Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-851-2019
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, Gab Abramowitz, Jason Evans, and Hylke E. Beck

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
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Qiutong Yu, Bryan A. Tolson, Hongren Shen, Ming Han, Juliane Mai, and Jimmy Lin
Hydrol. Earth Syst. Sci., 28, 2107–2122, https://doi.org/10.5194/hess-28-2107-2024,https://doi.org/10.5194/hess-28-2107-2024, 2024
Short summary
Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
Marcus Buechel, Louise Slater, and Simon Dadson
Hydrol. Earth Syst. Sci., 28, 2081–2105, https://doi.org/10.5194/hess-28-2081-2024,https://doi.org/10.5194/hess-28-2081-2024, 2024
Short summary
Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China
Qian Zhu, Xiaodong Qin, Dongyang Zhou, Tiantian Yang, and Xinyi Song
Hydrol. Earth Syst. Sci., 28, 1665–1686, https://doi.org/10.5194/hess-28-1665-2024,https://doi.org/10.5194/hess-28-1665-2024, 2024
Short summary
A network approach for multiscale catchment classification using traits
Fabio Ciulla and Charuleka Varadharajan
Hydrol. Earth Syst. Sci., 28, 1617–1651, https://doi.org/10.5194/hess-28-1617-2024,https://doi.org/10.5194/hess-28-1617-2024, 2024
Short summary
Multi-model approach in a variable spatial framework for streamflow simulation
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
Hydrol. Earth Syst. Sci., 28, 1539–1566, https://doi.org/10.5194/hess-28-1539-2024,https://doi.org/10.5194/hess-28-1539-2024, 2024
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