Model Calibration Criteria for Estimating Ecological Flow Characteristics

Autor: Marc Vis, Rodney Knight, Sandra Pool, William Wolfe, Jan Seibert

Publikováno v: Water, Vol 7, Iss 5, Pp 2358-2381 (2015)

Quantification of streamflow characteristics in ungauged catchments remains a challenge. Hydrological modeling is often used to derive flow time series and to calculate streamflow characteristics for subsequent applications that may differ from those

Externí odkaz: https://doaj.org/article/a3dfb3dd0fe84115ae06c123db8db223

CAMELS-CH - Building a Common Open Database for Catchments in Switzerland

Autor: Rosi Siber, Marvin Höge, Martina Kauzlaric, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Daniel Viviroli, Massimiliano Zappa, Anna E. Sikorska-Senoner, Sandra Pool, Marius Günter Floriancic, Peter Reichert, Jan Seibert, Nans Addor, Bettina Schaefli, Fabrizio Fenicia

Publikováno v: Siber, Rosi; Höge, Marvin; Kauzlaric, Martina; Schönenberger, Ursula; Horton, Pascal; Schwanbeck, Jan; Viviroli, Daniel; Zappa, Massimiliano; Sikorska-Senoner, Anna E.; Pool, Sandra; Floriancic, Marius Günter; Reichert, Peter; Seibert, Jan; Addor, Nans; Schaefli, Bettina; Fenicia, Fabrizio (May 2022). CAMELS-CH-Building a Common Open Database for Catchments in Switzerland. In: EGU General Assembly 2022. Vienna, Austria. 23–27 May 2022. 10.5194/egusphere-egu22-9859

Over recent years, numerous open catchment datasets have been published. In 2017, the first CAMELS (catchment attributes and meteorology for large-sample studies) dataset was released for the continental US by Addor et al. (2017). It comprises data f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5285836eec4430cb98f2b7ddb4e02a2
https://doi.org/10.5194/egusphere-egu22-9859

Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study

Autor: Jan Seibert, Marc Vis, Sandra Pool

Publikováno v: Water Resources Research. 57

Model parameter values for ungauged catchments can be regionalized from hydrologically similar gauged catchments. Achieving reliable and robust predictions in ungauged catchments by regionalization, however, is still a major challenge. Here, we condu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7dbbf030aa4649aa52688be5f374e798
https://doi.org/10.1029/2021wr030437

Value of a Limited Number of Discharge Observations for Improving Regionalization: A Large‐Sample Study Across the United States

Autor: Jan Seibert, Daniel Viviroli, Sandra Pool

Publikováno v: Water Resources Research. 55:363-377

Even in regions considered as densely monitored, most catchments are actually ungauged. Prediction of discharge in ungauged catchments commonly relies on parameter regionalization. While ungauged catchments lack continuous discharge time series, a li

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b86eb3958c92bfb9f30f2e76372696f6
https://doi.org/10.1029/2018wr023855

Modeling the effect of flood and drip irrigation on groundwater recharge

Autor: Joaquin Jimenez-Martinez, Manuel Pulido-Velazquez, Carles Sanchis-Ibor, Cristina Puertes, Sandra Pool, Alberto García-Prats, Félix Francés, Hong Yang, Mario Schirmer

Irrigation modernization, here defined as the replacement of traditional flood irrigation systems by pressurized drip-irrigation technology, has been widely promoted with the aim to move towards a more sustainable use of freshwater resources in irrig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd60cb2184b74b153dd7ce8a8d8d076d
https://doi.org/10.5194/egusphere-egu2020-9514