AISRe Associazione Italiana Scienze Regionali XXXIX Conferenza Scientifica

AISRe Associazione Italiana Scienze Regionali XXXIX Conferenza Scientifica Annuale Bolzano, 17 -19 settembre 2018 Climate Change Adaptation Policies and Urban Systems. An application of Indices on Extreme Climate Events on Italian Regional Municipalities Donatella Vignani Francesca Budano Claudia Busetti Istat, Italian National Institute of Statistics Environmental and Territorial Statistics Department

Aim of presentation Climate variability and changes • International scientific framework and recommendations • EU and National strategy on adaptation to Climate Changes • Local adaptation plans Meteo-climatic statistics and Climate. Change • Importance of CC analysis in city governance • Needs of meteo-climatic statistics for CC analysis • Role of NSOs to improve CC and Related Statistics and Indicators (CCRSI) An application of Indices on Extreme Climate Events on Italian Regional Municipalities by Istat • Indices on Extreme Climate Events: International methodological framework • Istat Meteo-climatic and hydrological data Survey • Main results on temperature and precipitation • Indices on Extreme Climate Events about 21 Italian Regional Municipalities Conclusions and futher work developments D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 2

Climate Changes (CC) and International Organizations § Climate Change is in place in may areas of the World § Climate Change (CC) mitigation and adaptation, disaster risk reduction are priorities objectives for many International Institutions § the United Nations encourage: § analyses and research to integrate adaptation into national policy § all countries to improve their knowledge of potential CC impacts and future risks, to adopt responses strategies for adaptation and mitigation § Intergovernmental Panel on Climate Change (IPCC) is the United Nations UN body for assessing the science related to CC, set up by the World Meteorological Organization (WMO) and UN Environment Programme (UNEP) § provide policymakers with assessments of CC scientific basis, development of climate models, predictions, scenarios and projections on global and regional scales D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 3

Climate variability and changes: Adaptation Plans in EU § European Commission adopted in april 2013 an EU strategy on adaptation to CC to make Europe more climate-resilient, with the objective to enhance capacity of all governance levels to respond to CC impacts § CC impacts evaluation, vulnerability analysis, adaptation and mitigation actions in Member States § Italy has approved in 2015 a National Strategy of Adaptation to Climate identifies main impacts and first adaptation responses § National Adaptation Plan to CC (PNACC) supports national, regional and local public institutions to: ü ü contain the vulnerability of natural, social and economic systems to CC impacts increase their adaptative capacity improve the exploitation of possible alternative opportunities encourage the coordination of actions at different levels, subsidiarity § according to subsidiarity, efficient political decisions should be taken at a local level about CC matter and urban system protections and governance 2013 Ancona and Bologna municipalities Local Adaptation Plans D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 4

Local Adaptation plans in Italy: Bologna November 2013 Bologna Adaptation Strategy Plan to Climate Change (LIFE project BLUE AP) Objectives: urban renewal aimed at a reduction of soil consumption and regeneration of areas with abandoned buildings (brownfields) § main CC impacts: ü drought and water scarcity ü heat weaves in urban areas ü extreme events of precipitation and hydro-geological risk § adaptation measures: ü include adaptation measures in the City’s Building Code to more efficient management of CC effects ü define guidelines for infrastructures at risk to improve infrastructural reactions during extreme meteorological events ü launch a green roofs campaign to promote the spreading of green roofs ü improve the rainwater harvesting capacity of waterproof areas ü collect rainwater to reuse it as a resource (for WC drainage, irrigation of green areas) ü promote insurance schemes, by informing companies and citizens about insurance policies against extreme climate events ü political decisions (governance processes, financial budget, etc. . ) D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 5

Local Adaptation plans in Italy: Ancona July 2013 Ancona Local Adaptation Plan: § main CC impacts: ü landslides ü coastal erosion ü impacts on infrastructure connectivity and mobility ü impacts on cultural heritage § adaptation misures: ü management actions to improve knowledge on erosion ü training for the creation of specific professionals for assessment, monitoring and analysis of the historical and cultural heritage ü improvement of warning mechanism: enhancement and optimisation of the early warning system of Ancona’s landslide ü political decisions (governance processes, financial budget, etc. . ) ü technological infrastructure actions, to improve and extend technologies for monitoring landslides and coasts protection ü defence of the coast by moving back from the coastline bathing establishments and restaurants ü restoration of full functionality and safety of railway and Via Flaminia road ü enanched public awareness through public information campaigns D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 6

Climtate Change Related Statistics and Indicators (CCRSI) § Meteo-climatic statistics and Indices can describe climate variability and changes. Long time series of data represents useful tools for policy makers designing efficient policy, supporting adaptation and disaster risk analysis and actions in cities governance § Standardized, complete and comparable information systems are needed to develop such complex analysis. Information from different sources and domains: urban systems, infrastructures, economy, demography, meteclimatic data § integration of statistical and geographical information is crucial to build a complete and updated knowledge framework at local scale § to provide common methodologies and internationally comparable CC Related Statistics and Indicators (CCRSI) referenced statistical frameworks have been developed by international Organizations § NSOs are called to enhance their role to provide high quality statistics reliable, consistent, timely, comparable, accessible D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 7

NSOs role to provide CCRSI § official statistics already available but produced with different purposes make existing statistics useful for CC analysis and produce ‘new statistics’ § data provided by different producers coordination, standardization, cooperation at national and international level among agencies, public institutions, research centers § new data to be provided meet users information needs cooperation, coordination reliable statistics Key concepts standardization of terminology, classifications, methodologies integrated multidimensional interdisciplinary approach methodologically sound several data providers several sources international comparable indicators D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano, 17 -19 Settembre 2018 8

Istat Survey on Meteo-climatic and hydrological data 1/2 FARE Meteo-climatic and hydrological data survey (PSN IST-02190) Objective • development of a geographic database of meteoclimatic and hydrological data • providing tools to analyze meteo-climatic conditions in Regional municipalities Observation field • daily data on precipitation and temperature minimum, mean and maximum Unit of analysis • 484 metereological stations, 122 located within the municipal territories Sources • 65 Institutions and agencies involved, managing national networks of georeferenced gauging stations • among main providers: Air Force Weather Service, Enav, Council for Research in Agricolture and Analysis of Agriculture Economics, Agency for Environmental Protection, Regions, Provinces, ARPA, River Basin Autohorities D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018

Istat Survey on Meteo-climatic and hydrological data FARE 2/2 Period observed • time series 1971 - 2016 • Climatic Normal (CLINO) 1971 -2000 as climatic base • 2002 -2016 with respect to CLINO value, to analyse climatic variability Results • temperature and precipitation mean by year • Indices on Extreme Climate Events (ETCCDI) on precipitation and temperature calculated for 21 Italian Regional Municipality (IECE-RIM) • assessment of climatic variability and persistence of phenomena (by each gauging station) with reference to the CLINO value Istat official dissemination • meteoclimatic survey information https: //www. istat. it/it/archivio/202875 • Meteoclimatic Statistics Report 2018 https: //www. istat. it/it/archivio/217402 D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 10

Indices on Extreme Climate Events (ETCCDI) § International methodological framework World Climate Research Program (WCRP) United Nations (UN) International Council for Science (ICSU) World Meteorological Organization (WMO) Intergovernmental Oceanographic Commission UNESCO Expert Team on Climate Change Detection and Indices (ETCCDI) § provides international coordination/collaboration on CC detection, Indices relevant to CC detection, specific methodologies § encourages modelled data and observations comparison at different spatial scale § http: //etccdi. pacificclimate. org/list_27_indices. shtml § Istat developed a set of ETCCDI for 21 Italian Regional Municipalities o 6 Indices based on precipitations o 9 Indices based on temperatures o period analyzed 2002 -2016 compared to the Climatic Normal 1971 -2000 D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018

Indices on Extreme Climate Events on Italian Regional Municipalities ETCCDI Temperature indices • • • Summer days (SU 25) Tropical nights (TR 20) Warm days (TX 90 p) Warm nights (TN 90 p) Warm speel duration (WSDI) • • Frost days (FD 0) Cool days (TX 10 p) Cool nights (TN 10 p) Cold speel duration (CSDI) annual count of days when daily max temp TX > 25 o. C annual count of days when daily min temp TN > 20 o. C annual count of days when TX > 90 th percentile annual count of days when TN > 90 th percentile annual count of days with at least 6 consecutive days when TX > 90 th percentile annual count of days when daily min temp TN < 0 o. C annual count of days when TX < 10 th percentile annual count of days when TN < 10 th percentile annual count of days with at least 6 consecutive days when TN <10 th percentile ETCCDI Precipitation indices • • Rainy days (R 1) Very intense precipitation days (R 20) Extremely intense precip. days (R 50) Consecutive days with rain (CWD) annual count of days when PRCP≥ 1 mm annual count of days when PRCP≥ 20 mm. annual count of days when PRCP≥ 50 mm max length of wet spell, max number consecutive days with RR ≥ 1 mm • Consecutive days without rain (CDD ) max length of dry spell, max number consecutive days with RR < 1 mm • Precipitation on very rainy days (R 95 p) total PRCP when RR > 95 p • Annual total precipitation (PRCPTOT) annual total precipitation when PRCP ≥ 1 mm D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018

Mean temperature and mean total precipitation by municipality MEAN TEMPERATURE (°C) MUNICIPALITY MEAN TOTAL PRECIPITATION (mm) 2002 -2016 climatic value 1971 -2000 14, 8 11, 8 16, 5 15, 4 13, 3 13, 2 14, 9 15, 2 16, 4 14, 9 17 16, 9 12, 8 13, 5 17 17, 6 13, 5 17 19, 1 18, 3 13, 4 10, 9 16 14 12, 1 12, 3 14, 1 14, 6 15, 4 13, 5 15, 6 15, 8 11, 9 12, 2 15, 9 17 12, 7 16, 3 18, 5 17, 8 938, 1 521, 3 1064, 5 830, 4 699, 9 987, 7 700 914 802, 4 776, 6 875, 6 736, 1 768, 2 640, 6 713, 8 883, 7 609, 5 754, 3 1096, 9 636, 5 387, 6 872, 1 526, 8 1270, 7 955, 8 692, 1 901, 5 804, 8 986, 4 755 815 783, 8 675, 4 789, 3 686, 1 551, 8 976, 1 529, 7 677, 2 960, 1 469, 7 403, 5 D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 13 Torino Aosta Genova Milano Bolzano/Bozen Trento Venezia Trieste Bologna Firenze Perugia Ancona Roma L'Aquila Campobasso Napoli Bari Potenza Catanzaro Palermo Cagliari Source: Istat, Survey on Meteo-climatic and hydrological data

Temperature main results 1/2 Differences of annual mean temperature of the stations on 1971 -2000 mean value (climatic anomalies on CLINO), by year, absolute values in °C 1. 5 1 0. 5 0 2014 annual mean temperature 16, 0°C is the highest value since 1971 Source: Istat, Survey on Meteo-climatic and hydrological Data 2017 D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 14 2016 2011 2006 2001 1996 1991 1986 1981 1976 -1 1971 -0. 5

Temperature main results 2/2 Differences of 2002 -2016 mean values of minimum, mean and maximum temperature on the 1971 -2000 mean value (CLINO), by municipality, absolute values in °C 2. 5 Mean temperature Min temperature Max temperature 2 1. 5 1 0. 5 Perugia Ancona Milano Torino Trieste Bolzano Roma Napoli Firenze Trento L'Aquila Aosta Potenza Venezia Catanzaro Palermo Bari the minimum temperature corresponds to the climatic value of the period 1971 -2000 Campobasso [1] Bologna Cagliari (1) -0. 5 Genova 0 Source: Istat, Survey on Meteo-climatic and hydrological Data 2002 -2016 mean value of mean temperature of the cities = 15, 5°C (+ 1°C on the CLINO value) 2002 -2016 mean value of annual mean temperature increases in all Regional municipalities Cagliari and Genova Perugia and Ancona smallest T mean increase + 0, 5°C highest Tmean increase +1, 5°C D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018

Indices on Extreme Climate Events on temperature (number of days) Summer days (SU 25) Tropical nights (TR 20) 2002 -2016 114 38 70 Warm speel duration (WSDI) 73 24 1971 -2000 88 22 34 33 2002 -2016 92 1 64 1971 -2000 67 1 2002 -2016 79 1971 -2000 MUNICIPALI TY Warm days nights (TX 90 P) (TN 90 P) Frost Cold days (TX 10 P) (FD 0) 1/2 Cold speel nights duration (TN 10 P) (CSDI) 18 9 26 18 9 35 35 34 10 53 21 92 23 37 14 31 30 16 89 31 30 11 67 51 59 13 2 27 26 11 74 55 33 33 7 2 33 33 11 2002 -2016 112 58 82 84 35 11 19 13 8 1971 -2000 93 35 33 33 14 20 34 33 15 Bolzano/Boz 2002 -2016 en 1971 -2000 111 10 40 84 12 76 26 10 - 100 1 28 25 10 96 28 27 8 2002 -2016 96 11 54 53 17 50 23 14 6 1971 -2000 85 7 27 26 9 64 29 27 9 2002 -2016 80 61 53 75 22 11 33 16 9 1971 -2000 77 43 34 32 9 19 34 35 10 2002 -2016 100 60 101 72 41 8 20 24 12 1971 -2000 75 42 32 31 10 8 32 31 10 2002 -2016 115 48 52 55 16 18 27 23 9 1971 -2000 112 42 35 34 12 28 35 35 13 2002 -2016 129 38 79 64 30 16 25 23 7 1971 -2000 116 22 34 36 10 13 34 30 12 Torino Aosta Genova Milano Trento Venezia Trieste Bologna Firenze Source: Istat, Survey on Meteo-climatic and hydrological Data D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 16

Indices on Extreme Climate Events on temperature (number of days) MUNICIPALI TY 2002 -2016 1971 -2000 2002 -2016 Ancona 1971 -2000 2002 -2016 Roma 1971 -2000 2002 -2016 L'Aquila 1971 -2000 2002 -2016 Campobasso 1971 -2000 2002 -2016 Napoli 1971 -2000 2002 -2016 Bari 1971 -2000 2002 -2016 Potenza 1971 -2000 2002 -2016 Catanzaro 1971 -2000 2002 -2016 Palermo 1971 -2000 2002 -2016 Cagliari 1971 -2000 Perugia Summer days (SU 25) Tropical nights (TR 20) 111 78 130 96 135 111 88 72 57 129 108 104 92 87 78 107 92 139 131 145 125 25 14 68 44 47 32 1 1 27 12 54 20 90 69 8 5 70 53 94 73 60 55 Warm days nights (TX 90 P) (TN 90 P) 103 34 96 34 95 33 74 35 56 33 59 31 59 34 60 34 57 33 47 35 77 31 71 34 63 33 56 33 41 34 66 32 84 31 72 33 58 34 56 32 50 35 33 32 Warm speel duration (WSDI) 44 10 43 12 37 10 25 11 20 10 15 10 9 13 19 9 12 13 17 8 23 10 Frost Cold days (TX 10 P) (FD 0) 19 18 5 4 14 14 73 63 24 31 6 6 0 0 25 28 1 1 0 0 17 35 15 33 20 34 10 35 28 34 22 32 26 34 26 35 17 33 28 35 24 32 Source: Istat, Survey on Meteo-climatic and hydrological Data D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 17 1/2 Cold speel nights duration (TN 10 P) (CSDI) 25 9 34 9 26 15 33 12 22 8 33 13 52 10 34 10 21 10 33 10 16 8 32 11 31 12 33 12 26 7 34 10 25 6 33 12 15 7 34 11 34 10 32 14

Precipitation main results 1/2 Difference of annual mean precipitation (climatic anomalies) on the CLINO 19712000 mean value, by year, absolute values in mm 350 250 150 50 -50 2010 is the most rainy year from 1971 Precipitation has a high spatial-temporal variability Source: Istat, Survey on Meteo-climatic and hydrological Data 2017 D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 18 2016 2011 2006 2001 1996 1991 1986 1981 1976 -250 1971 -150

Precipitation main results 2/2 Palermo Catanzaro Perugia Trento Bari Potenza Campobasso Source: Istat, Survey on Meteo-climatic and hydrological Data Torino Ancona Bologna Bolzano Aosta Cagliari Roma Firenze L'Aquila Trieste Napoli Venezia Milano 250 200 150 100 50 0 -50 -100 -150 -200 -250 Genova Difference of 2002 -2016 mean total precipitation on the CLINO 1971 -2000 value, by municipality, absolute values in mm 2002 -2016 annual mean precipitation of all the cities = 778 mm (+1, 6%) Genova highest decrease (-206, 2 mm) Palermo and Campobasso highest increase (+162, 1 and +166, 8 mm) D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018

Indices on Extreme Climate Events on precipitation (number of days, mm) 1/2 MUNICIPALITY Extremely Consecutive Precipitation Very intense Consecutive Rainy days without on very rainy precipitation days with rain (R 1) rain days (R 20) days (CWD) (CDD) (R 95 P) (R 50) 200273 15 2 2016 Torino 197175 14 1 2000 200272 5 1 2016 Aosta 197169 6 1 2000 200274 17 4 2016 Genova 197178 20 5 2000 200277 13 1 2016 Milano 197178 16 1 2000 200277 9 0 2016 Bolzano/Bozen 197178 8 0 2002113 12 0 2016 Trento 1971113 9 1 2000 200274 9 1 2016 Venezia Source: Istat, Survey on Meteo-climatic and hydrological Data 197179 11 1 2000 D. Vignani, F. Budano, 2002 C. Busetti 89 Bolzano , 17 -19 12 Settembre 2018 1 AISRe XXXIX Conferenza scientifica annuale 2016 Trieste 6 26 268, 9 6 27 196, 8 5 25 121, 2 5 25 140, 6 6 25 267, 6 6 24 367, 2 7 26 148, 8 6 26 203, 7 6 27 152, 5 6 26 163, 9 8 24 262, 5 9 26 199, 7 5 26 167, 3 Segue 6 6 20 24 188, 2 25 199, 1

Indices on Extreme Climate Events on precipitation (number of days, mm) 2/2 MUNICIPALITY Extremely Consecutive Precipitation Very intense Consecutive Rainy days without on very rainy precipitation days with rain (R 1) rain days (R 20) days (CWD) (CDD) (R 95 P) (R 50) 200290 11 1 2016 Perugia 197185 9 1 2000 200284 9 1 2016 Ancona 197179 8 1 2000 200277 10 1 2016 Roma 197177 11 1 2000 200287 5 0 2016 L'Aquila 197189 6 0 200288 8 0 2016 Campobasso 197181 5 0 200281 14 2 2016 Napoli 197182 15 2 2000 200274 7 1 2016 Bari Source: Istat, Survey on 1971 Meteo-climatic and hydrological Data 67 6 1 2000 D. Vignani, F. Budano, 2002 C. Busetti 96 7 0 2016 AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 Potenza 1971 - 6 24 214, 5 6 24 179 7 26 181, 4 5 24 167 6 27 178, 5 6 28 186, 6 5 23 118, 4 6 23 144 6 21 223, 4 5 24 125, 8 8 26 235, 5 7 26 255, 3 5 25 153, 2 5 27 136, 2 23 155, 5 7 21

An integrated analysis of ETCCDI indices Differences of summer days (SU 25), tropical nighs (TR 20) and warm speel duration index (WSDI) on CLINO 1971 -2000 value, by year, number of days 30 20 10 0 -10 -20 2011 Source: Istat, Survey on Meteo-climatic and hydrological Data D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 22 2016 Warm speel duration (WSDI) 2006 2001 Tropical nights (TR 20) 1996 1991 1986 1981 1976 -30 1971 Summer days (SU 25)

An integrated analysis of Istat climatic data and urban environmental data Difference of 2002 -2016 monthly mean temperature on CLINO 1971 -2000 value, by four municipalities Milano, Torino, Roma and Palermo, absolute values in °C 30 30 Milano 25 25 20 20 15 15 10 10 5 Mean temperature 2002 -2016 Torino Mean temperature 2002 -2016 5 Mean temperature 1971 -2000 0 25 25 20 20 15 15 10 10 r be r em be em D ec ct ob er N ov be r O em gu st Se pt y Ju l Au Mean temperature 2002 -2016 Mean temperature 1971 -2000 Source: Istat, Survey on Meteo-climatic and hydrological Data D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 23 r be em D ec ct ob er N ov O em be r t gu s Se pt Ju ly Au Ju ne M ay Ap ril ch M ar ry ru a Fe b Ja nu ar y r be r em be D ec em ct ob er N ov O em be r t gu s Se pt Ju ly Au Ju ne M ay h Ap ril ar c M ru a Fe b nu ry 0 ar y 0 ne Palermo 5 Mean temperature 2002 -2016 Ju ay M ril Ap ru ar y M ar ch nu Ja 30 Roma 5 Fe b ar y r be em D ec r em N ov ct ob e be r O em gu st Se pt y Ju l Au ne Ju ay M ril Ap ru ar y M ar ch nu Ja Fe b ar y 0 30 Ja Mean temperature 1971 -2000

Conclusions and further work developments § variability and extreme weather and climate events seem have increasingly affected Italian cities in the last fifteen years, with damages to human health, infrastructures, services delivery, cultural heritage § statistics and indicators, provided for Italian Regional Municipalities, point out relevant variations in minimum and maximum temperatures trend and precipitation patterns § the role of many local public institutions, become increasingly aware of CC impacts on urban systems, is crucial to face CC impacts § the design of efficient CC adaptation and mitigation strategies need inter-disciplinary approaches, to based on involvement and cooperation of different Institutions, agencies and research centers § statistics “more fitness for use” support multidimensional analysis to describe interactions among social, economic and environmental phenomena § meteoclimatic statistics provided by Istat strengthen information available at local and temporal scale to support capacity building in the area of adaptation policy and CC action responses § further developments of Istat work: ü statistics and indicators calculated for Italian provincial municipalities ü integration of statistics of different domains to provide new analyses ü regular update of database through annual survey editions ü strengthening cooperation of Istat with other meteoclimatic data producers D. Vignani, F. Budano, C. Busetti AISRe XXXIX Conferenza scientifica annuale Bolzano , 17 -19 Settembre 2018 24

Istat, Italian National Institute of Statistics Environmental and Territorial Statistics Department Via Cesare Balbo, 16 Rome Information contact: Donatella Vignani vignani@istat. it Responsabile della Rilevazione Dati meteoclimatici ed idrologici Francesca Budano frbudano@istat. it Claudia Busetti busetti@istat. it _____________ Il team di produzione della rilevazione: M. Di Gennaro, F. Budano. C. Busetti, M. G. Filogna, T. Baldoni 25