Add RVIC Streamflow routing model

recipes/rvic/meta.yaml

@@ -0,0 +1,68 @@
+{% set name = "RVIC" %}
+{% set version = "1.1.1" %}
+{% set sha256 = "7dae5d7c5d2e79b8dda59651c363c8596e10b3b33730ec83e10fb960ba14eee0" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  fn: {{ name }}-{{ name|lower }}-{{ version }}.tar.gz
+  url: https://github.com/UW-Hydro/{{ name }}/archive/{{ name|lower }}.{{ version }}.tar.gz
+  sha256: {{ sha256 }}
+
+build:
+  number: 0
+  script: python -m pip install --no-deps --ignore-installed .
+requirements:
+  build:
+    - python >=3
+    - toolchain
+    - pip
+  run:
+    - python >=3
+    - numpy
+    - scipy
+    - pandas
+    - netcdf4
+    - matplotlib
+
+test:
+  imports:
+    - rvic
+    - rvic.core
+    - rvic.parameters
+    - rvic.convolution
+    - rvic.convert
+  commands:
+    - rvic --help
+    - rvic parameters --help
+    - rvic convolution --help
+    - rvic convert --help
+  requires:
+    - pytest
+
+about:
+  home: https://github.com/UW-Hydro/RVIC
+  license: GPL-3.0
+  license_family: GPL3
+  license_file: LICENSE.txt
+  summary: 'RVIC Streamflow Routing Model'
+
+  description: |
+    The RVIC streamflow routing model is an adapted version of the model the
+    model typically used as a post-processor with the Variable Infiltration
+    Capacity (VIC) hydrology model. The routing model is a source-to-sink model
+    that solves a linearized version of the Saint-Venant equations. This
+    model, developed by Lohmann et al. (1996, 1998a, 1998b), has been used in
+    many offline studies at a variety of spatial scales. Furthermore, the
+    development of the impulse response functions (IRFs) is done as a
+    preprocessing step, which considerably reduces the computation time in
+    subsequent routing steps.
+  doc_url: http://rvic.readthedocs.io/
+  dev_url: https://github.com/UW-Hydro/RVIC
+
+extra:
+  recipe-maintainers:
+    - jhamman
+    - bartnijssen