<!--
* @Author: Wenyu Ouyang
* @Date: 2021-12-05 22:13:21
* @LastEditTime: 2024-10-15 14:32:16
* @LastEditors: Wenyu Ouyang
* @Description: README for hydrodataset
* @FilePath: \hydrodataset\README.md
* Copyright (c) 2021-2022 Wenyu Ouyang. All rights reserved.
-->
# hydrodataset
[](https://pypi.python.org/pypi/hydrodataset)
[](https://anaconda.org/conda-forge/hydrodataset)
**A Python package for downloading and reading hydrological datasets**
- Free software: MIT license
- Documentation: https://OuyangWenyu.github.io/hydrodataset
## Installation
It is quite easy to install hydrodataset. We provide a pip package to install:
```Bash
pip install hydrodataset
```
I highly recommend you to install this package in a virtual environment, so that it won't have negative impact on other packages in your base environment.
for example:
```Bash
# xxx is your env's name, such as hydrodataset
conda create -n xxx python=3.10
# activate the env
conda activate xxx
# install hydrodataset
conda install pip
pip install hydrodataset
```
## Usage
### 1. Download datasets
There are many datasets similar to CAMELS(-US), including CAMELS-AUS (Australia), CAMELS-BR (Brazil), CAMELS-CH (Switzerland), CAMELS-CL (Chile), CAMELS-DE (Germany), CAMELS-DK (Denmark), CAMELS-GB (Great Britain), CAMELS-SE (Sweden), LamaH-CE, HYSETS. Recently, a new dataset named Caravan is released, which is a global dataset.
Now we only support auto-downloading for CAMELS-US (later for others), but I highly recommend you download them manually, as the downloading is not stable sometimes because of unstable web connections to the servers of these datasets in different places in the world.
the download links:
- [CAMELS-AUS (Australia)](https://doi.pangaea.de/10.1594/PANGAEA.921850)
- [CAMELS-BR (Brazil)](https://zenodo.org/record/3964745#.YNsjKOgzbIU)
- [CAMELS-CH (Switzerland)](https://zenodo.org/records/10354485)
- [CAMELS-CL (Chile)](https://doi.pangaea.de/10.1594/PANGAEA.894885)
- [CAMELS-DE (Germany)](https://zenodo.org/records/12733968)
- [CAMELS-DK (Denmark)](https://doi.org/10.22008/FK2/AZXSYP)
- [CAMELS-GB (Great Britain)](https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9)
- [CAMELS-SE (Sweden)](https://snd.se/sv/catalogue/dataset/2023-173/1)
- [CAMELS-US (United States)](https://gdex.ucar.edu/dataset/camels.html)
- [LamaH-CE (Central Europe)](https://doi.org/10.5281/zenodo.4525244)
- [HYSETS (North America)](https://osf.io/rpc3w/#!)
- [Caravan (Global)](https://zenodo.org/record/7944025)
put these downloaded files in the directory organized as follows:
```dir
camels/
├─ camels_aus/
│ ├─ 01_id_name_metadata.zip
│ ├─ 02_location_boundary_area.zip
│ ├─ 03_streamflow.zip
│ ├─ 04_attributes.zip
│ ├─ 05_hydrometeorology.zip
├─ camels_br/
│ ├─ 01_CAMELS_BR_attributes.zip
│ ├─ 02_CAMELS_BR_streamflow_m3s.zip
│ ├─ 03_CAMELS_BR_streamflow_mm_selected_catchments.zip
│ ├─ 04_CAMELS_BR_streamflow_simulated.zip
│ ├─ 05_CAMELS_BR_precipitation_chirps.zip
│ ├─ 06_CAMELS_BR_precipitation_mswep.zip
│ ├─ 07_CAMELS_BR_precipitation_cpc.zip
│ ├─ 08_CAMELS_BR_evapotransp_gleam.zip
│ ├─ 09_CAMELS_BR_evapotransp_mgb.zip
│ ├─ 10_CAMELS_BR_potential_evapotransp_gleam.zip
│ ├─ 11_CAMELS_BR_temperature_min_cpc.zip
│ ├─ 12_CAMELS_BR_temperature_mean_cpc.zip
│ ├─ 13_CAMELS_BR_temperature_max_cpc.zip
│ ├─ 14_CAMELS_BR_catchment_boundaries.zip
│ ├─ 15_CAMELS_BR_gauges_location_shapefile.zip
├─ camels_ch/
│ ├─ camels_ch.zip
├─ camels_cl/
│ ├─ 10_CAMELScl_tmean_cr2met.zip
│ ├─ 11_CAMELScl_pet_8d_modis.zip
│ ├─ 12_CAMELScl_pet_hargreaves.zip
│ ├─ 13_CAMELScl_swe.zip
│ ├─ 14_CAMELScl_catch_hierarchy.zip
│ ├─ 1_CAMELScl_attributes.zip
│ ├─ 2_CAMELScl_streamflow_m3s.zip
│ ├─ 3_CAMELScl_streamflow_mm.zip
│ ├─ 4_CAMELScl_precip_cr2met.zip
│ ├─ 5_CAMELScl_precip_chirps.zip
│ ├─ 6_CAMELScl_precip_mswep.zip
│ ├─ 7_CAMELScl_precip_tmpa.zip
│ ├─ 8_CAMELScl_tmin_cr2met.zip
│ ├─ 9_CAMELScl_tmax_cr2met.zip
│ ├─ CAMELScl_catchment_boundaries.zip
├─ camels_de/
│ ├─ camels_de.zip
├─ camels_dk/
│ ├─ Attributes
│ ├─ Dynamics
│ ├─ Shapefile
├─ camels_gb/
│ ├─ 8344e4f3-d2ea-44f5-8afa-86d2987543a9.zip
├─ camels_se/
│ ├─ catchment properties.zip
│ ├─ catchment time series.zip
│ ├─ catchment_GIS_shapefiles.zip
├─ camels_us/
│ ├─ basin_set_full_res.zip
│ ├─ basin_timeseries_v1p2_metForcing_obsFlow.zip
│ ├─ basin_timeseries_v1p2_modelOutput_daymet.zip
│ ├─ basin_timeseries_v1p2_modelOutput_maurer.zip
│ ├─ basin_timeseries_v1p2_modelOutput_nldas.zip
│ ├─ camels_attributes_v2.0.xlsx
│ ├─ camels_clim.txt
│ ├─ camels_geol.txt
│ ├─ camels_hydro.txt
│ ├─ camels_name.txt
│ ├─ camels_soil.txt
│ ├─ camels_topo.txt
│ ├─ camels_vege.txt
lamah_ce/
├─ 2_LamaH-CE_daily
hysets/
├─ HYSETS_2020_QC_stations.nc
├─ HYSETS_watershed_boundaries.zip
├─ HYSETS_watershed_properties.txt
caravan/
├─ Caravan.zip
├─ Caravan_extension_CH.zip
```
### 2. Run the code
First, run the following Python code:
```Python
import hydrodataset
```
then in your home directory, you will find the directory for hydrodataset:
- Windows: C:\\Users\\xxx\\hydro_setting.yml (xxx is your username))
- Ubuntu: /home/xxx/hydro_setting.yml
The hydro_setting.yml file is a config file including some specific path for your datasets and some credentials for your database, such as minio and postgres.
**NOTE: For this repository, we only need the "datasets-origin" of "local_data_path", so just fill in the path for "datasets-origin" in the "local_data_path" section, and leave other fields empty.**
```YAML
minio:
server_url: ''
client_endpoint: ''
access_key: ''
secret: ''
local_data_path:
root: ''
datasets-origin: 'D:\data\waterism\datasets-origin' # set your path here
datasets-interim: ''
basins-origin: ''
basins-interim: ''
postgres:
server_url: ''
port: 0
username: ''
password: ''
database: ''
```
Then, you can use functions in hydrodataset, examples could be seen **here: https://github.com/OuyangWenyu/hydrodataset/blob/main/examples/scripts.py**
**NOTE: Please don't modify the interface of the functions in hydrodataset, as it may cause some errors, unless one can entirely refactor the code.**
These functions are about reading attributes/forcing/streamflow data.
**When you first run the code, you should set the parameter "download" to True**:
```Python
import os
from hydrodataset.camels import Camels
camels = Camels(data_path=os.path.join("camels", "camels_us"), download=True, region="US")
```
It will unzip all downloaded files, and take some minutes, please be patient.
**Except for the first run, you should set "download" to False**:
```Python
import os
from hydrodataset.camels import Camels
# default is False
camels = Camels(data_path=os.path.join("camels", "camels_us"), region="US")
```
You can change your data_path to anywhere you put in the the root directory of hydrodataset.
## Features
HydroDataset is designed to help (1) download, (2) read, (3)format and (4) visualize some datasets through a
core language (Python) for watershed hydrological modeling.
**Note**: But now this repository is still developing and only supports quite simple functions such as downloading and reading data for watersheds.
Now the dataset zoo list includes:
| **Number** | **Dataset** | **Description** |
| ---------- | ----------- | ------------------------------------------------------------------- |
| 1 | **CAMELS** | CAMELS series datasets including CAMELS-AUS/BR/CH/CL/DE/DK/GB/SE/US |
| 2 | **LamaH** | LamaH-CE dataset for Central Europe |
| 3 | **HYSETS** | HYSETS dataset for North America |
| 4 | **Caravan** | Caravan dataset for global |
For CAMELS-CH/DE/DK/SE, we didn't finish reading functions yet, but we will finish them soon.
We highly recommend you to use [xarray](http://xarray.pydata.org/en/stable/) to read the data, as it is a powerful tool for handling multi-dimensional data. Then, you can see the units of all variables in the xarray dataset. For US, we provide full support for reading attributes, forcing, and streamflow data with such a cache-reading support, so that you can read them quickly after the first time you read them.
For others, we only provide support for reading without cache-reading support, so it may take some time to read them. We will finish cache-reading support for them soon.
For units, we use [pint](https://github.com/hgrecco/pint), and [pint-xarray](https://github.com/xarray-contrib/pint-xarray) to handle them.
## Credits
This package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [giswqs/pypackage](https://github.com/giswqs/pypackage) project template.
It was inspired by [HydroData](https://github.com/mikejohnson51/HydroData) and used some tools made by [cheginit](https://github.com/cheginit).
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"description": "<!--\n * @Author: Wenyu Ouyang\n * @Date: 2021-12-05 22:13:21\n * @LastEditTime: 2024-10-15 14:32:16\n * @LastEditors: Wenyu Ouyang\n * @Description: README for hydrodataset\n * @FilePath: \\hydrodataset\\README.md\n * Copyright (c) 2021-2022 Wenyu Ouyang. All rights reserved.\n-->\n# hydrodataset\n\n\n[](https://pypi.python.org/pypi/hydrodataset)\n[](https://anaconda.org/conda-forge/hydrodataset)\n\n\n**A Python package for downloading and reading hydrological datasets**\n\n- Free software: MIT license\n- Documentation: https://OuyangWenyu.github.io/hydrodataset\n\n## Installation\n\nIt is quite easy to install hydrodataset. We provide a pip package to install:\n\n```Bash\npip install hydrodataset\n```\n\nI highly recommend you to install this package in a virtual environment, so that it won't have negative impact on other packages in your base environment.\n\nfor example:\n\n```Bash\n# xxx is your env's name, such as hydrodataset\nconda create -n xxx python=3.10\n# activate the env\nconda activate xxx\n# install hydrodataset\nconda install pip\npip install hydrodataset\n```\n\n## Usage\n\n### 1. Download datasets\n\nThere are many datasets similar to CAMELS(-US), including CAMELS-AUS (Australia), CAMELS-BR (Brazil), CAMELS-CH (Switzerland), CAMELS-CL (Chile), CAMELS-DE (Germany), CAMELS-DK (Denmark), CAMELS-GB (Great Britain), CAMELS-SE (Sweden), LamaH-CE, HYSETS. Recently, a new dataset named Caravan is released, which is a global dataset.\n\nNow we only support auto-downloading for CAMELS-US (later for others), but I highly recommend you download them manually, as the downloading is not stable sometimes because of unstable web connections to the servers of these datasets in different places in the world.\n\nthe download links:\n\n- [CAMELS-AUS (Australia)](https://doi.pangaea.de/10.1594/PANGAEA.921850)\n- [CAMELS-BR (Brazil)](https://zenodo.org/record/3964745#.YNsjKOgzbIU)\n- [CAMELS-CH (Switzerland)](https://zenodo.org/records/10354485)\n- [CAMELS-CL (Chile)](https://doi.pangaea.de/10.1594/PANGAEA.894885)\n- [CAMELS-DE (Germany)](https://zenodo.org/records/12733968)\n- [CAMELS-DK (Denmark)](https://doi.org/10.22008/FK2/AZXSYP)\n- [CAMELS-GB (Great Britain)](https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9)\n- [CAMELS-SE (Sweden)](https://snd.se/sv/catalogue/dataset/2023-173/1)\n- [CAMELS-US (United States)](https://gdex.ucar.edu/dataset/camels.html)\n- [LamaH-CE (Central Europe)](https://doi.org/10.5281/zenodo.4525244)\n- [HYSETS (North America)](https://osf.io/rpc3w/#!)\n- [Caravan (Global)](https://zenodo.org/record/7944025)\n\nput these downloaded files in the directory organized as follows:\n\n```dir\ncamels/\n\u251c\u2500 camels_aus/\n\u2502 \u251c\u2500 01_id_name_metadata.zip\n\u2502 \u251c\u2500 02_location_boundary_area.zip\n\u2502 \u251c\u2500 03_streamflow.zip\n\u2502 \u251c\u2500 04_attributes.zip\n\u2502 \u251c\u2500 05_hydrometeorology.zip\n\u251c\u2500 camels_br/\n\u2502 \u251c\u2500 01_CAMELS_BR_attributes.zip\n\u2502 \u251c\u2500 02_CAMELS_BR_streamflow_m3s.zip\n\u2502 \u251c\u2500 03_CAMELS_BR_streamflow_mm_selected_catchments.zip\n\u2502 \u251c\u2500 04_CAMELS_BR_streamflow_simulated.zip\n\u2502 \u251c\u2500 05_CAMELS_BR_precipitation_chirps.zip\n\u2502 \u251c\u2500 06_CAMELS_BR_precipitation_mswep.zip\n\u2502 \u251c\u2500 07_CAMELS_BR_precipitation_cpc.zip\n\u2502 \u251c\u2500 08_CAMELS_BR_evapotransp_gleam.zip\n\u2502 \u251c\u2500 09_CAMELS_BR_evapotransp_mgb.zip\n\u2502 \u251c\u2500 10_CAMELS_BR_potential_evapotransp_gleam.zip\n\u2502 \u251c\u2500 11_CAMELS_BR_temperature_min_cpc.zip\n\u2502 \u251c\u2500 12_CAMELS_BR_temperature_mean_cpc.zip\n\u2502 \u251c\u2500 13_CAMELS_BR_temperature_max_cpc.zip\n\u2502 \u251c\u2500 14_CAMELS_BR_catchment_boundaries.zip\n\u2502 \u251c\u2500 15_CAMELS_BR_gauges_location_shapefile.zip\n\u251c\u2500 camels_ch/\n\u2502 \u251c\u2500 camels_ch.zip\n\u251c\u2500 camels_cl/\n\u2502 \u251c\u2500 10_CAMELScl_tmean_cr2met.zip\n\u2502 \u251c\u2500 11_CAMELScl_pet_8d_modis.zip\n\u2502 \u251c\u2500 12_CAMELScl_pet_hargreaves.zip\n\u2502 \u251c\u2500 13_CAMELScl_swe.zip\n\u2502 \u251c\u2500 14_CAMELScl_catch_hierarchy.zip\n\u2502 \u251c\u2500 1_CAMELScl_attributes.zip\n\u2502 \u251c\u2500 2_CAMELScl_streamflow_m3s.zip\n\u2502 \u251c\u2500 3_CAMELScl_streamflow_mm.zip\n\u2502 \u251c\u2500 4_CAMELScl_precip_cr2met.zip\n\u2502 \u251c\u2500 5_CAMELScl_precip_chirps.zip\n\u2502 \u251c\u2500 6_CAMELScl_precip_mswep.zip\n\u2502 \u251c\u2500 7_CAMELScl_precip_tmpa.zip\n\u2502 \u251c\u2500 8_CAMELScl_tmin_cr2met.zip\n\u2502 \u251c\u2500 9_CAMELScl_tmax_cr2met.zip\n\u2502 \u251c\u2500 CAMELScl_catchment_boundaries.zip\n\u251c\u2500 camels_de/\n\u2502 \u251c\u2500 camels_de.zip\n\u251c\u2500 camels_dk/\n\u2502 \u251c\u2500 Attributes\n\u2502 \u251c\u2500 Dynamics\n\u2502 \u251c\u2500 Shapefile\n\u251c\u2500 camels_gb/\n\u2502 \u251c\u2500 8344e4f3-d2ea-44f5-8afa-86d2987543a9.zip\n\u251c\u2500 camels_se/\n\u2502 \u251c\u2500 catchment properties.zip\n\u2502 \u251c\u2500 catchment time series.zip\n\u2502 \u251c\u2500 catchment_GIS_shapefiles.zip\n\u251c\u2500 camels_us/\n\u2502 \u251c\u2500 basin_set_full_res.zip\n\u2502 \u251c\u2500 basin_timeseries_v1p2_metForcing_obsFlow.zip\n\u2502 \u251c\u2500 basin_timeseries_v1p2_modelOutput_daymet.zip\n\u2502 \u251c\u2500 basin_timeseries_v1p2_modelOutput_maurer.zip\n\u2502 \u251c\u2500 basin_timeseries_v1p2_modelOutput_nldas.zip\n\u2502 \u251c\u2500 camels_attributes_v2.0.xlsx\n\u2502 \u251c\u2500 camels_clim.txt\n\u2502 \u251c\u2500 camels_geol.txt\n\u2502 \u251c\u2500 camels_hydro.txt\n\u2502 \u251c\u2500 camels_name.txt\n\u2502 \u251c\u2500 camels_soil.txt\n\u2502 \u251c\u2500 camels_topo.txt\n\u2502 \u251c\u2500 camels_vege.txt\nlamah_ce/\n\u251c\u2500 2_LamaH-CE_daily\nhysets/\n\u251c\u2500 HYSETS_2020_QC_stations.nc\n\u251c\u2500 HYSETS_watershed_boundaries.zip\n\u251c\u2500 HYSETS_watershed_properties.txt\ncaravan/\n\u251c\u2500 Caravan.zip\n\u251c\u2500 Caravan_extension_CH.zip\n```\n\n### 2. Run the code\n\nFirst, run the following Python code:\n\n```Python\nimport hydrodataset\n```\n\nthen in your home directory, you will find the directory for hydrodataset:\n\n- Windows: C:\\\\Users\\\\xxx\\\\hydro_setting.yml (xxx is your username))\n- Ubuntu: /home/xxx/hydro_setting.yml\n\nThe hydro_setting.yml file is a config file including some specific path for your datasets and some credentials for your database, such as minio and postgres.\n\n**NOTE: For this repository, we only need the \"datasets-origin\" of \"local_data_path\", so just fill in the path for \"datasets-origin\" in the \"local_data_path\" section, and leave other fields empty.**\n\n```YAML\nminio:\n server_url: ''\n client_endpoint: ''\n access_key: ''\n secret: ''\n\nlocal_data_path:\n root: ''\n datasets-origin: 'D:\\data\\waterism\\datasets-origin' # set your path here\n datasets-interim: ''\n basins-origin: ''\n basins-interim: ''\npostgres:\n server_url: ''\n port: 0\n username: ''\n password: ''\n database: ''\n```\n\nThen, you can use functions in hydrodataset, examples could be seen **here: https://github.com/OuyangWenyu/hydrodataset/blob/main/examples/scripts.py**\n\n**NOTE: Please don't modify the interface of the functions in hydrodataset, as it may cause some errors, unless one can entirely refactor the code.**\n\nThese functions are about reading attributes/forcing/streamflow data.\n\n**When you first run the code, you should set the parameter \"download\" to True**:\n\n```Python\nimport os\nfrom hydrodataset.camels import Camels\ncamels = Camels(data_path=os.path.join(\"camels\", \"camels_us\"), download=True, region=\"US\")\n```\n\nIt will unzip all downloaded files, and take some minutes, please be patient.\n\n**Except for the first run, you should set \"download\" to False**:\n\n```Python\nimport os\nfrom hydrodataset.camels import Camels\n# default is False\ncamels = Camels(data_path=os.path.join(\"camels\", \"camels_us\"), region=\"US\")\n```\n\nYou can change your data_path to anywhere you put in the the root directory of hydrodataset.\n\n## Features\n\nHydroDataset is designed to help (1) download, (2) read, (3)format and (4) visualize some datasets through a\ncore language (Python) for watershed hydrological modeling.\n\n**Note**: But now this repository is still developing and only supports quite simple functions such as downloading and reading data for watersheds.\n\nNow the dataset zoo list includes:\n\n| **Number** | **Dataset** | **Description** |\n| ---------- | ----------- | ------------------------------------------------------------------- |\n| 1 | **CAMELS** | CAMELS series datasets including CAMELS-AUS/BR/CH/CL/DE/DK/GB/SE/US |\n| 2 | **LamaH** | LamaH-CE dataset for Central Europe |\n| 3 | **HYSETS** | HYSETS dataset for North America |\n| 4 | **Caravan** | Caravan dataset for global |\n\nFor CAMELS-CH/DE/DK/SE, we didn't finish reading functions yet, but we will finish them soon.\n\nWe highly recommend you to use [xarray](http://xarray.pydata.org/en/stable/) to read the data, as it is a powerful tool for handling multi-dimensional data. Then, you can see the units of all variables in the xarray dataset. For US, we provide full support for reading attributes, forcing, and streamflow data with such a cache-reading support, so that you can read them quickly after the first time you read them.\n\nFor others, we only provide support for reading without cache-reading support, so it may take some time to read them. We will finish cache-reading support for them soon.\n\nFor units, we use [pint](https://github.com/hgrecco/pint), and [pint-xarray](https://github.com/xarray-contrib/pint-xarray) to handle them.\n\n## Credits\n\nThis package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [giswqs/pypackage](https://github.com/giswqs/pypackage) project template.\n\nIt was inspired by [HydroData](https://github.com/mikejohnson51/HydroData) and used some tools made by [cheginit](https://github.com/cheginit).\n",
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