Articles | Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 851–870, 2019
https://doi.org/10.5194/hess-23-851-2019
Hydrol. Earth Syst. Sci., 23, 851–870, 2019
https://doi.org/10.5194/hess-23-851-2019
Research article
13 Feb 2019
Research article | 13 Feb 2019

Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product

Sanaa Hobeichi et al.

Related authors

Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate
Sanaa Hobeichi, Gab Abramowitz, Jason Evans, and Anna Ukkola
Hydrol. Earth Syst. Sci., 22, 1317–1336, https://doi.org/10.5194/hess-22-1317-2018,https://doi.org/10.5194/hess-22-1317-2018, 2018
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Effects of spatial and temporal variability in surface water inputs on streamflow generation and cessation in the rain–snow transition zone
Leonie Kiewiet, Ernesto Trujillo, Andrew Hedrick, Scott Havens, Katherine Hale, Mark Seyfried, Stephanie Kampf, and Sarah E. Godsey
Hydrol. Earth Syst. Sci., 26, 2779–2796, https://doi.org/10.5194/hess-26-2779-2022,https://doi.org/10.5194/hess-26-2779-2022, 2022
Short summary
Quantifying multi-year hydrological memory with Catchment Forgetting Curves
Alban de Lavenne, Vazken Andréassian, Louise Crochemore, Göran Lindström, and Berit Arheimer
Hydrol. Earth Syst. Sci., 26, 2715–2732, https://doi.org/10.5194/hess-26-2715-2022,https://doi.org/10.5194/hess-26-2715-2022, 2022
Short summary
On constraining a lumped hydrological model with both piezometry and streamflow: results of a large sample evaluation
Antoine Pelletier and Vazken Andréassian
Hydrol. Earth Syst. Sci., 26, 2733–2758, https://doi.org/10.5194/hess-26-2733-2022,https://doi.org/10.5194/hess-26-2733-2022, 2022
Short summary
Influences of land use changes on the dynamics of water quantity and quality in the German lowland catchment of the Stör
Chaogui Lei, Paul D. Wagner, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 26, 2561–2582, https://doi.org/10.5194/hess-26-2561-2022,https://doi.org/10.5194/hess-26-2561-2022, 2022
Short summary
Impact of spatial distribution information of rainfall in runoff simulation using deep learning method
Yang Wang and Hassan A. Karimi
Hydrol. Earth Syst. Sci., 26, 2387–2403, https://doi.org/10.5194/hess-26-2387-2022,https://doi.org/10.5194/hess-26-2387-2022, 2022
Short summary

Cited articles

Abramowitz, G. and Bishop, C. H.: Climate Model Dependence and the Ensemble Dependence Transformation of CMIP Projections, J. Climate, 28, 2332–2348, https://doi.org/10.1175/JCLI-D-14-00364.1, 2015. 
Aires, F.: Combining Datasets of Satellite-Retrieved Products. Part I: Methodology and Water Budget Closure, J. Hydrometeorol., 15, 1677–1691, https://doi.org/10.1175/JHM-D-13-0148.1, 2014. 
Bai, Y., Xu, H., and Ling, H.: Drought-flood variation and its correlation with runoff in three headstreams of Tarim River, Xinjiang, China, Environ. Earth Sci., 71, 1297–1309, https://doi.org/10.1007/s12665-013-2534-5, 2014. 
Balsamo, G., Beljaars, A., Scipal, K., Viterbo, P., van den Hurk, B., Hirschi, M., and Betts, A. K.: A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System, J. Hydrometeorol., 10, 623–643, https://doi.org/10.1175/2008JHM1068.1, 2009. 
Balsamo, G., Pappenberger, F., Dutra, E., Viterbo, P., and van den Hurk, B.: A revised land hydrology in the ECMWF model: A step towards daily water flux prediction in a fully-closed water cycle, Hydrol. Process., 25, 1046–1054, https://doi.org/10.1002/hyp.7808, 2011. 
Download