@article {770, title = {Ground level ice nucleating particles measurements at Capo Granitola, a Mediterranean coastal site}, journal = {Atmospheric Research}, volume = {219}, year = {2019}, month = {05/2019}, pages = {57-64}, keywords = {Heterogeneous freezing, Ice nucleating particles, Particle number concentration, Saharan dust transport}, url = {https://doi.org/10.1016/j.atmosres.2018.12.022}, author = {M. Rinaldi and A. Nicosia and G. Santachiara and M. Piazza and M. Paglione and S. Gilardoni and S. Sandrini and P. Cristofanelli and A. Marinoni and P. Bonasoni and M.C. Facchini and F. Belosi} } @article {651, title = {Global assessment of heat wave magnitudes from 1901 to 2010 and implications for the river discharge of the Alps}, journal = {Science of the Total Environment}, volume = {571}, year = {2016}, pages = {1330-1339}, keywords = {20th century reanalysis, Alps, Heat waves}, issn = {0048-9697}, url = {http://dx.doi.org/10.1016/j.scitotenv.2016.07.008}, author = {Zampieri, Matteo and Russo, Simone and di Sabatino, Silvana and Micchetti, Melania and Scoccimarro, Enrico and Gualdi, Silvio} } @article {647, title = {Taking Advantage of the ESA G-POD Service to Study Ground Deformation Processes in High Mountain Areas: A Valle d{\textquoteright}Aosta Case Study, Northern Italy}, journal = {Remote Sensing}, volume = {8, 852;}, year = {2016}, month = {10/2016}, keywords = {DInSAR, GPOD-SBAS, ground surface deformation, high mountain regions}, issn = {ISSN 2072-4292}, doi = {10.3390/rs8100852}, author = {Cignetti, Martina and Manconi, Andrea and Manunta, Michele and Giordan, Daniele and De Luca, Claudio and Allasia, Paolo and Ardizzone, Francesca} } @proceedings {802, title = {Assessment of Hybrid Downscaling Techniques for Precipitation Over the Po River Basin}, volume = {1}, year = {2015}, pages = {193-197}, edition = {G. Lollino et al. (eds.)}, address = {Torino}, keywords = {climate change, Hybrid downscaling, precipitation, Regional scenarios}, author = {A.L. Zollo and M. Turco and P. Mercogliano} } @proceedings {790, title = {Hydrological simulations driven by RCM climate scenarios at basin scale in the Po River in Italy}, volume = {364}, year = {2014}, month = {06/2014}, pages = {128-133}, abstract = {

River discharges are the main expression of the hydrological cycle and are the results of climate natural variability. The signal of climate changes occurrence raises the question of how it will impact on river flows and on their extreme manifestations: floods and droughts. This question can be addressed through numerical simulations spanning from the past (1971) to future (2100) under different climate change scenarios. This work addresses the capability of a modelling chain to reproduce the observed discharge of the Po River over the period 1971{\textendash}2000. The modelling chain includes climate and hydrological/hydraulic models and its performance is evaluated through indices based on the flow duration curve. The climate datasets used for the 1971{\textendash}2000 period are (a) a high resolution observed climate dataset, and COSMO-CLM regional climate model outputs with (b) perfect boundary condition, ERA40 Reanalysis, and (c) suboptimal boundary conditions provided by the global climate model CMCC{\textendash}CM. The aim of the different simulations is to evaluate how the uncertainties introduced by the choice of the regional and/or global climate models propagate in the simulated discharges. This point is relevant to interpret the results of the simulated discharges when scenarios for the future are considered. The hydrological/hydraulic components are simulated through a physically-based distributed model (TOPKAPI) and a water balance model at the basin scale (RIBASIM). The aim of these first simulations is to quantify the uncertainties introduced by each component of the modelling chain and their propagation. Estimation of the overall uncertainty is relevant to correctly understand the future river flow regimes. The results show how bias correction algorithms can help in reducing the overall uncertainty associated to the different stages of the modelling chain.

}, keywords = {bias correction, climate change, flow duration curve, hydrological modelling, regional climate model}, doi = {doi:10.5194/piahs-364-128-2014}, author = {R. Vezzoli and M. Del Longo and P. Mercogliano and S. Pecora and F. Tonelli and A.L. Zollo} } @article {15, title = {Precipitation in the Hindu-Kush Karakoram Himalaya: observations and future scenarios}, journal = {Journal of Geophysical Research - Atmospheres}, volume = {118(1)}, year = {2013}, pages = {85-100}, abstract = {

\ We study the properties of precipitation in the Hindu-Kush Karakoram Himalaya (HKKH) region using currently available data sets. We consider satellite rainfall estimates (Tropical Rainfall Measuring Mission), reanalyses (ERA-Interim), gridded in situ rain gauge data (Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of Water Resources, Climate Research Unit, and Global Precipitation Climatology Centre), and a merged satellite and rain gauge climatology (Global Precipitation Climatology Project). The data are compared with simulation results from the global climate model EC-Earth. All data sets, despite having different resolutions, coherently reproduce the mean annual cycle of precipitation in the western and eastern stretches of the HKKH. While for the Himalaya only a strong summer precipitation signal is present, associated with the monsoon, the data indicate that the Hindu-Kush Karakoram, which is exposed to midlatitude {\textquotedblleft}western weather patterns{\textquotedblright}, receives water inputs in winter. Time series of seasonal precipitation confirm that the various data sets provide a consistent measurement of interannual variability for the HKKH. The longest observational data sets indicate a statistically significant decreasing trend in Himalaya during summer. None of the data sets gives statistically significant precipitation trends in Hindu-Kush Karakoram during winter. Precipitation data from EC-Earth are in good agreement with the climatology of the observations (rainfall distribution and seasonality). The evolution of precipitation under two different future scenarios (RCP 4.5 and RCP 8.5) reveals an increasing trend over the Himalaya during summer, associated with an increase in wet extremes and daily intensity and a decrease in the number of rainy days. Unlike the observations, the model shows an increasing precipitation trend also in the period 1950{\textendash}2009, possibly as a result of the poor representation of aerosols in this type of GCMs.

}, keywords = {EC-Earth, Himalaya, hydrological cycle, precipitation}, doi = {10.1007/s00382-014-2341-z}, url = {http://onlinelibrary.wiley.com/doi/10.1029/2012JD018697/abstract}, author = {Elisa Palazzi and von Hardenberg, Jost and Antonello Provenzale} } @article {193, title = {Atmospheric Pollution in the Hindu Kush{\textendash}Himalaya Region}, journal = {Mountain Research and Development}, volume = {32(4)}, year = {2012}, pages = {468-479}, abstract = {This paper presents a detailed review of atmospheric pollution observed in the Hindu Kush{\textendash}Himalaya (HKH) region and its implications for regional climate. Data from in situ measurements made at high-altitude stations in the HKH region, observations from satellite-based instruments, and global climate modeling study results are discussed. Experimental observations discussed include both atmospheric measurements and data from snow and ice core sampling from different glaciers in the HKH region. The paper focuses on the atmospheric brown cloud loadings over the Himalayas, particularly black carbon (BC) and ozone, which have links to regional climate and air-pollution{\textendash}related impacts. Studies show elevated levels of anthropogenic ozone and BC over the Himalayas during the pre-monsoon season with concentrations sometimes similar to those observed over an average urban environment. The elevated concentration observed over the Himalayas is thought to come from the lowlands, especially the highly populated areas of the Indo-Gangetic Plains. The implications of high BC loading in the Himalayan atmosphere as well as elevated BC deposition on snow and ice surfaces for regional climate, hydrological cycle, and glacial melt are discussed.}, keywords = {air pollution, Black carbon, brown cloud, climate change, Hindu Kush{\textendash}Himalaya, ozone}, doi = {http://dx.doi.org/10.1659/MRD-JOURNAL-D-12-00066.1}, url = {http://www.bioone.org/doi/full/10.1659/MRD-JOURNAL-D-12-00066.1}, author = {Bonasoni, P. and Cristofanelli, P and Marinoni, A. and Vuillermoz, E. and Adhikary, B.} }