Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Quality control of historical synoptic ME45 data in Kendari Maritime station area using python. |
| Συγγραφείς: |
Purwandari, Kartika1 (AUTHOR) kartika.purwandari@binus.ac.id, Sigalingging, Join W. C.2 (AUTHOR) join.wan.chanlyn@bmkg.go.id |
| Πηγή: |
AIP Conference Proceedings. 2026, Vol. 3336 Issue 1, p1-13. 13p. |
| Θεματικοί όροι: |
*Quality control, *Python programming language, *Data recovery, *Data quality, *Data integrity, *Meteorological observations, *Historical source material |
| Περίληψη: |
Data recovery for synoptic data ME45 is something that must be done to protect the historical data from the possibility of lost data and also increase the quantity of data. In addition to paying attention to the quantity of data, data quality must also be considered to ensure that the data that has been collected is valid data. For this reason, data quality control (QC) is needed, to filter valid data and invalid data (errors). In this paper, the QC method is carried out using the range check and consistency check methods, namely by looking for data threshold values and the relationship between data parameters which is carried out using the Python programming language. Calculation system and data analysis is compiled and built in Python Script. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: |
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