Multi-methodical realisation of Austrian climate maps for 1971–2000

Hiebl, Johann; Reisenhofer, Stefan; Auer, Ingeborg; Böhm, Reinhard; Schöner, Wolfgang

doi:10.5194/asr-6-19-2011

Cited by 23 publications

(14 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, the hot spots represent different climatic conditions. From the western part of the study area to the east the annual precipitation sum decreases by 50%, from about 1000 to 500 mm, along with a decrease in wet day frequency and wet episode length [see Hiebl et al ., ]. The decrease in precipitation is accompanied by an increasing aridity index (annual PET/annual P ) as it is clearly visible from the clustering of hot spots (symbols) in Figure .…”

Section: Discussionmentioning

confidence: 99%

Exploring the link between meteorological drought and streamflow: Effects of climate‐catchment interaction

Haslinger

Koffler

Schöner

et al. 2014

Water Resources Research

202

141

View full text Add to dashboard Cite

In this paper, we perform a detailed regional analysis of the link between meteorological drought indices and streamflow for a comprehensive Austrian data set of 47 small to medium-size catchments in humid-temperate climate. Four drought indices considering different components of the catchment water balance are tested. We assess the quality of the link using rank correlation analysis, and the probability of detecting low-flow events by hit-scores. Overall, correlations range between 0.4 and 0.8 and differ significantly between regions. A stratified analysis shows that the link is much stronger (i) for summer low flows and droughts than for anomalies in general, and (ii) for more humid than more arid conditions. Under more humid conditions streamflow droughts of small to medium-size catchments are to a large extent generated by climate forcing and therefore well represented by a simple meteorological index. Under increasingly dry conditions, the climate signal gets less predictive, and storage properties of the underground become more important. A simple soil moisture accounting scheme (such as those of the Palmer index) can considerably improve the correlations. Overall, we conclude there is a significant link between meteorological drought and streamflow drought, except for catchments where groundwater storage and snow processes are important. The results are encouraging and provide a wealth of information which can profitably be used to set up statistical prediction models to estimate low flows from meteorological time series.

show abstract

Section: Discussionmentioning

confidence: 99%

Exploring the link between meteorological drought and streamflow: Effects of climate‐catchment interaction

Haslinger

Koffler

Schöner

et al. 2014

Water Resources Research

202

141

View full text Add to dashboard Cite

show abstract

“…The latter conditions are satisfied for at least 60 % of the days per year on average in high elevated areas in Austria (Hiebl et al, 2011). Although this might imply a limitation of the method for other regions in the world with less sunshine, highest daily sums of melt energy for snow and ice are generally strongly correlated with direct solar radiation and thus low cloudiness.…”

Section: Discussionmentioning

confidence: 99%

Correction of broadband snow albedo measurements affected by unknown slope and sensor tilts

et al. 2016

View full text Add to dashboard Cite

Abstract. Geometric effects induced by the underlying terrain slope or by tilt errors of the radiation sensors lead to an erroneous measurement of snow or ice albedo. Consequently, artificial diurnal albedo variations in the order of 1-20 % are observed. The present paper proposes a general method to correct tilt errors of albedo measurements in cases where tilts of both the sensors and the slopes are not accurately measured or known. We demonstrate that atmospheric parameters for this correction model can either be taken from a nearby well-maintained and horizontally levelled measurement of global radiation or alternatively from a solar radiation model. In a next step the model is fitted to the measured data to determine tilts and directions of sensors and the underlying terrain slope. This then allows us to correct the measured albedo, the radiative balance and the energy balance. Depending on the direction of the slope and the sensors a comparison between measured and corrected albedo values reveals obvious over-or underestimations of albedo. It is also demonstrated that differences between measured and corrected albedo are generally highest for large solar zenith angles.

show abstract

“…Finally, topographic conditions and regional peculiarities were taken into account for selecting evenly spread and climatically representative stations. This step was guided by visual inspection of climate maps (Hiebl et al, 2011) and the digital hydrological atlas of Austria (BML-FUW, 2007;Fürst et al, 2009). The data set so obtained consists of 25 hot spots representing climatically homogeneous regions of Austria (Fig.…”

Section: Data -Meteorological Indicatorsmentioning

confidence: 99%

Extreme weather exposure identification for road networks – a comparative assessment of statistical methods

Schlögl

Laaha

2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. The assessment of road infrastructure exposure to extreme weather events is of major importance for scientists and practitioners alike. In this study, we compare the different extreme value approaches and fitting methods with respect to their value for assessing the exposure of transport networks to extreme precipitation and temperature impacts. Based on an Austrian data set from 25 meteorological stations representing diverse meteorological conditions, we assess the added value of partial duration series (PDS) over the standardly used annual maxima series (AMS) in order to give recommendations for performing extreme value statistics of meteorological hazards. Results show the merits of the robust L-moment estimation, which yielded better results than maximum likelihood estimation in 62 % of all cases. At the same time, results question the general assumption of the threshold excess approach (employing PDS) being superior to the block maxima approach (employing AMS) due to information gain. For low return periods (non-extreme events) the PDS approach tends to overestimate return levels as compared to the AMS approach, whereas an opposite behavior was found for high return levels (extreme events). In extreme cases, an inappropriate threshold was shown to lead to considerable biases that may outperform the possible gain of information from including additional extreme events by far. This effect was visible from neither the square-root criterion nor standardly used graphical diagnosis (mean residual life plot) but rather from a direct comparison of AMS and PDS in combined quantile plots. We therefore recommend performing AMS and PDS approaches simultaneously in order to select the best-suited approach. This will make the analyses more robust, not only in cases where threshold selection and dependency introduces biases to the PDS approach but also in cases where the AMS contains non-extreme events that may introduce similar biases. For assessing the performance of extreme events we recommend the use of conditional performance measures that focus on rare events only in addition to standardly used unconditional indicators. The findings of the study directly address road and traffic management but can be transferred to a range of other environmental variables including meteorological and hydrological quantities.

show abstract

Multi-methodical realisation of Austrian climate maps for 1971–2000

Cited by 23 publications

References 13 publications

Exploring the link between meteorological drought and streamflow: Effects of climate‐catchment interaction

Exploring the link between meteorological drought and streamflow: Effects of climate‐catchment interaction

Correction of broadband snow albedo measurements affected by unknown slope and sensor tilts

Extreme weather exposure identification for road networks – a comparative assessment of statistical methods

Contact Info

Product

Resources

About