14 citations as recorded by crossref.

1. The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems A. Rossa et al. https://doi.org/10.1016/j.atmosres.2010.11.016
2. First Results of SMOS Soil Moisture Validation in the Upper Danube Catchment J. dall'Amico et al. https://doi.org/10.1109/TGRS.2011.2171496
3. Application of a hydrometeorological model chain to investigate the effect of global boundaries and downscaling on simulated river discharge T. Marke et al. https://doi.org/10.1007/s12665-013-2876-z
4. Using stable isotopes to estimate travel times in a data‐sparse Arctic catchment: Challenges and possible solutions D. Tetzlaff et al. https://doi.org/10.1002/hyp.13146
5. Evaluation of nutrient loads conveyed to the deep subalpine lakes of Northern Italy through their main tributaries P. Dezuanni et al. https://doi.org/10.3389/fenvs.2025.1524250
6. Current awareness https://doi.org/10.1002/hyp.5826
7. PROMET – Large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds W. Mauser & H. Bach https://doi.org/10.1016/j.jhydrol.2009.07.046
8. On the prediction of the Toce alpine basin floods with distributed hydrologic models N. Montaldo et al. https://doi.org/10.1002/hyp.6260
9. Estimating degree-day factors from MODIS for snowmelt runoff modeling Z. He et al. https://doi.org/10.5194/hess-18-4773-2014
10. The SMOS Validation Campaign 2010 in the Upper Danube Catchment: A Data Set for Studies of Soil Moisture, Brightness Temperature, and Their Spatial Variability Over a Heterogeneous Land Surface J. dall'Amico et al. https://doi.org/10.1109/TGRS.2012.2196523
11. Uncertainty Assessment of the SMOS Validation in the Upper Danube Catchment F. Schlenz et al. https://doi.org/10.1109/TGRS.2011.2171694
12. Climate change impact assessment under data scarcity by hydrological and hydrodynamic modeling in Izmit Bay/Turkey G. Engin et al. https://doi.org/10.35208/ert.777323
13. Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany F. Schlenz et al. https://doi.org/10.5194/hess-16-3517-2012
14. Integrated Landsat Image Analysis and Hydrologic Modeling to Detect Impacts of 25-Year Land-Cover Change on Surface Runoff in a Philippine Watershed J. Santillan et al. https://doi.org/10.3390/rs3061067