Land cover data for MEGAN model
d312006
<p>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.</p>
dataset
https://gdex.ucar.edu/datasets/d312006/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d312006/dataaccess/
protocol: https
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
MODELS > MODELS
revision
2025-10-03
EARTH SCIENCE > AGRICULTURE > SOILS > NITROGEN
EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION INDEX > LEAF AREA INDEX (LAI)
revision
2025-10-03
publication
2024-01-08
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
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pointOfContact
2025-10-09T01:28:27Z