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  • 1
    Online Resource
    Online Resource
    IPCC-Sonderbericht zu 1,5 Grad - Verbundprojekt: Klima- und Klimafolgenprojektionen bei 1.5°C gegenüber 2°C Erwärmung im Rahmen der HAPPI-Initiative (HAPPY-DE) - Teilprojekt 2: Klimafolgen im Wasser-Sektor : Schlussbericht (2019)
    [Frankfurt am Main] : Johann Wolfgang Goethe-Universität Frankfurt am Main
    Details Availability
    Keywords: Forschungsbericht ; Klimaänderung ; Klima ; Modell
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (9 Seiten, 702,30 KB) , Diagramme
    URL: https://doi.org/10.2314/KXP:1683625293
    DOI: 10.2314/KXP:1683625293
    Language: German
    Note: Förderkennzeichen BMBF 01 LS 1613B , Verbundnummer 01177045 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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    GEOMAR CATALOGUE
    Link to Library Catalog
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  • 2
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    The global water resources and use model WaterGAP v2.2d - Standard model output (2020)
    PANGAEA
    Details
    Publication Date: 2023-04-14
    Description: Assessing global freshwater resources and human water demand is of value for a number of needs but challenging. The global water use and water availability model WaterGAP is in development since 1996 and serves a range of applications and topics as such as Life Cycle Assessments, a better understanding of terrestrial water storage variations (e.g., jointly with satellite observations), water (over)use and consequently depletion of water resources, as well as model evaluation and model development. In the paper connected to this dataset, the newest model version, WaterGAP 2.2d is described by providing the water balance equations, insights to input data used and typical model applications. The most important and requested model outputs (total water storage variations, streamflow and water use) are evaluated against observation data. Standard model output is described and the reader is guided to the location where those data can be downloaded. Caveats of specific output data and an overview of model applications as well as an outlook of future model development lines are presented as well.
    Keywords: File format; File name; File size; GHM; global Hydrological Modelling; hydrology; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 204 data points
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    DATA PANGAEA
  • 3
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    The global water resources and use model WaterGAP v2.2d - Alternative model output driven with gswp3-w5e5 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Assessing global freshwater resources and human water demand is of value for a number of needs but challenging. The global water use and water availability model WaterGAP is in development since 1996 and serves a range of applications and topics as such as Life Cycle Assessments, a better understanding of terrestrial water storage variations (e.g., jointly with satellite observations), water (over)use and consequently depletion of water resources, as well as model evaluation and model development. In the paper connected to this dataset (doi:10.5194/gmd-14-1037-2021), the newest model version, WaterGAP 2.2d is described by providing the water balance equations, insights to input data used and typical model applications. The most important and requested model outputs (total water storage variations, streamflow and water use) are evaluated against observation data. Standard model output, driven by the climate input WFD-WFDEI (for the years 1901-2016) is described. Caveats of specific output data and an overview of model applications as well as an outlook of future model development lines are presented as well. Here, the reader can download model output driven by an alternative climate forcing, the so called GSWP3-W5E5 forcing (available for the years 1901-2019). This climate forcing was created in the ISIMIP context (https://www.isimip.org) and is described in https://www.isimip.org/gettingstarted/input-data-bias-adjustment/details/80/ as Combination of W5E5 v2.0 (Cucchi et al., 2020, doi:10.5194/essd-2020-28 and Lange et al., 2021, doi:10.48364/ISIMIP.342217) for 1979-2019 with GSWP3 v1.09 (Kim, 2017, doi:10.20783/DIAS.501) homogenized to W5E5 for 1901-1978. The homogenization reduces discontinuities at the 1978/1979 transition and was done using the ISIMIP3BASD v2.5.0 bias adjustment method (Lange, 2019, doi:10.5194/gmd-12-3055-2019 and Lange, 2021, doi:10.5281/zenodo.4686991).
    Keywords: File content; File format; GHM; global Hydrological Modelling; Global Water Use; hydrology; ISIMIP; Model output, NetCDF format; Model output, NetCDF format (File Size)
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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    DATA PANGAEA
  • 4
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    A global-scale analysis of water storage dynamics of inland wetlands: Quantifying the impacts of human water use and man-made reservoirs as well as the unavoidable and avoidable impacts of climate change (2021)
    Details
    Publication Date: 2021-10-15
    Description: Wetlands such as bogs, swamps, or freshwater marshes are hotspots of biodiversity. For 5.1 million km2 of inland wetlands, the dynamics of area and water storage, which strongly impact biodiversity and ecosystem services, were simulated using the global hydrological model WaterGAP. For the first time, the impacts of both human water use and man-made reservoirs (WUR) and future climate change (CC) on wetlands around the globe were quantified. WUR impacts are concentrated in arid/semiarid regions, where WUR decreased mean wetland water storage by more than 5% on 8.2% of the mean wetland area during 1986–2005 (Am), with highest decreases in groundwater depletion area. Using output of three climate models, CC impacts on wetlands were quantified, distinguishing unavoidable impacts [i.e., at 2 °C global warming (GW)] from avoidable impacts (difference between 3 °C and 2 °C impacts). Even unavoidable CC impacts are projected to be much larger than WUR impacts, also in arid/semiarid regions. On most wetland area with reliable estimates, avoidable CC impacts are more than twice as large as unavoidable impacts. In case of 2 °C GW, half of Am is estimated to be unaffected by mean storage changes of more than 5%, but only one third in case of 3 °C GW. Temporal variability of water storage will increase for most wetlands. Wetlands in dry regions will be affected the most, particularly by water storage decreases in the dry season. Different from wealthier countries, low-income countries will dominantly suffer from a decrease in wetland water storage due to CC.
    Keywords: 333.7 ; climate change ; water storage ; water use ; wetland ; reservoirs ; global
    Language: English
    Type: map
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    CITATION GEO-LEO
  • 5
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    Report on continental-scale high-resolution modeling of streamflow intermittence (2023)
    Details
    Publication Date: 2023-10-31
    Description: Quantification of the temporally varying streamflow intermittence at continental scales provides an important basis for evaluating biodiversity, ecosystem functions and ecosystem services in rivers as well as water resources for humans. As streamflow intermittence is often more prevalent in small upstream river reaches than in large downstream rivers, quantification needs to be done with a high spatial resolution. Aggregated to five classes (0, 1-2, 3-15, 16-29, 30-31 no-flow days), the number of no-flow days of approximately 1.5 million river reaches in Europe was estimated for each of the 468 months in the period 1981-2019 using a two-step Random Forest modeling approach. The model was developed based on a custom version of the 15 arc-sec HydroSHEDS drainage direction dataset. Data for 18 predictor variables (on hydrology, climate, physiography, geology, and land cover) as well as daily streamflow observed at 1,915 streamflow gauging stations were prepared as input to the RF model. In addition to upstream drainage area and slope, predictors based on time series of streamflow in 15 arc-sec grid cells were found to be most important for the RF model. These time series were generated by downscaling the 0.5 arc-deg runoff of the global hydrological model WaterGAP (downscaled streamflow is also already available for South America). In Europe but not in South America, the performance of downscaled monthly WaterGAP v2.2e streamflow as compared to streamflow observations is, on average, satisfactory also for small drainage basins of less than 10 km2. While 99% and 95% of the observed perennial station-months are predicted correctly for the calibration and validation periods, respectively, the RF approach tends to overestimate intermittence Considering only the intermittent station-months, the frequency of predicting the correct class among the four classes is about 56% and 47% for the calibration and the validation period, respectively. 9% of all reach-months are simulated to be intermittent. The temporal and spatial patterns of simulated intermittence classes are plausible. The simulated intermittence class in each reach-month will be used by the other DRYvER Work Packages to upscale models developed at the Drying River Network scale.
    Description: report
    Keywords: Streamflow ; Random Forest ; Downscaling ; No-flow days ; Streamflow intermittence ; Continental scale
    Language: English
    Type: doc-type:book
    Format: 59
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    CITATION GEO-LEO
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