Advances in Meteorology / 2019 / Article / Tab 2

Research Article

Assessing the Applicability of Random Forest, Stochastic Gradient Boosted Model, and Extreme Learning Machine Methods to the Quantitative Precipitation Estimation of the Radar Data: A Case Study to Gwangdeoksan Radar, South Korea, in 2018

Table 2

Precipitation events selected based on observed rainfall data from Seoul station.

No.Periods of precipitation eventsTotal (mm)Mean (mm/h)Standard deviation (mm/h)

12018.08.28. 11 : 50–2018.08.29. 22 : 20138.54.011.9
22018.09.03. 08 : 50–2018.09.03. 21 : 3034.52.75.8
32018.10.05. 08 : 20–2018.10.06. 12 : 2092.03.33.3
42018.11.08. 01 : 30–2018.11.08. 23 : 4064.02.83.5

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.