Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration

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Abstract

Reliable projection of evapotranspiration (ET) is important for planning sustainable water management for the agriculture field in the context of climate change. A global dataset of monthly climate variables was generated to estimate potential ET (PET) using 14 General Circulation Models (GCMs) for four main shared socioeconomic pathways (SSPs). The generated dataset has a spatial resolution of 0.5° × 0.5° and a period ranging from 1950 to 2100 and can estimate historical and future PET using the Penman-Monteith method. Furthermore, this dataset can be applied to various PET estimation methods based on climate variables. This paper presents that the dataset generated to estimate future PET could reflect the greenhouse gas concentration level of the SSP scenarios in latitude bands. Therefore, this dataset can provide vital information for users to select appropriate GCMs for estimating reasonable PETs and help determine bias correction methods to reduce between observation and model based on the scale of climate variables in each GCM.

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The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

Gerald Meehl, Jean-Francois Lamarque, Elmar Kriegler … (2016)

Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scenarios of future emissions and land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design, and its relation to other activities within CMIP6. The ScenarioMIP design is one component of a larger scenario process that aims to facilitate a wide range of integrated studies across the climate science, integrated assessment modeling, and impacts, adaptation, and vulnerability communities, and will form an important part of the evidence base in the forthcoming Intergovernmental Panel on Climate Change (IPCC) assessments. At the same time, it will provide the basis for investigating a number of targeted science and policy questions that are especially relevant to scenario-based analysis, including the role of specific forcings such as land use and aerosols, the effect of a peak and decline in forcing, the consequences of scenarios that limit warming to below 2 °C, the relative contributions to uncertainty from scenarios, climate models, and internal variability, and long-term climate system outcomes beyond the 21st century. To serve this wide range of scientific communities and address these questions, a design has been identified consisting of eight alternative 21st century scenarios plus one large initial condition ensemble and a set of long-term extensions, divided into two tiers defined by relative priority. Some of these scenarios will also provide a basis for variants planned to be run in other CMIP6-Endorsed MIPs to investigate questions related to specific forcings. Harmonized, spatially explicit emissions and land use scenarios generated with integrated assessment models will be provided to participating climate modeling groups by late 2016, with the climate model simulations run within the 2017–2018 time frame, and output from the climate model projections made available and analyses performed over the 2018–2020 period.

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Locked into Copenhagen pledges — Implications of short-term emission targets for the cost and feasibility of long-term climate goals

Keywan Riahi, Elmar Kriegler, Nils P Johnson … (2015)

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Analysis of the Arctic System for Freshwater Cycle Intensification: Observations and Expectations

Michael A. Rawlins, Michael R Steele, Marika M. Holland … (2010)

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Author and article information

Contributors

Eun-Sung Chung:

ORCID: http://orcid.org/0000-0002-4329-1800

eschung@seoultech.ac.kr

Journal

Journal ID (nlm-ta): Sci Data

Journal ID (iso-abbrev): Sci Data

Title: Scientific Data

Publisher: Nature Publishing Group UK (London )

ISSN (Electronic): 2052-4463

Publication date (Electronic): 26 August 2023

Publication date PMC-release: 26 August 2023

Publication date Collection: 2023

Volume: 10

Electronic Location Identifier: 568

Affiliations

[1 ]GRID grid.412485.e, ISNI 0000 0000 9760 4919, Department of Civil Engineering, , Seoul National University of Science and Technology, Nowon-gu, ; 01811 Seoul, South Korea

[2 ]GRID grid.410877.d, ISNI 0000 0001 2296 1505, School of Civil Engineering, , Universiti Teknologi Malaysia (UTM), ; 81310 Skudai, Johor Malaysia

[3 ]GRID grid.15444.30, ISNI 0000 0004 0470 5454, Department of Civil and Environmental Engineering, , Yonsei University, ; 03722 Seoul, South Korea

[4 ]GRID grid.412172.3, ISNI 0000 0004 0532 6974, Department of Civil Engineering, , Hongik University, ; 04066 Seoul, South Korea

Author information

Eun-Sung Chung http://orcid.org/0000-0002-4329-1800

Shamsuddin Shahid http://orcid.org/0000-0001-9621-6452

Yeonjoo Kim http://orcid.org/0000-0003-1622-2209

Article

Publisher ID: 2475

DOI: 10.1038/s41597-023-02475-7

PMC ID: 10460419

SO-VID: d6327201-d848-46ca-8994-f3f859cbc598

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

History

Date received : 27 December 2022

Date accepted : 15 August 2023

Funding

Funded by: FundRef https://doi.org/10.13039/501100003725, National Research Foundation of Korea (NRF);

Award ID: 2021R1A2C2005699

Award Recipient : Eun-Sung Chung

Funded by: FundRef https://doi.org/10.13039/501100007694, Korea Agency for Infrastructure Technology Advancement (KAIA);

Award ID: 22CTAP-C163540-02

Award Recipient : Eun-Sung Chung

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Keywords: hydrology,climate change

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Keywords: hydrology, climate change

Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration

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Climate Change: Open Access

Most cited references 24

The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6

Locked into Copenhagen pledges — Implications of short-term emission targets for the cost and feasibility of long-term climate goals

Analysis of the Arctic System for Freshwater Cycle Intensification: Observations and Expectations

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