2022
DOI: 10.3390/w14111699
|View full text |Cite
|
Sign up to set email alerts
|

Remote Sensing for Development of Rainfall Intensity–Duration–Frequency Curves at Ungauged Locations of Yangon, Myanmar

Abstract: This study aims to develop the intensity–duration–frequency (IDF) curves for Yangon, the economic center of Myanmar, using four satellite precipitation datasets, namely GPM IMERG, TRMM, GSMaP_NRT, and GSMaP_GC. Different probability distribution functions were used to fit the annual rainfall maximum series to determine the best-fit distribution. The estimated parameters of the best-fit distribution were used to fit the rainfall intensities of 2, 5, 10, 25, 50, and 100-year return periods for generating IDF cur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 50 publications
0
2
0
Order By: Relevance
“…ERA5 has high intraseasonal correlations with 79 observation station data with 90% significant level (Figure 5). The temporal resolution of the study is from 1981 to 2020 for climatology and 2021 to 2099 for future projection and only focuses on major rainfall season (JJA) (well-known as "global summer"), due to the high hazard frequency distribution [50,51].…”
Section: Observation Datamentioning
confidence: 99%
“…ERA5 has high intraseasonal correlations with 79 observation station data with 90% significant level (Figure 5). The temporal resolution of the study is from 1981 to 2020 for climatology and 2021 to 2099 for future projection and only focuses on major rainfall season (JJA) (well-known as "global summer"), due to the high hazard frequency distribution [50,51].…”
Section: Observation Datamentioning
confidence: 99%
“…5). The temporal resolution of the study is from 1981 to 2020 for climatology and 2021 to 2099 for future projection, and only focuses on major rainfall season (JJA) (well-known as "Global summer"), due to the high hazard frequency distribution [51], [52].…”
Section: Observation Datamentioning
confidence: 99%