nvidia GPUs, and a 16 nodes cluster with a fast interconnection network. The OpenCAL embedded quantization optimization is also discussed and exploited to drastically reduce computing time.},

note = {Development and Application of Open-source Software for Problems with Numerical PDEs},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1061/(asce)ir.1943-4774.0001447,

title = {Exploring the Potential of Temperature-Based Methods for Regionalization of Daily Reference Evapotranspiration in Two Spanish Regions},

author = {Alfonso Senatore and Clara Parrello and Javier Almorox and Giuseppe Mendicino},

url = {https://doi.org/10.1061%2F%28asce%29ir.1943-4774.0001447},

doi = {10.1061/(asce)ir.1943-4774.0001447},

year  = {2020},

date = {2020-03-01},

journal = {Journal of Irrigation and Drainage Engineering},

volume = {146},

number = {3},

pages = {05020001},

publisher = {American Society of Civil Engineers (ASCE)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/egusphere-egu2020-14140,

title = {Developing an operational high-resolution hydrometeorological system in a Mediterranean region: predictability analysis of two case studies},

author = {Luca Furnari and Alfonso Senatore and Linus Magnusson and Giuseppe Mendicino},

url = {https://doi.org/10.5194%2Fegusphere-egu2020-14140},

doi = {10.5194/egusphere-egu2020-14140},

year  = {2020},

date = {2020-03-01},

publisher = {Copernicus GmbH},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/egusphere-egu2020-11761,

title = {Monitoring and modelling drainage network dynamics of a Mediterranean catchment},

author = {Alfonso Senatore and Alessio Liotti and Massimo Micieli and Nicola Durighetto and Gianluca Botter and Giuseppe Mendicino},

url = {https://doi.org/10.5194%2Fegusphere-egu2020-11761},

doi = {10.5194/egusphere-egu2020-11761},

year  = {2020},

date = {2020-03-01},

publisher = {Copernicus GmbH},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/nhess-2020-78,

title = {Towards a reliable assessment of climate change impact on droughts in Southern Italy: Evaluation of EURO-CORDEX historical simulations by high-quality observational datasets},

author = {David J. Peres and Alfonso Senatore and Paola Nanni and Antonino Cancelliere and Giuseppe Mendicino and Brunella Bonaccorso},

url = {https://doi.org/10.5194%2Fnhess-2020-78},

doi = {10.5194/nhess-2020-78},

year  = {2020},

date = {2020-03-01},

publisher = {Copernicus GmbH},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1175/JHM-D-19-0270.1,

title = {Reconstructing Flood Events in Mediterranean Coastal Areas Using Different Reanalyses and High-Resolution Meteorological Models},

author = {A. Senatore and S. Davolio and L. Furnari and G. Mendicino},

url = {https://journals.ametsoc.org/view/journals/hydr/21/8/jhmD190270.xml},

doi = {10.1175/JHM-D-19-0270.1},

year  = {2020},

date = {2020-01-01},

journal = {Journal of Hydrometeorology},

volume = {21},

number = {8},

pages = {1865 - 1887},

publisher = {American Meteorological Society},

address = {Boston MA, USA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/hess-24-771-2020,

title = {The impact of initial conditions on convection-permitting simulations of a flood event over complex mountainous terrain},

author = {L. Li and M. Pontoppidan and S. Sobolowski and A. Senatore},

url = {https://www.hydrol-earth-syst-sci.net/24/771/2020/},

doi = {10.5194/hess-24-771-2020},

year  = {2020},

date = {2020-01-01},

journal = {Hydrology and Earth System Sciences},

volume = {24},

number = {2},

pages = {771–791},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/hess-24-2457-2020,

title = {High-resolution fully coupled atmospheric-hydrological modeling: a cross-compartment regional water and energy cycle evaluation},

author = {B. Fersch and A. Senatore and B. Adler and J. Arnault and M. Mauder and K. Schneider and I. Völksch and H. Kunstmann},

url = {https://www.hydrol-earth-syst-sci.net/24/2457/2020/},

doi = {10.5194/hess-24-2457-2020},

year  = {2020},

date = {2020-01-01},

journal = {Hydrology and Earth System Sciences},

volume = {24},

number = {5},

pages = {2457–2481},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/hess-24-269-2020,

title = {Impact of high-resolution sea surface temperature representation on the forecast of small Mediterranean catchments' hydrological responses to heavy precipitation},

author = {A. Senatore and L. Furnari and G. Mendicino},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078468402&doi=10.5194%2fhess-24-269-2020&partnerID=40&md5=abc56c50473374c25258c92a380155b5},

doi = {10.5194/hess-24-269-2020},

year  = {2020},

date = {2020-01-01},

journal = {Hydrology and Earth System Sciences},

volume = {24},

number = {1},

pages = {269-291},

note = {cited By 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3390/W12061545,

title = {Hydrometeorological ensemble forecast of a highly localized convective event in the mediterranean},

author = {L. Furnari and G. Mendicino and A. Senatore},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086700621&doi=10.3390%2fW12061545&partnerID=40&md5=7566c9acdb0d92bfa486f6c78153a5fb},

doi = {10.3390/W12061545},

year  = {2020},

date = {2020-01-01},

journal = {Water (Switzerland)},

volume = {12},

number = {6},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{doi:10.1029/2019WR027003,

title = {Reply to Comment by J. Qin and T. Wu on “Analysis of Flow Resistance Equations in Gravel Bed Rivers With Intermittent Regimes: Calabrian fiumare Data Set”},

author = {G. Mendicino and F. Colosimo},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019WR027003},

doi = {10.1029/2019WR027003},

year  = {2020},

date = {2020-01-01},

journal = {Water Resources Research},

volume = {56},

number = {3},

pages = {e2019WR027003},

note = {e2019WR027003 2019WR027003},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.atmosenv.2020.117532,

title = {Black carbon and its impact on air quality in two semi-rural sites in Southern Italy near an oil pre-treatment plant},

author = {G. Pavese and M. Calvello and J. Castagna and F. Esposito},

year  = {2020},

date = {2020-01-01},

journal = {Atmospheric Environment},

volume = {233},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/nhess-19-1619-2019,

title = {Brief communication: Preliminary hydro-meteorological analysis of the flash flood of 20 August 2018 in Raganello Gorge, southern Italy},

author = {Elenio Avolio and Ottavio Cavalcanti and Luca Furnari and Alfonso Senatore and Giuseppe Mendicino},

url = {https://doi.org/10.5194%2Fnhess-19-1619-2019},

doi = {10.5194/nhess-19-1619-2019},

year  = {2019},

date = {2019-08-01},

journal = {Natural Hazards and Earth System Sciences},

volume = {19},

number = {8},

pages = {1619–1627},

publisher = {Copernicus GmbH},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.5194/hess-2019-345,

title = {Impact of improved Sea Surface Temperature representation on the 

forecast of small Mediterranean catchments hydrological response to 

heavy precipitation},

author = {Alfonso Senatore and Luca Furnari and Giuseppe Mendicino},

url = {https://doi.org/10.5194%2Fhess-2019-345},

doi = {10.5194/hess-2019-345},

year  = {2019},

date = {2019-07-01},

publisher = {Copernicus GmbH},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.jocs.2018.09.012,

title = {A first multi-GPU/multi-node implementation of the open computing abstraction layer},

author = {A. De Rango and D. Spataro and W. Spataro and D. D'Ambrosio},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Computational Science},

volume = {32},

pages = {115-124},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1109/empdp.2019.8671639,

title = {Strategies for Parallel Execution of Cellular Automata in Distributed Memory Architectures},

author = {A. Giordano and A. De Rango and D. D'Ambrosio and R. Rongo and W. Spataro},

year  = {2019},

date = {2019-01-01},

journal = {Proceedings - 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019},

pages = {406-413},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{doi:10.1029/2019WR024819,

title = {Analysis of Flow Resistance Equations in Gravel-Bed Rivers With Intermittent Regimes: Calabrian fiumare Data Set},

author = {G. Mendicino and F. Colosimo},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019WR024819},

doi = {10.1029/2019WR024819},

year  = {2019},

date = {2019-01-01},

journal = {Water Resources Research},

volume = {55},

number = {8},

pages = {7294-7319},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.3390/atmos10100592,

title = {Carbonaceous aerosols collected at the observatory of Monte Curcio in the Southern Mediterranean Basin},

author = {M. Bencardino and V. Andreoli and F. D'Amore and F. De Simone and V. Mannarino and J. Castagna and S. Moretti and A. Naccarato and F. Sprovieri and N. Pirrone},

year  = {2019},

date = {2019-01-01},

journal = {Atmosphere},

volume = {10},

number = {10},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.atmosenv.2019.116819,

title = {A multi-year record of atmospheric mercury species at a background mountain station in Andean Patagonia (Argentina): Temporal trends and meteorological influence},

author = {M. C. Diëguez and M. Bencardino and P. E. Garcïa and F. D'Amore and J. Castagna and F. De Simone and C. Soto Cärdenas and S. Ribeiro Guevara and N. Pirrone and F. Sprovieri},

year  = {2019},

date = {2019-01-01},

journal = {Atmospheric Environment},

volume = {214},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.rse.2019.111429,

title = {Analysis of equivalent black carbon multi-year data at an oil pre-treatment plant: Integration with satellite data to identify black carbon transboundary sources},

author = {J. Castagna and M. Calvello and F. Esposito and G. Pavese},

year  = {2019},

date = {2019-01-01},

journal = {Remote Sensing of Environment},

volume = {235},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/s00382-018-4171-x,

title = {Climate conditions and drought assessment with the Palmer Drought Severity Index in Iran: evaluation of CORDEX South Asia climate projections (2070–2099)},

author = {Alfonso Senatore and Somayeh Hejabi and Giuseppe Mendicino and Javad Bazrafshan and Parviz Irannejad},

url = {https://doi.org/10.1007%2Fs00382-018-4171-x},

doi = {10.1007/s00382-018-4171-x},

year  = {2018},

date = {2018-03-01},

journal = {Climate Dynamics},

volume = {52},

number = {1-2},

pages = {865–891},

publisher = {Springer Nature},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1109/pdp2018.2018.00099,

title = {Structured Grid-Based Parallel Simulation of a Simple DEM Model on Heterogeneous Systems},

author = {A. De Rango and P. Napoli and D. D'Ambrosio and W. Spataro and A. Di Renzo and F. Di Maio},

year  = {2018},

date = {2018-01-01},

journal = {Proceedings - 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2018},

pages = {588-595},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85056721814,

title = {Opencal simulation of the 1992 Tessina landslide},

author = {D. D'Ambrosio and A. De Rango and R. Rongo},

year  = {2018},

date = {2018-01-01},

journal = {30th European Modeling and Simulation Symposium, EMSS 2018},

pages = {210-217},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.jpdc.2018.07.005,

title = {The Open Computing Abstraction Layer for Parallel Complex Systems Modeling on Many-Core Systems},

author = {D. D'Ambrosio and A. De Rango and M. Oliverio and D. Spataro and W. Spataro and R. Rongo and G. Mendicino and A. Senatore},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Parallel and Distributed Computing},

volume = {121},

pages = {53-70},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1007/978-3-319-55077-0_22,

title = {Self assembled and electrochemically deposed layers of thiols on gold compared with electrochemical impedance spectroscopy and atomic force microscopy},

author = {J. Castagna and F. Malvano and D. Albanese and R. Pilloton},

year  = {2018},

date = {2018-01-01},

journal = {Lecture Notes in Electrical Engineering},

volume = {431},

pages = {163-168},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1016/j.atmosenv.2017.10.045,

title = {Atmospheric mercury species measurements across the Western Mediterranean region: Behaviour and variability during a 2015 research cruise campaign},

author = {J. Castagna and M. Bencardino and F. D'Amore and G. Esposito and N. Pirrone and F. Sprovieri},

year  = {2018},

date = {2018-01-01},

journal = {Atmospheric Environment},

volume = {173},

pages = {108-126},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.2136/vzj2017.01.0022,

title = {Soil electrical resistivity for spatial sampling design, prediction, and uncertainty modeling of soil moisture},

author = {G. Calamita and A. Perrone and L. Brocca and S. Straface},

year  = {2017},

date = {2017-01-01},

journal = {Vadose Zone Journal},

volume = {16},

number = {10},

keywords = {},

pubstate = {published},

tppubtype = {article}

}