The ORNL DAAC recently released the following new Carbon Monitoring System (CMS) dataset by Yao, Y. et al. (2021):
CMS: Annual Estimates of Global Riverine Nitrous Oxide Emissions, 1900-2016
This dataset provides modeled estimates of annual nitrous oxide (N2O) emissions for two sets of global rivers and streams covering the period of 1900-2016 by combing the Model for Scale Adaptive River Transport (MOSART) and the Dynamic Land Ecosystem Model (DLEM).
Hydrology and ecosystem processes such as climate, land use and land cover, nitrogen inputs (i.e., fertilizer, deposition, manure, and sewage) pertaining to N2O flux and transport are linked in this dataset. Emissions are provided for higher-order rivers and streams and headwater streams. Modeled predictions were analyzed for the effects of changes over time in nitrogen inputs from terrestrial processes, climate, and atmospheric CO2 concentrations.
The NASA CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.
Additional data from CMS and other relevant links can be found on the ORNL DAAC's CMS Project Page.
Citation: Yao, Y., and H. Tian. 2021. CMS: Annual Estimates of Global Riverine Nitrous Oxide Emissions, 1900-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1791