Articles | Volume 14, issue 12
https://doi.org/10.5194/hess-14-2383-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-14-2383-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Ensemble modelling of nitrogen fluxes: data fusion for a Swedish meso-scale catchment
J.-F. Exbrayat
Institute for Landscape Ecology and Resources Management, Justus-Liebig-University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
N. R. Viney
CSIRO Land and Water, Canberra, Australia
J. Seibert
University of Zurich, Zurich, Switzerland and Stockholm University, Stockholm, Sweden
S. Wrede
Delft University of Technology, Delft, The Netherlands and Centre de Recherche Public – Gabriel Lippmann, Belvaux, Luxembourg
H.-G. Frede
Institute for Landscape Ecology and Resources Management, Justus-Liebig-University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
L. Breuer
Institute for Landscape Ecology and Resources Management, Justus-Liebig-University Giessen, Heinrich-Buff-Ring 26, 35392 Giessen, Germany
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Cited
24 citations as recorded by crossref.
- Quantification of agricultural best management practices impacts on sediment and phosphorous export in a small catchment in southeastern Sweden B. Oduor et al. 10.1016/j.agwat.2023.108595
- Using multi-model averaging to improve the reliability of catchment scale nitrogen predictions J. Exbrayat et al. 10.5194/gmd-6-117-2013
- Multi-model data fusion as a tool for PUB: example in a Swedish mesoscale catchment J. Exbrayat et al. 10.5194/adgeo-29-43-2011
- Addressing sources of uncertainty in runoff projections for a data scarce catchment in the Ecuadorian Andes J. Exbrayat et al. 10.1007/s10584-014-1160-x
- Optimal reliability ensemble averaging approach for robust climate projections over China Y. Gao et al. 10.1002/joc.8485
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- Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall–runoff models J. Ledesma & M. Futter 10.1002/hyp.11269
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- Regional catchment classification with respect to low flow risk in a Pleistocene landscape B. Thomas et al. 10.1016/j.jhydrol.2012.10.020
- Quantifying model uncertainty using Bayesian multi-model ensembles M. Wagena et al. 10.1016/j.envsoft.2019.03.013
- Finding options to improve catchment water quality—Lessons learned from historical land use situations in a Mediterranean catchment in Slovenia M. Glavan et al. 10.1016/j.ecolmodel.2013.04.004
- Long-term dynamics of dissolved organic carbon: Implications for drinking water supply J. Ledesma et al. 10.1016/j.scitotenv.2012.05.071
- Probabilistic multi-model ensemble predictions of nitrogen concentrations in river systems J. Exbrayat et al. 10.1029/2011GL047522
- Model intercomparison to explore catchment functioning: Results from a remote montane tropical rainforest I. Plesca et al. 10.1016/j.ecolmodel.2011.05.005
- Quantifying the impact of climate change on enteric waterborne pathogen concentrations in surface water N. Hofstra 10.1016/j.cosust.2011.10.006
- Development of multi-model ensemble approach for enhanced assessment of impacts of climate change on climate extremes G. Tegegne et al. 10.1016/j.scitotenv.2019.135357
- Evaluating the accuracy of two in situ optical sensors to estimate DOC concentrations for drinking water production S. Hoffmeister et al. 10.1039/D0EW00150C
- Multimodel ensemble projection of precipitation over South Korea using the reliability ensemble averaging G. Tegegne & A. Mellesse 10.1007/s00704-022-04350-8
- An overview of methods to evaluate uncertainty of deterministic models in decision support L. Uusitalo et al. 10.1016/j.envsoft.2014.09.017
- Measures to sustain seasonal minimum runoff in small catchments in the mid-latitudes: A review B. Thomas et al. 10.1016/j.jhydrol.2011.07.045
- A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the central USA S. Zeiger & J. Hubbart 10.1016/j.scitotenv.2016.07.178
- Spatiotemporal Reliability Ensemble Averaging of Multimodel Simulations G. Tegegne et al. 10.1029/2019GL083053
- Toward a framework for the multimodel ensemble prediction of soil nitrogen losses K. Liao et al. 10.1016/j.ecolmodel.2021.109675
- Using multiple watershed models to assess the water quality impacts of alternate land development scenarios for a small community A. Sharifi et al. 10.1016/j.catena.2016.11.009
23 citations as recorded by crossref.
- Quantification of agricultural best management practices impacts on sediment and phosphorous export in a small catchment in southeastern Sweden B. Oduor et al. 10.1016/j.agwat.2023.108595
- Using multi-model averaging to improve the reliability of catchment scale nitrogen predictions J. Exbrayat et al. 10.5194/gmd-6-117-2013
- Multi-model data fusion as a tool for PUB: example in a Swedish mesoscale catchment J. Exbrayat et al. 10.5194/adgeo-29-43-2011
- Addressing sources of uncertainty in runoff projections for a data scarce catchment in the Ecuadorian Andes J. Exbrayat et al. 10.1007/s10584-014-1160-x
- Optimal reliability ensemble averaging approach for robust climate projections over China Y. Gao et al. 10.1002/joc.8485
- Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties J. Exbrayat et al. 10.5194/esd-9-153-2018
- Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall–runoff models J. Ledesma & M. Futter 10.1002/hyp.11269
- Climate Change Impact on Riverine Nutrient Load and Land-Based Remedial Measures of the Baltic Sea Action Plan B. Arheimer et al. 10.1007/s13280-012-0323-0
- Regional catchment classification with respect to low flow risk in a Pleistocene landscape B. Thomas et al. 10.1016/j.jhydrol.2012.10.020
- Quantifying model uncertainty using Bayesian multi-model ensembles M. Wagena et al. 10.1016/j.envsoft.2019.03.013
- Finding options to improve catchment water quality—Lessons learned from historical land use situations in a Mediterranean catchment in Slovenia M. Glavan et al. 10.1016/j.ecolmodel.2013.04.004
- Long-term dynamics of dissolved organic carbon: Implications for drinking water supply J. Ledesma et al. 10.1016/j.scitotenv.2012.05.071
- Probabilistic multi-model ensemble predictions of nitrogen concentrations in river systems J. Exbrayat et al. 10.1029/2011GL047522
- Model intercomparison to explore catchment functioning: Results from a remote montane tropical rainforest I. Plesca et al. 10.1016/j.ecolmodel.2011.05.005
- Quantifying the impact of climate change on enteric waterborne pathogen concentrations in surface water N. Hofstra 10.1016/j.cosust.2011.10.006
- Development of multi-model ensemble approach for enhanced assessment of impacts of climate change on climate extremes G. Tegegne et al. 10.1016/j.scitotenv.2019.135357
- Evaluating the accuracy of two in situ optical sensors to estimate DOC concentrations for drinking water production S. Hoffmeister et al. 10.1039/D0EW00150C
- Multimodel ensemble projection of precipitation over South Korea using the reliability ensemble averaging G. Tegegne & A. Mellesse 10.1007/s00704-022-04350-8
- An overview of methods to evaluate uncertainty of deterministic models in decision support L. Uusitalo et al. 10.1016/j.envsoft.2014.09.017
- Measures to sustain seasonal minimum runoff in small catchments in the mid-latitudes: A review B. Thomas et al. 10.1016/j.jhydrol.2011.07.045
- A SWAT model validation of nested-scale contemporaneous stream flow, suspended sediment and nutrients from a multiple-land-use watershed of the central USA S. Zeiger & J. Hubbart 10.1016/j.scitotenv.2016.07.178
- Spatiotemporal Reliability Ensemble Averaging of Multimodel Simulations G. Tegegne et al. 10.1029/2019GL083053
- Toward a framework for the multimodel ensemble prediction of soil nitrogen losses K. Liao et al. 10.1016/j.ecolmodel.2021.109675
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