Identification

Title

BCD-ME: Bias-Corrected and Downscaled Massive Ensemble

Alternative title(s)

d164444

Abstract

Projections of climate change and climate impacts requires bias-corrected, downscaled output from ensembles of earth system models (ESMs). Potential impacts are uncertain due to modeling differences between ESMs, internal variability stemming from the chaos of the earth system, and differences in the historical reference datasets used to bias-corrected and downscale ESM output. The Bias-Corrected and Downscaled Massive Ensemble (BCD-ME) is a multi-model large ensemble of over 1,400 projections of daily mean and maximum temperature. The BCD-ME samples model and internal uncertainty with up to 86 runs from 12 Large Ensembles (LEs; and single runs from 10 further ESMs) and uncertainty in the reference dataset by using 4 different reanalysis products to bias-correct and downscale output. Output is organized by Global Warming Levels (GWL), accounting for differences between forcing scenarios and ESM climate sensitivities, or by 20-year chunks. The ensemble contains 20-year daily time series for each GWL on a uniform 1-degree grid, bias-corrected using Quantile Delta Mapping, statistics of 20-year time series for each GWL on a uniform 0.25-degree grid, downscaled using Quantile-Preserving Localized Analog Downscaling. The BCD-ME also includes a set of 20-year daily time series of model output run on SSP3-7.0, but organized by model calendar year, for comparison with GWL-based data.

Resource type

dataset

Resource locator

https://gdex.ucar.edu/datasets/d164444/

protocol: https

name: Dataset Description

description: Related Link

function: information

https://gdex.ucar.edu/datasets/d164444/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

Resource Type

reference date

date type

revision

effective date

2021-03-30

Keyword set

keyword value

CLIMATE MODELS > CLIMATE MODELS

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2026-08-19

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > MAXIMUM/MINIMUM TEMPERATURE > 24 HOUR MAXIMUM TEMPERATURE

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2026-08-19

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

1906

End position

2090

Dataset reference date

date type

publication

effective date

2026-08-22

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

2026-08-22T16:08:46Z

Metadata language

eng; USA