prl900

{"output":"metar_wind_spd",
"input":[{"name":"gfs_wind_dir","type":"cir"},
         {"name":"time","type":"cir"},
         {"name":"gfs_wind_spd","type":"lin"},
         {"name":"gfs_rh","type":"lin"}]}

{"output":"metar_wind_spd",
"input":[{"name":"u_time","type":"cir"},
         {"name":"v_time","type":"cir"},
         {"name":"gfs_uwind_spd","type":"lin"},

prl900

{"output":"metar_wind_spd",
"input":[{"name":"gfs_wind_dir","type":"cir"},
         {"name":"gfs_rh","type":"lin"}]}

{"output":"metar_wind_spd",
"input":[{"name":"gfs_u","type":"lin"},
         {"name":"gfs_v","type":"lin"},
         {"name":"gfs_rh","type":"lin"}]}

datasets/eddt_clean.csv

prl900

{"output":"metar_wind_spd",
"input":[{"name":"gfs_wind_dir","type":"cir"},
         {"name":"gfs_wind_spd","type":"lin"},
         {"name":"gfs_rh","type":"lin"}]}

{"output":"metar_wind_spd",
"input":[{"name":"gfs_uwind_spd","type":"lin"},
         {"name":"gfs_vwind_spd","type":"lin"},
         {"name":"gfs_rh","type":"lin"}]}

prl900

{
    "Conventions": "CF-1.6, ACDD-1.3",
    "title": "Fractional cover - MODIS, CSIRO Land and Water algorithm",
    "summary": "Vegetation fractional cover represents the exposed proportion of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS) within each pixel. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil. The MODIS Fractional Cover product is derived from the MODIS Nadir BRDF-Adjusted Reflectance (NBAR) product (MCD43A4, collection 5). A suite of derivative are also produced, namely total vegetation cover (PV+NPV), monthly fractional cover and total vegetation cover, monthly anomaly of total cover against the time series, and three-monthly total cover difference. MODIS fractional cover has been validated for Australia.  ",
    "license": "Creative Commons BY 4.0 - Rights: Copyright 2008-2016 CSIRO. Rights owned by the Commonwealth Scientific and Industrial Research Organisation (CSI

prl900

import numpy as np
from osgeo import gdal
import scipy.optimize as opt
import scipy.ndimage
from PIL import Image
import netCDF4
import json
import os
import sys
import datetime