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https://github.com/bluegreen-labs/daymetpy

A python script to download Daymet data

https://github.com/bluegreen-labs/daymetpy

Science Score: 10.0%

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Keywords

climate-data data-retrieval daymet ornl-daac python
Last synced: 5 months ago · JSON representation

Repository

A python script to download Daymet data

Basic Info
Statistics
  • Stars: 20
  • Watchers: 1
  • Forks: 10
  • Open Issues: 0
  • Releases: 0
Topics
climate-data data-retrieval daymet ornl-daac python
Created almost 10 years ago · Last pushed over 6 years ago
Metadata Files
Readme License

README.md

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daymetpy: A python library for accessing Daymet surface weather data

daymetpy attempts to fill the need for easy, integrated access to gridded daily Daymet weather data. The data are hosted by the Oak Ridge National Laboratories DAAC and accessed from their web service.

Installation

Install the package using pip and the following command:

python pip install daymetpy

Use

Example code to calculate the temperature difference between Denver and Miami is given below. This gives an idea of code functionality and use. A worked example in an ipython notebook format can be found in the 'example' subdirectory.

```python import sys import daymetpy import pandas as pd import seaborn as sns import matplotlib.pyplot as plt

denverloc = (-104.9903, 39.7392) miamiloc = (-80.2089, 25.7753)

denver = daymetpy.daymettimeseries(lon=denverloc[0], lat=denverloc[1], startyear=2012, endyear=2014) miami = daymetpy.daymettimeseries(lon=miamiloc[0], lat=miamiloc[1], startyear=2012, endyear=2014)

fig, ax1 = plt.subplots(1, figsize=(18, 10)) rolling3day = denver.rolling(15).mean() ax1.fillbetween(rolling3day.index, rolling3day.tmin, rolling3day.tmax, alpha=0.4, lw=0, label='Denver', color=sns.xkcdpalette(['faded green'])[0]) ax1.settitle('Denver vs Miami temps (15 day mean)', fontsize=20) rolling3day = miami.rolling(15).mean() ax1.fillbetween(rolling3day.index, rolling3day.tmin, rolling3day.tmax, alpha=0.4, lw=0, label='Miami', color=sns.xkcdpalette(['dusty purple'])[0]) ax1.setylabel(u'Temp. (°C)', fontsize=20) fig.tight_layout() plt.legend(fontsize=20) ```

Requirements

Pandas / seaborn are required.

Contributors

  • Koen Hufkens: koen.hufkens@gmail.com
  • Colin Talbert

Owner

  • Name: BlueGreen Labs
  • Login: bluegreen-labs
  • Kind: organization
  • Email: info@bluegreenlabs.org
  • Location: Melsele, Belgium

BlueGreen open science labs & consulting, providing environmental research infrastructure and editorial solutions.

GitHub Events

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Last synced: about 2 years ago

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  • Total Committers: 5
  • Avg Commits per committer: 10.8
  • Development Distribution Score (DDS): 0.5
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Top Committers
Name Email Commits
Koen Hufkens k****s@g****m 27
Colin Talbert t****c@u****v 21
Koen Hufkens k****s@f****) 3
Tom Milliman t****n@u****u 2
Ryan Avery r****y@u****u 1
Committer Domains (Top 20 + Academic)
ucsb.edu: 1 unh.edu: 1 flatcat.(none): 1 usgs.gov: 1

Issues and Pull Requests

Last synced: 11 months ago

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  • Total issues: 1
  • Total pull requests: 3
  • Average time to close issues: 6 days
  • Average time to close pull requests: about 7 hours
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 5.0
  • Average comments per pull request: 0.67
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Top Authors
Issue Authors
  • khufkens (1)
Pull Request Authors
  • rbavery (1)
  • khufkens (1)
  • tmilliman (1)
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Dependencies

requirements.txt pypi
  • pandas *
  • seaborn *