CMS: Annual Estimates of Global Riverine Nitrous Oxide Emissions, 1900-2016

Description

This dataset provides modeled estimates of annual nitrous oxide (N2O) emissions at a coarse geographic scale (0.5 x 0.5 degree) for two sets of global rivers and streams covering the period of 1900-2016. Emissions (g N2O-N/yr) are provided for higher-order rivers and streams (>=4th order) and headwater streams (<4th order). The estimates were derived from a water transport model, the Model for Scale Adaptive River Transport (MOSART), coupled with the Dynamic Land Ecosystem Model (DLEM) to link hydrology and ecosystem processes pertaining to N2O flux and transport. Factors driving the model included climate, land use and land cover, and nitrogen inputs (i.e., fertilizer, deposition, manure, and sewage). Nitrogen discharges from streams and rivers to the ocean were calibrated from observations from 50 river basins across the globe.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1791
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/Global_Riverine_N2O_Emissions/
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/Global_Riverine_N2O_Emissions.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1791
33 CMS: Annual Estimates of Global Riverine Nitrous Oxide Emissions, 1900-2016: Global_Riverine_N2O_Emissions.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/Global_Riverine_N2O_Emissions/comp/Global_Riverine_N2O_Emissions.pdf
34 (a,c,e) The riverine N2O emission from headwater streams (lower than fourth stream orders) during the (a) 1900s, (c) 1960s, (e) 2000s. (b,d,f,) The riverine N2O emission from high-order rivers (higher than fourth stream order) during the (b) 1900s, (d) 1960s, (f) 2000s. The right panel shows the latitudinal distribution of riverine N2O emissions. The uncertainty range is the standard deviation (shaded areas). Source: Yao et al., 2020 https://daac.ornl.gov/CMS/guides/Global_Riverine_N2O_Emissions_Fig1.png

Tags

  • ecosystems
  • biosphere
  • agriculture
  • water-quality-water-chemistry
  • terrestrial-hydrosphere
  • agricultural-chemicals
  • earth-science

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