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Di Giuseppe Edmondo

Di Giuseppe Edmondo


Edmondo Di Giuseppe

Email address: e.digiuseppe@ibimet.cnr.it

ORCID identifier: 0000-0002-6443-9106


Current Position

Postdoctoral Research Assistant at the National Research Council, Institute for Biometeorology CNR-IBIMET Roma, Italy (Jan 2015--present).


Research Interests

Statistical climatology: clustering, extreme values, geostatistics, space-time models and Bayesian inference.


PhD in Methodological Statistics – Sapienza University of Rome, Thesis on “Statistical methods for the analysis of climatic phenomena”, Advisor: Prof. Giovanna Jona Lasinio (2013);

Laurea in Statistics - Sapienza University of Rome "La Sapienza" (2002).

Previous Positions

Research Assistant at the Agricultural Research Council, Research unit for Climatology and Meteorology applied to Agriculture CREA-CMA Roma, Italy (2004-2014).


Research Assistant at the Polytechnic University of Marche, Faculty of Economics Giorgio Fuà (2003).

Research Experience

“VOPA: Volatility of agricultural commodity prices” - PI: Dr. Franco Miglietta.

Study of the effects of El Nino on wheat worldwide production; Modeling of seasonal forecasts; Analysis of heat waves and their connection to large scale drivers (2015-).

“AGROSCENARI: Adaptation scenarios of Italian agriculture to climate change – Subproject 1.b1”

- PI: Dr. Stanislao Esposito.

Functional clustering of temperature and precipitation; Hierarchical Bayesian approach for predicting rainfall fields from lightning records (2009-2014).


“CLIMANIMAL - Heat warning model for dairy cattle” - PI: Dr. Stanislao Esposito.

Statistical analysis of heat wave (temperature and air humidity); Logistic regression models for determining the relation between heat wave and dairy cattle mortality rate (2007-2009).


“TEMPIO – Seasonal forecast model for temperature and rainfall anomaly determination” - PI: Dr. Stanislao Esposito.

Canonical Correlation Analysis for evaluating the relation between heat wave/dry spells and weather types (2007-2009).


“CLIMAGRI – Climate Change and Agriculture – Subproject 1.2” – PI: Dr. Domenico Vento. Statistical analysis of rainfall, hydrometric levels, flow and dry/wet spells; Time series analysis; Models for return probability of  rainfall extreme events (Generalised Extreme Value and Generalised Pareto distributions) (2003-2007).


“COFIN 2001 – Complex dynamics and financial fragility in an agent-based model” – PI: Prof. Mauro Gallegati (Università Politecnica delle Marche) (2003).



Teaching Experience

Instructor for  WMO Regional Training Center (RTC) – Italy:

-Training Course 2015 "Seasonal forecasts and water management” (Responsible for R practical training).

-Second MedCof Training Workshop 2016“Verification of Operational Seasonal Forecasts in the Mediterranean region” (Responsible for R practical training).



Publication Highlights

Refereed Journal Publications

Di Giuseppe E., Jona Lasinio G., Esposito S., Pasqui M.,  2013: “Functional clustering for Italian climate zones identification”, Theoretical and Applied Climatology, Springer Vienna, 114(1-2):39-54, http://dx.doi.org/10.1007/s00704-012-0801-0

Mucciardi M., Bertuccelli P., Di Giuseppe E. , 2012: “Local Spatial Modeling of Meteorological Variables”, Advances in Mathematical and Computational Methods, Volume 2, Number 3, pp. 1-14, ISSN 2160-0635, doi.10.5729/amcm.vol2.issue3.1



Pasqui M. and Di Giuseppe E., 2016: Chapter 1Evidenze dei cambiamenti climatici
 nella variabilità della temperatura in Italia” in Stato, prospettive e fabbisogni della ricerca italiana in zootecnia nel contesto dei cambiamenti climatici, Quaderno IV_2015, Supplemento a “I Georgofili. Atti della Accademia dei Georgofili” Anno 2015 - Serie VIII - Vol. 12

Esposito S., Beltrano M.C., De Natale F., Di Giuseppe E., Iafrate L., Libertà A., Parisse B., Scaglione M.., 2015: “Atlante Italiano del clima e dei cambiamenti climatici”, Editor: Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Unità di Ricerca per la climatologia e la meteorologia applicate all'agricoltura, Roma, pp. 264, ISBN: 978-88-978081-80-7

Di Giuseppe E., Jona Lasinio G., Pasqui M. and Esposito S.: “Predicting Rainfall Fields from Lightning Records: A Hierarchical Bayesian Approach”, pp. 95-99, http://dx.doi.org/10.1007/978-3-319-02084-6_19, Springer International Publishing  in Lanzarone E., Ieva F. 2014: The Contribution of Young Researchers to Bayesian Statistics, Springer Proceedings in Mathematics & Statistics, Volume 63.


Di Giuseppe E. et al., 2012: Chapter 2: “Climate change scenarios, impacts on agriculture and adaptation” in White Paper: Challenges and opportunities of rural development for mitigation and adaptation to climate change. Italian Ministry of Agriculture, Edited by IMAGO EDITRICE srl, 01/2012, ISBN: 9788896095119

Conference Publications

R. Magno, M. Pasqui and E. Di Giuseppe, 2016: Analysis of changes in drought occurrence over the Mediterranean Basin using multiple time scales SPI index, EMS Annual Meeting Abstracts, Vol. 13, EMS2016-425, 16th EMS/11th ECAC.


M. Pasqui and E. Di Giuseppe, 2016: “Large scale atmospheric drivers for heat waves in the Mediterranean Basin”, Geophysical Research Abstracts, Vol. 18, EGU2016-14124-1, EGU General Assembly 2016


R. Magno, L. Angeli, M. Chiesi, T. De Filippis, E. Di Giuseppe, M. Pasqui, L. Rocchi, F. Zabini, 2015: “Implementation of a national drought monitoring and forecasting system”, Conference: Earth Observation for Water Cycle Science 2015, At ESA-ESRIN Frascati, Rome


Pasqui M., Melani S., Pasi F., Gozzini B., Gaetani M., Di Giuseppe E., Levizzani V., 2013: “Retrospective analysis of synoptic favourable conditions for deep convective events in the Mediterranean Sea”. European Conference on Severe Storms, Helsinki; 06/2013

A. Vitali, N. Lacetera, A Nardone, U. Bernabucci, L. Bertocchi, E. Di Giuseppe,  M.C. Beltrano, S. Esposito, 2011: “Heat wave impacts on dairy cattle mortality”, Italian Journal of Agrometeorology,  Abstract of XIV Agrometeorology Italian Conference, Bologna, 7-9 Giugno 2011.


S. Giavante, E. Di Giuseppe, S. Esposito, 2009: “Flat steps models for the analysis of temperature and precipitation italian time series from 1961 to 2007”, Statistical Methods for the analysis of large data-sets - Book of short papers, 427-430

Di Giuseppe E., Esposito S., Vento D., 2007: “A comparison of models in return levels calculating”, IUGG – XXIV International Union of Geodesy and Geophysic, Perugia, Italy 2-13 July, IAHS/HW2003 4570, pag. 626, www.iugg2007perugia.it,  ISBN: 978-88-95852-25-4.


Ferrari R., Pasqui M., Bottai L., Esposito S., Di Giuseppe E., 2005: “Assessment of soil erosion estimate based on a high temporal resolution rainfall dataset”, EMS 5th Annual Meeting Abstracts, EMS05-A-00285 European Meteorological Society,  www.cosis.net/abstracts/EMS05/00285/EMS05-A-00285.pdf


E. Di Giuseppe, D. Vento, C. Epifani, S. Esposito, 2005: “Analysis of dry and wet spells from 1870 to 2000 in four Italian sites”, EGU European Geosciences Union, Geophysical Research Abstracts, Vol. VII , 07712

Conference Talks

Di Giuseppe E., Jona Lasinio G., Pasqui M. and Esposito S., 2013: Predicting Rainfall Fields from Lightning Records: A Hierarchical Bayesian Approach, http://web.mi.imati.cnr.it/conferences/BAYSM2013/program.html, First Bayesian Young Statisticians Meeting-BAYSM 2013, Milan, Italy, June 5-6, 2013.

Di Giuseppe E., Jona Lasinio G., Pasqui M., Esposito S., 2012: Point Processes for modeling lightning data, https://dl.dropboxusercontent.com/u/240732/geoENV2012Program.pdf, IX Conference on Geostatistics for Envioronmental Applications geoENV2012, Valencia, Spain, September 19--21, 2012, Editor: J. Jaime Gomez-Hern\'andez, ISBN: 978-84-8363-924-5.

Di Giuseppe E., Jona Lasinio G., Pasqui M., Esposito S., 2010: Functional clustering of Temperature and Precipitation data for Italian climate zones determination, http://local.disia.unifi.it/gfkl-cladag/agenda.php, Gfkl-Cladag Joint Meeting 2010, Book of Abstract 8-10 September 2010, Firenze, Italy, pp. 151-152.

Di Giuseppe E., Jona Lasinio G., Esposito S. and Pasqui M., 2010: A functional data approach for climate zones identification, http://imsc.pacificclimate.org/proceedings/11IMSC.pdf, 11th International Meeting on Statistical Climatology Program\&Abstracts, pp. 140-141, 12-16 July 2010, Edinburgh, Scotland.


Other Skills

R programming


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