Total phosphorus transport and river runoff over Europe

doi:10.26050/WDCC/cD_Priver_Eur

Elizalde, Alberto; Hagemann, Stefan

ExperimentDOI
Summary
A set of five simulations for river runoff and total phosphorus transport within the European riverine system, driven by human activity and climate change. These simulations were carried out with the Hydrological Discharge model (Hagemann et al. 2020).

The hindcast simulation utilizes hydrological forcings from HydroPy model (Stake and Hagemann, 2021) driven with the Global Soil Wetness Project Phase 3 (GWSP3; Dirmeyer et al. 2006; Kim 2017) atmospheric dataset, and phosphorus concentrations from the IMAGE-GNM model (Beusen et al. 2015).

The historical simulation, along with three future scenarios, utilize hydrological forcings derived from the global Earth system model GFDL-ESM4 (John et al.2018), and phosphorus concentrations base on a newly developed parameterization. This parametrization incorporates land-use types and fertilizer application data in the form of nitrogen amounts from the Land-Use Harmonization 2 (LUH2; Hurtt et al. 2020).

To account for the effects of human activity and climate change, the simulations employ three integrated scenarios that combine the Shared Socioeconomical Pathways (SSP) narratives and the Representative Concentration Pathways (RCP), specifically SSP1-RCP2.6, SSP3-RCP7.0 and SSP5-RCP8.5.

This research was funded by the Cluster of Excellence "Climate, Climatic Change, and Society" (CLICCS), project No 390683824, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2037. Computational resources were made available by the German Climate Computing Center (DKRZ) through support from the German Federal Ministry of Education and Research (BMBF). We gratefully acknowledge the University of Hamburg for providing the data used in this study as part of the GLOWACHEM project, a component in the CLICCS framework.
Project
coastDat-Land-Ocean-Fluxes (coastDat - Regional Water and Matter Fluxes at the Land-Ocean Interface)
Contact
Dr Alberto Elizalde (
 alberto.elizalde@nullhereon.de
0009-0001-3900-3212)
Spatial Coverage
Longitude -11 to 69 Latitude 27 to 72
Temporal Coverage
1979-01-01 to 2100-12-31 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
445.82 GiB (478699554512 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2034-11-07
Cite as
Elizalde, Alberto; Hagemann, Stefan (2024). Total phosphorus transport and river runoff over Europe. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/cD_Priver_Eur

BibTeX RIS
Funding
German Research Foundation
Grant/Award No: 390683824 - EXC 2037: Climate, Climatic Change, and Society (CLICCS)
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v3.2.0 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Result Date
2024-11-08
Result Date
2024-11-08
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The spatial-temporal coverage description (metadata) is consistent to the data, time steps are correct and the time coordinate is continuous: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2024-11-08
Contact typePersonORCIDOrganization
-

Is related to

[1] DOI Stacke, Tobias; Hagemann, Stefan. (2021). HydroPy and MPI-HM simulation data driven with GSWP3 meteorological forcing. doi:10.26050/WDCC/HydroPy_MPI-HM_hist_sim

Is compiled by

[1] DOI Hagemann, Stefan; Stacke, Tobias; Ho-Hagemann, Ha T. M. (2020). High Resolution Discharge Simulations Over Europe and the Baltic Sea Catchment. doi:10.3389/feart.2020.00012

Is derived from

[1] DOI John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin. (2018). NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP. doi:10.22033/ESGF/CMIP6.1414
[2] DOI H. Kim. (2017). Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment 1). doi:10.20783/DIAS.501
[3] DOI Dirmeyer, Paul A.; Gao, Xiang; Zhao, Mei; Guo, Zhichang; Oki, Taikan; Hanasaki, Naota. (2006). GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface. doi:10.1175/bams-87-10-1381
[4] DOI Beusen, A. H. W.; Van Beek, L. P. H.; Bouwman, A. F.; Mogollón, J. M.; Middelburg, J. J. (2015). Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water – description of IMAGE–GNM and analysis of performance. doi:10.5194/gmd-8-4045-2015
[5] DOI Hurtt, George C.; Chini, Louise; Sahajpal, Ritvik; Frolking, Steve; Bodirsky, Benjamin L.; Calvin, Katherine; Doelman, Jonathan C.; Fisk, Justin; Fujimori, Shinichiro; Goldewijk, Kees Klein; Hasegawa, Tomoko; Havlik, Peter; Heinimann, Andreas; Humpenöder, Florian; Jungclaus, Johan; Kaplan, Jed; Kennedy, Jennifer; Kristzin, Tamas; Lawrence, David; Lawrence, Peter; Ma, Lei; Mertz, Ole; Pongratz, Julia; Popp, Alexander; Poulter, Benjamin; Riahi, Keywan; Shevliakova, Elena; Stehfest, Elke; Thornton, Peter; Tubiello, Francesco N.; van Vuuren, Detlef P.; Zhang, Xin. (2020). Harmonization of Global Land-Use Change and Management for the Period 850–2100 (LUH2) for CMIP6. doi:10.5194/gmd-2019-360

Attached Datasets ( 5 )

Details for selected entry
[Entry acronym: cD_Priver_Eur] [Entry id: 5281541]