@article {850, title = {Butterfly distribution along altitudinal gradients: temporal changes over a short time period}, journal = {Nature Conservation}, year = {In Press}, month = {2019}, keywords = {Butterfly, community composition, LTER, mountain ecosystem, protected area}, isbn = {1314{\textendash}6947 }, doi = {doi: 10.3897/natureconservation.@@.30728}, url = {http://natureconservation.pensoft.net}, author = {C. Cerrato and E. Rocchia and M. Brunetti and R. Bionda and B. Bassano and A. Provenzale and S. Bonelli and R. Viterbi} } @article {649, title = {Wet deposition at the base of Mt Everest: Seasonal evolution of the chemistry and isotopic composition}, journal = {Atmospheric Environment}, volume = {146}, year = {2016}, month = {08/2016}, pages = {100-112}, keywords = {Back-trajectories d-excess, Monsoon, Nitrate, Snow, Sulfate}, issn = {1352-2310}, url = {http://dx.doi.org/10.1016/j.atmosenv.2016.08.056}, author = {Balestrini, Raffaella and Delconte, Carlo A and Sacchi, Elisa and Wilson Alana M and Williams, Mark W and Cristofanelli, Paolo and Putero, Davide} } @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 {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.} }