subject: Biogeochemistry creator: Qianlai Zhuang, 0000-0002-4536-9851 date: 2020
10.4231/Q3R8-SZ17
Bo Elberling , David Medvigy , Edward J. Dlugokencky , Gustaf Hugelius , Licheng Liu , Lisa R. Welp-Smith , Lori Bruhwiler , Ludovica D'Imperio , Maggie C.Y. Lau , Qianlai Zhuang , Tullis C. Onstott , Youmi Oh
02/04/2020
This publication contains code and data of a biogeochemistry model, XPTEM-XHAM, for paper "Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic" by Oh et al. accepted in Nature Climate Change.
Arctic Region Biogeochemistry EAPS Earth and Atmospheric Sciences Methane Dynamics Model (MDM) Methane Emission Microbial-Based Model soil
10.4231/XK25-7981
06/10/2020
Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.
Atmospheric Chemistry Modeling Biogeochemistry Carbon Monoxide Climate Climate Dynamics EAPS Earth and Atmospheric Sciences
10.4231/3YX4-EY30
01/21/2020
Source code of an ANN model, site level data, input data, output data and visualization results, which are presented in the manuscript "Inventorying Global Wetland Methane Emissions Based on In Situ Data and an Artificial Neural Network...
Artificial Neural Network (ANN) Atmospheric Chemistry Modeling Biogeochemistry Earth and Atmospheric Sciences Interactive Data Language (IDL) Machine Learning Matlab Methane Dynamics Model (MDM) Methane Emission
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