Hello Ansley, Thank you for your help. I am a beginner in ferret and I couldn't figure out how to mask it out. Can you help me? I have a global precipitation NetCDF data and I have also a NetCDF of a river basin. I wanted to have time series precipitation of the basin. I tried to make the precipitation data missing else where except in the basin. I created a global netcdf data with zero values by multiplying the precipitation data by zero, then made the river basin netcdf to have a value of 1. Then, I tried to add them up to get data with values of zero and 1 to create mask from it using those with value of 1 and then multiply the global precipitation data by the masking data. But I got this error message: "inconsistent sizes of data regions: X axis BL[D=1] has 263 points (I=000:262) _expression_ has 720 points (I=001:720)" Do you have some idea to overcome this problem? Thankfully, Fisseha Berhane PhD student Johns Hopkins University Baltimore, Maryland --- On Fri, 1/20/12, Ansley Manke <ansley.b.manke@xxxxxxxx> wrote:
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