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update the package documentation
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dsheng1026 committed Jan 14, 2025
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21 changes: 14 additions & 7 deletions README.md
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<!-------------------------->
<!-------------------------->

Sheng, D. et al. Omitting labor responses to heat stress underestimates future climate impact on agriculture. (Under review) doi:https://doi.org/10.21203/rs.3.rs-5000229/v1.
Sheng, D. et al. Omitting labor responses to heat stress underestimates future climate impact on agriculture. (Under review). doi: https://doi.org/10.21203/rs.3.rs-5000229/v1.

[Back to Contents](#Contents)

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```
install.packages('devtools')
devtools::install_github('dsheng1026/HELPS')
renv::init()
renv::restore()
devtools::load_all()
```
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- Please explore the package vignette (https://jgcri.github.io/HELPS/articles/HELPS-vignette.html) to use the package.
- Please explore the package [vignette](https://jgcri.github.io/HELPS/articles/HELPS-vignette.html) to use the package.

To run `vignette/HELPS-vignette.Rmd`, users need first download a set of example data into folder `HELPS_Example_Data` by running

```
devtools::load_all()
get_example_data()
```


[Back to Contents](#Contents)

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<!-------------------------->

The `HELPS` package operates on 0.5 degree resolution, bias-corrected outputs from Earth System Models and General Circulation Models participating in the CMIP process. Several options to access such data exist:
- The ISIMIP2b repository (https://data.isimip.org/search/tree/ISIMIP2b/InputData/climate/atmosphere/) contains outputs from CMIP5-era models (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, and MIROC5) for specific scenarios
- The ISIMIP3b repository (https://data.isimip.org/search/tree/ISIMIP3b/InputData/climate/atmosphere/) contains outputs from CMIP6-era models (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKSEM1-0-LL) for specific scenarios
- If a user wishes to explore other CMIP models or bias-correct model data against different observational data than that used by ISIMIP, the BASD python package (https://github.com/JGCRI/basd) is available for ease of use. BASD implements an extension of the bias adjustment and statistical downscaling method used in ISIMIP3b (ISIMIP3BASD, Lange 2021 https://zenodo.org/records/4686991 and https://gmd.copernicus.org/articles/12/3055/2019/). The ISIMIP3BASD code base can also be used directly. For additional information, please see https://www.isimip.org/documents/413/ISIMIP3b_bias_adjustment_fact_sheet_Gnsz7CO.pdf
- If a user wishes to explore novel scenarios not covered by CMIP models or the ISIMIP collection, we suggest a combination of STITCHES emulation (https://github.com/JGCRI/stitches) and BASD bias correction and downscaling.
- The [ISIMIP2b](https://data.isimip.org/search/tree/ISIMIP2b/InputData/climate/atmosphere/) repository contains outputs from CMIP5-era models (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, and MIROC5) for specific scenarios
- The [ISIMIP3b](https://data.isimip.org/search/tree/ISIMIP3b/InputData/climate/atmosphere/) repository contains outputs from CMIP6-era models (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKSEM1-0-LL) for specific scenarios
- If a user wishes to explore other CMIP models or bias-correct model data against different observational data than that used by ISIMIP, the [BASD](https://github.com/JGCRI/basd) python package is available for ease of use. BASD implements an extension of the bias adjustment and statistical downscaling method used in ISIMIP3b (ISIMIP3BASD, [Lange 2021](https://zenodo.org/records/4686991 and https://gmd.copernicus.org/articles/12/3055/2019/)). The ISIMIP3BASD code base can also be used directly. For additional information, please see [here](https://www.isimip.org/documents/413/ISIMIP3b_bias_adjustment_fact_sheet_Gnsz7CO.pdf)
- If a user wishes to explore novel scenarios not covered by CMIP models or the ISIMIP collection, we suggest a combination of [STITCHES](https://github.com/JGCRI/stitches) emulation and BASD bias correction and downscaling.

HELPS has been tested with both ISIMIP data and outputs from BASD.

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