Identification

Title

Land cover data for MEGAN model

Alternative title(s)

d312006

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.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d312006/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d312006/dataaccess/

protocol: https

applicationProfile: browser

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

climatologyMeteorologyAtmosphere

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

MODELS > MODELS

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-07-23

Keyword set

keyword value

EARTH SCIENCE > AGRICULTURE > SOILS > NITROGEN

EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION INDEX > LEAF AREA INDEX (LAI)

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-07-24

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2024-01-08

Frequency of update

notPlanned

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

telephone number

(303)-497-1833

facsimile number

303-497-1291

email address

chifan@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NCAR Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

facsimile number

303-497-1291

email address

rdahelp@ucar.edu

web address

https://rda.ucar.edu/

name: NCAR Research Data Archive

description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.

function: downlaod

responsible party role

pointOfContact

Metadata date

2024-08-04T02:11:36Z

Metadata language