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Gustafsson, David
Publications (10 of 15) Show all publications
Helmert, J., Lange, M., Dong, J., De Rosnay, P., Gustafsson, D., Churulin, E., . . . Milelli, M. (2018). 1st Snow Data Assimilation Workshop in the framework of COST HarmoSnow ESSEM 1404. Meteorologische Zeitschrift, 27(4), 325-333
Open this publication in new window or tab >>1st Snow Data Assimilation Workshop in the framework of COST HarmoSnow ESSEM 1404
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2018 (English)In: Meteorologische Zeitschrift, ISSN 0941-2948, E-ISSN 1610-1227, Vol. 27, no 4, p. 325-333Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5024 (URN)10.1127/metz/2018/0906 (DOI)000451577500005 ()
Available from: 2018-12-19 Created: 2018-12-19 Last updated: 2018-12-19Bibliographically approved
Nijzink, R., Almeida, S., Pechlivanidis, I., Capell, R., Gustafsson, D., Arheimer, B., . . . Hrachowitz, M. (2018). Constraining Conceptual Hydrological ModelsWith Multiple Information Sources. Water resources research, 54(10), 8332-8362
Open this publication in new window or tab >>Constraining Conceptual Hydrological ModelsWith Multiple Information Sources
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2018 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 54, no 10, p. 8332-8362Article in journal (Refereed) Published
Abstract [en]

The calibration of hydrological models without streamflow observations is problematic, and the simultaneous, combined use of remotely sensed products for this purpose has not been exhaustively tested thus far. Our hypothesis is that the combined use of products can (1) reduce the parameter search space and (2) improve the representation of internal model dynamics and hydrological signatures. Five different conceptual hydrological models were applied to 27 catchments across Europe. A parameter selection process, similar to a likelihood weighting procedure, was applied for 1,023 possible combinations of 10 different data sources, ranging from using 1 to all 10 of these products. Distances between the two empirical distributions of model performance metrics with and without using a specific product were determined to assess the added value of a specific product. In a similar way, the performance of the models to reproduce 27 hydrological signatures was evaluated relative to the unconstrained model. Significant reductions in the parameter space were obtained when combinations included Advanced Microwave Scanning Radiometer ‐ Earth Observing System and Advanced Scatterometer soil moisture, Gravity Recovery and Climate Experiment total water storage anomalies, and, in snow‐dominated catchments, the Moderate Resolution Imaging Spectroradiometer snow cover products. The evaporation products of Land Surface Analysis ‐ Satellite Application Facility and MOD16 were less effective for deriving meaningful, well‐constrained posterior parameter distributions. The hydrological signature analysis indicated that most models profited from constraining with an increasing number of data sources. Concluding, constraining models with multiple data sources simultaneously was shown to be valuable for at least four of the five hydrological models to determine model parameters in absence of streamflow.

Place, publisher, year, edition, pages
John Wiley & Sons, 2018
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-5011 (URN)10.1029/2017WR021895 (DOI)
Available from: 2018-11-26 Created: 2018-11-26 Last updated: 2018-11-26Bibliographically approved
MacDonald, M. K., Stadnyk, T. A., Dery, S. J., Braun, M., Gustafsson, D., Isberg, K. & Arheimer, B. (2018). Impacts of 1.5 and 2.0 degrees C Warming on Pan-Arctic River Discharge Into the Hudson Bay Complex Through 2070. Geophysical Research Letters, 45(15), 7561-7570
Open this publication in new window or tab >>Impacts of 1.5 and 2.0 degrees C Warming on Pan-Arctic River Discharge Into the Hudson Bay Complex Through 2070
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2018 (English)In: Geophysical Research Letters, ISSN 0094-8276, E-ISSN 1944-8007, Vol. 45, no 15, p. 7561-7570Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4967 (URN)10.1029/2018GL079147 (DOI)000443129500037 ()
Available from: 2018-09-19 Created: 2018-09-19 Last updated: 2018-09-19Bibliographically approved
Berg, P., Donnelly, C. & Gustafsson, D. (2018). Near-real-time adjusted reanalysis forcing data for hydrology. Hydrology and Earth System Sciences, 22(2), 989-1000
Open this publication in new window or tab >>Near-real-time adjusted reanalysis forcing data for hydrology
2018 (English)In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 22, no 2, p. 989-1000Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4516 (URN)10.5194/hess-22-989-2018 (DOI)000424394800001 ()
Available from: 2018-02-27 Created: 2018-02-27 Last updated: 2018-02-27Bibliographically approved
Vesakoski, J.-M., Nylen, T., Arheimer, B., Gustafsson, D., Isberg, K., Holopainen, M., . . . Alho, P. (2017). Arctic Mackenzie Delta channel planform evolution during 1983-2013 utilising Landsat data and hydrological time series. Hydrological Processes, 31(22), 3979-3995
Open this publication in new window or tab >>Arctic Mackenzie Delta channel planform evolution during 1983-2013 utilising Landsat data and hydrological time series
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2017 (English)In: Hydrological Processes, ISSN 0885-6087, E-ISSN 1099-1085, Vol. 31, no 22, p. 3979-3995Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4305 (URN)10.1002/hyp.11315 (DOI)000413374400017 ()
Available from: 2017-11-13 Created: 2017-11-13 Last updated: 2018-01-13Bibliographically approved
Andersson, J., Arheimer, B., Traore, F., Gustafsson, D. & Ali, A. (2017). Process refinements improve a hydrological model concept applied to the Niger River basin. Hydrological Processes, 31(25), 4540-4554
Open this publication in new window or tab >>Process refinements improve a hydrological model concept applied to the Niger River basin
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2017 (English)In: Hydrological Processes, ISSN 0885-6087, E-ISSN 1099-1085, Vol. 31, no 25, p. 4540-4554Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4458 (URN)10.1002/hyp.11376 (DOI)000418406900007 ()
Available from: 2018-01-09 Created: 2018-01-09 Last updated: 2018-01-13Bibliographically approved
Andersson, J., Ali, A., Arheimer, B., Gustafsson, D. & Minoungou, B. (2017). Providing peak river flow statistics and forecasting in the Niger River basin. Physics and Chemistry of the Earth, 100, 3-12
Open this publication in new window or tab >>Providing peak river flow statistics and forecasting in the Niger River basin
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2017 (English)In: Physics and Chemistry of the Earth, ISSN 1474-7065, E-ISSN 1873-5193, Vol. 100, p. 3-12Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4331 (URN)10.1016/j.pce.2017.02.010 (DOI)000412251700002 ()
Available from: 2017-11-10 Created: 2017-11-10 Last updated: 2018-01-13Bibliographically approved
Gelfan, A., Gustafsson, D., Motovilov, Y., Arheimer, B., Kalugin,, A., Krylenko,, I. & Lavrenov, A. (2016). Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues. Climatic Change, 1-17
Open this publication in new window or tab >>Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues
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2016 (English)In: Climatic Change, ISSN 0165-0009, E-ISSN 1573-1480, p. 1-17Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-3927 (URN)
Available from: 2017-02-22 Created: 2017-02-22 Last updated: 2018-01-13Bibliographically approved
Zhang, L. & Gustafsson, D. (2016). Editorial: 'The Nordic Hydrology Model' - Linking science and practice. HYDROLOGY RESEARCH, 47(4), 671-671
Open this publication in new window or tab >>Editorial: 'The Nordic Hydrology Model' - Linking science and practice
2016 (English)In: HYDROLOGY RESEARCH, ISSN 1998-9563, Vol. 47, no 4, p. 671-671Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-3136 (URN)10.2166/nh.2016.002 (DOI)000381718100001 ()
External cooperation:
Available from: 2016-09-14 Created: 2016-09-14 Last updated: 2018-01-10Bibliographically approved
Andersson, J., Pechlivanidis, I., Gustafsson, D., Donnelly, C. & Arheimer, B. (2015). Key factors for improving large-scale hydrological model performance. European Water, 49, 77-88
Open this publication in new window or tab >>Key factors for improving large-scale hydrological model performance
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2015 (English)In: European Water, ISSN 1792-085X, Vol. 49, p. 77-88Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Athen: E.W. Publications, 2015
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-3813 (URN)
Available from: 2016-12-29 Created: 2016-12-29 Last updated: 2018-01-13Bibliographically approved
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