Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-927-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-927-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2021
Research article |
| 24 Feb 2021
| 24 Feb 2021
Using soil water isotopes to infer the influence of contrasting urban green space on ecohydrological partitioning
Lena-Marie Kuhlemann
CORRESPONDING AUTHOR
Department of Ecohydrology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
Department of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany
Doerthe Tetzlaff
Department of Ecohydrology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
Department of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489 Berlin, Germany
Northern Rivers Institute, University of Aberdeen, St. Mary’s Building, Kings College, Old Aberdeen, AB24 3UE, Scotland
Aaron Smith
Department of Ecohydrology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
Birgit Kleinschmit
Institute of Landscape Architecture and Environmental Planning, Technical University Berlin, Straße des 17. Juni 145, 10623 Berlin, Germany
Chris Soulsby
Northern Rivers Institute, University of Aberdeen, St. Mary’s Building, Kings College, Old Aberdeen, AB24 3UE, Scotland
Chair of Water Resources Management and Modeling of Hydrosystems, Technical University Berlin, Gustav-Meyer-Allee 25, 13355 Berlin, Germany
Department of Ecohydrology, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany
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Commercial microwave links (CMLs) can provide rainfall observations with high space–time resolution. Unfortunately, CML rainfall estimates are often biased because we lack detailed information on the processes that attenuate the transmitted microwaves. We suggest removing the bias by continuously adjusting CMLs to cumulative data from rain gauges (RGs), which can be remote from the CMLs. Our approach practically eliminates the bias, which we demonstrate on unique data from several CMLs and RGs.
Erik Gregow, Antti Pessi, Antti Mäkelä, and Elena Saltikoff
Hydrol. Earth Syst. Sci., 21, 267–279, https://doi.org/10.5194/hess-21-267-2017, https://doi.org/10.5194/hess-21-267-2017, 2017
Short summary
Short summary
A new lightning data assimilation method has been implemented and validated within the Finnish Meteorological Institute – Local Analysis and Prediction System. Lightning data do improve the analysis when no radars are available, and even with radar data, lightning data have a positive impact on the results.
We also investigate the usage of different time integration intervals: 1, 6, 12, 24 h and 7 days, where the 1 h integration time length gives the best results.
S. C. Sinang, E. S. Reichwaldt, and A. Ghadouani
Hydrol. Earth Syst. Sci., 19, 2179–2195, https://doi.org/10.5194/hess-19-2179-2015, https://doi.org/10.5194/hess-19-2179-2015, 2015
H. Nouri, S. Beecham, A. M. Hassanli, and G. Ingleton
Hydrol. Earth Syst. Sci., 17, 4339–4347, https://doi.org/10.5194/hess-17-4339-2013, https://doi.org/10.5194/hess-17-4339-2013, 2013
T. Nehls, Y. Nam Rim, and G. Wessolek
Hydrol. Earth Syst. Sci., 15, 1379–1386, https://doi.org/10.5194/hess-15-1379-2011, https://doi.org/10.5194/hess-15-1379-2011, 2011
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Short summary
We studied water partitioning under urban grassland, shrub and trees during a warm and dry growing season in Berlin, Germany. Soil evaporation was highest under grass, but total green water fluxes and turnover time of soil water were greater under trees. Lowest evapotranspiration losses under shrub indicate potential higher drought resilience. Knowledge of water partitioning and requirements of urban green will be essential for better adaptive management of urban water and irrigation strategies.
We studied water partitioning under urban grassland, shrub and trees during a warm and dry...
