Enriching the historical meteorological information using Romanian language newspaper reports: A database from 1880 to 1900

Cheval, Sorin; Haliuc, Aritina; Antonescu, Bogdan; Tișcovschi, Adrian; Dobre, Mihaela; Tătui, Florin; Dumitrescu, Alexandru; Manea, Ancuţa; Tudorache, George; Irimescu, Anișoara; Bîrsan, Marius-Victor; Mock, Cary J.

doi:10.1002/joc.6709

Cited by 8 publications

(5 citation statements)

References 27 publications

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“…The results are very similar: the RMSE between the trends obtained from the series obtained by the different MASH homogenization processes is 0.09; furthermore, in more than 90% of the cases, the differences are situated inside the confidence interval of the Sen's slope. Even if several historical datasets are available for the region [17,32,33], since they used different sources and timeframes, direct comparison with our results is not applicable.…”

Section: Conclusion and Discussionmentioning

confidence: 91%

Using Long-Term Historical Meteorological Data for Climate Change Analysis in the Carpathian Region

et al. 2022

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In this study, we consider the historical climatological time series available in the meteorological yearbooks of the Royal Hungarian Central Institute of Meteorology and Earth Magnetism, first published in 1871. Data quality improvement of historical data includes the homogenization process with outlier checks and data gap filling by applying the MASH software. We investigated 13 stations from the Carpathian Region having the most complete monthly temperature and precipitation time series for the period of 1871–1918 and 8 stations with fog observations (1886–1916). First, statistical tests were conducted to compare the main statistics of the historical datasets (1871–1918) with current data (1971–2020). The sources of the current data are the National Meteorological Administration of Romania and the European Climate Assessment & Dataset. The results show significant changes between the two periods. In the whole region, the mean temperature in the last five decades (1971–2020) was 0.77 °C higher than in 1871–1918. Changes in the frequency of foggy situations were also detected. On an annual scale, in the last 31-year period (1990–2020), the number of foggy days increased by 16.2 compared with 1886–1916. Even if some local trends can be detected in the historical periods (e.g., Cluj-Napoca), significant changes are much more characteristic in the recent period.

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Section: Conclusion and Discussionmentioning

confidence: 91%

Using Long-Term Historical Meteorological Data for Climate Change Analysis in the Carpathian Region

et al. 2022

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“…The third source was represented by reports of the damaged caused by hailfall from the archive of local newspapers. These types of observations of weather phenomena, including those from past centuries, were used in studies for different climatology studies (Añel et al, 2017; Cheval et al, 2021; Munro and Fowler, 2014). These data went through a process of validation by using the images from the meteorological radars and values of instability indices derived from sounding station for the corresponding days.…”

Section: Methodsmentioning

confidence: 99%

The continental and regional synoptic background favorable for hailstorms occurrence in North-Eastern Romania

Sfîcă

Vasilică

Hrițac

et al. 2022

Progress in Physical Geography: Earth and Environment

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The current study aims to portray the specific weather patterns associated with hail falls in north-eastern Romania. This was done using multiple hail records data covering a long period of time (1981–2020). COST733 software enabled us to assess objectively the atmospheric circulation classification types for the middle troposphere (500 hPa) and also for the ground level (sea level pressure) over the study region. Based on these, we have identified 5 major weather patterns (MPs) which explain up to 85% of the recorded hail events over the region. In terms of wind vector direction and speed, driving the hailstorm cells, these MPs are represented by two main groups of synoptic patterns. The first one is characterized by weak advective patterns (cut-off lows, north-easterly anticyclonic flow), while the second one is characterized by strong advective patterns (westerly, south-westerly, and north-westerly atmospheric flows). Further, these major patterns are split into 16 combined circulation types (CCTs), as indicated by the atmospheric circulation at the ground level. Our analysis showed that in May and June hailstorms are determined especially by weak advective patterns over north-eastern Romania, while from June to August the strong advective patterns are more common for these extreme weather events. The atmospheric environment associated with these synoptic conditions, as indicated by instability parameters, is also described using a series of atmospheric parameters: sea pressure level, 500 hPa geopotential field, 700 hPa wind vector, and precipitation amount at the continental scale. This analysis indicates that hail occurs in a regional atmospheric environment characterized by a MUCAPE >500 J/kg and high wind shear in the lower troposphere. The results obtained are meant to become a useful tool in regional hail forecast.

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“…The third data source is represented by large hail reports from the local newspapers' archive. These types of meteorological phenomena reports, including data from past centuries, have been used in climatological studies that have been carried out [46][47][48]. The dataset gathered a total of 378 hail days over the studied region.…”

Section: Hail Datamentioning

confidence: 99%

Characteristics of Convective Parameters Derived from Rawinsonde and ERA5 Data Associated with Hailstorms in Northeastern Romania

Istrate,

Podiuc,

Sîrbu

et al. 2023

Meteorology

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Using a database of 378 hail days between 1981 and 2020, the climatic characteristics of 23 convective parameters from sounding data and ERA5 data were statistically analysed. The goal of this work is to evaluate the usefulness and representativeness of convective parameters derived from sounding data and reanalysis data for the operational forecast of the hail phenomenon. As a result, the average values from 12:00 UTC were 433 J/kg for CAPE in the case of data from ERA5 and 505 J/kg from rawinsonde, respectively. The Spearman correlation coefficient matrix between the values of the parameters indicates high correlations among the parameters calculated based on the parcel theory, humidity indices, and the complex indices. The probability for large hail increases with high values of low-level and boundary-layer moisture, high CAPE, and a high lifting condensation level (LCL) height.

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Enriching the historical meteorological information using Romanian language newspaper reports: A database from 1880 to 1900

Cited by 8 publications

References 27 publications

Using Long-Term Historical Meteorological Data for Climate Change Analysis in the Carpathian Region

Using Long-Term Historical Meteorological Data for Climate Change Analysis in the Carpathian Region

The continental and regional synoptic background favorable for hailstorms occurrence in North-Eastern Romania

Characteristics of Convective Parameters Derived from Rawinsonde and ERA5 Data Associated with Hailstorms in Northeastern Romania

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