Identification

Title

CLM5.0 TRENDY Simulations used for the 2020 Global Carbon Budget

Alternative title(s)

d583123

Abstract

The data included consist of four simulations completed for Trends in land carbon cycle (TRENDY) simulations for the Global Carbon Project, which follow the land modeling protocol used for the 2020 Global Carbon Budget. The simulations include: - S0, an extension of the spin up with constant forcings and land use; - S1, including transient CO2, N deposition, and population density; - S2, including transient CO2, climate, N deposition, population density, urban, and aerosols; - S3, including all transient forcings from the S2 simulation, as well as transient land use change, which includes shifting cultivation, irrigation, and agricultural N fertilizer Simulations are run from 1700 through 2019 using CRU JRA v2 forcing, CO2, land use change, and N deposition data provided by TRENDY. All files include monthly averaged data for the full time period. The "h0" files are grid cell averages, whereas the "h1" files are 1-dimensional files averaged by plant functional type. A script to grid the "h1" files is available on the CTSM python GitHub website.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d583123/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d583123/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

CLM-LSM > Common Land Model (CLM) Land Surface Model

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-06-17

Keyword set

keyword value

EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > BIOGEOCHEMICAL CYCLES

EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS

originating controlled vocabulary

title

reference date

date type

revision

effective date

2025-06-09

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

1700-01-01

End position

2019-12-31

Dataset reference date

date type

publication

effective date

2025-06-24

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

2025-06-24T18:05:02Z

Metadata language