Identification

Title

Ensemble Dressing of North American Land Data Assimilation version 2 (EDN2)

Alternative title(s)

d613000

Abstract

Most datasets of surface meteorology are deterministic, yet many applications using these datasets require or can benefit from uncertainty estimates in meteorological fields. Motivated by this gap, we applied a locally-weighted spatial regression technique with the widely-used North American Land Data Assimilation version 2 (NLDAS-2) dataset values to generate ensemble estimates for daily precipitation, daily mean temperature, and diurnal temperature range. The approach is a form of ensemble dressing. This uncertainty dataset and methods from this work are made publicly available to support research such a data assimilation or model uncertainty studies. The dataset includes a 100-member ensemble for daily precipitation, temperature and diurnal temperature range at 1/8th degree for the NLDAS-2 domain (25 to 53 North, 125 to 67 West), for the time period 1979-2019. It also includes the spatial regression coefficients and other inputs needed to run the Gridded Meteorological Ensemble Tool (GMET) used to generate the ensembles. A limited number of summary statistical analyses of the dataset are also included.

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d613000/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d613000/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 > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT

originating controlled vocabulary

title

reference date

date type

revision

effective date

2024-07-24

Geographic location

West bounding longitude

-134.7272

East bounding longitude

-67.0073

North bounding latitude

51.1409

South bounding latitude

25.0619

Temporal reference

Temporal extent

Begin position

1979-01-01T00:00:00Z

End position

2019-12-31T00:00:00Z

Dataset reference date

date type

publication

effective date

2021-05-19

Frequency of update

irregular

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

2024-08-04T02:11:19Z

Metadata language