A5027140110- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Climate variability and models
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- Hydrological Forecasting Using AI
- Urban Stormwater Management Solutions
- demographic modeling and climate adaptation
- Complex Systems and Time Series Analysis
- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Urban Heat Island Mitigation
- Additive Manufacturing Materials and Processes
- Plant Water Relations and Carbon Dynamics
- Soil and Unsaturated Flow
- Water resources management and optimization
- Science and Climate Studies
- High Entropy Alloys Studies
- Groundwater flow and contamination studies
- Social and Educational Sciences
- Welding Techniques and Residual Stresses
- Peatlands and Wetlands Ecology
- Soil and Water Nutrient Dynamics
- Climate Change and Environmental Impact
Swedish Meteorological and Hydrological Institute
2016-2025
Lund University
1992-2025
University West
2014-2024
Region Västra Götaland
2024
Aalborg University
2016
Chalmers University of Technology
2010
Kyushu University
1998-2002
National Research Institute of Rural Engineering, Water and Forests
2001
As climate change could have considerable influence on hydrology and corresponding water management, appropriate inputs should be used for assessing future impacts. Although the performance of regional models (RCMs) has improved over time, systematic model biases still constrain direct use RCM output hydrological impact studies. To address this, a distribution-based scaling (DBS) approach was developed that adjusts precipitation temperature from RCMs to better reflect observations....
The runoff from and the water balance of a thin extensive green roof with sedum-moss have been studied. soil cover is about 3 cm underlain by drainage layer. determined on monthly basis. much reduced compared to hard roofs because evapotranspiration. annual rather close that natural river basins. Although most rainy days there no or little roof, highest observed daily values are rainfall. Runoff initiated when at field capacity, which for studied corresponds 9 mm storage. After that, not...
Ongoing urban expansion may degrade natural resources, ecosystems, and the services they provide to human societies, e.g., through land use water changes feedbacks. In order control minimize such negative impacts of urbanization, best practices for sustainable development must be identified, supported, reinforced. To accomplish this, assessment methods tools need consider couplings feedbacks between social ecological systems, as basis improving planning management development. Collaborative...
Accurate rainfall estimates with high spatiotemporal resolution are vital for urban drainage applications, and if adjusted to ground observations, weather radar data has potential these applications. The density of meteorological rain gauges adjustment is, however, often sparse non-uniformly distributed in space. Opportunistic sensors provide an increased observations but reduced or unknown accuracy each individual station. This paper demonstrates the merging from radar, personal stations,...
Two‐year series of 1‐min rainfall intensities observed by rain gages at six different points are analyzed to obtain information about the fractal behavior distribution in time. First, time investigated using a monodimensional approach (simple scaling) calculating box and correlation dimensions, respectively. The results indicate scaling but with dimensions for aggregation periods. periods where changes dimension occur can be related average event durations dry period lengths. Also, is shown...
Hydrological climate change impact assessment is generally performed by following a sequence of steps from global and regional modelling, through data tailoring (bias-adjustment downscaling) hydrological to analysis assessment. This “climate-hydrology-assessment chain” has been developed with primary focus on applicability medium-sized rural basin, which still the main type domain investigated in this context. However, an increasing degree being at scales smaller or larger than basin....
Abstract. Regional climate model simulations have routinely been applied to assess changes in precipitation extremes at daily time steps. However, shorter sub-daily not received as much attention. This is likely because of the limited availability high temporal resolution data, both for observations and outputs. Here, summertime depth duration frequencies a subset EURO-CORDEX 0.11∘ ensemble are evaluated with several European countries durations 1 12 h. Most strongly underestimate 10-year...
Abstract. Weather radar has become an invaluable tool for monitoring rainfall and studying its link to hydrological response. However, when it comes accurately measuring small-scale extremes responsible urban flooding, many challenges remain. The most important of them is that tends underestimate compared gauges. hope by at higher resolutions making use dual-polarization radar, these mismatches can be reduced. Each country developed own strategy addressing this issue. since there no common...
The multifractal properties of daily rainfall were investigated in two contrasting climates: an east Asian monsoon climate (China) with extreme variability and a temperate (Sweden) moderate variability. First, time series studied. results showed that both climates can be viewed as the result multiplicative cascade process for range 1–32 days. temporal data exhibited scaling moments orders up to 2.5 area 4.0 clear climates. Second, spatial distributions pooled into different...
Abstract The transformation of rainfall into runoff is one the most important processes in hydrology. In past few decades, a wide variety automated or computer-based approaches have been applied to model this process. However, many such an limitation that they treat rainfall-runoff process as realization only parameters linear relationships rather than whole. What required, therefore, approach can capture not overall appearance but also intricate details nonlinear behaviour purpose study...
Abstract. The multifractal properties of a 2-year time series 8-min rainfall intensity observations are investigated. empirical probability distribution function suggests hyperbolic intermittency with divergence moment order greater than 2. power spectrum E(f) the obeys law form E(f)=f -0.66 in range scales 8 min to approximately 3 days. variation average statistical moments scale shows that is characterized by behaviour between and 11 parameters associated universality were estimated be...
National-scale precipitation observations in Sweden have traditionally relied on a combination of weather stations and C-band radar networks. These provide good spatiotemporal coverage accurate quantification most stratiform events across large areas. In the urban context, however, their resolution may be insufficient to capture critical rainfall variations. This limitation is particularly evident for convective rainfall, which often highly localized (e.g., cloudbursts), capable causing...
For effective urban stormwater management information on rainfall at sufficient temporal and spatial resolution is an essential input. The lack of, or insufficient, data in catchments a global issue that particularly pronounced lower-income countries, where the absence of traditional observation systems, combined with rapidly growing populations, makes challenge even more critical. Opportunistic sensing (OS) precipitation can help this regard, especially because  two most common OS...
Several studies have used artificial neural networks (NNs) to estimate local or regional precipitation/rainfall on the basis of relationships with coarse-resolution atmospheric variables. None these experiments satisfactorily reproduced temporal intermittency and variability in rainfall. We attempt improve performance by using two approaches: (1) couple NNs series, first determine rainfall occurrence, second intensity during rainy periods; (2) categorize into categories train NN reproduce...