Aggravated Occupational Heat Stress Recognition and Mitigation in Slovenia

Pogačar, Tjaša; Žnidaršič, Zala; Črepinšek, Zalika; Bogataj, Lučka Kajfež

doi:10.1007/978-3-030-03383-5_18

Cited by 4 publications

(5 citation statements)

References 19 publications

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“…SLOCLIM is expected to support ongoing and future research activities which are focused on basic climatic questions in Slovenia and surrounding regions, such as trend analyses and projections (Dolinar et al, 2018;de Luis et al, 2014;Milošević et al, 2017), as well as reconstruction of past climate and extreme events based on tree-ring parameters (Cook et al, 2015;Čufar et al, 2008;Hafner et al, 2014). Research where climate data are needed also includes that focused on the effects of climate change on the well-being and health of the population (Ciuha et al, 2019;Pogačar et al, 2019Pogačar et al, , 2020, as well as agroclimatic shifts and the food supply (Ceglar et al, 2012(Ceglar et al, , 2019a. In Slovenia, a densely afforested country, climate affects the survival and productivity of forest trees due to shifts in leaf phenology (Čufar et al, 2012, 2015) and the production of crucial tree tissues, like wood and phloem (Delpierre et al, 2019;Martinez del Castillo et al, 2018;Prislan et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

SLOCLIM: a high-resolution daily gridded precipitation and temperature dataset for Slovenia

Škrk

Luis

Čufar

et al. 2021

Earth Syst. Sci. Data

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Abstract. We present a new publicly available daily gridded dataset of maximum and minimum temperature and precipitation data covering the whole territory of Slovenia from 1950 to 2018. It represents the great variability of climate at the crossroads between the Mediterranean, Alpine and continental climatic regimes with altitudes between 0–2864 m a.s.l. We completely reconstructed (quality control and gap filling) the data for the three variables from 174 observatories (climatological, precipitation and automatic stations) with the original records all over the country. A comprehensive quality control process based on the spatial coherence of the data was applied to the original dataset, and the missing values were estimated for each day and location independently. Using the filled data series, a grid of 1×1 km spatial resolution with 20 998 points was created by estimating daily temperatures (minimum and maximum) and precipitation, as well as their corresponding uncertainties at each grid point. In order to show the potential applications, four daily temperature indices and two on precipitation were calculated to describe the spatial distribution of (1) the absolute maximum and minimum temperature, (2) the number of frost days, (3) the number of summer days, (4) the intensity of precipitation and (5) the maximum number of consecutive dry days. The use of all the available information, the complete quality control and the high spatial resolution of the grid allowed for an accurate estimate of precipitation and temperature that represents a precise spatial and temporal distribution of daily temperatures and precipitation in Slovenia. The SLOCLIM dataset is publicly available at https://doi.org/10.5281/zenodo.4108543 and http://www.sloclim.eu (last access: 10 June 2021) and can be cited as Škrk et al. (2020).

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Section: Discussionmentioning

confidence: 99%

SLOCLIM: a high-resolution daily gridded precipitation and temperature dataset for Slovenia

Škrk

Luis

Čufar

et al. 2021

Earth Syst. Sci. Data

Self Cite

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“…The frequency of climatic extremes (e.g. the number of consecutive dry days, the number of heavy precipitation days, the number of hot days, the number of hot nights) has increased in the Carpathian Basin region by the end of the 20th century (Pogačar et al, 2019;Pongrácz and Bartholy, 2006;Spinoni et al, 2015). Increasing average air temperature and decreasing summer precipitation are projected for the region (Anders et al, 2014;Kohnová et al, 2019;Nováky and Bálint, 2013).…”

Section: Introductionmentioning

confidence: 99%

Multi-model climatic water balance prediction in the Zala River Basin (Hungary) based on a modified Budyko framework

Csáki

Gyimóthy

Kalicz

et al. 2020

Journal of Hydrology and Hydromechanics

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AbstractProviding information on the impacts of climate change on hydrological processes is becoming ever more critical. Modelling and evaluating the expected changes of the water resources over different spatial and time scales can be useful in several fields, e.g. agriculture, forestry and water management. Previously a Budyko-type spatially distributed long-term climate-runoff model was developed for Hungary. This research includes the validation of the model using historical precipitation and streamflow measurements for three nested sub-catchments of the Zala River Basin (Hungary), an essential runoff contributing region to Lake Balaton (the largest shallow lake in Central Europe). The differences between the calculated (from water balance) and the estimated (by the model) mean annual evapotranspiration varied between 0.4% and 3.6% in the validation periods in the sub-catchments examined. Predictions of the main components of the water balance (evapotranspiration and runoff) for the Zala Basin are also presented in this study using precipitation and temperature results of 12 regional climate model simulations (A1B scenario) as input data. According to the projections, the mean annual temperature will be higher from period to period (2011–2040, 2041–2070, 2071–2100), while the change of the annual precipitation sum is not significant. The mean annual evapotranspiration rate is expected to increase slightly during the 21st century, while for runoff a substantial decrease can be anticipated which may exceed 40% by 2071–2100 relative to the reference period (1981–2010). As a result of this predicted reduction, the runoff from the Zala Basin may not be enough to balance the increased evaporation rate of Lake Balaton, transforming it into a closed lake without outflow.

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“…The SLOCLIM database opens up many possibilities for applications in areas which need data with high spatial and temporal analyses and projections (Dolinar et al, 2018;de Luis et al, 2014;Milošević et al, 2017), as well as reconstruction of past climate and extreme events based on tree-ring parameters (Cook et al, 2015;Čufar et al, 2008;Hafner et al, 2014). Research where climate data are needed also includes that focused on the effects of climate change on the well-being and health of population (Ciuha et al, 2019;Pogačar et al, 2019Pogačar et al, , 2020, as well as agroclimatic shifts and the food supply (Ceglar et al, 2012(Ceglar et al, , 2019a(Ceglar et al, , 2019b. In Slovenia, a densely afforested country, climate affects the survival and productivity of forest trees due to shifts in leaf phenology (Čufar et al, 2012, 2015), and the production of crucial tree tissues, like wood and phloem (Delpierre et al, 2019;Martinez del Castillo et al, 2018;Prislan et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

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Škrk¹

2021

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Aggravated Occupational Heat Stress Recognition and Mitigation in Slovenia

Cited by 4 publications

References 19 publications

SLOCLIM: a high-resolution daily gridded precipitation and temperature dataset for Slovenia

SLOCLIM: a high-resolution daily gridded precipitation and temperature dataset for Slovenia

Multi-model climatic water balance prediction in the Zala River Basin (Hungary) based on a modified Budyko framework

Reply on RC1, CC1, RC2

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