Version v1

Dataset for "The CMIP6-downscaled CORDEX-Southeast Asia (SEA) ensemble: evaluation and benchmarking for megacities of SEA"

NGUYEN, PHUONG LOAN;Alexander, Lisa;Ngo-Duc, Thanh;Cruz, Faye Abigail;Santisirisomboon, Jerasorn;Juneng, Liew;Permana, Donaldi S.;Chung, Jing Xiang;Dado, Julie Mae;McGregor, John L.;Redmond, Grace;Po, Wai;Tangang, Fredolin;Phan-Van, Tan;Truong, Son C. H.;Thatcher, Marcus;Trinh-Tuan, Long;Ma'rufah, Ummu;Tibay, Jennifer;Di Virgilio, Giovanni;White, Stephen

Description

This archive contains supporting data used in the GMD preprint paper:"The CMIP6-downscaled CORDEX-Southeast Asia (SEA) ensemble: evaluation and benchmarking for megacities of Southeast Asia".This repository provides representative subsets of CMIP6-downscaled CORDEX-Southeast Asia (SEA) simulations and observational datasets used in the analysis and evaluation presented in the manuscript.The archive includes:A representative subset of CMIP6-downscaled CORDEX-SEA simulations available at the time of analysis (updated to September 2024)Representative subsets of observational and reanalysis datasets used for evaluation and benchmarkingSupporting data required to reproduce figures and analysis The original observational and reanalysis datasets used in this study are publicly available from the following sources:APHRODITE version V1101R1 and V1101XR (Yatagai et al., 2012): https://www.chikyu.ac.jp/precip/english/index.htmlSACA&D (Van den Besselaar et al., 2017): https://sacad.bmkg.go.id/CRU TS4.08 (Harris et al., 2020): https://crudata.uea.ac.uk/cru/data/hrg/ERA5 (Hersbach et al., 2020): https://doi.org/10.24381/cds.bd0915c6 (Hersbach et al., 2023)Berkeley Earth Surface Temperature (BEST) (Rohde and Hausfather et al., 2020): https://berkeleyearth.org/data/CHIRPS-v2, REGEN_ALL, and GPCC_FDD_2022 from the FROGs database (Roca et al., 2019): https://frogs.ipsl.fr/

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.9

FAIR Score

81%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Sociology and Political Science

Field

Social Sciences

Domain

Social Sciences

Confidence Score

40%

Source

Scholar Data Model

Normalization Factors

FT

51.92

CTw

1.00

MTw

1.00