Data

  • Ma, Y., C. Montzka, B. Bayat, and S. Kollet (2021): Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe, Jülich DATA, V1. DOI:10.26165/JUELICH-DATA/WPRA1F

  • Montzka, C., C. Brogi, M. Matveeva, D. Mengen, S. Baum, B. Bayat, H. Bogena, A. Coccia, V. Graf, J. Jakobi, Y. Ma, F. Mattia, D. Palmisano, P. Rademske, U. Rascher, G. Satalino, M. Schmidt, and B. Siegmann (2020): SARSense: Technical Assistance for Airborne Measurements during the SAR Sentinel Experiment. Final Report, ESA Contract No. 4000125444/18/NL/LF. DOI:10.5270/ESA-6229b69

  • Naz, B.S., S. Kollet, H.-J. Hendricks Franssen, C. Montzka, and W. Kurtz (2019): ESSMRA V1.1: 3 km surface soil moisture reanalysis over Europe (2000 - 2015). PANGAEA. DOI:10.1594/PANGAEA.907036

  • Colliander, A., H. Al Jassar, W. Dorigo, J. Martinez-Fernandez, C. Montzka, M. Seyfried, et al. (2017): SMAP/In Situ Core Validation Site Land Surface Parameters Match-Up Data, Version 1. Boulder, Colorado, USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. DOI:10.5067/DXAVIXLY18KM

  • Montzka, C., K. Rötzer, H.R. Bogena, and H. Vereecken (2017): Sub-grid soil moisture variability of SMAP, SMOS and ASCAT predicted on basis of soil texture. DOI:10.1594/PANGAEA.878889

  • Montzka, C., M. Herbst, L. Weihermüller, A. Verhoef, and H. Vereecken (2017): A global data set of soil hydraulic properties and sub-grid variability of soil water retention and hydraulic conductivity curves. DOI:10.1594/PANGAEA.870605