A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
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{% set version = "1.0b1" %}
package:
name: wrf-python
version: {{ version }}
source:
fn: wrf-python-{{ version }}.tar.gz
url: https://github.com/NCAR/wrf-python/archive/{{ version }}.tar.gz
sha256: 94f05a9719701959702094eafb84555a996bc4f7d75042fb07bca3c35bda9f31
build:
number: 1
detect_binary_files_with_prefix: true
skip: True # [win32 or np>=112 or (win and py>=35)]
requirements:
build:
- pip
- numpy x.x
- wrapt
- m2w64-toolchain # [win]
- gcc # [unix]
- libgcc # [unix]
- python
- vc 9 # [win and py27]
- vc 10 # [win and py34]
- vc 14 # [win and py>=35]
run:
- numpy x.x
- python
- wrapt
- m2w64-toolchain # [win]
- gcc # [unix]
- libgcc # [unix]
- xarray
- vc 9 # [win and py27]
- vc 10 # [win and py34]
- vc 14 # [win and py>=35]
test:
requires:
- nose
imports:
- wrf
about:
home: https://github.com/NCAR/wrf-python
license: "NCL Source Code"
summary: "Diagnostic and interpolation routines for WRF-ARW data."
extra:
recipe-maintainers:
- bladwig1
- marylhaley
- david-ian-brown
- khallock