遇见数据集

Jupyter Notebook and comprising data for GRL2023GL106264R: Understanding the Cascade: Removing GCM biases improves dynamically downscaled climate projections

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Mendeley Data2024-05-10 更新2024-06-30 收录
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This notebook and attendant files allows users to interface with a small subset of the data used to create the data in GRL2023GL106264R. Also feel free to check out the overall description of the non-bias corrected dynamically downscaled GCMs in WUS-D3 here: https://zenodo.org/records/10635867. This DOI also contains version of WRF 4.1.3 allowing for yearly CH4, CO2, and N2O updates, as well as a 360-day calendar version.

本Jupyter笔记本及配套文件可支持用户交互访问用于生成GRL2023GL106264R数据集的部分数据子集。此外,您可前往以下链接查看WUS-D3中未经过偏差校正的动力降尺度全球气候模式(Global Climate Model,GCM)的总体描述:https://zenodo.org/records/10635867。该数字对象标识符(Digital Object Identifier,DOI)对应的资源还包含WRF(Weather Research and Forecasting)4.1.3版本,支持每年更新甲烷(CH₄)、二氧化碳(CO₂)与一氧化二氮(N₂O),同时提供360天历法版本。

创建时间:
2024-03-27
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