Algorithms for atmospheric water balance method

AI Thread Summary
To estimate divergence of water vapor flux using NCEP/NCAR data, existing algorithms from ECMWF data may require modifications. Differences in data formatting and grid size between the two datasets could necessitate adjustments to the algorithms. It is important to consider potential biases in cloud variables and water vapor corrections in ECMWF data, as these may not apply to NCEP/NCAR. Implementing the algorithms directly without adaptation could lead to inaccurate results. Careful evaluation of the datasets is essential for accurate atmospheric water balance assessments.
ablaye
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Hi
I want to estimate divergence of water vapor flux in atmosphere with NCEP/NCAR data
I have the equations for that and i want the algorithms to implement it for NCEP/NCAR data.

I have a paper with algorithms for ECMWF data. Can i take this? or it required new algorithms for my data
 
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Can you describe the differences between the data sets?

You may need to change things related to data formatting or grid size.

I know that ERA has biases in its cloud variables so you may want to be aware if there are any for water vapor that are corrected since ECMWF is more like model data.
 

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