2020
DOI: 10.5194/essd-12-501-2020
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A distributed soil moisture, temperature and infiltrometer dataset for permeable pavements and green spaces

Abstract: Abstract. Knowledge of water and energy fluxes is key for urban planning and design. Nevertheless, hydrological data from urban environments are sparse, and, as a result, many processes are still poorly understood and thus inadequately represented within models. We contribute to reducing this shortfall by providing a dataset that includes time series of soil moisture and soil temperature measured underneath 18 different permeable pavements (PPs) and 4 urban green spaces located within the city of Freiburg (Ger… Show more

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Cited by 10 publications
(4 citation statements)
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“…The defined degree of surface sealing refers to the relative proportion of the CPA that is fully paved and impermeable. The specific sealing degree of various surface types within the CPA were obtained from Schaffitel et al (2020). For each surface type, the specific sealing degree was used for calculating weighted averages of total impermeable area of the CPA of each tree per study site (Table 1).…”
Section: Tree Selection and Site Descriptionmentioning
confidence: 99%
“…The defined degree of surface sealing refers to the relative proportion of the CPA that is fully paved and impermeable. The specific sealing degree of various surface types within the CPA were obtained from Schaffitel et al (2020). For each surface type, the specific sealing degree was used for calculating weighted averages of total impermeable area of the CPA of each tree per study site (Table 1).…”
Section: Tree Selection and Site Descriptionmentioning
confidence: 99%
“…Future work could utilize data from local urban street trees to explore how soil management and site selection might alter the predicted relationships among irrigation, climate and productivity. Measurements of infiltration capacity of urban soils that could also inform parameterization of these future modeling studies (Yang and Zhang, 2011;Phillips et al, 2019;Schaffitel et al, 2020).…”
Section: Model Limitations and Next Stepsmentioning
confidence: 99%
“…These provide a fuller, more nuanced approach to understanding hydrological function, by integrating diverse complementary field data on the water cycle beyond simply rainfall and runoff (Hutchins et al, 2017 ). These include hydroclimatic fluxes (Vulova et al, 2023 ), isotopic and water quality characteristics (Kuhlemann et al, 2020 ), soil moisture and groundwater processes (Duethmann et al, 2022 ; Schaffitel et al, 2020 ), and vegetation parameters (Bernard et al, 2022 ; Crampe et al, 2021 ); data which are either empirically derived or remotely sensed at various spatial and temporal scales. Such data can then drive exploratory, multi-calibrated modeling to develop hypotheses of hydrological functions (e.g., Birkel et al, 2014 ; Kuppel et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%