Börker, Janine; Hartmann, Jens; Amann, Thorben; Romero-Mujalli, Gibran; Moosdorf, Nils; Jenkins, Chris (2020): Chemical river data from drained loess areas [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.915784, In: Börker, J et al. (2020): Chemical weathering of loess - GIS data, alkalinity measurements of a loess column experiment in the laboratory under pCO2 atmospheric and saturated conditions and chemical river data from drained loess areas [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.915793
Always quote citation above when using data! You can download the citation in several formats below.
Supplement to:
Börker, Janine; Hartmann, Jens; Amann, Thorben; Romero-Mujalli, Gibran; Moosdorf, Nils; Jenkins, Chris (accepted): Chemical weathering of loess and its contribution to global alkalinity fluxes to the coastal zone during the Last Glacial Maximum, Mid-Holocene and Present. Geochemistry, Geophysics, Geosystems
Source:
Börker, Janine; Hartmann, Jens; Amann, Thorben; Romero-Mujalli, Gibran (2018): Terrestrial Sediments of the Earth: Development of a Global Unconsolidated Sediments Map Database (GUM). Geochemistry, Geophysics, Geosystems, 19(4), 997-1024, https://doi.org/10.1002/2017GC007273
Fekete, Balázs M; Vörösmarty, Charles J; Grabs, W (2002): High-resolution fields of global runoff combining observed river discharge and simulated water balances. Global Biogeochemical Cycles, 16(3), 15-1-15-10, https://doi.org/10.1029/1999GB001254
Hartmann, Jens; Lauerwald, Ronny; Moosdorf, Nils (2014): A Brief Overview of the GLObal RIver Chemistry Database, GLORICH. Procedia Earth and Planetary Science, 10, 23-27, https://doi.org/10.1016/j.proeps.2014.08.005
Hartmann, Jens; Lauerwald, Ronny; Moosdorf, Nils (2019): GLORICH - Global river chemistry database. PANGAEA, https://doi.org/10.1594/PANGAEA.902360
Hartmann, Jens; Moosdorf, Nils (2012): The new global lithological map database GLiM: A representation of rock properties at the Earth surface. Geochemistry, Geophysics, Geosystems, 13, Q12004, https://doi.org/10.1029/2012GC004370
Hijmans, Robert J; Cameron, Susan E; Parra, J L; Jones, Peter G; Jarvis, A (2005): Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25(15), 1965-1978, https://doi.org/10.1002/joc.1276
Ran, Lishan; Li, Lingyu; Tian, Mingyang; Yang, Xiankun; Yu, Ruihong; Zhao, Ji; Wang, Lixin; Lu, Xi Xi (2017): Riverine CO2 emissions in the Wuding River catchment on the Loess Plateau: Environmental controls and dam impoundment impact. Journal of Geophysical Research: Biogeosciences, 122(6), 1439-1455, https://doi.org/10.1002/2016JG003713
Ran, Lishan; Lu, Xi Xi; Liu, Shaoda (2017): Dynamics of riverine CO2 in the Yangtze River fluvial network and their implications for carbon evasion. Biogeosciences, 14(8), 2183-2198, https://doi.org/10.5194/bg-14-2183-2017
Ran, Lishan; Lu, Xi Xi; Richey, J E; Sun, H; Han, J; Yu, R; S, Liao; Yi, Q (2015): Long-term spatial and temporal variation of CO2 partial pressure in the Yellow River, China. Biogeosciences, 12(4), 921-932, https://doi.org/10.5194/bg-12-921-2015
Xiao, Jun; Zhang, Fei; Jin, Zhangdong (2016): Spatial characteristics and controlling factors of chemical weathering of loess in the dry season in the middle Loess Plateau, China. Hydrological Processes, 30(25), 4855-4869, https://doi.org/10.1002/hyp.10959
Zhang, Fei; Jin, Zhangdong; Li, Fengjiang; Yu, Jimin; You, Chen-Feng; Zhou, L (2013): The dominance of loess weathering on water and sediment chemistry within the Daihai Lake catchment, northeastern Chinese Loess Plateau. Applied Geochemistry, 35, 51-63, https://doi.org/10.1016/j.apgeochem.2013.05.013
Project(s):
Paleo Modelling (PalMod)
Coverage:
Median Latitude: 41.783144 * Median Longitude: -24.276437 * South-bound Latitude: -46.389340 * West-bound Longitude: -162.860086 * North-bound Latitude: 71.110000 * East-bound Longitude: 176.927170
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
69655 data points
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