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Data Source: Dynamically-downscaled climate projections over China at a resolution of 50 km under RCP4.5 and RCP8.5. RegCM runs driven by CanESM2 and HadGEM2-ES are conducted by Xander Wang, RegCM runs driven by GFDL-ESM2M are conducted by Chen Lu, and PRECIS runs driven by HadGEM2-ES are conducted by Jinxin Zhu, respectively.
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Copyright © 2016 - Beijing Normal University | North China Electric Power University | IEESC, University of Regina.
Please use the latest version of web browsers (Chrome, Firefox, IE, or Safari) to access this data portal.
Developed by Xander Wang.
Contact: ccdp@uregina.ca
About Us

China Climate Change Data Portal (hereinafter, China CCDP) is launched to ensure technical or non-technical end-users (e.g. municipalities, private sector) have easy and intuitive access to the latest climate data over China.

Data Source

The data presented in this portal is derived from the dynamically-downscaled climate projections over China at a resolution of 50 km under RCP4.5 and RCP8.5. RegCM runs driven by CanESM2 and HadGEM2-ES are conducted by Xander Wang, RegCM runs driven by GFDL-ESM2M are conducted by Chen Lu, and PRECIS runs driven by HadGEM2-ES are conducted by Jinxin Zhu, respectively. Other RegCM, PRECIS and WRF runs driven by several GCMs will be released to the data portal shortly.

References

  • Guo et al. (2020). "Evaluating the added values of regional climate modeling over China at different resolutions". Science of the Total Environment. >> Download

  • Sun et al. (2020). "Multi-indicator evaluation for extreme precipitation events in the past 60 years over the Loess Plateau". Water, 12(1), 193. >> Download

  • Zheng et al. (2020). "Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China". Applied Energy, 261, Article 114295. >> Download

  • Guo et al. (2019). "Improved performance of a PRECIS ensemble in simulating near-surface air temperature over China". Climate Dynamics, 52(11), 6691-6704. >> Download

  • Lu et al. (2019). "Projected changes in temperature, precipitation, and their extremes over China through the RegCM". Climate Dynamics, 53(9-10), 5859-5880. >> Download

  • Zhu et al. (2019). "Climate warming will not decrease perceived low-temperature extremes in China". Climate Dynamics, 52(9-10), 5641-5656. >> Download

  • Zhu et al. (2019). "Assessing climate change impacts on human-perceived temperature extremes and underlying uncertainties". Journal of Geophysical Research - Atmospheres, 124(7), 3800-3821. >> Download

  • Sun et al. (2019). "Drought occurring with hot extremes: Changes under future climate change on Loess Plateau, China". Earth's Future, 7(6), 587-604. >> Download

  • Zhu et al. (2018). "High-resolution projections of mean and extreme precipitations over China through PRECIS under RCPs". Climate Dynamics 50(11-12), 4037-4060. >> Download

  • Guo et al. (2018). "Dynamically-downscaled projections of changes in temperature extremes over China". Climate Dynamics, 50(3-4), 1045-1066. >> Download

  • Guo et al. (2018). "Future changes in precipitation extremes over China projected by a regional climate model ensemble". Atmospheric Environment, 188, 142-156. >> Download

  • Guo et al. (2017). "Investigating future precipitation changes over China through a high-resolution regional climate model ensemble". Earth's Future, 5(3), 285-303. >> Download

  • Zhu et al. (2017). "Investigation of changes in extreme temperature and humidity over China through a dynamical downscaling approach". Earth's Future, 5(11), 1136-1155. >> Download

  • Wang, Xiuquan, et al. (2016). "GIS-Based Data Portal for Climate Change Impact Assessment". Bulletin of the American Meteorological Society, 97: 17-18. >> Download

  • Wang, Xiuquan, et al. (2015). "Ensemble projections of regional climatic changes over Ontario, Canada". Journal of Climate, 28: 7327-7346. DOI: http://dx.doi.org/10.1175/JCLI-D-15-0185.1. >> Download

  • Guo, Junhong, et al. (2017). "Investigating future precipitation changes over China through a high‐resolution regional climate model ensemble." Earth's Future. >> Download

  • Guo, Junhong, et al. (2017). "Dynamically-downscaled projections of changes in temperature extremes over China." Climate Dynamics. >> http://dx.doi.org/10.1007/s00382-017-3660-7. >> Download

Citation

When referring to the maps and data sets published on this data portal, the source must be clearly and prominently stated and cited. We recommend to use the citation for appropriate data in the manner below:

Disclaimer

The maps and data sets published on China CCDP are for non-commercial research and educational purposes only. If you are a commercial user, please contact us for further permission. This data portal is developed with care and believed to be reliable, but mechanical or human errors remain a possibility. Any commercial users or development practitioners should use the data sets and preliminary results on this data portal with caution. The IEESC accepts NO responsibility for any inaccuracies or omissions in the data, nor for any loss or damage directly or indirectly caused to any person or body by reason of, or arising out of, any use of this data portal.

FAQs
Is it free for downloading climate data from China CCDP?
Yes, it is.
Why do I need to create an account before downloading climate data?
We are trying our best to make this data portal as useful as possible by clearly knowing who are the major users, what kind of data sets are of most interest, etc. We therefore ask you to create an account before downloading the data provided by China CCDP. This is to help us carry out some helpful statistics and make appropriate improvements to the data portal. NOTE that once you have registered through one branch of CCDP, you will be automatically registered for all other branches and you will have free access to all branches of CCDP.
What is the baseline period?
The baseline period is 1986-2005 which is consistent with the IPCC AR5.
What is the spatial resolution of the data sets?
It is 50 km.
Why do you provide downscaled climate change scenarios only for a few driving models?
Our selection of the driving models (i.e., GCMs) is based on the data availability of each model and our current computing capacity. Downscaling of other models' results is now under way. We will publish them to China CCDP once they are ready.
How many variables are included?
We currently provide four variables, as follows:
  • Mean temperature, unit: °C
  • Maximum temperature, unit: °C
  • Minimum temperature, unit: °C
  • Precipitation, unit: mm/day
How can I download the data file?
For temporally averaged data sets (i.e. annual, seasonal, and monthly), you can download one file including the data of all grid points by clicking on the "Download" button on the main Main Panel.

For daily timeseries data sets, you need to click on a specific grid point and find the download link to its data file in the pop-up window.

How is the data file named?
Generally, the data file will be zipped into a package and named as follows:

      [Variable]_[Period]_[Averaging]_[RCM]_[GCM]_[RCP]_[Lat]_[Lon].zip

For example, the data file for annual mean temperature from 2070 to 2099 from RegCM driven by HadGEM2-ES model (for all grid cells) under RCP4.5 will be zipped into:

      Mean.temperature_2070-2099_Annual_RegCM_HadGEM2-ES_RCP4.5_0_0.zip

How can I obtain hourly time series data to drive impact models?
Currently, China CCDP does not include hourly time series outputs from our RCM runs. If you really want to use them to drive your impact models, please submit a formal proposal including your name, address, affiliation, contacts, research purpose and data requirements, research area (with detailed coordinates) to Xander Wang at: xander.wang@ccdp.network. We will try our best to accommodate your data requirements.
Contact Us

China CCDP is developed and maintained by Xiuquan (Xander) Wang in the School of Climate Change and Adaptation at the University of Prince Edward Island.

For any questions or comments, please contact: ccdp@uregina.ca.

Mailing Address:

        240, 2 Research Drive,
        IEESC, University of Regina
        Regina, Saskatchewan
        S4S 7H9, Canada
        Tel: (306) 337-3298

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By clicking on the above button, you agree to the terms below:
1) The maps and data sets publised in this data portal are for non-commercial purposes. Any commercial users should contact us for further permission.
2) We accepts no responsibility for any inaccuracies or omissions in the data, nor for any loss or damage directly or indirectly caused to any person or body by reason of, or arising out of, any use of this data portal.
3) When your are referring to the maps and data sets published in this data portal, the source must be clearly and prominently stated and citated.