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fcast-0.1.0


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توضیحات

A collection of python tools used for forecasting flood events and their impact on transportation infrastructure.
ویژگی مقدار
سیستم عامل -
نام فایل fcast-0.1.0
نام fcast
نسخه کتابخانه 0.1.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Dewberry
ایمیل نویسنده abrazeau@dewberry.com
آدرس صفحه اصلی https://github.com/Dewberry/fcast
آدرس اینترنتی https://pypi.org/project/fcast/
مجوز Apache License 2.0
<img src="docs/img/main_graphic.png" alt="fcast" width=100% height=auto> # [fcast](https://dewberry.github.io/fcast/) --- ## Description __fcast__ is a collection of python tools used for forecasting flood events and their impact on transportation infrastructure. The following datasets are used: - [The NHDPlus V2.1 dataset](http://www.horizon-systems.com/NHDPlus/NHDPlusV2_home.php) - Staged Elevation from [The National Map](https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map). - [FTP LINK](ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/) - [USGS National Transportation Dataset (NTD)](https://catalog.data.gov/dataset/usgs-national-transportation-dataset-ntd-downloadable-data-collectionde7d2) - [The National Water Model (NWM)](https://console.cloud.google.com/marketplace/details/noaa-public/national-water-model?filter=category:climate&id=2b3b4e1c-20ad-455c-89c5-7c09b82c7f98) - [More information](https://water.noaa.gov/about/nwm) --- ## Installation See https://dewberry.github.io/fcast/setup/ for installation details. --- ## Contents `fcast` - The collection of core .py files. - [__GageUSGS__](fcast/GageUSGS.py): An API for webscraping stream gage data from various USGS websites. - [__NHDPlusStreamSegment__](fcast/NHDPlusStreamSegment.py): An API for quick and easy access to the NHDPlus V2.1. - [__NWM__](fcast/NWM.py): An API for quick and easy access to the [NWM output files](https://console.cloud.google.com/marketplace/details/noaa-public/national-water-model?filter=category:climate&id=2b3b4e1c-20ad-455c-89c5-7c09b82c7f98). - [__plotting__](fcast/plotting.py): Functions for plotting using matplotlib and pandas. `notebooks` - The collection of [Jupyter Notebooks](https://jupyter.org/) running the code in the fcast subdirectory. Jupyter Notebooks are used because they produce easy, reproducible, and accesible outputs. - [__MediumRangeForecasts__](notebooks/MediumRangeForecasts.ipynb): Retrieve the medium range forecast of streamflow from the outputs of the National Water Model. More information can be found [here under Forecast Configurations.](https://water.noaa.gov/about/nwm) - [__NWM_classes-Dev__](notebooks/NWM_classes-Dev.ipynb): Development space for NWM class objects. - [__ShortRangeForecasts__](notebooks/ShortRangeForecasts.ipynb): Retrieve the short range forecast of streamflow from the outputs of the National Water Model. More information can be found [here under Forecast Configurations.](https://water.noaa.gov/about/nwm) - [__USGS_Gages__](notebooks/USGS_Gages.ipynb): Example usage of the GageUSGS class. - [__clean_GageLoc_shp__](notebooks/clean_GageLoc_shp.ipynb): The notebook used to clean and add attributes to the GageLoc shapefile. The output shapefile/json is used to easily match ComIDs with USGS gage IDs. - [__compare_rc_NWM_USGS-Dev__](notebooks/compare_rc_NWM_USGS-Dev.ipynb): Development space for comparing rating curves from the National Water Model to the rating curves from the USGS. - [__explore_NHDPlus-Dev__](notebooks/explore_NHDPlus-Dev.ipynb): Development space for the StreamSegmentNHD class. `notebooks/data_exploration` - A collection of Jupyter notebooks used for exploring 1D and 2D NWM rating curves and retrieving NWM HAND datasets. - [__rating_curves__](notebooks/data_exploration/rating_curves.ipynb): Exploration and comparison of the `hydroprop-fulltable-HUC6.nohand0.csv` and `hydroprop-fulltable-HUC6.csv` rating curve files. - [__rating_curves_1D_nc__](notebooks/data_exploration/rating_curves_1D_nc.ipynb): Exploration of rating curves from the NWM 1D netcdf file. - [__rating_curves_2D_nc__](notebooks/data_exploration/rating_curves_2D_nc.ipynb): Exploration of rating curves from the NWM 2D netcdf file. - [__retrieve_HAND_datasets__](notebooks/data_exploration/retrieve_HAND_datasets.ipynb): Download of HAND datasets for data exploration. `reanalysis` - An initial look at the NWM reanalysis netcdf files. - [__Clean_data_By_date__](reanalysis/Clean_data_By_date.py): Organizing downloaded data by dates. - [__Download_Reanalysis_Data__](reanalysis/Download_Reanalysis_Data.py): Downloading reanalysis netcdf files from s3. - [__Plot__](reanalysis/Plot.py): Plotting NWM reanalysis data. - [__Time_series__](reanalysis/Time_Series.py): Making a time series at a specific ComID. - [__explore_reanalysis-Dev__](reanalysis/explore_reanalysis-Dev.ipynb): A notebook for downloading a time series of reanalysis data from s3 and making a streamflow time series plot at one ComID. - [__reanalysis__](reanalysis/reanalysis.py): Functions used in the __explore_reanalysis-Dev__ notebook. ## [View the Documentation](https://dewberry.github.io/fcast/)


نیازمندی

مقدار نام
- gcsfs
- xarray
- matplotlib
- numpy
- pandas
- scipy
- boto3
- requests
- beautifulsoup4
- fiona
- shapely


نحوه نصب


نصب پکیج whl fcast-0.1.0:

    pip install fcast-0.1.0.whl


نصب پکیج tar.gz fcast-0.1.0:

    pip install fcast-0.1.0.tar.gz