Identification

Title

GPEP CONUS 0.02 degree multi-decadal ensemble daily precipitation and temperature dataset

Alternative title(s)

d953316

Abstract

<p> Precipitation and temperature datasets are essential for diverse applications, yet existing high-resolution products often lack robust uncertainty quantification and transparent, reproducible station processing. This dataset resource contains a daily multi-decadal 0.02 ensemble of gridded surface precipitation and temperature for the Contiguous United States (CONUS). It currently spans 1950-2023 (74 years) and includes 10 ensemble members and statistics based on a larger 30-member ensemble. Links to software to generate additional ensemble members are provided in the documentation. The dataset was created using a framework combining meteorological station record reconstruction and spatial probabilistic estimation. The resulting serially-complete station record archive merges high-density observing networks (GHCN-D and MADIS) using a comprehensive set of gap-filling and reconstruction techniques -- quantile mapping, interpolation, machine learning, and multi-source merging -- yielding 25,887 precipitation and 20,998 temperature stations. Gridded Ensemble fields for daily precipitation total, mean temperature (Tmean), and daily temperature range (Trange) are generated using a probabilistic geospatial estimation approach that characterizes spatial variable uncertainty via cross-validation. This open-access ensemble -- together with its station archive and gridded deterministic and probabilistic components -- provides a critical resource for high-resolution hydrologic and climate research across CONUS. </p>

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d953316/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d953316/dataaccess/

protocol: https

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

2021-03-30

Keyword set

keyword value

NOT APPLICABLE > NOT APPLICABLE

originating controlled vocabulary

title

reference date

date type

revision

effective date

2026-01-27

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE

EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE > SURFACE PRECIPITATION

originating controlled vocabulary

title

reference date

date type

revision

effective date

2026-01-27

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

1950-01-01T000000+00

End position

2023-12-31T000000+00

Dataset reference date

date type

publication

effective date

2025-12-23

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

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NSF NCAR Geoscience Data Exchange

email address

datahelp@ucar.edu

web address

https://gdex.ucar.edu

name: NSF NCAR Geoscience Data Exchange

description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.

function: download

responsible party role

pointOfContact

Metadata date

2026-02-04T20:05:53Z

Metadata language