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Profil bibliographique

Anker Lajer Højberg

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

143Publications signalées
3308Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Hydrology and Watershed Management StudiesSoil and Water Nutrient DynamicsGroundwater flow and contamination studiesGroundwater and Isotope GeochemistryFlood Risk Assessment and Management

Les publications récentes

Accès ouvert 2026 conference-abstract OpenAlex

From 1D Independence to 3D Coherence: Geostatistical Simulation of Probabilistic TEM Inversions

Signe Nielsen, Rasmus Bødker Madsen, Anders Damsgaard, Thomas Mejer Hansen et autres

Groundwater modelling relies on three-dimensional (3D) geological models as structural input to predict subsurface processes such as groundwater flow and contaminant transport. However, model uncertainty in the geological domain, originating from sparse data coverage and the inherent non-uniqueness of geophysical inverse problems, …

dk (code pays fourni par la source)

0 citations
Accès ouvert 2026 dataset OpenAlex

National nitrogen retention maps for Denmark, version 2026

Anker Lajer Højberg, Hans Thodsen, Henrik Tonbjerg

This repository contains the national retention maps for Denmark version 2026. “TotalRetention_regioner_v260327.tif” is the total retention (nitrogen removal) from the source location to the coast, “Grundvandsretention_regioner_v260327.tif” is the retention during transport in the groundwater and “Overfladevandsretention_260327.tif” is the retention in the surface …

dk (code pays fourni par la source)

0 citations Geological Survey of Denmark and Greenland (GEUS)
Accès ouvert 2025 article OpenAlex

Seasonal variability of nitrate concentrations below the root zone: A monthly predictive modeling approach

Franca Giannini Kurina, Raphael Schneider, Anker Lajer Højberg, Christen Duus Børgesen

Nitrogen Leaching Estimation System version 5 (NLES5) is an empirical model extensively used for estimating annual nitrate leaching from the root zone. The model is based on leaching data obtained by multiplying the measured nitrate concentration below the root zone depth by …

dk (code pays fourni par la source)

1 citation Journal of Environmental Quality
Accès ouvert 2025 preprint OpenAlex

Seasonal variability of nitrate concentrations below the root zone: A monthly predictive modelling approach

Franca Giannini Kurina, Raphael Schneider, Anker Lajer Højberg, Christen Duus Børgesen

NLES5 is an empirical model extensively used for estimating annual nitrate leaching from the root zone. The model is based on leaching data obtained by multiplying the measured nitrate concentration below the root zone depth by the percolation calculated using a hydrological …

dk (code pays fourni par la source)

0 citations
Accès ouvert 2025 article OpenAlex

CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations

Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg et autres

Large samples of hydrometeorological time series and catchment attributes are critical for improving the understanding of complex hydrological processes, hydrological model development, and performance benchmarking. CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets have been developed in several countries and regions …

dk, us (code pays fourni par la source)

13 citations Earth system science data

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