Code for Methane Flux Data

• Main Authors: Rößger, Norman, Sachs, Torsten, Wille, Christian, Boike, Julia, Kutzbach, Lars
• Format: Dataset
• Language: unknown
• Published: GFZ Data Services 2022
• Subjects: Arctic; Siberia; permafrost; Methane flux; CH4 flux; greenhouse gas; emission; trend; trend analysis; increase; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > METHANE; EARTH SCIENCE > CLIMATE INDICATORS > PALEOCLIMATE INDICATORS > ICE CORE RECORDS > METHANE; EARTH SCIENCE > LAND SURFACE > SOILS > PERMAFROST; EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > GLACIAL PROCESSES > PERIGLACIAL PROCESSES; Ice; ice core; lena river; Tundra
• Online Access: https://doi.org/10.5880/GFZ.1.4.2022.010

Abstract This repository contains the codes produced for the article "Long-term observations reveal rise in early summer methane emissions from Siberian tundra" by Norman Rößger, Torsten Sachs, Christian Wille, Julia Boike and Lars Kutzbach. In the article, the authors report an increasing trend of methane emissions for June and July at a permafrost site in Siberia (Lena River Delta). Using the longest set of observational methane flux data in the Arctic, the authors demonstrate that the continuous warming has begun to trigger the projected enhancement of methane release in Arctic permafrost ecosystems. This software is written in MATLAB. Running the codes ([.m files](Code)) and loading the data files ([.mat files](Data)) requires the pre-installation of [MATLAB](/https://de.mathworks.com/products/matlab.html). IMPORTANT: The repository only contains dummy data. The data that is needed to run the code can be requested by Torsten Sachs and Christian Wille (contact authors). Although the scripts and the data files have been tested for newer versions of MATLAB (>= MATLAB R2017a). The code might also run in older versions of MATLAB, but this has not been tested.