Luca Nisi

ORCID: 0000-0003-4927-7660
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About
Contact & Profiles
Research Areas
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Cryospheric studies and observations
  • Precipitation Measurement and Analysis
  • Fire effects on ecosystems
  • Lightning and Electromagnetic Phenomena
  • Tree Root and Stability Studies
  • Landslides and related hazards
  • Plant responses to elevated CO2
  • Aeolian processes and effects
  • Arctic and Antarctic ice dynamics
  • Climate change and permafrost
  • Flood Risk Assessment and Management
  • GNSS positioning and interference
  • Effects of Environmental Stressors on Livestock
  • Tropical and Extratropical Cyclones Research
  • Wind and Air Flow Studies
  • Tree-ring climate responses
  • Plant Water Relations and Carbon Dynamics

Federal Office of Meteorology and Climatology MeteoSwiss
2013-2022

University of Bern
2013-2018

Oeschger Centre for Climate Change Research
2015-2018

This article presents a 13‐year hail climatology for Switzerland based on volumetric radar reflectivity. Two radar‐based detection products that are used operationally at MeteoSwiss, namely the Probability of Hail (POH) and Maximum Expected Severe Size (MESHS), have been reprocessed extended convective season (April–September) between 2002 2014. The result these two is comprehensive distribution map, which highlights regional local‐scale characteristics. map annual number days shows high...

10.1002/qj.2771 article EN Quarterly Journal of the Royal Meteorological Society 2016-02-25

In this study, we present a unique 15‐year hail streak climatology for Switzerland based on volumetric radar reflectivity. Two radar‐based detection products and an automatic thunderstorm‐tracking algorithm were reprocessed the extended convective season (April–September) between 2002 2016. More than 1.1 million cells automatically tracked over full domain, 191,000 storms 31,000 streaks in considered subdomain selected analysis following consistency robustness tests. The year‐to‐year...

10.1002/qj.3286 article EN Quarterly Journal of the Royal Meteorological Society 2018-03-23

Abstract Nowcasting of hailstorms still poses a major challenge to weather services, because the limited availability reliable large datasets and short spatio‐temporal scales involved. Two novel Eulerian Lagrangian hail climatologies for Alps are applied address important aspects in Alps: diurnal cycle, their development lightning properties. The database contains more than 100,000 ordinary 30,000 storms (2002–2017). Based on that sample storms, cycle storm initiation evolution is studied...

10.1002/qj.3897 article EN Quarterly Journal of the Royal Meteorological Society 2020-09-03

© 2018 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).CORRESPONDING AUTHOR: Olivia Martius, olivia.martius@giub.unibe.ch

10.1175/bams-d-17-0207.1 article EN Bulletin of the American Meteorological Society 2017-11-02

Abstract Hail is the costliest atmospheric hazard in Switzerland, causing substantial damage to agriculture, cars and buildings every year. In this study, a 12‐year statistic of objectively identified cold fronts radar‐based hail are combined investigate co‐occurrence Switzerland. first step, an automated front identification scheme, which has previously been designed for applied global reanalysis data, modified high‐resolution regional analysis data set. This detection method then adapted,...

10.1002/asl.660 article EN cc-by Atmospheric Science Letters 2016-04-27

The purpose of the operationally oriented system named Context and Scale Oriented Thunderstorm Satellite Predictors Development (COALITION) is automatically to detect severe thunderstorms early in their development consequently help weather forecasters increase lead times when issuing warnings. This new object‐oriented integrates data provided by different sources. Data from Meteosat Second Generation Rapid Scan Service, radar numerical prediction, as well climatology, are utilized system....

10.1002/qj.2249 article EN Quarterly Journal of the Royal Meteorological Society 2013-09-12

Abstract. We present a feasibility study for an object-based method to characterise thunderstorm properties in simulation data from convection-permitting weather models. An existing tracker, the Thunderstorm Identification, Tracking, Analysis and Nowcasting (TITAN) algorithm, was applied thunderstorms simulated by Advanced Research Weather Forecasting (AR-WRF) model at resolution domain centred on Switzerland. Three WRF microphysics parameterisations were tested. The results are compared...

10.5194/gmd-14-6495-2021 article EN cc-by Geoscientific model development 2021-10-27

The 1 st European Hail workshop took place in Bern June 2014.The was organized into five topical session i) Convection and hail a changing climate, ii) Microphysics dynamics of hailstorms, iii) damage prevention, iv) Local probabilities long-term statistics hail, v) Nowcasting forecasting hail.This report summarizes the scientific contributions presented open questions discussed at workshop.

10.1127/metz/2015/0667 article EN cc-by-nc Meteorologische Zeitschrift 2015-04-13

Abstract. In Switzerland, hail regularly occurs in multi-day clusters. The atmospheric conditions prior to and during clusters are described contrasted the isolated days. analysis focuses on days that occurred between April September 2002–2019 within 140 km of Swiss radar network. Hail north south Alps defined using a minimum area threshold radar-based product. Multi-day as 5 d windows containing 4 or single day. reanalysis ERA-5 is used study large-scale flow combination with objectively...

10.5194/wcd-2-1167-2021 article EN cc-by Weather and Climate Dynamics 2021-12-06

Severe weather events are constantly increasing over northern Italy impacting the air traffic of one major airports Europe: Milano Malpensa. Monitoring and predicting extreme convection is very challenging especially when it develops locally in a short time range. This work performed within two projects funded by H2020 SESAR Programme, with objective nowcasting high accuracy strong affecting airport. We collected different types data from 10 locations around airport developed an end-to-end...

10.1109/igarss46834.2022.9883665 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2022-07-17

Abstract. In Switzerland, hail regularly occurs in multi-day clusters. The atmospheric conditions prior to and during clusters are described contrasted the isolated days. analysis focuses on days that occurred between April September 2002–2019 within 140 km of Swiss radar network. Hail north south Alps defined using a minimum area threshold radar-based product. Multi-day as 5-day windows containing 4 or 5 single day. reanalysis ERA-5 is used study large-scale flow combination with...

10.5194/wcd-2021-25 preprint EN cc-by 2021-05-12

Blitzschlagbrände und Sommertrockenheit: Gibt es einen Zusammenhang? Blitzschläge sind weltweit die wichtigste natürliche Ursache für Waldbrände. In der Schweiz machen im Schnitt rund Drittel (30.5%) Hochsommer (Juni, Juli August) vorkommenden Brandereignisse aus. diesem Beitrag analysieren wir das Auftreten herrschenden meteorologischen Bedingungen, welche 275 in Waldbranddatenbank «Swissfire» Periode 2000–2018 registrierten charakterisieren. fast ausschliesslich gebirgigen Lagen zu...

10.3188/szf.2020.0281 article DE Schweizerische Zeitschrift fur Forstwesen 2020-09-01

Abstract. We present a feasibility study for an object-based method to characterise thunderstorm properties in simulation data from convection-permitting weather models. An existing tracker, the Thunderstorm Identification, Tracking, Analysis and Nowcasting (TITAN) algorithm, was applied thunderstorms simulated by Advanced Research Weather Forecasting (AR-WRF) model at resolution domain centred on Switzerland. Three WRF microphysics parameterisations were tested. The results are compared...

10.5194/gmd-2021-105 preprint EN cc-by 2021-05-28
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