The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model

Hoffmann, Peter; Merker, Claire; Lengfeld, Katharina; Ament, Felix

doi:10.1016/j.atmosres.2018.04.009

Cited by 7 publications

(10 citation statements)

References 49 publications

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“…The LAWR resolved a characteristic circular hook echo in the 30 s average rainfall rate, demonstrating a rotating rainfall circulation around a tornado (Fig. 9), as discussed by Hoffmann et al (2018). The provided LAWR rainfall rate R (level 2 data set) shows less remaining clutter compared to the processed rainfall rate by Hoffmann et al (2018).…”

Section: Data Qualitymentioning

confidence: 75%

“…9), as discussed by Hoffmann et al (2018). The provided LAWR rainfall rate R (level 2 data set) shows less remaining clutter compared to the processed rainfall rate by Hoffmann et al (2018). Differences between the rainfall rates occur due to differences in processing steps, e.g.…”

Section: Data Qualitymentioning

confidence: 94%

“…However, the LAWR located in Hamburg is still in operation, extending a unique data set. Hoffmann et al (2018) shows that the LAWR is able to capture the circular pattern in rainfall rates because of its higher resolutions in space and time. In a recent study, a LAWR was deployed to provide rainfall estimates for studies on cold pool events during the Field Experiment on Submesoscale Spatio-Temporal Variability in Lindenberg (FES-STVaL) from June to August 2021 (Burgemeister et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg

Burgemeister,

Clemens,

Ament

2024

Earth Syst. Sci. Data

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Abstract. This paper presents an open-access data set of reanalysed radar reflectivities and rainfall rates at sub-kilometre spatial and minute temporal scales. Variability at these scales is a blind spot for both operational rain gauge networks and operational radar networks. In the urban area of Hamburg, precipitation measurements of a single-polarized X-band weather radar operating at high temporal (30 s), range (60 m), and azimuthal sampling (1°) resolutions are made available for a period of more than 8 years. We describe in detail the reanalysis of the raw radar data, outline the radar performance for the years 2013 to 2021, and discuss open issues and limitations of the data set. Several sources of radar-based errors were adjusted gradually, affecting the radar reflectivity and rainfall measurements, e.g. noise, alignment, non-meteorological echoes, radar calibration, and attenuation. The deployment of additional vertically pointing micro rain radars yields drop size distributions at the radar beam height, which effectively reduces errors concerning the radar calibration and attenuation correction and monitors the radar data quality. A statistical evaluation revealed that X-band radar reflectivities and rainfall rates are in very good agreement with the micro rain radar measurements. Moreover, the analyses of rainfall patterns shown for an event and accumulated rainfall of several months prove the quality of the data set. The provided radar reflectivities facilitate studies on attenuation correction and the derivation of further weather radar products, like an improved rainfall rate. The rainfall rates themselves can be used for studies on the spatial and temporal scales of precipitation and hydrological research, e.g. input data for high-resolution modelling, in an urban area. The radar reflectivities and rainfall rates are available at https://doi.org/10.26050/WDCC/LAWR_UHH_HHG_v2 (Burgemeister et al., 2024).

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Section: Data Qualitymentioning

confidence: 75%

Section: Data Qualitymentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg

Burgemeister,

Clemens,

Ament

2024

Earth Syst. Sci. Data

Self Cite

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“…Additionally, model simulation is useful in better designing or choosing adaptation measures by simulating functions of controlling processes [ 136 ] and effects of adaptive actions [ 137 ]. The model forecasting range from indicators such as wind speed [ 138 ] and water level [ 139 ] to events such as dust storms [ 140 ], cyclones [ 141 ], and floods [ 142 ]. Forecasting is indispensable to alarm approaching disasters, and it allows more time for people to evacuate from dangerous zones, thus avoiding unnecessary losses of human lives.…”

Section: Resultsmentioning

confidence: 99%

Wind disasters adaptation in cities in a changing climate: A systematic review

et al. 2021

PLoS ONE

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Wind-related disasters will bring more devastating consequences to cities in the future with a changing climate, but relevant studies have so far provided insufficient information to guide adaptation actions. This study aims to provide an in-depth elaboration of the contents discussed in open access literature regarding wind disaster adaptation in cities. We used the Latent Dirichlet Allocation (LDA) to refine topics and main contents based on 232 publications (1900 to 2019) extracted from Web of Science and Scopus. We conducted a full-text analysis to filter out focal cities along with their adaptation measures. The results show that wind disaster adaptation research in cities has formed a systematic framework in four aspects: 1) vulnerability and resilience of cities, 2) damage evaluation, 3) response and recovery, and 4) health impacts of wind disaster. Climate change is the background for many articles discussing vulnerability and adaptation in coastal areas. It is also embedded in damage evaluation since it has the potential to exacerbate disaster consequences. The literature is strongly inclined towards more developed cities such as New York City and New Orleans, among which New York City associated with Hurricane Sandy ranks first (38/232). Studies on New York City cover all the aspects, including the health impacts of wind disasters which are significantly less studied now. Distinct differences do exist in the number of measures regarding the adaptation categories and their subcategories. We also find that hard adaptation measures (i.e., structural and physical measures) are far more popular than soft adaptation measures (i.e., social and institutional measures). Our findings suggest that policymakers should pay more attention to cities that have experienced major wind disasters other than New York. They should embrace the up-to-date climate change study to defend short-term disasters and take precautions against long-term changes. They should also develop hard-soft hybrid adaptation measures, with special attention on the soft side, and enhance the health impact study of wind-related disasters.

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“…They affect not only coastal areas and islands, but also inland areas (Chernokulsky and Shikhov, 2018;Sahoo et al, 2019;De Beurs et al, 2019;Ezer, 2020). Currently, hurricanes, for example, have been appearing in new places where they've never met before (Hoffmann et al, 2018;Barrett et al, 2020). With great destructive power, wind storms cause huge loss of life and property damage (Moore, 2017;Diaz and Joseph, 2019;Cui and Caracoglia, 2019).…”

Section: Introductionmentioning

confidence: 99%

Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall

Suleymanov¹,

Yakimov²,

Liebelt³

et al. 2021

Eurasian Journal of Soil Science (Ejss)

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Article InfoThe article presents the results of complex research (research was conducted in 2019) of the Botanical natural monument territory "Pine forest near Venetsiya village" (Russia). In 2007, part of the nature monument territory was destroyed by a hurricane, resulting in massive windfall. The purpose of the research was to study the processes of evolution of natural complexes (vegetation and soil cover) in the areas affected by the hurricane. Classification of vegetation was done according to the Braun-Blanquet and Kopečký and Hejný approaches. NDVI (Normalized Difference Vegetation Index) was used to estimate the amount of photosynthetically active biomass. Changes in morphological, physical and chemical properties were studied in the soil cover. The conducted research showed that the vegetation of the natural monument is represented by relict pine and broad-leaved pine forests. Under the pine canopy linden and birch are dominated. In the herb layer grow in various combinations of nemoral and boreal species. Soil cover is represented by Gray-humus (Umbric Luvisol). There is a strong transformation of vegetation in the areas damaged by the hurricane in 12 years (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019). There is an active formation of highly productive herbaceous vegetation and renewal of deciduous stands, which leads to an increase in biomass (confirmed by changes in NDVI). The terminal stage of the restoration succession will be the formation of secondary deciduous and mixed nemoral forests. The active development of grass vegetation leads to the formation of a sod horizon on the surface of the soil with a thickness of about 14 cm. There is also an increase in the content of organic carbon, alkaline-hydrolyzable nitrogen and mobile phosphorus, the value of electrical resistivity increases and acidification of the soil solution.

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The Hamburg Tornado (7 June 2016) from the perspective of low-cost high-resolution radar data and weather forecast model

Cited by 7 publications

References 49 publications

Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg

Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg

Wind disasters adaptation in cities in a changing climate: A systematic review

Transformation of plant and soil covers of the Botanical nature monument “Pine forest near Venetsiya village” (Russia) as a result of a windfall

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