Majken Caroline Looms Zibar

Majken Caroline Looms Zibar

Associate Professor


  1. Published

    Cosmic Ray Neutron Soil Moisture Estimation Using Physically Based Site‐Specific Conversion Functions

    Andreasen, Mie, Jensen, Karsten Høgh, Bogena, H., Desilets, D., Zreda, M. & Zibar, Majken Caroline Looms, 1 Nov 2020, In: Water Resources Research. 56, 11, 20 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Comparison of evapotranspiration estimates using the water balance and the eddy covariance methods

    Denager, Tanja, Sonnenborg, Torben Obel, Zibar, Majken Caroline Looms & Jensen, Karsten Høgh, 13 Apr 2020, In: Vadose Zone Journal. 19, 1, 21 p., e20032.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Advancing quantitative understanding of self-potential signatures in the critical zone through long-term monitoring

    Hu, K., Jougnot, D., Huang, Q., Zibar, Majken Caroline Looms & Linde, N., 2020, In: Journal of Hydrology. 585, 124771.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Data-driven source wavelets for crosshole ground-penetrating radar full-waveform modeling

    Svendsen, Espen Bing, Nielsen, Lars, Nilsson, B., Kjær, Kurt H. & Zibar, Majken Caroline Looms, 11 Nov 2020, p. 392-395. 4 p.

    Research output: Contribution to conferencePaperResearchpeer-review

  5. Published

    On the usage of diffractions in ground-penetrating radar reflection data: Implications for time-lapse gas migration monitoring

    Yuan, H., Zibar, Majken Caroline Looms & Nielsen, Lars, 1 Sep 2020, In: Geophysics. 85, 5, p. H83-H95 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Rock physics templates for chalk by combining acoustic and EM velocity

    Yuan, H., Zibar, Majken Caroline Looms & Nielsen, Lars, 2020, p. 5407. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

ID: 543643