Identification

Title

CTSM (CLM5) CAMELS Basins Model -- LSE calibration version 1

Alternative title(s)

d010035

Abstract

This dataset contains the first public configuration of the CTSM land model designed for experimentation on CTSM hydrologic processes, including runoff. It contains the model implementation spanning a large-sample collection of 627 watersheds from the CAMELS dataset, also developed at NCAR. This archive contains the input, configuration and output files constructed to introduce a new model parameter estimation approach using AI-based model emulators with sequential optimization to calibrate and regionalize CTSM (and other models) for large-domain (national to global scale) implementation. This data resource (together with the public LSE method repository at NCAR) forms a valuable testbed for hydrologic modeling with CTSM will enable the community to explore and build on the new approach, and provides a benchmark for evaluating future modeling strategies for hydrology. It also contains a large sample (of up to 1000 parameter sets per basin) for assessment of CTSM hydrologic parameter sensitivities. The data are not grids but are mostly time-series of locations that enable the implementation of CTSM over 627 individual watersheds, treated individually as points.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d010035/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d010035/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 > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > DEW POINT TEMPERATURE > DEWPOINT DEPRESSION

EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND/OCEAN/ICE FRACTION

EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT

EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUND WATER FEATURES > WATER TABLE > WATER TABLE DEPTH

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

2008-10-01T00:00:00Z

End position

2014-09-30T23:00:00Z

Dataset reference date

date type

publication

effective date

2025-06-27

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

2025-06-27T17:05:02Z

Metadata language