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ewatercycle-1.4.1


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توضیحات

A Python package for running and validating a hydrology model
ویژگی مقدار
سیستم عامل -
نام فایل ewatercycle-1.4.1
نام ewatercycle
نسخه کتابخانه 1.4.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Stefan Verhoeven
ایمیل نویسنده s.verhoeven@esciencecenter.nl
آدرس صفحه اصلی https://www.ewatercycle.org/
آدرس اینترنتی https://pypi.org/project/ewatercycle/
مجوز Apache Software License 2.0
# ewatercycle ![image](https://github.com/eWaterCycle/ewatercycle/raw/main/docs/examples/logo.png) A Python package for running hydrological models. [![image](https://github.com/eWaterCycle/ewatercycle/actions/workflows/ci.yml/badge.svg)](https://github.com/eWaterCycle/ewatercycle/actions/workflows/ci.yml) [![image](https://sonarcloud.io/api/project_badges/measure?project=eWaterCycle_ewatercycle&metric=alert_status)](https://sonarcloud.io/dashboard?id=eWaterCycle_ewatercycle) [![image](https://sonarcloud.io/api/project_badges/measure?project=eWaterCycle_ewatercycle&metric=coverage)](https://sonarcloud.io/component_measures?id=eWaterCycle_ewatercycle&metric=coverage) [![Documentation Status](https://readthedocs.org/projects/ewatercycle/badge/?version=latest)](https://ewatercycle.readthedocs.io/en/latest/?badge=latest) [![PyPI](https://img.shields.io/pypi/v/ewatercycle)](https://pypi.org/project/ewatercycle/) [![image](https://img.shields.io/badge/fair--software.eu-%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8F%20%20%E2%97%8B-yellow)](https://fair-software.eu) [![image](https://zenodo.org/badge/DOI/10.5281/zenodo.5119389.svg)](https://doi.org/10.5281/zenodo.5119389) [![Research Software Directory Badge](https://img.shields.io/badge/rsd-ewatercycle-00a3e3.svg)](https://www.research-software.nl/software/ewatercycle) The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge about how to install and run the models. - Uses container for running models in an isolated and portable way with [grpc4bmi](https://github.com/eWaterCycle/grpc4bmi) - Generates rain and sunshine required for the model using [ESMValTool](https://www.esmvaltool.org/) - Supports observation data from [GRDC or USGS](https://ewatercycle.readthedocs.io/en/latest/observations.html) - Exposes [simple interface](https://ewatercycle.readthedocs.io/en/latest/examples/ewatercycle_api_notebook.html) to quickly get up and running ## Install The ewatercycle package needs some geospatial non-python packages to generate forcing data. It is preferred to create a Conda environment to install those dependencies: ```shell wget https://raw.githubusercontent.com/eWaterCycle/ewatercycle/main/environment.yml conda install mamba -n base -c conda-forge -y mamba env create --file environment.yml conda activate ewatercycle ``` The ewatercycle package is installed with ```shell pip install ewatercycle ``` Besides installing software you will need to create a configuration file, download several data sets and get container images. See the [system setup chapter](https://ewatercycle.readthedocs.org/en/latest/system_setup.html) for instructions. ## Usage Example using the [Marrmot M14 (TOPMODEL)](https://github.com/wknoben/MARRMoT/blob/master/MARRMoT/Models/Model%20files/m_14_topmodel_7p_2s.m) hydrological model on Merrimack catchment to generate forcing, run it and produce a hydrograph. ```python import pandas as pd import ewatercycle.analysis import ewatercycle.forcing import ewatercycle.models import ewatercycle.observation.grdc forcing = ewatercycle.forcing.generate( target_model='marrmot', dataset='ERA5', start_time='2010-01-01T00:00:00Z', end_time='2010-12-31T00:00:00Z', shape='Merrimack/Merrimack.shp' ) model = ewatercycle.models.MarrmotM14(version="2020.11", forcing=forcing) cfg_file, cfg_dir = model.setup( threshold_flow_generation_evap_change=0.1, leakage_saturated_zone_flow_coefficient=0.99, zero_deficit_base_flow_speed=150.0, baseflow_coefficient=0.3, gamma_distribution_phi_parameter=1.8 ) model.initialize(cfg_file) observations_df, station_info = ewatercycle.observation.grdc.get_grdc_data( station_id=4147380, start_time=model.start_time_as_isostr, end_time=model.end_time_as_isostr, column='observation', ) simulated_discharge = [] timestamps = [] while (model.time < model.end_time): model.update() value = model.get_value('flux_out_Q')[0] # flux_out_Q unit conversion factor from mm/day to m3/s area = 13016500000.0 # from shapefile in m2 conversion_mmday2m3s = 1 / (1000 * 24 * 60 * 60) simulated_discharge.append(value * area * conversion_mmday2m3s) timestamps.append(model.time_as_datetime.date()) simulated_discharge_df = pd.DataFrame({'simulated': simulated_discharge}, index=pd.to_datetime(timestamps)) ewatercycle.analysis.hydrograph(simulated_discharge_df.join(observations_df), reference='observation') model.finalize() ``` More examples can be found in the [documentation](https://ewatercycle.readthedocs.io). ## Contributing If you want to contribute to the development of ewatercycle package, have a look at the [contribution guidelines](CONTRIBUTING.md). ## License Copyright (c) 2018, Netherlands eScience Center & Delft University of Technology Apache Software License 2.0


نیازمندی

مقدار نام
- Fiona
- Shapely
- basic-modeling-interface
- cftime
>=2.4.0 esmvaltool
<0.3,>=0.2.12 grpc4bmi
- grpcio
- hydrostats
>=3.5.0 matplotlib
- numpy
- pandas
<=3.20.1 protobuf
- pyoos
- python-dateutil
- ruamel.yaml
- scipy
- xarray
- black[jupyter]
- build
- bump2version
- deepdiff
- ipython
- isort
- nbsphinx
>=2.15.0 pre-commit
- pycodestyle
- pytest
- pytest-cov
- pytest-mypy
- pytest-runner
- recommonmark
- sphinx
- sphinx-copybutton
- sphinx-rtd-theme
- twine
- types-python-dateutil


زبان مورد نیاز

مقدار نام
>=3.8 Python


نحوه نصب


نصب پکیج whl ewatercycle-1.4.1:

    pip install ewatercycle-1.4.1.whl


نصب پکیج tar.gz ewatercycle-1.4.1:

    pip install ewatercycle-1.4.1.tar.gz