This page has only limited features, please log in for full access.

Unclaimed
Tiziana De Filippis
Istituto per la BioEconomia–Consiglio Nazionale delle Ricerche (IBE-CNR), 50019 Sesto Fiorentino, Italy

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 14 June 2021 in Water
Reads 0
Downloads 0

Niamey, the capital of Niger, is particularly prone to floods, since it is on the banks of the Niger River, which in its middle basin has two flood peaks: one in summer (the red flood) and one in winter (the black flood). In 2020, the Niger River in Niamey reached its all-time highest levels following an abundant rainy season. On the other hand, the floods in Niamey have been particularly frequent in the last decade, a symptom of a change in hydroclimatic behaviour already observed since the end of the great droughts of the 1970s and 1980s and which is identified with the name of Sahelian Paradox. This study, starting from the analysis of the 2020 flood and from the update of the rating curve of the Niamey hydrometric station, analyses the rainfall–runoff relationship on the Sahelian basins of the Medium Niger River Basin (MNRB) that are at the origin of the local flood. The comparative analysis of runoffs, annual maximum flows (AMAX) and runoff coefficients with various rainfall indices calculated on gridded datasets allowed to hydroclimatically characterise the last decade as a different period from the wet one before the drought, the dry one and the post-drought one. Compared to the last one, the current period is characterised by a sustained increase in hydrological indicators (AMAX +27%) consistent with the increase in both the accumulation of precipitation (+11%) and the number (+51%) and magnitude (+54%) of extreme events in the MNRB. Furthermore, a greater concentration of rainfall and extremes (+78%) in August contributes to reinforcing the red flood’s positive anomalies (+2.23 st.dev in 2020). The study indicates that under these conditions the frequency of extreme hydrological events in Niamey will tend to increase further also because of the concurrence of drivers such as river-bed silting and levee effects. Consequently, the study concludes with the need for a comprehensive flood-risk assessment on the Niamey city that considers both recent hydroclimatic trends and urbanisation dynamics in flood zones hence defining the most appropriate risk-reduction strategies.

ACS Style

Giovanni Massazza; Maurizio Bacci; Luc Descroix; Mohamed Ibrahim; Edoardo Fiorillo; Gaptia Katiellou; Geremy Panthou; Alessandro Pezzoli; Maurizio Rosso; Elisa Sauzedde; Andrea Terenziani; Tiziana De Filippis; Leandro Rocchi; Sara Burrone; Maurizio Tiepolo; Théo Vischel; Vieri Tarchiani. Recent Changes in Hydroclimatic Patterns over Medium Niger River Basins at the Origin of the 2020 Flood in Niamey (Niger). Water 2021, 13, 1659 .

AMA Style

Giovanni Massazza, Maurizio Bacci, Luc Descroix, Mohamed Ibrahim, Edoardo Fiorillo, Gaptia Katiellou, Geremy Panthou, Alessandro Pezzoli, Maurizio Rosso, Elisa Sauzedde, Andrea Terenziani, Tiziana De Filippis, Leandro Rocchi, Sara Burrone, Maurizio Tiepolo, Théo Vischel, Vieri Tarchiani. Recent Changes in Hydroclimatic Patterns over Medium Niger River Basins at the Origin of the 2020 Flood in Niamey (Niger). Water. 2021; 13 (12):1659.

Chicago/Turabian Style

Giovanni Massazza; Maurizio Bacci; Luc Descroix; Mohamed Ibrahim; Edoardo Fiorillo; Gaptia Katiellou; Geremy Panthou; Alessandro Pezzoli; Maurizio Rosso; Elisa Sauzedde; Andrea Terenziani; Tiziana De Filippis; Leandro Rocchi; Sara Burrone; Maurizio Tiepolo; Théo Vischel; Vieri Tarchiani. 2021. "Recent Changes in Hydroclimatic Patterns over Medium Niger River Basins at the Origin of the 2020 Flood in Niamey (Niger)." Water 13, no. 12: 1659.

Journal article
Published: 13 December 2020 in Water
Reads 0
Downloads 0

In the last decades since the dramatic increase in flood frequency and magnitude, floods have become a crucial problem in West Africa. National and international authorities concentrate efforts on developing early warning systems (EWS) to deliver flood alerts and prevent loss of lives and damages. Usually, regional EWS are based on hydrological modeling, while local EWS adopt field observations. This study aims to integrate outputs from two regional hydrological models—Niger HYPE (NH) and World-Wide HYPE (WWH)—in a local EWS developed for the Sirba River. Sirba is the major tributary of Middle Niger River Basin and is supported by a local EWS since June 2019. Model evaluation indices were computed with 5-day forecasts demonstrating a better performance of NH (Nash–Sutcliffe efficiency NSE = 0.58) than WWH (NSE = 0.10) and the need of output optimization. The optimization conducted with a linear regression post-processing technique improves performance significantly to “very good” for NH (Heidke skill score HSS = 0.53) and “good” for WWH (HSS = 0.28). HYPE outputs allow to extend local EWS warning lead-time up to 10 days. Since the transfer informatic environment is not yet a mature operational system 10–20% of forecasts were unfortunately not produced in 2019, impacting operational availability.

ACS Style

Giovanni Massazza; Vieri Tarchiani; Jafet C. M. Andersson; Abdou Ali; Mohamed Housseini Ibrahim; Alessandro Pezzoli; Tiziana De Filippis; Leandro Rocchi; Bernard Minoungou; David Gustafsson; Maurizio Rosso. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River. Water 2020, 12, 3504 .

AMA Style

Giovanni Massazza, Vieri Tarchiani, Jafet C. M. Andersson, Abdou Ali, Mohamed Housseini Ibrahim, Alessandro Pezzoli, Tiziana De Filippis, Leandro Rocchi, Bernard Minoungou, David Gustafsson, Maurizio Rosso. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River. Water. 2020; 12 (12):3504.

Chicago/Turabian Style

Giovanni Massazza; Vieri Tarchiani; Jafet C. M. Andersson; Abdou Ali; Mohamed Housseini Ibrahim; Alessandro Pezzoli; Tiziana De Filippis; Leandro Rocchi; Bernard Minoungou; David Gustafsson; Maurizio Rosso. 2020. "Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River." Water 12, no. 12: 3504.

Journal article
Published: 28 February 2020 in Sustainability
Reads 0
Downloads 0

Floods have recently become a major hazard in West Africa (WA) in terms of both their magnitude and frequency. They affect livelihoods, infrastructure and production systems, hence impacting on Sustainable Development (SD). Early Warning Systems (EWS) for floods that properly address all four EWS components, while also being community and impact-based, do not yet exist in WA. Existing systems address only the main rivers, are conceived in a top-down manner and are hazard-centered. This study on the Sirba river in Niger aims to demonstrate that an operational community and impact-based EWS for floods can be set up by leveraging the existing tools, local stakeholders and knowledge. The main finding of the study is that bridging the gap between top-down and bottom-up approaches is possible by directly connecting the available technical capabilities with the local level through a participatory approach. This allows the beneficiaries to define the rules that will develop the whole system, strengthening their ability to understand the information and take action. Moreover, the integration of hydrological forecasts and observations with the community monitoring and preparedness system provides a lead time suitable for operational decision-making at national and local levels. The study points out the need for the commitment of governments to the transboundary sharing of flood information for EWS and SD.

ACS Style

Vieri Tarchiani; Giovanni Massazza; Maurizio Rosso; Maurizio Tiepolo; Alessandro Pezzoli; Mohamed Housseini Ibrahim; Gaptia Lawan Katiellou; Paolo Tamagnone; Tiziana De Filippis; Leandro Rocchi; Valentina Marchi; Elena Rapisardi. Community and Impact Based Early Warning System for Flood Risk Preparedness: The Experience of the Sirba River in Niger. Sustainability 2020, 12, 1802 .

AMA Style

Vieri Tarchiani, Giovanni Massazza, Maurizio Rosso, Maurizio Tiepolo, Alessandro Pezzoli, Mohamed Housseini Ibrahim, Gaptia Lawan Katiellou, Paolo Tamagnone, Tiziana De Filippis, Leandro Rocchi, Valentina Marchi, Elena Rapisardi. Community and Impact Based Early Warning System for Flood Risk Preparedness: The Experience of the Sirba River in Niger. Sustainability. 2020; 12 (5):1802.

Chicago/Turabian Style

Vieri Tarchiani; Giovanni Massazza; Maurizio Rosso; Maurizio Tiepolo; Alessandro Pezzoli; Mohamed Housseini Ibrahim; Gaptia Lawan Katiellou; Paolo Tamagnone; Tiziana De Filippis; Leandro Rocchi; Valentina Marchi; Elena Rapisardi. 2020. "Community and Impact Based Early Warning System for Flood Risk Preparedness: The Experience of the Sirba River in Niger." Sustainability 12, no. 5: 1802.

Journal article
Published: 02 February 2018 in Geosciences
Reads 0
Downloads 0

A drought-monitoring and forecasting system developed for the Tuscany region was improved in order to provide a semi-automatic, more detailed, timely and comprehensive operational service for decision making, water authorities, researchers and general stakeholders. Ground-based and satellite data from different sources (regional meteorological stations network, MODIS Terra satellite and CHIRPS/CRU precipitation datasets) are integrated through an open-source, interoperable SDI (spatial data infrastructure) based on PostgreSQL/PostGIS to produce vegetation and precipitation indices that allow following of the occurrence and evolution of a drought event. The SDI allows the dissemination of comprehensive, up-to-date and customizable information suitable for different end-users through different channels, from a web page and monthly bulletins, to interoperable web services, and a comprehensive climate service. The web services allow geospatial elaborations on the fly, and the geo-database can be increased with new input/output data to respond to specific requests or to increase the spatial resolution.

ACS Style

Ramona Magno; Tiziana De Filippis; Edmondo Di Giuseppe; Massimiliano Pasqui; Leandro Rocchi; Bernardo Gozzini. Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region. Geosciences 2018, 8, 49 .

AMA Style

Ramona Magno, Tiziana De Filippis, Edmondo Di Giuseppe, Massimiliano Pasqui, Leandro Rocchi, Bernardo Gozzini. Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region. Geosciences. 2018; 8 (2):49.

Chicago/Turabian Style

Ramona Magno; Tiziana De Filippis; Edmondo Di Giuseppe; Massimiliano Pasqui; Leandro Rocchi; Bernardo Gozzini. 2018. "Semi-Automatic Operational Service for Drought Monitoring and Forecasting in the Tuscany Region." Geosciences 8, no. 2: 49.

Journal article
Published: 01 February 2018 in Advances in Science and Research
Reads 0
Downloads 0

Accessibility, availability, re-use and re-distribution of scientific data are prerequisites to build climate services across Europe. From this perspective the Institute of Biometeorology of the National Research Council (IBIMET-CNR), aiming at contributing to the sharing and integration of research data, has developed a research data infrastructure to support the scientific activities conducted in several national and international research projects. The proposed architecture uses open-source tools to ensure sustainability in the development and deployment of Web applications with geographic features and data analysis functionalities. The spatial data infrastructure components are organized in typical client–server architecture and interact from the data provider download data process to representation of the results to end users. The availability of structured raw data as customized information paves the way for building climate service purveyors to support adaptation, mitigation and risk management at different scales.This work is a bottom-up collaborative initiative between different IBIMET-CNR research units (e.g. geomatics and information and communication technology – ICT; agricultural sustainability; international cooperation in least developed countries – LDCs) that embrace the same approach for sharing and re-use of research data and informatics solutions based on co-design, co-development and co-evaluation among different actors to support the production and application of climate services. During the development phase of Web applications, different users (internal and external) were involved in the whole process so as to better define user needs and suggest the implementation of specific custom functionalities. Indeed, the services are addressed to researchers, academics, public institutions and agencies – practitioners who can access data and findings from recent research in the field of applied meteorology and climatology.

ACS Style

Tiziana De Filippis; Leandro Rocchi; Elena Rapisardi. An interoperable research data infrastructure to support climate service development. Advances in Science and Research 2018, 14, 335 -340.

AMA Style

Tiziana De Filippis, Leandro Rocchi, Elena Rapisardi. An interoperable research data infrastructure to support climate service development. Advances in Science and Research. 2018; 14 ():335-340.

Chicago/Turabian Style

Tiziana De Filippis; Leandro Rocchi; Elena Rapisardi. 2018. "An interoperable research data infrastructure to support climate service development." Advances in Science and Research 14, no. : 335-340.

Preprint content
Published: 27 September 2016
Reads 0
Downloads 0

In Sub-Saharan Africa analysis tools and models based on meteorological satellites data have been developed within different national and international cooperation initiatives, with the aim of allowing a better monitoring of the cropping season. In most cases, the software was a stand-alone application and the upgrading, in terms of analysis functions, database and hardware maintenance, was difficult for the National Meteorological Services (NMSs) in charge of agro-hydro-meteorological monitoring. The web-based solution proposed in this work intends to improve and ensure the sustainability of applications to support national Early Warning Systems (EWSs) for food security. The Crop Risk Zones (CRZ) model for Niger and Mali, integrated in a web-based open source framework, has been implemented using PL/pgSQL & PostGIS functions to process different meteorological data sets: a) the rainfall precipitation forecast images from Global Forecast System (GFS) b) the Climate Prediction Center (CPC) Rainfall Estimation (RFE) for Africa c) Multi-Sensor Precipitation Estimate (MPE) images from EUMETSAT Earth Observation Portal d) the MOD16 Global Terrestrial Evapotranspiration Data Set. Restful Web Services upload raster images into the PostgreSQL/PostGIS database. PL/pgSQL functions are used to run the CRZ model to identify installation and phenological phases of the main crops in the Region and to create crop risk zones images. This model is focused on the early identification of risks and the production of information for food security within the time prescribed for decision-making. The challenge and the objective of this work is to set up an open access monitoring system, based on meteorological open data providers, targeting NMSs and any other local decision makers for drought risk reduction and resilience improvement.

ACS Style

Tiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. 2016, 1 .

AMA Style

Tiziana De Filippis, Leandro Rocchi, Patrizio Vignaroli, Maurizio Bacci, Vieri Tarchiani, Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. . 2016; ():1.

Chicago/Turabian Style

Tiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. 2016. "Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa." , no. : 1.

Preprint
Published: 27 September 2016
Reads 0
Downloads 0

In Sub-Saharan Africa analysis tools and models based on meteorological satellites data have been developed within different national and international cooperation initiatives, with the aim of allowing a better monitoring of the cropping season. In most cases, the software was a stand-alone application and the upgrading, in terms of analysis functions, database and hardware maintenance, was difficult for the National Meteorological Services (NMSs) in charge of agro-hydro-meteorological monitoring. The web-based solution proposed in this work intends to improve and ensure the sustainability of applications to support national Early Warning Systems (EWSs) for food security. The Crop Risk Zones (CRZ) model for Niger and Mali, integrated in a web-based open source framework, has been implemented using PL/pgSQL & PostGIS functions to process different meteorological data sets: a) the rainfall precipitation forecast images from Global Forecast System (GFS) b) the Climate Prediction Center (CPC) Rainfall Estimation (RFE) for Africa c) Multi-Sensor Precipitation Estimate (MPE) images from EUMETSAT Earth Observation Portal d) the MOD16 Global Terrestrial Evapotranspiration Data Set. Restful Web Services upload raster images into the PostgreSQL/PostGIS database. PL/pgSQL functions are used to run the CRZ model to identify installation and phenological phases of the main crops in the Region and to create crop risk zones images. This model is focused on the early identification of risks and the production of information for food security within the time prescribed for decision-making. The challenge and the objective of this work is to set up an open access monitoring system, based on meteorological open data providers, targeting NMSs and any other local decision makers for drought risk reduction and resilience improvement.

ACS Style

Tiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. 2016, 1 .

AMA Style

Tiziana De Filippis, Leandro Rocchi, Patrizio Vignaroli, Maurizio Bacci, Vieri Tarchiani, Elena Rapisardi. Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa. . 2016; ():1.

Chicago/Turabian Style

Tiziana De Filippis; Leandro Rocchi; Patrizio Vignaroli; Maurizio Bacci; Vieri Tarchiani; Elena Rapisardi. 2016. "Open source geoprocessing tools and meteorological satellite data for crop risk zones monitoring in Sub-Saharan Africa." , no. : 1.

Journal article
Published: 06 June 2006 in Advances in Geosciences
Reads 0
Downloads 0

IBIMET-CNR is involved in making different research projects and in managing operational programmes on national and international level and has acquired a relevant training competence to sustain partner countries and improve their methodological and operational skills by using innovative tools, such as Geographical Information Systems focused on the development of meteorological and climatological applications. Training activities are mainly addressed to National Meteorological and Hydrological Services of Partner-Countries and/or to other Specialized Centers in the frame of Cooperation Programmes promoted by the Italian Ministry of Foreign Affairs mainly in favour of the Less Developing Countries (LDC) of World Meteorological Organisation (WMO) Regional Association I (Africa). The Institute, as a branch of the WMO-Regional Meteorological Training Centre for Region VI (Europe), organizes also international training courses of high-level in Meteorology, Climatology and Remote Sensing applied to environment and agriculture fields. Moreover, considering the increasing evolution of the GIS functions for meteorological information users, IBIMET has promoted in 2005 the EU COST Action 719 Summer School on "GIS applications in meteorology and climatology''. The paper offers an overview of the main institute training programmes organised to share the results of research activities and operational projects, through the exploitation of innovative technologies and tools like GIS.

ACS Style

T. De Filippis; A. Di Vecchia; G. Maracchi; F. Sorani. Training programme for the dissemination of climatological and meteorological applications using GIS technology. Advances in Geosciences 2006, 8, 19 -25.

AMA Style

T. De Filippis, A. Di Vecchia, G. Maracchi, F. Sorani. Training programme for the dissemination of climatological and meteorological applications using GIS technology. Advances in Geosciences. 2006; 8 ():19-25.

Chicago/Turabian Style

T. De Filippis; A. Di Vecchia; G. Maracchi; F. Sorani. 2006. "Training programme for the dissemination of climatological and meteorological applications using GIS technology." Advances in Geosciences 8, no. : 19-25.