Search Results - "Looms, Majken C."

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  1. 1

    Mapping spatiotemporal soil moisture in highly heterogeneous agricultural landscapes using mobile dual‐spectra cosmic‐ray neutron sensing by Andreasen, Mie, Kragh, Søren Julsgaard, Meyer, Rena, Jensen, Karsten Høgh, Looms, Majken C.

    Published in Vadose zone journal (01-11-2023)
    “…Accurate large‐scale soil moisture (SM) maps are crucial for catchment‐scale hydrological models used for water resource management and warning systems for…”
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    Journal Article
  2. 2

    Comparison of evapotranspiration estimates using the water balance and the eddy covariance methods by Denager, Tanja, Looms, Majken C., Sonnenborg, Torben O., Jensen, Karsten H.

    Published in Vadose zone journal (2020)
    “…The eddy covariance method estimates the energy flux of latent heat for evapotranspiration. However, imbalance between the land surface energy output and input…”
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    High‐Resolution Geological Information from Crosshole Ground Penetrating Radar in Clayey Tills by Jensen, Bolette B., Rosenberg, Louise, Tsitonaki, Aikaterini, Tuxen, Nina, Bjerg, Poul L., Nielsen, Lars, Hansen, Thomas M., Looms, Majken C.

    Published in Ground water monitoring & remediation (01-09-2023)
    “…Heterogeneous glacial deposits dominate large parts of the Northern Hemisphere. In these landscapes, high‐resolution characterization of the geology is crucial…”
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    Cosmic Ray Neutron Soil Moisture Estimation Using Physically Based Site‐Specific Conversion Functions by Andreasen, Mie, Jensen, Karsten H., Bogena, Heye, Desilets, Darin, Zreda, Marek, Looms, Majken C.

    Published in Water resources research (01-11-2020)
    “…In order to advance the use of the cosmic ray neutrons (CRNs) to map soil moisture in heterogeneous landscapes, we need to develop a methodology that reliably…”
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  6. 6

    Seasonal dynamics of canopy interception loss within a deciduous and a coniferous forest by Andreasen, Mie, Christiansen, Jesper R., Sonnenborg, Torben O., Stisen, Simon, Looms, Majken C.

    Published in Hydrological processes (01-04-2023)
    “…Canopy interception loss is a key process in forest hydrology and the role of interception loss in relation to the forest water budgets and future impact of…”
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  7. 7

    Practical data acquisition strategy for time-lapse experiments using crosshole GPR and full-waveform inversion by Keskinen, Johanna, Looms, Majken C., Klotzsche, Anja, Nielsen, Lars

    Published in Journal of applied geophysics (01-08-2021)
    “…Crosshole ground penetrating radar (GPR) methods are increasingly used in time-lapse studies of flow in the uppermost near subsurface with important…”
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  8. 8

    Modeling cosmic ray neutron field measurements by Andreasen, Mie, Jensen, Karsten H., Zreda, Marek, Desilets, Darin, Bogena, Heye, Looms, Majken C.

    Published in Water resources research (01-08-2016)
    “…The cosmic ray neutron method was developed for intermediate‐scale soil moisture detection, but may potentially be used for other hydrological applications…”
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  9. 9

    Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables by Denager, Tanja, Sonnenborg, Torben O, Looms, Majken C, Bogena, Heye, Jensen, Karsten H

    Published in Hydrology and earth system sciences (31-07-2023)
    “…This study evaluates water and energy fluxes and variables in combination with parameter optimization of version 5 of the state-of-the-art Community Land Model…”
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    Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception by Andreasen, Mie, Jensen, Karsten H, Desilets, Darin, Zreda, Marek, Bogena, Heye R, Looms, Majken C

    Published in Hydrology and earth system sciences (03-04-2017)
    “…Cosmic-ray neutron intensity is inversely correlated to all hydrogen present in the upper decimeters of the subsurface and the first few hectometers of the…”
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  13. 13

    Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale by Meyer, Rena, Zhang, Wenmin, Kragh, Søren Julsgaard, Andreasen, Mie, Jensen, Karsten Høgh, Fensholt, Rasmus, Stisen, Simon, Looms, Majken C.

    Published in Hydrology and earth system sciences (04-07-2022)
    “…Soil moisture estimates at high spatial and temporal resolution are of great value for optimizing water and agricultural management. To fill the gap between…”
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  14. 14

    Groundwater flow and mixing in a wetland–stream system: Field study and numerical modeling by Karan, Sachin, Engesgaard, Peter, Looms, Majken C., Laier, Troels, Kazmierczak, Jolanta

    Published in Journal of hydrology (Amsterdam) (30-04-2013)
    “…► We examine a wetland–stream system combining field studies and numerical modeling. ► CFCs and major-ions analyses of samples show distinct changes within the…”
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  15. 15

    Advancing quantitative understanding of self-potential signatures in the critical zone through long-term monitoring by Hu, Kaiyan, Jougnot, Damien, Huang, Qinghua, Looms, Majken C., Linde, Niklas

    Published in Journal of hydrology (Amsterdam) (01-06-2020)
    “…•Multi-year self-potential monitoring at the HOBE hydrological observatory, Denmark.•Year-long instead of decade-long stability of Petiau electrodes in the…”
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  16. 16

    Full-waveform inversion of Crosshole GPR data: Implications for porosity estimation in chalk by Keskinen, Johanna, Klotzsche, Anja, Looms, Majken C., Moreau, Julien, van der Kruk, Jan, Holliger, Klaus, Stemmerik, Lars, Nielsen, Lars

    Published in Journal of applied geophysics (01-05-2017)
    “…The Maastrichtian-Danian chalk is a widely distributed hydrocarbon and groundwater reservoir rock in north-western Europe. Knowledge of lateral and vertical…”
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  17. 17

    Monitoring of saline tracer movement with vertically distributed self-potential measurements at the HOBE agricultural test site by Jougnot, Damien, Linde, Niklas, Haarder, Eline B., Looms, Majken C.

    Published in Journal of hydrology (Amsterdam) (01-02-2015)
    “…The self-potential (SP) method is sensitive to water fluxes in saturated and partially saturated porous media, such as those associated with rainwater…”
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  18. 18

    Geophysical Inversion Using a Variational Autoencoder to Model an Assembled Spatial Prior Uncertainty by Lopez‐Alvis, J., Nguyen, F., Looms, M. C., Hermans, T.

    “…Prior information regarding subsurface spatial patterns may be used in geophysical inversion to obtain realistic subsurface models. Field experiments require…”
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  19. 19

    Accounting for Modeling Errors in Linear Inversion of Crosshole Ground‐Penetrating Radar Amplitude Data: Detecting Sand in Clayey Till by Jensen, B. B., Hansen, T. M., Nielsen, L., Cordua, K. S., Tuxen, N., Tsitonaki, A., Looms, M. C.

    “…Mapping high permeability sand occurrences in clayey till is fundamental for protecting the underlying drinking water resources. Crosshole ground penetrating…”
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  20. 20

    Quantifying the influence of static-like errors in least-squares-based inversion and sequential simulation of cross-borehole ground penetrating radar data by Cordua, Knud S., Nielsen, Lars, Looms, Majken C., Hansen, Thomas M., Binley, Andrew

    Published in Journal of applied geophysics (01-05-2009)
    “…Unknown borehole irregularities and small-scale velocity fluctuations near transmitter and receiver antennae positions may cause relatively strong travel time…”
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