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I am confused about the precipitation data input , My data and the sample data are both monthly data. my data is the acumulation of the whole month , while sample data seems like mean accumulation of every day in the month.
LAO's sample data of precipitation ,like "LAOprecipitaion[ : , : , 6]" , it's value changes from 3 to30, while my data of precipitation , "myprecipitaion[ : , : , 6]" , it's value changes from 20 to 200 . But LAO's precipitation is more than my study area in real world . And in this situation ,my irr yield is completely same as rain yield . I think this means wrong data input ,value is too big.
Then i processed the data , make monthly value divided by the number of days in the month , the value will change from 0.6 to 7 . But in this situation ,the rain yield is all zero , value is too small
Now i dont know how to deal with the precipitation
The text was updated successfully, but these errors were encountered:
I am confused about the precipitation data input , My data and the sample data are both monthly data. my data is the acumulation of the whole month , while sample data seems like mean accumulation of every day in the month.
LAO's sample data of precipitation ,like "LAOprecipitaion[ : , : , 6]" , it's value changes from 3 to30, while my data of precipitation , "myprecipitaion[ : , : , 6]" , it's value changes from 20 to 200 . But LAO's precipitation is more than my study area in real world . And in this situation ,my irr yield is completely same as rain yield . I think this means wrong data input ,value is too big.
Then i processed the data , make monthly value divided by the number of days in the month , the value will change from 0.6 to 7 . But in this situation ,the rain yield is all zero , value is too small
Now i dont know how to deal with the precipitation
The text was updated successfully, but these errors were encountered: