Jon Olav Skøien
YOU?
Author Swipe
View article: Statistical atlas of European agriculture: gridded data from the agricultural census 2020 and the spatial distribution of CAP contextual indicators
Statistical atlas of European agriculture: gridded data from the agricultural census 2020 and the spatial distribution of CAP contextual indicators Open
International organizations have voiced the need to integrate geographical information from agricultural holdings into official statistics to gain a better understanding of the spatial dynamics of the European agricultural sector. This pap…
View article: A flexible approach for statistical disclosure control in geospatial data
A flexible approach for statistical disclosure control in geospatial data Open
Due to confidentiality restrictions in releasing census and survey data, such as agricultural data from the European farm structure survey (9 million records), the data are aggregated to a coarse resolution (NUTS2 administrative regions) b…
View article: Assessing organic farming uptake across Europe using census data from 9 million farms 
Assessing organic farming uptake across Europe using census data from 9 million farms  Open
The uptake of organic farming is heterogeneous across the European Union (EU) and across farming systems. According to the 2020 agricultural census, at 14.8 million ha, the area under organic farming accounted for 9.1% of the total EU agri…
View article: High resolution maps of European agricultural indicators
High resolution maps of European agricultural indicators Open
The last European agricultural census, organized by Eurostat, took place in 2020, collecting more than 300 variables on agriculture and farm structure from 9.03 million farmers in the EU (and EFTA countries Iceland, Switzerland and Norway)…
View article: Statistical Atlas of European Agriculture: Gridded Data from the Agricultural Census 2020 and the Spatial Distribution of CAP Contextual Indicators
Statistical Atlas of European Agriculture: Gridded Data from the Agricultural Census 2020 and the Spatial Distribution of CAP Contextual Indicators Open
International organizations have voiced the need to integrate geographical information from agricultural holdings into official statistics to gain a better understanding of the spatial dynamics of the European agricultural sector. This pap…
View article: Geospatial data from agricultural census, IFSGRID
Geospatial data from agricultural census, IFSGRID Open
Geospatial data from the 2020 agricultural census provide information related to the geographical location of a farm, for example the location of the main buildings, where the main activities are carried out, or the nearest village. They a…
View article: Quantitative Measurement of Landscape Features in EU Agriculture: A Novel Indicator Approach 
Quantitative Measurement of Landscape Features in EU Agriculture: A Novel Indicator Approach  Open
The conservation and creation of landscape features is recognised as a key conservation tool to halt the loss of agricultural biodiversity in European farmland.This study introduces a new indicator to quantify landscape features in EU agri…
View article: Bridging Field Surveys and Remote Sensing for Enhanced Landscape Feature Analysis in EU Agriculture
Bridging Field Surveys and Remote Sensing for Enhanced Landscape Feature Analysis in EU Agriculture Open
This study conducts a comprehensive comparison of landscape feature data derived from different sources — Small Woody Features (SWF) product from Copernicus Land Monitoring system, LUCAS Landscape Feature (LF) Module, and LUCAS Trans…
View article: Optimized resolution of gridded data from European agricultural census
Optimized resolution of gridded data from European agricultural census Open
The European agricultural census  in 2020 collected a large number of variables from the major share of all the farms within the European Union. There are many potential applications of such a data set, from direct estimates of agricu…
View article: Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves
Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves Open
For about 24 000 river basins across Europe, we provide a continuous representation of the streamflow regime in terms of empirical flow-duration curves (FDCs), which are key signatures of the hydrological behaviour of a catchment and are w…
View article: EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe
EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe Open
In this paper we present EMO-5 (“European Meteorological Observations”, spatial resolution of 5 km), a European high-resolution, (sub-)daily, multi-variable meteorological dataset built on historical and real-time observations obtained by …
View article: A new dataset of river flood hazard maps for Europe and the Mediterranean Basin
A new dataset of river flood hazard maps for Europe and the Mediterranean Basin Open
In recent years, the importance of continental-scale hazard maps for riverine floods has grown. Nowadays, such maps are used for a variety of research and commercial activities, such as evaluating present and future risk scenarios and adap…
View article: Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves
Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves Open
For about 24,000 river basins across Europe, we provide a continuous representation of the streamflow regime in terms of empirical flow–duration curves (FDCs), which are key signatures of the hydrological behaviour of a catchment and are w…
View article: EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe
EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe Open
In this paper we present EMO-51, a European high-resolution, (sub-)daily, multi-variable meteorological data set built on historical and real-time observations obtained by integrating data from 18,964 ground weather stations, four high-res…
View article: On the implementation of post-processing of runoff forecast ensembles
On the implementation of post-processing of runoff forecast ensembles Open
Different post-processing techniques are frequently employed to improve the outcome of ensemble forecasting models. The main reason is to compensate for biases caused by errors in model structure or initial conditions, and as a correction …
View article: Comment on essd-2020-313
Comment on essd-2020-313 Open
Abstract. In recent years, the importance of continental-scale hazard maps for riverine floods has grown. Nowadays, such maps are used for a variety of research and commercial activities, such as evaluating present and future risk scenario…
View article: A new dataset of river flood hazard maps for Europe and the Mediterranean Basin region
A new dataset of river flood hazard maps for Europe and the Mediterranean Basin region Open
Continental scale hazard maps for riverine floods have grown in importance in the last years. Nowadays, they are used for a variety of research and commercial activities, such as evaluating present and future risk scenarios and adaptation …
View article: River flood hazard maps for Europe and the Mediterranean Basin region
River flood hazard maps for Europe and the Mediterranean Basin region Open
The maps depict flood prone areas for river flood events for six different flood frequencies (from 1-in-10-years to 1-in-500-years). The extent comprises most of the geographical Europe and all the river basins entering the Mediterranean a…
View article: EMO-5: Copernicus pan-European high-resolution meteorological data set for large-scale hydrological modelling
EMO-5: Copernicus pan-European high-resolution meteorological data set for large-scale hydrological modelling Open
<p>We present EMO-5, a Pan-European high-resolution (5 km), (sub-)daily, multi-variable meteorological data set especially developed to the needs of an operational, pan-European hydrological service (EFAS; European Flood Awareness Sy…
View article: Will post-processing always improve my forecasts?
Will post-processing always improve my forecasts? Open
<p>Different statistical techniques are frequently employed to post-process the outcome of ensemble forecasting models. The main reason is to compensate for biases due to errors in model structure or initial conditions, and as a corr…
View article: Review of "A geostatistical framework for estimating flow indices by exploiting short records and long-term spatial averages &amp;#8211; Application to annual and monthly runoff"
Review of "A geostatistical framework for estimating flow indices by exploiting short records and long-term spatial averages &#8211; Application to annual and monthly runoff" Open
This manuscript describes a methodology for spatial interpolation of time series, which can also take into account short records at the target location.
View article: Alpine Water – common good or source of conflicts?
Alpine Water – common good or source of conflicts? Open
Changing environmental and climatic conditions as well as growing demand is likely to lead to conflicts in water use and water management in the Alps. This ForumAlpinum will identify hot spots of water use and management in the Alps, will …
View article: Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region
Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region Open
Flow–duration curves (FDCs) are essential to support decisions on water resources management, and their regionalization is fundamental for the assessment of ungauged basins. In comparison with calibrated rainfall–runoff models, statistical…
View article: Transferring measured discharge time series: Large‐scale comparison of Top‐kriging to geomorphology‐based inverse modeling
Transferring measured discharge time series: Large‐scale comparison of Top‐kriging to geomorphology‐based inverse modeling Open
Few methods directly transfer streamflow measurements for continuous prediction of ungauged catchments. Top‐kriging has been used mainly to predict the statistical properties of runoff but has been shown to outperform traditional regionali…
View article: Mapping ignorance: 300 years of collecting flowering plants in Africa
Mapping ignorance: 300 years of collecting flowering plants in Africa Open
Aim Spatial and temporal biases in species‐occurrence data can compromise broad‐scale biogeographical research and conservation planning. Although spatial biases have been frequently scrutinized, temporal biases and the overall quality of …
View article: Regionalization of post-processed ensemble runoff forecasts
Regionalization of post-processed ensemble runoff forecasts Open
For many years, meteorological models have been run with perturbated initial conditions or parameters to produce ensemble forecasts that are used as a proxy of the uncertainty of the forecasts. However, the ensembles are usually both biase…
View article: The role of station density for predicting daily runoff by top-kriging interpolation in Austria
The role of station density for predicting daily runoff by top-kriging interpolation in Austria Open
Direct interpolation of daily runoff observations to ungauged sites is an alternative to hydrological model regionalisation. Such estimation is particularly important in small headwater basins characterized by sparse hydrological and clima…