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Francke, T., Heistermann, M., Köhli, M., Budach, C., Schrön, M., and Oswald, S. E.: Assessing the feasibility of a directional CRNS-sensor for estimating soil moisture, Geosci. Instrum. Method. Data Syst. Discuss. [preprint], doi.org/10.5194/gi-2021-18, in review, 2021.

Rasche, D., Köhli, M., Schrön, M., Blume, T., and Güntner, A.: Towards disentangling heterogeneous soil moisture patterns in Cosmic-Ray Neutron Sensor footprints, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2021-202, in review, 2021.

Schrön, M., S. E. Oswald, S. Zacharias, M. Kasner, P. Dietrich, S. Attinger. Neutrons on Rails - trans-regional monitoring of soil water content and snow, Geophysical Research Letters, 2021. www.essoar.org/doi/10.1002/essoar.10507363.1, in review, 2021.

Heistermann, M., Francke, T., Schrön, M., Oswald S.E. (2021). Spatio-temporal soil moisture retrieval at the catchment-scale using a dense network of cosmic-ray neutron sensors, HESS, 25, 4807–4824, https://doi.org/10.5194/hess-25-4807-2021.

Barbosa, L.R., Coelho, V., et al., Distributed groundwater recharge estimation in a tropical wet region based on remote sensing products and complementary reanalysis data, Journal of Hydrology, 2021. DOI:10.25932/publishup-46064

Jakobi, J., Huisman, J. A., Köhli, M., Rasche, D., Vereecken, H., & Bogena, H. R. (2021). The footprint characteristics of cosmic ray thermal neutrons. Geophysical Research Letters, 48, e2021GL094281. doi.org/10.1029/2021GL094281

Patil. A, Fersch, B., Hendricks Franssen, H.J., Kunstmann, H. Assimilation of cosmogenic neutron counts for improved soil moisture prediction in a distributed land surface model, in review, Front. Water – Water and Hydrocomplexity, 2021

Jakobi, J., J.A. Huisman and H. Bogena (2021): Comment on Dong and Ochsner (2018): Soil Texture often exerts stronger Influence than Precipitation on Mesoscale Soil Moisture Patterns. Water Resour. Res. 57: e2020WR027790. DOI:10.1029/2020WR027790/
https://doi.org/10.1029/2020WR027790

Köhli, M., Weimar, J., Schrön, M., Baatz, R. and Schmidt, U. (January 2021): Soil Moisture and Air Humidity Dependence of the Above-Ground Cosmic-Ray Neutron Intensity. Front. Water, 28 January 2021. https://doi.org/10.3389/frwa.2020.544847

Scheiffele, L.M., Baroni, G., Trenton, E.F., Jakobi, J. and Oswald, S.E. (November 2020): A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture. Vadose Zone Journal. Volume19, Issue 1, 2020. https://doi.org/10.1002/vzj2.2008(Creative-Commons-Lizenzen CC-BY 4.0)

Fersch, B., Francke, T., Heistermann, M., Schrön, M., Döpper, V., Jakobi, J., Baroni, G., Blume, T., Bogena, H., Budach, C., Gränzig, T., Förster, M., Güntner, A., Hendricks-Franssen, H.J., Kasner, M., Köhli,M.  Kleinschmit, B., Kunstmann, H., Patil, A., Rasche, D., Scheiffele, L., Schmidt, U., Szulc-Seyfried, S., Weimar, J., Zacharias, S., Zreda, M., Heber, B., Kiese, R., Mares, V., Mollenhauer, H., Völksch, I. und Oswald S. (September 2020): A dense network of cosmic-ray neutron sensors for soil moisture observation in a pre-alpine headwater catchment in Germany.  Earth Syst. Sci. Data, 12, 2289–2309. https://doi.org/10.5194/essd-12-2289-2020

Döpper, V., Gränzig, T., Kleinschmit, B., & Förster, M. (2020).Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification. Remote Sensing. https://doi.org/10.3390/rs12101552

Weimar, J., Köhli, M., Budach, C. and Schmidt, U. (September 2020): Large-Scale Boron-Lined Neutron Detection Systems as a 3He Alternative for Cosmic Ray Neutron Sensing. Front. Water 2:16. https://doi.org/10.3389/frwa.2020.00016

Jakobi, J., Huisman, J.A., Schrön, M., Fiedler, J., Brogi, C., Vereecken, H. and Bogena, H.R. (14 May 2020). Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys. Front. Water 2:10. https://doi.org/10.3389/frwa.2020.00010.

Fersch, B., Senatore, A., Adler, B., Arnault, J., Mauder, M., Schneider, K., Völksch, I., and Kunstmann, H. ( 13 May 2020 ). High-resolution fully coupled atmospheric–hydrological modeling: a cross-compartment regional water and energy cycle evaluation Hydrol. Earth Syst. Sci., 24. https://doi.org/10.5194/hess-24-2457-2020 .

Schattan, P., Köhli, M., Schrön, M., Baroni, G., & Oswald, S. E. ( 2019). Sensing area‐average snow water equivalent with cosmic‐ray neutrons: The influence of fractional snow cover. Water Resources Research, 55. https://doi.org/10.1029/2019WR025647 .

Dazhi Li, Martin Schrön, Markus Köhli, Heye Bogena, Jannis Weimar, Miguel Angel Jiménez Bello, Xujun Han,
Maria Amparo Martínez Gimeno, Steffen Zacharias, Harry Vereecken, and Harrie-Jan Hendricks Franssen (Oct. 2019). Can Drip Irrigation be Scheduled with Cosmic-Ray Neutron Sensing? Vadose Zone J., 18.https://doi.org/10.2136/vzj2019.05.0053

Fersch, B., Jagdhuber, T., Schrön, M., Völksch, I., & Jäger, M. (2018). Synergies for soil moisture retrieval across scales from airborne polarimetric SAR, cosmic ray neutron roving, and an in situ sensor network. Water Resources Research, 54. https://doi.org/10.1029/2018WR023337