Identification

Title

Single-point CLM simulations at Niwot Ridge, CO with anomaly forcing

Abstract

In this study, we ran ecosystem-scale Community Land Model (CLM) simulations using the hillslope hydrology configuration to represent topographically heterogeneous alpine tundra vegetation across a moisture gradient at Niwot Ridge, Colorado, USA. We evaluate our simulations using local site observations and quantify the contributions of plant functional trait uncertainty and scenario uncertainty to carbon cycle outcomes from 2022-2100. This dataset contains output files from single-point CLM simulations for the manuscript titled 'Plant functional trait uncertainty outweighs climate change uncertainty in tundra ecosystems'. Local observations from Niwot Ridge, CO were used to force and evaluate these simulations to represent alpine tundra vegetation by creating separate plant functional types for moist, wet, and dry meadow communities. Our control simulations were modified to represent a site at Niwot Ridge referred to as the 'Saddle', with an east and west facing knoll and a lowland area between them. Three columns represent distinct moist, wet, and dry meadow vegetation communities. We then modified sets of parameters (specific leaf area, leaf C:N, and d13C) for each community to represent more resource use acquisitive or conservative growth strategies that could occur with warming temperatures. Transient simulations were run using input data from 2008-2021 (historical) and then extended to year 2100 (future) using an anomaly forcing protocol with SSP2-4.5 and SSP3-7.0. We ran six experiments: two SSP scenarios x three trait experiments (control, resource acquisitive, and resource conservative).

Resource type

dataset

Resource locator

https://gdex.ucar.edu/dataset/id/32cacd6b-22fc-47a9-8acd-6b22fc57a95a.html

protocol: https

applicationProfile: browser

name: Single-point CLM simulations at Niwot Ridge, CO with anomaly forcing

description: Metadata 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

Keywords

Keyword set

keyword value

Dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

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

2025-01-14

date type

modified

effective date

2025-01-09

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

Gzip Compressed Archive (application/gzip)

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 - Climate and Global Dynamics Laboratory

email address

jayka@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

UCAR/NCAR - GDEX

email address

gdex@ucar.edu

responsible party role

pointOfContact

Metadata date

2025-01-14T12:16:59-07:00

Metadata language