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https://github.com/quishqa/PyChEmiss
Create WRF-Chem emission file from your local emissions disaggregated in space and time.
https://github.com/quishqa/PyChEmiss
emission wrf-chem wrf-domain
Last synced: about 1 month ago
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Create WRF-Chem emission file from your local emissions disaggregated in space and time.
- Host: GitHub
- URL: https://github.com/quishqa/PyChEmiss
- Owner: quishqa
- License: gpl-3.0
- Created: 2020-05-20T20:55:39.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-01-05T17:51:58.000Z (almost 2 years ago)
- Last Synced: 2024-10-29T21:00:11.457Z (about 2 months ago)
- Topics: emission, wrf-chem, wrf-domain
- Language: Python
- Homepage:
- Size: 133 MB
- Stars: 29
- Watchers: 2
- Forks: 15
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- open-sustainable-technology - PyChEmiss - A Python script to create the wrfchemi file from local emissions needed to run WRF-Chem model. (Emissions / Emission Observation and Modeling)
README
# PyChEmiss
`PyChEmiss` is a Python script to create the `wrfchemi` file from surface local emissions needed to run WRF-Chem model. It's based on his older broder [AAS4WRF.ncl](https://github.com/alvv1986/AAS4WRF).
## Installation
You need to install the packages that `PyChEmiss` needs. We recommend to use
[miniconda](https://docs.conda.io/en/latest/miniconda.html).
You can download this repo or clone it by:
```
git clone https://github.com/quishqa/PyChEmiss.git
```
Then add `conda-forge` channel by:
```
conda config --add channels conda-forge
```
To avoid conflicts during the installation, we also recommend create a new environment to run `PyChEmiss`:
```
conda create --name PyChEmiss
conda activate PyChEmiss
```
### Option A
Now you can install `espmy`, `xesmf` and `pyyaml`. By doing this, `xarray`,
`numpy`, and `pandas`will be also installed:
```
conda install esmpy
conda install xesmf
conda install pyyaml
```
It's important to first install `esmpy` to avoid [this issue](https://github.com/JiaweiZhuang/xESMF/issues/47#issuecomment-593322288).
### Option B
Or, you can install the packages located in `requirements.txt` by typing:
```
conda install --yes --file requirements.txt
```
If everything goes well, you are ready to go.
## The input data
To run this script you need the `wrfinput_d0x` and your temporal and spatial disaggregated emissions in **mol/km2/hr** for gasses and in **ug/m2/s** for aerossol species. You can see the needed format by exploring `emissions_3km.txt` file.
To untar the example files:
```
tar -zxvf emissions_3km.tar.gz
tar -zxvf wrfinput_d02.tar.gz
```
## Configuration file: `pychemiss.yml`
This file controls some parameters to run the script. `""` are required only in `sep`.
* `wrfinput_file`: the location of wrfinput_d0x.
* `emission_file`: the location of the local emission file.
* `nx` and `ny`: the number of longitude and latitude points in which local emission were spatially disaggregated.
* `cell_area`: cell area in km2 of input `emission_file`.
* `start_date` and `end_date`: `emissions_3km.txt` temporal availability in `%Y-%m-%d %H:%M` format.
* `header`: If your local emission file has a header.
* `col_names`: Names of emission file column names. **Remember that the three
first columns have to be named "i", "lon", and "lat"**.
* `sep`: Column delimiter in emission file. Use quotes (`""`)
* `method`: we implement `nearest_s2d` methods for emissions regridding
(a conservative method is on the way!).
## Usage
To run the script, type:
```
python src/pychemiss.py pychemiss.yml
```
To check that everything is working properly up to this point, we recommend to visualize the content of the output file, for example, by using `ncview`
```
ncview wrfchemi_d02_2018-06-21_00:00:00
```
### WRF-Chem namelist configuration
To use the `wrfchemi` file in a standard WRF-Chem simulation, set some control parameters in the `namelist.input` file as follows
```
&time_control
io_form_auxinput5 = 2,
auxinput5_inname = 'wrfchemi_d',
auxinput5_interval_m = 60,
frames_per_auxinput5 = 240,
/
&chem
io_style_emissions = 2,
/
```
240 is the number of times (hours) in the `wrfchemi` file.
For 24 hours of emissions data, the preprocessor will automatically build two 12-hour emission files: `wrfchemi_00z_d02` (00 to 11 UTC) and `wrfchemi_12z_d02` (12 to 23 UTC). In this case, set `frame_per_auxinput5` to 12 and `io_style_emissions` to 1.
### Output example
Here there is a comparison between the local emission of CO (with ΔX= 3 Km) and the
output after using `pychemiss.py` for a WRF domain of ΔX = 3 km.
### Expected Runtime
For a WRF domain with 150 x 100 points and for ten days with hourly emissions (nx =30 and ny=27, like the above figure), in a "normal" laptop, it took 30 seconds to run.