Výsledky vyhledávání - "Maria Laura Poletti"

SWING, The Score-Weighted Improved NowcastinG Algorithm: Description and Application

Autor: Martina Lagasio, Lorenzo Campo, Massimo Milelli, Vincenzo Mazzarella, Maria Laura Poletti, Francesco Silvestro, Luca Ferraris, Stefano Federico, Silvia Puca, Antonio Parodi

Publikováno v: Water; Volume 14; Issue 13; Pages: 2131

Because of the ongoing climate change, the frequency of extreme rainfall events at the global scale is expected to increase, resulting in higher social and economic impacts. Thus, improving the forecast accuracy and the risk communication is a fundam

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0238da773fb096d18ab9d4aa89346d0

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Developing an operational impact-based flood forecasting system for the Greater Horn of Africa region

Autor: Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Tatiana Ghizzoni, Alessandro Masoero, Chiara Menchise, Maria Laura Poletti, Simone Gabellani, Lauro Rossi, Roberto Rudari, Luca Rossi, Katarina Mouakkid Soltesova, Kai Gatkuoth, Jully Ouma, Ahmed Amdihun, Godefroid Nshimirimana, Yves Tramblay, Marco Massabò

Every year Africa is affected by extreme weather related hazards which, combined with high levels of vulnerability and increasing population exposure, result in considerable impacts to people and assets. Here we present recent activities in the devel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e28a124d5e9d40a40449f2a678c4239
https://doi.org/10.5194/egusphere-egu22-8680

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Operational impact-based flood forecasting in data-scarce environments: the Early Warning System of the Buzi watershed in Mozambique

Autor: Andrea Libertino, Alessandro Masoero, Maria Laura Poletti, Isac Filimone, Matteo Darienzo, Flavio Pignone, Giacomo Fagugli, Lia Romano, Agostinho Vilanculos, Lauro Rossi, Simone Gabellani

Mozambique is one of the countries in Africa most frequently and most seriously affected by natural disasters such as floods, cyclones and droughts. In March 2019 the Cyclone Idai, one of the Southern Hemisphere’s deadliest storms, made landfall in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::75015332037b620f9c03f6b176813e92
https://doi.org/10.5194/egusphere-egu22-8184

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Using a precipitation nowcasting algorithm and 3DVAR assimilation in a cloud resolving Numerical Weather Prediction system to enhance a hydrometeorological nowcasting chain

Autor: Maria Laura Poletti, Martina Lagasio, Francesco Silvestro, Antonio Parodi, Flavio Pignone, Nicola Rebora

The use of the best input for an hydrometeorological chain is one of the key elements to improve the discharge prediction in the framework of early warning system. This fact gains in importance in a region such as Liguria Region , where the presence

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff0f7adcaacde409154f5f60eb765be8
https://doi.org/10.5194/egusphere-egu2020-18229

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Severe hydrometeorological events in Liguria region: calibration and validation of a meteorological indices-based forecasting operational tool

Autor: Maria Laura Poletti, Barbara Turato, Antonio Parodi

Publikováno v: Meteorological Applications. 24:560-570

Severe and organized thunderstorms are historically responsible for high-impact hydrometeorological events in the western Mediterranean area (Spain, France and Italy). This study presents a meteorological indices-based forecasting tool developed by t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::374a575e23b8f6b4e0729a1e45a0426b
https://doi.org/10.1002/met.1653

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Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Autor: Maria Laura Poletti, Nicola Rebora, Francesco Silvestro, Silvio Davolio, Flavio Pignone

Publikováno v: Hydrology and Earth System Sciences Discussions
Hydrology and Earth System Sciences, Vol 23, Pp 3823-3841 (2019)
Hydrology and earth system sciences 23 (2019): 3823–3841. doi:10.5194/hess-23-3823-2019
info:cnr-pdr/source/autori:Poletti, Maria Laura; Silvestro, Francesco; Davolio, Silvio; Pignone, Flavio; Rebora, Nicola/titolo:Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts/doi:10.5194%2Fhess-23-3823-2019/rivista:Hydrology and earth system sciences/anno:2019/pagina_da:3823/pagina_a:3841/intervallo_pagine:3823–3841/volume:23

Forecasting flash floods some hours in advance is still a challenge, especially in environments made up of many small catchments. Hydrometeorological forecasting systems generally allow for predicting the possibility of having very intense rainfall e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff285fbec899fa3f8d11a886e8ac0939
https://www.hydrol-earth-syst-sci.net/23/3823/2019/

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