WATER-ENERGY NEXUS
ISI JOURNAL ARTICLES
Patro, E.R., De Michele, C., Avanzi, F., 2018. Future perspectives of run-of-the-river hydropower and the impact of glaciers’ shrinkage: The case of Italian Alps. Applied Energy 231, 699–713.
Bonato, M., Ranzani, A., Patro, E.R., Gaudard, L., De Michele, C., 2019. Water-Energy Nexus for an Italian Storage Hydropower Plant under Multiple Drivers. Water 11 (9), 1838
Ranzani, A., Bonato, M., Patro, E.R., Gaudard, L., De Michele, C., 2018. Hydropower Future: Between Climate Change, Renewable Deployment, Carbon and Fuel Prices. Water 10, 1197.
Bongio, M., Avanzi, F., De Michele, C., 2016. Hydroelectric power generation in an Alpine basin: future water-energy scenarios in a run-of-the-river plant. Advances in Water Resources, 318-331.
Bonato, M., Ranzani, A., Patro, E.R., Gaudard, L., De Michele, C., 2019. Water-Energy Nexus for an Italian Storage Hydropower Plant under Multiple Drivers. Water 11 (9), 1838
Ranzani, A., Bonato, M., Patro, E.R., Gaudard, L., De Michele, C., 2018. Hydropower Future: Between Climate Change, Renewable Deployment, Carbon and Fuel Prices. Water 10, 1197.
Bongio, M., Avanzi, F., De Michele, C., 2016. Hydroelectric power generation in an Alpine basin: future water-energy scenarios in a run-of-the-river plant. Advances in Water Resources, 318-331.
ECOHYDROLOGY
ISI JOURNAL ARTICLES
Accatino, F., Sabatier, R., De Michele, C., Ward, D., Wiegand, K., Meyer, K.M., 2014. Robustness and management adaptability in tropical rangelands: a viability-based assessment under the non-equilibrium paradigm. animal, 1-10.
De Michele, C., Accatino, F., 2014. Tree cover biomdality in savannas and forests emerging from the switching between two fire dynamics. PloS One 9, e91195.
Accatino, F., De Michele, C. 2013. Humid savanna-forest dynamics: A matrix model with vegetation-fire interactions and seasonality. Ecological Modelling, 265:170-179.
Accatino, F., Sabatier, R., De Michele, C., Ward, D., Wiegand, K., Meyer, K.M., 2014. Robustness and management adaptability in tropical rangelands: a viability-based assessment under the non-equilibrium paradigm. animal, 1-10.
De Michele, C., Accatino, F., 2014. Tree cover biomdality in savannas and forests emerging from the switching between two fire dynamics. PloS One 9, e91195.
Accatino, F., De Michele, C. 2013. Humid savanna-forest dynamics: A matrix model with vegetation-fire interactions and seasonality. Ecological Modelling, 265:170-179.
Donzelli,
D., De Michele, C., Scholes, R. J. 2013. Competition between trees and grasses for both soil water and mineral nitrogen in dry savannas. Journal of Theoretical Biology.
De
Michele, C., Accatino, F., Vezzoli, R., Scholes, R. J. 2011. Savanna domain inthe herbivores - fire parameter space exploiting a tree - grass - soil water dynamics model. Journal of
Theoretical Biology, 289:74-82.
Accatino,
F., De Michele, C., Vezzoli, R., Donzelli, D., Scholes, R. J. 2010. Tree -grass coexistence in savanna: interactions of rain and fire. Journal of Theoretical Biology,
267:235-242.
De Michele, C., Vezzoli, R., Pavlopoulos, H., Scholes, RJ. 2008. A minimal model of soil water–vegetation interactions forced by stochastic rainfall inwater-limited ecosystems. Ecological Modelling, 212, 3, 397-407.
Vezzoli, R., De Michele, C., Pavlopoulos, H., Scholes, R.J. 2008. Dryland ecosystems: The coupled stochastic dynamics of soil water and vegetation and the role of rainfall seasonality. Physical
Review, E 77, 5.
SNOW HYDROLOGY AND MASS DYNAMICS
ISI JOURNAL
ARTICLES
Avanzi, F., Hirashima, H., Yamaguchi, S., Katsushima, T., De Michele, C, 2016, Observations of capillary barriers and preferential flow in layered snow during cold laboratory experiments, The Cryosphere, 10, 2013-2026.
De Michele, C., Avanzi, F., Passoni, D., Barzaghi, R., Pinto, L., Dosso, P., Ghezzi, A., Gianatti, R., Della Vedova, G. 2016, Using a fixed-wing UAS to map snow depth distribution: an evaluation at peak accumulation. The Cryosphere, Vol. 10, 511-522
Avanzi, F., De Michele, C., Morin, S., Carmagnola, C. M., Ghezzi, A., Lejeune, Y. 2016, Model complexity and data requirements in snow hydrology: seeking a balance in practical applications, Hydrological Processes.
Avanzi, F., Yamaguchi, S., Hirashima, H., De Michele, C., 2015, Bulk volumetric liquid water content in a seasonal snowpack: modeling its dynamics in different climatic conditions, Advances in Water Resources, 86, 1-13.
Comola, F., Schaefli, B., Da Ronco, P., Botter, G., Bavay, M., Rinaldo, A., Lehning, M., 2015, Scale-dependent effects of solar radiation patterns on the snow-dominated hydrologic response, Geophysical Research Letters.
Avanzi, F., De Michele, C., Ghezzi, A., Jommi, C., Pepe, M. 2014, A processing-modeling routine to use SNOTEL hourly data in snowpack dynamic models, Advances in Water Resources, Vol. 73, 16-29. DOI: 10.1016/j.advwatres.2014.06.011
Da Ronco, P., De Michele, C., 2014, Cloud obstruction and snow cover in Alpine areas from MODIS products, Hydrology and Earth System Sciences, Vol. 18, 4579-4600.
Avanzi, F., Caruso, M., Jommi, C., De Michele, C., Ghezzi, A. 2014, Continuous-time monitoring of liquid water content in snowpacks using capacitance probes: a preliminary feasibility study, Advances in Water Resources, Vol. 68, 32-41.
B. Schaefli, L. Nicòtina, C. Imfeld, P. Da Ronco, E. Bertuzzo, A. Rinaldo 2014, SEHR-ECHO v1.0: a Spatially-Explicit Hydrologic Response model for ecohydrologic applications, Geoscientific Model Development, Vol. 7, 2733-2746.
Bavera, D., M. Bavay, T. Jonas, M. Lehning, C. De Michele 2013, A comparison between two statistical and a physically-based model in snow water equivalent mapping, Advances in Water Resources
De Michele, C., Avanzi, F., Ghezzi, A., Jommi, C. 2013. Investigating the dynamics of bulk snow density in dry and wet conditions using a one-dimensional model. The Chryosphere, 7, 433-444.
Bavera, D., De Michele, C., Pepe, M., Rampini, A. 2012. Melted snow volume control in the snowmelt runoff model using a snow water equivalent statistically based model. Hydrological
Processes, 26, 22, 3405 - 3415.
Bavera, D., De Michele, C. 2009. Snow water equivalent estimation in the Mallero basin using snow gauge data and MODIS images and fieldwork validation. Hydrological Processes, 23, 14,
1961-1972.
Colombi, A., De Michele, C., Pepe, M., Rampini, A. 2007. Estimation of dailymean air temperature from MODIS LST in Alpine areas. EARSeL eProceedings, 6, 1, 38-46.
NON-ISI JOURNAL ARTICLES
Avanzi, F., De Michele, C., Ghezzi, A., Gianatti, R., Della Vedova, G. 2015. Modellazione della Dinamica dei manti nevosi in alta Valtellina, Neve e Valanghe, 83.
M. Turco, R. Vezzoli, Da Ronco, P., Mercogliano, P., Variation in discharge, precipitation and temperature in Po river and tributaries basin, RP0185, Research Papers, Centro Euro-Mediterraneo sui Cambiamenti Climatici.
Cugerone, K., Allamano, P. Salandin, A., Barbero, S. 2012. Stima della precipitazione in siti di alta quota, Neve e Valanghe, 77.
Avanzi, F., De Michele, C., Ghezzi, A., Gianatti, R., Della Vedova, G. 2015. Modellazione della Dinamica dei manti nevosi in alta Valtellina, Neve e Valanghe, 83.
M. Turco, R. Vezzoli, Da Ronco, P., Mercogliano, P., Variation in discharge, precipitation and temperature in Po river and tributaries basin, RP0185, Research Papers, Centro Euro-Mediterraneo sui Cambiamenti Climatici.
Da Ronco, P., De Michele, C. 2013, On the use of MODIS Snow Cover Product for assessing snow extension and duration over the Po river basin, RP018, Research Papers, Centro Euro-Mediterraneo sui Cambiamenti Climatici.
Avanzi, F., De Michele, C., Ghezzi, A., Jommi, C. 2012. La dinamica della densità di una coltre nivale stagionale. Neve e Valanghe, 77.
Cugerone, K., Allamano, P. Salandin, A., Barbero, S. 2012. Stima della precipitazione in siti di alta quota, Neve e Valanghe, 77.
PRECIPITATION DYNAMICS
ISI JOURNAL ARTICLES
D'Adderio L.P., Cugerone, K., Porcù F., De Michele, C., Tokay A. 2016. Capabilities of the Johnson SB distribution in estimating rain variables, Advances in Water Resources, 97, November 2016, pp. 241-250.
D'Adderio L.P., Cugerone, K., Porcù F., De Michele, C., Tokay A. 2016. Capabilities of the Johnson SB distribution in estimating rain variables, Advances in Water Resources, 97, November 2016, pp. 241-250.
Cugerone, K., De Michele, C. 2015. Johnson SB as general functional form for raindrop size distribution. Water Resources Research, 51(8), August 2015, pp. 6276-6289.
De Michele, C., Ignaccolo, M. 2013. New perspectives on rainfall from a discrete view. Hydrological Processes.
De Michele, C., Ignaccolo, M. 2013. New perspectives on rainfall from a discrete view. Hydrological Processes.
Ignaccolo, M., De Michele, C. 2012. Skewness as measure of the invariance of instantaneous renormalized drop diameter distributions—Part1: Convective vs. stratiform precipitation. Hydrology and Earth System Sciences, 16, 2, 319.
Ignaccolo, M., De Michele, C. 2012. Skewness as measure of the invariance of instantaneous renormalized drop diameter distributions—Part2: Orographic precipitation. Hydrology
and Earth System Sciences, 16, 2, 329.
Ignaccolo, M., De Michele, C. 2011. The discrete charm of rain. Physics Today, 64, 68.
Ignaccolo, M., De Michele, C. 2010. A point based Eulerian definition of rain event based on statistical properties of inter drop timeintervals: An application to Chilbolton data. Advances in Water Resources, 33, 8, 933-941.
Ignaccolo, M., De Michele, C., 2010. Statistical collapse of stratiform and convective drop diameter distributions at the ground. Geophysical Research Letters, 37, 24,
L24402.
Ignaccolo, M., De Michele, C., Bianco, S. 2009. The droplike nature of rain and its invariant statistical properties. Journal of Hydrometeorology, 10, 1,
79-95.
Bernardara, P.,; De Michele, C., Rosso, R. 2007. A simple model of rain in time: An alternating renewal process of wet and dry states with a fractional (non-Gaussian) rain intensity. Atmospheric research, 84, 4, 291-301.
De Michele, C., Bernardara, P. 2005. Spectral analysis andmodeling of space-time rainfall fields. Atmospheric research, 77, 1, 124-136.
De Michele, C., Kottegoda, N.T., Rosso, R. 2002. IDAF(intensity-duration-area frequency) curves of extreme storm rainfall: a scaling approach. Water science and
technology, 83-90.
De Michele, C., Kottegoda, N. T., Rosso, R. 2001. The derivation of areal reduction factor of storm rainfall from its scaling properties. Water Resources Research,37,12,3247-3252.
CLIMATE CHANGE ASSESSMENT
ISI JOURNAL ARTICLES
Avanzi, F., De Michele, C., Ghezzi, A. 2014. Liquid-Solid Partitioning of Precipitation along an Altitude Gradient and Its Statistical Properties: An Italian Case Study, American Journal of Climate Change, Vol. 3, No. 1, 71-82.
Avanzi, F., De Michele, C., Ghezzi, A. 2014. Liquid-Solid Partitioning of Precipitation along an Altitude Gradient and Its Statistical Properties: An Italian Case Study, American Journal of Climate Change, Vol. 3, No. 1, 71-82.
Cislaghi, M., De Michele, C., Ghezzi, A., Rosso, R. 2005.
Statistical assessment of trends and oscillations in rainfall dynamics:Analysis of long daily Italian series. Atmospheric
research, 77, 1, 188-202.
STATISTICAL MODELING OF EXTREMES
BOOKS
Salvadori, G., De Michele, C., Kottegoda, NT., Rosso, R.
2007. Extremes in nature: an approach using copulas. Water Sciences and Technology Library, Springer Complexity Editions,Dordrecht, 296
pp.
ISI JOURNAL ARTICLES
Avanzi, F., De Michele, C., Gabriele, S., Ghezzi, A., Rosso, R. 2015. Orographic signature on extreme precipitation of short durations. Journal of Hydrometereology, Vol. 16, Issue 1, 278-294. Doi: http://dx.doi.org/10.1175/JHM-D-14-0063.1
De Michele, C., Salvadori, G., Vezzoli, R. Pecora, S. 2013. Multivariate assessment of droughts: Frequency analysis and dynamic return period. Water Resour. Res., 49, 6985–6994.
Soľáková, T., De Michele, C., Vezzoli, R. 2013. Comparison between Parametric and Nonparametric Approaches for the Calculation of Two Drought Indices: SPI and SSI. Journal of Hydrologic Engineering, DOI: 10.1061/(ASCE)HE.1943-5584.0000942
Soľáková, T., De Michele, C., Vezzoli, R. 2013. Comparison between Parametric and Nonparametric Approaches for the Calculation of Two Drought Indices: SPI and SSI. Journal of Hydrologic Engineering, DOI: 10.1061/(ASCE)HE.1943-5584.0000942
Salvadori, G., De Michele, C. 2013. Multivariate Extreme Value Methods. Extremes in a
Changing Climate, Water Sciences and
Technology Library, 65,115-162.
De Michele, C., Zenoni, E., Pecora, S., Rosso, R. 2011. Analytical derivation of rain intensity–duration–area–frequency relationships from event maxima. Journal of
Hydrology, 399, 3, 385-393.
Salvadori, G., De Michele, C. 2011. Estimating strategies for multiparameter Multivariate Extreme Value copulas. Hydrology and Earth System Sciences, 15, 1, 141-150.
Salvadori, G., De Michele, C., Durante, F. 2011. On the return period and design in a multivariate framework. Hydrology and Earth System Sciences, 15, 11, 3293-3305.
Salvadori, G., De Michele, C. 2010. Multivariate multiparameter extreme value models and return periods: a copula approach. Water Resources Research, 46, 10, W10501.
De Michele, C., Salvadori, G., Passoni, G., Vezzoli, R. 2007. A multivariate model of sea storms using copulas. Coastal Engineering,
54, 10, 734-751.
Salvadori, G., De Michele, C., Kottegoda, N. T, Rosso, R. 2007. Bivariate Analysis Via Copulas. Extremes in Nature,
131-175.
Salvadori, G., De Michele, C., Kottegoda, N. T, Rosso, R. 2007. Univariate Extreme Value theory. Extremes in
Nature, 1-112.
Salvadori, G., De Michele, C. 2007. On the use of copulas in hydrology: theoryand practice. Journal of Hydrologic Engineering, 12, 4,369-380.
De Michele, C., Salvadori, G. 2006. Copulas and extreme storm structure. Geophysical
Research Abstracts, 8, 06124.
Salvadori, G., De Michele, C. 2006. Statistical characterization of temporalstructure of storms. Advances in water resources, 29, 6, 827-842.
De Michele, C., Salvadori, G. 2005. Some hydrological applications of small sample estimators of Generalized Pareto and Extreme Value distributions. Journal of
Hydrology, 301, 1, 37-53.
De Michele, C., Salvadori, G., Canossi, M., Petaccia, A., Rosso, R. 2005. Bivariatestatistical approach to check adequacy of dam spillway. Journal of
Hydrologic Engineering, 10, 1, 50-57.
Salvadori, G., De Michele, C. 2004. Analytical calculation of storm volume statistics involving Pareto-like intensity-duration marginals. Geophysical
Research Letters, 31, 4, L04502.
Salvadori, G., De Michele, C. 2004. Frequency analysis via copulas: Theoretical aspects and applications to hydrological events. Water Resources Research, 40, 12, W12511.
De Michele, C., Salvadori, G. 2003. A generalized Pareto intensity-duration model of storm rainfall exploiting 2-copulas. Journal of geophysical research,108, D2, 4067.
De Michele, C., La Barbera, P., Rosso, R. 2002. Power law distribution of catastrophic floods. IAHS PUBLICATION,
277-282.
De Michele, C., Salvadori, G. 2002. On the derived flood frequency distribution: analytical formulation and the influence of antecedent soil moisture condition. Journal of Hydrology,
262, 1, 245-258.
De Michele, C., Rosso, R. 2001. Uncertainty assessment of regionalized flood frequency estimates. Journal of
Hydrologic Engineering, 6, 6, 453-459.
Salvadori, G., De Michele, C. 2001. From generalized Pareto to extreme values law: scaling properties and derived features. Journal of geophysical research,106,D20.
De Michele, C., Rosso, R. 1999. A multi-level approach to flood frequency regionalisation. Hydrology and Earth System Sciences, 6, 2, 185-194.
De Michele, C., Montanari, A., Rosso, R. 1998. The effects of non-stationarity on the evaluation of critical design storms. Water science and technology, 37, 11, 187-193.
Brath, A., De Michele, C., Rosso, R. 1997. Combining statistical and conceptual approaches for index flood estimation. IAHS PUBLICATION, 287-296.
De Michele, C., Rosso, R. 1995. Self-similarity as a physical basis for regionalisation of flood probabilities. Int. Proc., US–Italy Research Workshop on
Hydrometeorology Impacts and Management of Extreme Floods", 1-22.
