Is an NWP-Based Nowcasting System Suitable for Aviation Operations?

The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for fligh...
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Autor*in:	Vincenzo Mazzarella [verfasserIn] Massimo Milelli [verfasserIn] Martina Lagasio [verfasserIn] Stefano Federico [verfasserIn] Rosa Claudia Torcasio [verfasserIn] Riccardo Biondi [verfasserIn] Eugenio Realini [verfasserIn] Maria Carmen Llasat [verfasserIn] Tomeu Rigo [verfasserIn] Laura Esbrí [verfasserIn] Markus Kerschbaum [verfasserIn] Marco-Michael Temme [verfasserIn] Olga Gluchshenko [verfasserIn] Antonio Parodi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	WRF numerical weather prediction nowcasting data assimilation severe weather events aviation

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 14(2022), 18, p 4440
Übergeordnetes Werk:	volume:14 ; year:2022 ; number:18, p 4440

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs14184440

Katalog-ID:	DOAJ084794003

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allfields	10.3390/rs14184440 doi (DE-627)DOAJ084794003 (DE-599)DOAJd5c422f6de3647be8038a303f716990c DE-627 ger DE-627 rakwb eng Vincenzo Mazzarella verfasserin aut Is an NWP-Based Nowcasting System Suitable for Aviation Operations? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories. WRF numerical weather prediction nowcasting data assimilation severe weather events aviation Science Q Massimo Milelli verfasserin aut Martina Lagasio verfasserin aut Stefano Federico verfasserin aut Rosa Claudia Torcasio verfasserin aut Riccardo Biondi verfasserin aut Eugenio Realini verfasserin aut Maria Carmen Llasat verfasserin aut Tomeu Rigo verfasserin aut Laura Esbrí verfasserin aut Markus Kerschbaum verfasserin aut Marco-Michael Temme verfasserin aut Olga Gluchshenko verfasserin aut Antonio Parodi verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 18, p 4440 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:18, p 4440 https://doi.org/10.3390/rs14184440 kostenfrei https://doaj.org/article/d5c422f6de3647be8038a303f716990c kostenfrei https://www.mdpi.com/2072-4292/14/18/4440 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 18, p 4440
spelling	10.3390/rs14184440 doi (DE-627)DOAJ084794003 (DE-599)DOAJd5c422f6de3647be8038a303f716990c DE-627 ger DE-627 rakwb eng Vincenzo Mazzarella verfasserin aut Is an NWP-Based Nowcasting System Suitable for Aviation Operations? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories. WRF numerical weather prediction nowcasting data assimilation severe weather events aviation Science Q Massimo Milelli verfasserin aut Martina Lagasio verfasserin aut Stefano Federico verfasserin aut Rosa Claudia Torcasio verfasserin aut Riccardo Biondi verfasserin aut Eugenio Realini verfasserin aut Maria Carmen Llasat verfasserin aut Tomeu Rigo verfasserin aut Laura Esbrí verfasserin aut Markus Kerschbaum verfasserin aut Marco-Michael Temme verfasserin aut Olga Gluchshenko verfasserin aut Antonio Parodi verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 18, p 4440 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:18, p 4440 https://doi.org/10.3390/rs14184440 kostenfrei https://doaj.org/article/d5c422f6de3647be8038a303f716990c kostenfrei https://www.mdpi.com/2072-4292/14/18/4440 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 18, p 4440
allfields_unstemmed	10.3390/rs14184440 doi (DE-627)DOAJ084794003 (DE-599)DOAJd5c422f6de3647be8038a303f716990c DE-627 ger DE-627 rakwb eng Vincenzo Mazzarella verfasserin aut Is an NWP-Based Nowcasting System Suitable for Aviation Operations? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories. WRF numerical weather prediction nowcasting data assimilation severe weather events aviation Science Q Massimo Milelli verfasserin aut Martina Lagasio verfasserin aut Stefano Federico verfasserin aut Rosa Claudia Torcasio verfasserin aut Riccardo Biondi verfasserin aut Eugenio Realini verfasserin aut Maria Carmen Llasat verfasserin aut Tomeu Rigo verfasserin aut Laura Esbrí verfasserin aut Markus Kerschbaum verfasserin aut Marco-Michael Temme verfasserin aut Olga Gluchshenko verfasserin aut Antonio Parodi verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 18, p 4440 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:18, p 4440 https://doi.org/10.3390/rs14184440 kostenfrei https://doaj.org/article/d5c422f6de3647be8038a303f716990c kostenfrei https://www.mdpi.com/2072-4292/14/18/4440 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 18, p 4440
allfieldsGer	10.3390/rs14184440 doi (DE-627)DOAJ084794003 (DE-599)DOAJd5c422f6de3647be8038a303f716990c DE-627 ger DE-627 rakwb eng Vincenzo Mazzarella verfasserin aut Is an NWP-Based Nowcasting System Suitable for Aviation Operations? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories. WRF numerical weather prediction nowcasting data assimilation severe weather events aviation Science Q Massimo Milelli verfasserin aut Martina Lagasio verfasserin aut Stefano Federico verfasserin aut Rosa Claudia Torcasio verfasserin aut Riccardo Biondi verfasserin aut Eugenio Realini verfasserin aut Maria Carmen Llasat verfasserin aut Tomeu Rigo verfasserin aut Laura Esbrí verfasserin aut Markus Kerschbaum verfasserin aut Marco-Michael Temme verfasserin aut Olga Gluchshenko verfasserin aut Antonio Parodi verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 18, p 4440 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:18, p 4440 https://doi.org/10.3390/rs14184440 kostenfrei https://doaj.org/article/d5c422f6de3647be8038a303f716990c kostenfrei https://www.mdpi.com/2072-4292/14/18/4440 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 18, p 4440
allfieldsSound	10.3390/rs14184440 doi (DE-627)DOAJ084794003 (DE-599)DOAJd5c422f6de3647be8038a303f716990c DE-627 ger DE-627 rakwb eng Vincenzo Mazzarella verfasserin aut Is an NWP-Based Nowcasting System Suitable for Aviation Operations? 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories. WRF numerical weather prediction nowcasting data assimilation severe weather events aviation Science Q Massimo Milelli verfasserin aut Martina Lagasio verfasserin aut Stefano Federico verfasserin aut Rosa Claudia Torcasio verfasserin aut Riccardo Biondi verfasserin aut Eugenio Realini verfasserin aut Maria Carmen Llasat verfasserin aut Tomeu Rigo verfasserin aut Laura Esbrí verfasserin aut Markus Kerschbaum verfasserin aut Marco-Michael Temme verfasserin aut Olga Gluchshenko verfasserin aut Antonio Parodi verfasserin aut In Remote Sensing MDPI AG, 2009 14(2022), 18, p 4440 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:14 year:2022 number:18, p 4440 https://doi.org/10.3390/rs14184440 kostenfrei https://doaj.org/article/d5c422f6de3647be8038a303f716990c kostenfrei https://www.mdpi.com/2072-4292/14/18/4440 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 14 2022 18, p 4440
language	English
source	In Remote Sensing 14(2022), 18, p 4440 volume:14 year:2022 number:18, p 4440
sourceStr	In Remote Sensing 14(2022), 18, p 4440 volume:14 year:2022 number:18, p 4440
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	WRF numerical weather prediction nowcasting data assimilation severe weather events aviation Science Q
isfreeaccess_bool	true
container_title	Remote Sensing
authorswithroles_txt_mv	Vincenzo Mazzarella @@aut@@ Massimo Milelli @@aut@@ Martina Lagasio @@aut@@ Stefano Federico @@aut@@ Rosa Claudia Torcasio @@aut@@ Riccardo Biondi @@aut@@ Eugenio Realini @@aut@@ Maria Carmen Llasat @@aut@@ Tomeu Rigo @@aut@@ Laura Esbrí @@aut@@ Markus Kerschbaum @@aut@@ Marco-Michael Temme @@aut@@ Olga Gluchshenko @@aut@@ Antonio Parodi @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	608937916
id	DOAJ084794003
language_de	englisch
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author	Vincenzo Mazzarella
spellingShingle	Vincenzo Mazzarella misc WRF misc numerical weather prediction misc nowcasting misc data assimilation misc severe weather events misc aviation misc Science misc Q Is an NWP-Based Nowcasting System Suitable for Aviation Operations?
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topic_title	Is an NWP-Based Nowcasting System Suitable for Aviation Operations? WRF numerical weather prediction nowcasting data assimilation severe weather events aviation
topic	misc WRF misc numerical weather prediction misc nowcasting misc data assimilation misc severe weather events misc aviation misc Science misc Q
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title	Is an NWP-Based Nowcasting System Suitable for Aviation Operations?
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title_full	Is an NWP-Based Nowcasting System Suitable for Aviation Operations?
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author_browse	Vincenzo Mazzarella Massimo Milelli Martina Lagasio Stefano Federico Rosa Claudia Torcasio Riccardo Biondi Eugenio Realini Maria Carmen Llasat Tomeu Rigo Laura Esbrí Markus Kerschbaum Marco-Michael Temme Olga Gluchshenko Antonio Parodi
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title_sort	is an nwp-based nowcasting system suitable for aviation operations?
title_auth	Is an NWP-Based Nowcasting System Suitable for Aviation Operations?
abstract	The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories.
abstractGer	The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories.
abstract_unstemmed	The growth of air transport demand expected over the next decades, along with the increasing frequency and intensity of extreme weather events, such as heavy rainfalls and severe storms due to climate change, will pose a tough challenge for air traffic management systems, with implications for flight safety, delays and passengers. In this context, the Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM (SINOPTICA) project has a dual aim, first to investigate if very short-range high-resolution weather forecast, including data assimilation, can improve the predictive capability of these events, and then to understand if such forecasts can be suitable for air traffic management purposes. The intense squall line that affected Malpensa, the major airport by passenger traffic in northern Italy, on 11 May 2019 is selected as a benchmark. Several numerical experiments are performed with a Weather Research and Forecasting (WRF) model using two assimilation techniques, 3D-Var in WRF Data Assimilation (WRFDA) system and a nudging scheme for lightning, in order to improve the forecast accuracy and to evaluate the impact of assimilated different datasets. To evaluate the numerical simulations performance, three different verification approaches, object-based, fuzzy and qualitative, are used. The results suggest that the assimilation of lightning data plays a key role in triggering the convective cells, improving both location and timing. Moreover, the numerical weather prediction (NWP)-based nowcasting system is able to produce reliable forecasts at high spatial and temporal resolution. The timing was found to be suitable for helping Air Traffic Management (ATM) operators to compute alternative landing trajectories.
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title_short	Is an NWP-Based Nowcasting System Suitable for Aviation Operations?
url	https://doi.org/10.3390/rs14184440 https://doaj.org/article/d5c422f6de3647be8038a303f716990c https://www.mdpi.com/2072-4292/14/18/4440 https://doaj.org/toc/2072-4292
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