Filling Missing Climate Data Using Arithmetic mean method, Inverse Distance Weighting method MCMC
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- Опубликовано: 18 сен 2024
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The arithmetic mean is the simplest and most widely used measure of a mean, or average. It simply involves taking the sum of a group of numbers, then dividing that sum by the count of the numbers used in the series.
Inverse distance weighting (IDW) is a type of deterministic method for multivariate interpolation with a known scattered set of points. The assigned values to unknown points are calculated with a weighted average of the values available at the known points.
Multiple Imputation is a Markov chain Monte Carlo technique developed to work out missing data problems.
Conclusion: The advantages of IDW are that it is simple, easy to understand, and efficient. Disadvantages are that it is sensitive to outliers and there is no indication of error.
Well explained! subscribed! ❤❤
This interesting video tutorial and helpful.
Okey thanks❤
Great
Keep it up!
hello, for the IDW method, can i use only one neighbour station? or i must at least have two neighbour stations?
Yes ofcource. The more stations you included the better the result of model approximation.
Is it possible to use the multiple imputation technique when there are no index stations? I mean, if you only have your missing data station and there are no index stations, can you use it?
Yes but the importance of index stations are to minimize error predictions by models.
Interesting topic!
Glad you think so!
Hi, is there a faster way if lets say we have 63 stations and some of them have missing rainfall data?
You have to know/master excel windows application.
@@hydraulicsandhydrologytutorial Thanks for the reply. The dataset is giving me a headache with 63 stns and daily Pr for each stns since 1980. I'll try to see what I can do.
pls help me i have four station data one station has been guaged with full paramters but station in my watershed has no recorded data how can i get the data for my study?
No need to have data of your study area. At least five station is needed with the one necessarily be synoptic station.
@@hydraulicsandhydrologytutorial thanks for your reply , i reuqist again can you add vedeo on double mass curve analysis for station data analysis pls? thank you
very good, how can i connect with you , i have an urgent work to understand
using my gmail address. 🤷♂️
how to know weather the data above or below 10%
By counting the number of data