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Pregled bibliografske jedinice broj: 1184894

Performance of HAILCAST and the Lightning Potential Index in simulating hailstorms in Croatia in a mesoscale model – Sensitivity to the PBL and microphysics parameterization schemes


Malečić, Barbara; Telišman Prtenjak, Maja; Horvath, Kristian; Jelić, Damjan; Mikuš Jurković, Petra; Ćorko, Karol; Strelec Mahović, Nataša
Performance of HAILCAST and the Lightning Potential Index in simulating hailstorms in Croatia in a mesoscale model – Sensitivity to the PBL and microphysics parameterization schemes // Atmospheric research, 272 (2022), 106143, 22 doi:10.1016/j.atmosres.2022.106143 (međunarodna recenzija, članak, znanstveni)


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Naslov
Performance of HAILCAST and the Lightning Potential Index in simulating hailstorms in Croatia in a mesoscale model – Sensitivity to the PBL and microphysics parameterization schemes

Autori
Malečić, Barbara ; Telišman Prtenjak, Maja ; Horvath, Kristian ; Jelić, Damjan ; Mikuš Jurković, Petra ; Ćorko, Karol ; Strelec Mahović, Nataša

Izvornik
Atmospheric research (0169-8095) 272 (2022); 106143, 22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
hail, lightning, WRF, numerical weather prediction, severe weather, Croatia

Sažetak
Hailstorms, although extremely damaging severe weather hazards, remain a very challenging phenomenon to predict. To better understand dynamic processes and model performance, which can be helpful in forecasting hailstorms, three selected hailstorms in Croatia are simulated with the WRF model at convection-permitting (1 km) grid spacing using the HAILCAST module. In addition, the performance of the Lightning Potential Index (LPI) algorithm in representing the observed lightning activity during the selected hailstorms is analyzed. A multiphysics ensemble of 12 sensitivity simulations with the combinations of four different microphysics and three different planetary boundary layer parameterization (PBL) schemes is adopted to assess the forecasting ability of HAILCAST and LPI and their sensitivity to the choice of microphysics and PBL parameterization schemes. First, the model’s ability to reproduce surface measurements of 2-m temperature, 2-m relative humidity, 2-m equivalent potential temperature and 10-m wind are examined using root mean square error (RMSE) decomposition. Then, the LPI is assessed against lightning observations via the object-based Structure-Amplitude-Location (SAL) method. Finally, a neighborhood verification method is utilized to assess HAILCAST against hail observations from the Croatian hailpad network. The results show that the observed hail and lightning activity is represented well by the model. There is a greater sensitivity to the choice of microphysics scheme than the PBL scheme, with National Severe Storms Laboratory double-moment scheme (NSSL2) microphysics scheme differing the most among the entire sensitivity ensemble. Nonetheless, both HAILCAST and LPI show promising performance in simulating observed hail and lightning activity, although HAILCAST tends to overestimate the area affected by hail. Nonetheless, the discrepancies between model configurations highlight the importance of simulating convection correctly to obtain a meaningful forecast of hail and lightning.

Izvorni jezik
Engleski

Znanstvena područja
Geofizika



POVEZANOST RADA


Projekti:
HRZZ-IZHRZ0_180587 - Severe Weather over the Alpine-Adriatic region in a Changing Climate (SWALDRIC) (Telišman Prtenjak, Maja, HRZZ - Croatian-Swiss Research Programme 2017 - 2023) ( CroRIS)

Ustanove:
Državni hidrometeorološki zavod,
Prirodoslovno-matematički fakultet, Zagreb

Citiraj ovu publikaciju:

Malečić, Barbara; Telišman Prtenjak, Maja; Horvath, Kristian; Jelić, Damjan; Mikuš Jurković, Petra; Ćorko, Karol; Strelec Mahović, Nataša
Performance of HAILCAST and the Lightning Potential Index in simulating hailstorms in Croatia in a mesoscale model – Sensitivity to the PBL and microphysics parameterization schemes // Atmospheric research, 272 (2022), 106143, 22 doi:10.1016/j.atmosres.2022.106143 (međunarodna recenzija, članak, znanstveni)
Malečić, B., Telišman Prtenjak, M., Horvath, K., Jelić, D., Mikuš Jurković, P., Ćorko, K. & Strelec Mahović, N. (2022) Performance of HAILCAST and the Lightning Potential Index in simulating hailstorms in Croatia in a mesoscale model – Sensitivity to the PBL and microphysics parameterization schemes. Atmospheric research, 272, 106143, 22 doi:10.1016/j.atmosres.2022.106143.
@article{article, author = {Male\v{c}i\'{c}, Barbara and Teli\v{s}man Prtenjak, Maja and Horvath, Kristian and Jeli\'{c}, Damjan and Miku\v{s} Jurkovi\'{c}, Petra and \'{C}orko, Karol and Strelec Mahovi\'{c}, Nata\v{s}a}, year = {2022}, pages = {22}, DOI = {10.1016/j.atmosres.2022.106143}, chapter = {106143}, keywords = {hail, lightning, WRF, numerical weather prediction, severe weather, Croatia}, journal = {Atmospheric research}, doi = {10.1016/j.atmosres.2022.106143}, volume = {272}, issn = {0169-8095}, title = {Performance of HAILCAST and the Lightning Potential Index in simulating hailstorms in Croatia in a mesoscale model – Sensitivity to the PBL and microphysics parameterization schemes}, keyword = {hail, lightning, WRF, numerical weather prediction, severe weather, Croatia}, chapternumber = {106143} }
@article{article, author = {Male\v{c}i\'{c}, Barbara and Teli\v{s}man Prtenjak, Maja and Horvath, Kristian and Jeli\'{c}, Damjan and Miku\v{s} Jurkovi\'{c}, Petra and \'{C}orko, Karol and Strelec Mahovi\'{c}, Nata\v{s}a}, year = {2022}, pages = {22}, DOI = {10.1016/j.atmosres.2022.106143}, chapter = {106143}, keywords = {hail, lightning, WRF, numerical weather prediction, severe weather, Croatia}, journal = {Atmospheric research}, doi = {10.1016/j.atmosres.2022.106143}, volume = {272}, issn = {0169-8095}, title = {Performance of HAILCAST and the Lightning Potential Index in simulating hailstorms in Croatia in a mesoscale model – Sensitivity to the PBL and microphysics parameterization schemes}, keyword = {hail, lightning, WRF, numerical weather prediction, severe weather, Croatia}, chapternumber = {106143} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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