CWDI
gma.climet.index.CWDI
function CWDI(pre, etc, axis = None, weights = [0.1, 0.15, 0.2, 0.25, 0.3], duration_per_weight = 10):
Calculate Crop Water Deficit Index.
Parameters:
pre: array.
Precipitation (mm).
etc: array.
Crop water requirements (mm).
Optional:
axis = int. Default None.
Calculation axis. If not set (None), multidimensional data will be expanded to 1 dimension for calculation.
weights = list. Default [0.1, 0.15, 0.2, 0.25, 0.3].
Weighting factors. The length of weights determines the number of weighting factors, and the sum of weights should be 1. Date from oldest to newest.
duration_per_weight = int. Default 10.
The length of water deficit corresponding to each weighting factor.
*Note: ThedatausedincalculatingeachCWDIislen(weights)��duration_per_weight.
Returns:
Type: array(%).
References.
Li Chongrui, You Songcai, Wu Yongfeng, Wang Yihao. Improved crop water deficit index for monitoring.
drought disaster change process of spring maize in the Northeast China[J]..
Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),.
2019, 35(21).