Science Score: 57.0%

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  • CITATION.cff file
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  • DOI references
    Found 2 DOI reference(s) in README
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  • Scientific vocabulary similarity
    Low similarity (3.1%) to scientific vocabulary
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  • Host: GitHub
  • Owner: UF-CRS
  • Language: Python
  • Default Branch: main
  • Size: 6.12 MB
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Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme Citation

README.md

Spatial Stochastic Weather Generator

Generate regional preciptitation, temperature, and solar radiation data that is spatially correlated.

Calibrates on NASA POWER

Usage

```python import datetime as dt import geopandas as gpd import sgen

Regional geometry in WGS84 projection

region = gpd.read_file('region.geojson').geometry[0]

Builds generator at 0.5 deg resolution and calibrates on NASA POWER historical archive.

generator = sgen.buildspatialweather_generator(region)

startdate = dt.date(2020, 1, 1) numdays = 2000

Outputs xarray on region in WGS84 projection with daily ppt, max and min temp, and srad

on a 0.5 deg grid

generatedweather = generator.simulateweather(startdate, numdays)

```

Citations

Based on the following papers by Wilks:

Multisite generalization of a daily stochastic precipitation generation model (1998) DOI: 10.1016/S0022-1694(98)00186-3

Simultaneous stochastic simulation of daily precipitation, temperature and solar radiation at multiple sites in complex terrain (1999) DOI: 10.1016/S0168-1923(99)00037-4

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Spatial Stochastic Weather Generator
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: George
    family-names: Worrall
    email: gworrall@ufl.edu
    affiliation: University of Florida
    orcid: 'https://orcid.org/0000-0002-3885-4795'

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Dependencies

environment.yml pypi