Estimation of missing data of monthly rainfall in southwestern Colombia using artificial neural networks
The success of many projects linked to the management and planning of water resources depends mainly on the quality of the climatic and hydrological data that is provided. Nevertheless, the missing data are frequently found in hydroclimatic variables due to measuring instrument failures, observation...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2019-10-01
|
Series: | Data in Brief |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340919308728 |