10.4231/ANMV-J384
07/25/2019
Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).
Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)
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
10.4231/7YY6-HQ02
Chang Liao , Laodong Guo , Qianlai Zhuang , Ruby Leung
12/02/2019
Arctic ecosystems are very sensitive to the global climate change. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost...
Alaska Arctic Region Biogeochemistry C Carbon Cycle Climate Change Earth and Atmospheric Sciences ECO3D Ecosystem Hydrology LSM Permafrost TEM
10.4231/KZ5W-DC21
Bailu Zhao , Narasinha Shurpali , Qianlai Zhuang , Ye Yuan
05/17/2023
This dataset contains the main codes and data for the N2O emissions quantification from pan-Arctic terrestrial ecosystems on a process-based biogeochemical model.
Arctic Region EAPS N2O emission Permafrost Terrestrial Ecosystem Model (TEM)
10.4231/EHZ2-DP09
Chen Zhang , Wen-wen Tung , William S Cleveland
12/01/2023
This repository contains the 12 sets of Arctic atmospheric river labels based on the 3-hourly ERA5 and MERRA-2 data for 1980–2019 and the high-resolution version of figures in Zhang, Tung, & Cleveland (ERCL 2023, https://doi.org/10.1088/2752-5295/acdf0f).
Arctic Region atmospheric river Climatology Data Science ERA5 MERRA-2 moisture teleconnection
Display #
Results 1 - 5 of 5