Gregor Laaha
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View article: Urban wildlife monitoring using citizen science suggests that European hedgehogs and badgers select different habitats
Urban wildlife monitoring using citizen science suggests that European hedgehogs and badgers select different habitats Open
Some wildlife species can successfully adapt to urban environments. To prevent potential conflict of these species with humans or their pets, a better understanding of the presence of urban wildlife is needed. However, traditional monitori…
View article: Exploring Process Heterogeneity in Environmental Statistics: Examples and Methodological Advances
Exploring Process Heterogeneity in Environmental Statistics: Examples and Methodological Advances Open
Environmental models typically rely on stationarity assumptions. However, environmental systems are complex, and processes change over states or seasons, leading to often overlooked heterogeneity. This paper explores methods to incorporate…
View article: Statistical Learning and Topkriging Improve Spatio‐Temporal Low‐Flow Estimation
Statistical Learning and Topkriging Improve Spatio‐Temporal Low‐Flow Estimation Open
This study evaluates the potential of a novel hierarchical space‐time model for predicting monthly low‐flow in ungauged basins. The model decomposes the monthly low‐flows into a mean field and a residual field, where the mean field represe…
View article: What should we actually regionalize? - The benefits of temporal aggregation for low-flow prediction.
What should we actually regionalize? - The benefits of temporal aggregation for low-flow prediction. Open
Predicting low-flow characteristics in ungauged basins is crucial for effective water management. Regionalization of low flow can either directly focus on lumped characteristics, such as mean annual minimum (MAM), or on seasonal or monthly…
View article: Improving stochastic rainfall models through event classification
Improving stochastic rainfall models through event classification Open
Stochastic rainfall models rely on accurate rainfall distributions. Since rainfall is generated by various processes, rainfall series are composed of events with different distributions. In such cases, the use of mixed distribution approac…
View article: Non-stationary low-flow frequency analysis with Mixture Generalized Extreme Value (GEV) distribution
Non-stationary low-flow frequency analysis with Mixture Generalized Extreme Value (GEV) distribution Open
Extreme low flow is a critical component of the river flow regime, posing significant risks for water management by impacting water availability and quality. Addressing these challenges requires accurate information on design low flow corr…
View article: Low flow frequency analyses: A new approach integrating seasonality and multivariate characteristics of drought
Low flow frequency analyses: A new approach integrating seasonality and multivariate characteristics of drought Open
In this paper, we propose a new approach for multivariate drought frequency analysis. It combines extreme value statistics of magnitude, duration and deficit volume of annual streamflow drought events. Drought magnitude is represented by t…
View article: Ability of Austria’s high spatiotemporal resolution of INCA  for rainfall erosivity assessment in the main agricultural production zones
Ability of Austria’s high spatiotemporal resolution of INCA  for rainfall erosivity assessment in the main agricultural production zones Open
Rainfall erosivity is a critical parameter for soil degradation assessment. It is especially important in areas prone to soil erosion due to frequent or intense rainfall events. Rainfall erosivity is typically quantified through the EI30 i…
View article: Code and data to "Statistical learning and topkriging improve spatio-temporal low-flow estimation"
Code and data to "Statistical learning and topkriging improve spatio-temporal low-flow estimation" Open
This data and software supports the manuscript "Statistical learning and topkriging improve spatio-temporal low-flow estimation" (https:://doi.org/10.1029/2024WR038329). The dataset consists of: all produced predictions of the models (data…
View article: Increasing Trends of Shallow Groundwater Warming in Vienna's Urban Aquifers
Increasing Trends of Shallow Groundwater Warming in Vienna's Urban Aquifers Open
Shallow groundwater in many cities around the world is subject to elevated temperatures that pose a risk to the groundwater quality and ecosystems. The objective of this study is to assess the suitability of different trend estimation meth…
View article: Two unprecedented outbreaks of the European spruce bark beetle, <i>Ips typographus</i> L. (Col., Scolytinae) in Austria since 2015: Different causes and different impacts on forests
Two unprecedented outbreaks of the European spruce bark beetle, <i>Ips typographus</i> L. (Col., Scolytinae) in Austria since 2015: Different causes and different impacts on forests Open
Austria has been facing two outbreaks of the European spruce bark beetle, Ips typographus L., in the last ten years. In this study, we compile data of damage caused by I. typographus L. as well as storm and snow breakage from 2002 to 2022 …
View article: Climate Driven Trends in Historical Extreme Low Streamflows on Four Continents
Climate Driven Trends in Historical Extreme Low Streamflows on Four Continents Open
Understanding temporal trends in low streamflows is important for water management and ecosystems. This work focuses on trends in the occurrence rate of extreme low‐flow events (5‐ to 100‐year return periods) for pooled groups of stations.…
View article: Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns
Rainfall erosivity across Austria's main agricultural areas: Identification of rainfall characteristics and spatiotemporal patterns Open
Study region: Target area of this study are the main agricultural production zones of Austria. Most important croplands cover the flat to pre-alpine areas concentrated in the north, east, and southeast of Austria. Study focus: The novelty …
View article: What contradictory signals in flood trends can tell us about drivers of hydrological change
What contradictory signals in flood trends can tell us about drivers of hydrological change Open
Flood trends are commonly assessed based on instantaneous peak flows on an hourly timescale, as these are most relevant for flood management. However, when hourly data are missing, it has been suggested to perform flood statistics on daily…
View article: A comparison of classification methods to perform a typology of precipitation events for soil erosion modelling
A comparison of classification methods to perform a typology of precipitation events for soil erosion modelling Open
Soil erosion is a major threat to soil resources. Our ACRP-supported project EROS-A aims to improve erosion modelling by investigating the role of extreme precipitation and associated erosivity on soil erosion in the Main Agricultural Prod…
View article: HYDROLOGICAL DROUGHT &#8211; Processes and Estimation Methods for Streamflow and Groundwater
HYDROLOGICAL DROUGHT – Processes and Estimation Methods for Streamflow and Groundwater Open
Drought is a worldwide phenomenon that originates from a prolonged deficiency in precipitation, often combined with high evaporation, over an extended region. The resultant meteorological water balance deficiency may cause a hydrological d…
View article: Spatio-temporal distribution of subsurface urban heat islands &#8211; Insights from shallow groundwater temperature monitoring in Vienna
Spatio-temporal distribution of subsurface urban heat islands – Insights from shallow groundwater temperature monitoring in Vienna Open
In numerous cities worldwide, a rise in surface temperatures had been observed, contributing to the so-called "urban heat island effect". This effect leads to extended and hotter periods of warm weather within urban areas not only above bu…
View article: Apparent contradiction in the projected climatic water balance for Austria: wetter conditions on average versus higher probability of meteorological droughts
Apparent contradiction in the projected climatic water balance for Austria: wetter conditions on average versus higher probability of meteorological droughts Open
In this paper future changes of surface water availability in Austria are investigated. We use an ensemble of downscaled and bias-corrected regional climate model simulations of the EURO-CORDEX initiative under moderate mitigation (RCP4.5)…
View article: Apparent contradiction in the projected climatic water balance for Austria: wetter condition on average versus higher probability of meteorological droughts
Apparent contradiction in the projected climatic water balance for Austria: wetter condition on average versus higher probability of meteorological droughts Open
In this paper future changes of surface water availability in Austria are investigated. We use an ensemble of downscaled and bias-corrected regional climate model simulations of the EURO-CORDEX initiative under moderate mitigation (RCP4.5)…
View article: Statistical learning and topkriging improve spatio-temporal low-flow estimation
Statistical learning and topkriging improve spatio-temporal low-flow estimation Open
This study assesses the potential of a hierarchical space-time model for monthly low-flow prediction in Austria. The model decomposes the monthly low-flows into a mean field and a residual field, where the mean field estimates the seasonal…
View article: Code and model output to "Statistical learning and topkriging improve spatio-temporal low-flow estimation"
Code and model output to "Statistical learning and topkriging improve spatio-temporal low-flow estimation" Open
This data and software supports the currently under peer-review paper "Statistical learning and topkriging improve spatio-temporal low-flow estimation". The dataset consists of: all produced predictions of the models (data/predictions.RDS …
View article: A mixed distribution approach for low-flow frequency analysis – Part 2: Comparative assessment of a mixed probability vs. copula-based dependence framework
A mixed distribution approach for low-flow frequency analysis – Part 2: Comparative assessment of a mixed probability vs. copula-based dependence framework Open
In climates with a warm and a cold season, low flows are generated by different processes, which violates the homogeneity assumption of extreme value statistics. In this second part of a two-part series, we extend the mixed probability est…
View article: Comment on egusphere-2022-476
Comment on egusphere-2022-476 Open
Abstract. There are indications that the reference climatology underlying meteorological drought has shown non-stationarity at seasonal, decadal, and centennial time scales, impacting the interpretation of normalized drought indices and po…