DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario Historical - The North-east of the Netherlands (HUAS)

DISTENDER;Foundation for Climate Researh

Description

Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).More details about the domains, the provided variable, levels and periods are provided in the README file.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Zero v1.0 Universal

Assigned Domain

Subfield

Management Science and Operations Research

Field

Decision Sciences

Domain

Social Sciences

Confidence Score

44%

Source

Scholar Data Model

Keywords

DISTENDERClimateDownscalingStatisticalScenarios

Normalization Factors

FT

78.84

CTw

1.00

MTw

1.00