crop = 'corn' plant = datetime.datetime(2000, 4, 15) emergence = 30 growth = 50 full = 60 late = 40 # crop coefficients (bare soil, full growth, harvest date) Ki = 0.30 Km = 1.15 Kl = 0.40 # add the information to the etcalculator calculator.add_crop(crop, plant, emergence, growth, full, late, Ki, Km, Kl) # calculate the daily crop coefficient time series from the start to the end calculator.calculate_daily_crop(crop, start, end) # the calculator stores all daily crop coefficient time series in a dictionary # structure with keys by crop name and values as start datetime and data start, Kc = calculator.dailyKcs[crop] # the calculator can extend the reference ET timeseries and the crop coefficient # to estimate crop-specific PET time series calculator.daily_PET(crop, start, end)
crop = "corn" plant = datetime.datetime(2000, 4, 15) emergence = 30 growth = 50 full = 60 late = 40 # crop coefficients (bare soil, full growth, harvest date) Ki = 0.30 Km = 1.15 Kl = 0.40 # add the information to the etcalculator calculator.add_crop(crop, plant, emergence, growth, full, late, Ki, Km, Kl) # calculate the daily crop coefficient time series from the start to the end calculator.calculate_daily_crop(crop, start, end) # the calculator stores all daily crop coefficient time series in a dictionary # structure with keys by crop name and values as start datetime and data start, Kc = calculator.dailyKcs[crop] # the calculator can extend the reference ET timeseries and the crop coefficient # to estimate crop-specific PET time series calculator.hourly_PET(crop, start, end)
