Comparison of Multi-satellite Rainfall Data in Runoff Model
Lecture Notes in Civil Engineering, ISSN: 2366-2565, Vol: 386, Page: 697-705
2024
- 3Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures3
- Readers3
Conference Paper Description
This research was performed to analyze the Global Precipitation Measurement (GPM) 3IMERGHHE and the Tropical Rainfall Measuring Mission (TRMM) 3B42RT in a direct runoff model. The area studied was in Gendol River watershed in Indonesia between February 19th, 2017, and February 26th, 2017. The observed rainfall based on Automatic Rainfall Recorder (ARR) and observed water level based on Automatic Water Level Recorder (AWLR) are used to calibrate the excess rainfall by using the phi index method. The results showed that satellite data could describe rainfall spatially. The TRMM 3B42RT data distinctly propagated to streamflow simulations with a significant magnitude of peak flow. The correction of the satellite rainfall data effectively improved the direct runoff model. In general, the GPM 3IMERGHHE is more feasible compared to TRMM 3B42RT.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85181984236&origin=inward; http://dx.doi.org/10.1007/978-981-99-6026-2_51; https://link.springer.com/10.1007/978-981-99-6026-2_51; https://dx.doi.org/10.1007/978-981-99-6026-2_51; https://link.springer.com/chapter/10.1007/978-981-99-6026-2_51
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know