NCAR Resarch Data Archive logo

Land cover data for MEGAN model

d312006
| DOI: 10.5065/962A-QF62
 
Abstract:

MEGAN is a modeling system for estimating the net emission of gases and aerosols from terrestrial ecosystems into the atmosphere. Emissions are calculated for about 200 chemical species including biogenic volatile organic compounds (BVOCs) such as isoprene, a-pinene, methanol and acetone as well as some inorganic compounds (e.g., NO and CO). The model is driven by land cover, weather, and atmospheric chemical composition and uses simple mechanistic algorithms to account for the major known processes controlling biogenic emissions. MEGAN is a global model with a base resolution of ~ 1 km. It can run as a stand-alone model for generating emission inventories but has also being incorporated as an on-line component of chemistry/transport and earth system models including the CESM Community Land Model and WRF-Chem. The model was originally developed at NCAR and is described by Guenther et al. 2012 (https://gmd.copernicus.org/articles/5/1471/2012/). This dataset includes global 30 second (~1 km^2) resolution datasets of the three required MEGAN land cover inputs (ecotypes, Growth forms, Leaf Area Index) and some inputs (soil fertilizer, nitrogen and land type) for the optional soil NOx model.

Variables:
Leaf Area Index (lai) Nitrogen
Temporal Frequencies:
Monthly Climatology
Data Types:
Grid
Data Contributors:
UC-IRVINE/PHYSSCI/ESS
Earth System Science, School of Physical Sciences, University of California, Irvine
Publications:
Guenther, A. B., X. Jiang, C. L. Heald, T. Sakulyanontvittaya, T. Duhl, L. K. Emmons, and X. Wang, 2012: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions. Geoscientific Model Development, 5(6), 1471-1492 (DOI: 10.5194/gmd-5-1471-2012).
Total Volume:
23.7 GB
Data Formats:
HDF5/NetCDF4, netCDF
Metadata Record:
Data License:
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.