Calculate tidal height using CSV file

[q1165600785]

Hello author, there are many options and settings for calculating tidal height. I want to use the position of the boundary point in CSV to calculate the monthly water level height, but I am not sure how CSV should be done correctly. Can you provide an example, author

[tsutterley]

hey @q1165600785, you're right the options have gotten a bit overwhelming. I definitely need to work on the documentation as highlighted in #354. Particularly for people that are just getting started.

I'm trying to understand your use case. Are you wanting the average monthly tide height, or the height at a given date during the month? Is this at a singular location or does it drift?

[q1165600785]

Hello, researcher，Hello, researcher, I uploaded two attachments, the latitude and longitude coordinates are the same, one is in MJD time format, the other is in python datetime format, my use case is a time series with an interval of one month per hour at each point of the ocean opening boundary, I tried to run it using pytmd, but it ended up with an error, and it ran very slowly, I found that utide python ran very fast, but I didn't get the correct result, I want to try using pytmd
jb_mjd_test01.csv
jb_test02_datatime.csv

[tsutterley]

Is there a specific model you are wanting to use? For ocean tides, pyTMD uses constants from published models.

I think the basic syntax for your case should be:

compute_tidal_elevations.py --directory <path_to_tide_models> \
  --tide <tide_model_to_use> --crop --type drift \
  --format csv --header 1 --variables y x time --standard datetime \
  --infer-minor -VV jb_test02_datatime.csv

[q1165600785]

您想要使用特定模型吗？对于海洋潮汐，pyTMD 使用已发布模型中的常量。

我认为你的情况的基本语法应该是：

compute_tidal_elevations.py --directory <path_to_tide_models> \
  --tide <tide_model_to_use> --crop --type drift \
  --format csv --header 1 --variables y x time --standard datetime \
  --infer-minor -VV jb_test02_datatime.csv

Thank you for providing the demonstration reference. I will try running it using fes2022 or tpox10 to see what results will be obtained