Published April 4, 2024 | Version v1

Datasets generated in the ConvAE-RF modelling of grain yield in the mid-lower Yangtze plains

Authors/Creators

Description

formatted_grid.zip is the preprocessed input meteorological dataset to a ConvAE-RF model proposed by the author.

final_output.zip is 2016-2100 output yield projections from ScenarioMIP experiments SSP126, SSP245, SSP370 and SSP585 of 25 AMES NEX GDDP CMIP6 GCMs downscaled by Thrasher et al., 2022.

coldwave_order.csv contains 4 lists of 25 AMES NEX GDDP CMIP6 GCMs (one for each ScenarioMIP experiment) ranked according to mean coldwave frequency predicted in a unit area (0.25° * 0.25°) in the mid-lower Yangtze plain provinces.

heatwave_order.csv contains 4 lists of 25 AMES NEX GDDP CMIP6 GCMs (one for each ScenarioMIP experiment) ranked according to mean heatwave frequency predicted in a unit area (0.25° * 0.25°) in the mid-lower Yangtze plain provinces.

tmax_thr90.nc is 2d and records the threshold daily maximum temperature for each point on the spatial grid above which a day would be qualified as a heatwave candidate.

tmax_thr90.nc is 2d and records the threshold daily minimum temperature for each point on the spatial grid below which a day would be qualified as a coldwave candidate.

Please reference the README in this GitHub Repository for data usage.

 

Files

coldwave_order.csv

Files (1.6 GB)

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md5:bedac6519a7559d493cf4884c2c5a1d6
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md5:9b83c9e54c75ecfce6f9c5d5e9ea5aa9
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md5:589a315e435b3768e69a0ffb91a9a9c3
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md5:896f992127b47e28b1bfa0de42013784
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Additional details

Related works

Continues
Preprint: 10.31220/agriRxiv.2024.00227 (DOI)
Has part
Dataset: 10.5281/zenodo.8347413 (DOI)

Software

Repository URL
https://github.com/zjmagou/MLYPGrain2024
Programming language
Python , Jupyter Notebook
Development Status
Active