Mohd Aris, Nor Azlan and Luini, Lorenzo and Din, Jafri and Lam, Hong Yin (2013) 1-minute integrated rain rate statistics estimated from Tropical Rainfall Measuring Mission data. IEEE Antennas and Wireless Propagation Letters, 12. pp. 132-135. ISSN 1536-1225
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Abstract
This contribution presents a new model for the prediction of the 1-minute integrated Complementary Cumulative Distribution Function (CCDF) of the rain rate, P(R)1, valid for tropical and equatorial regions (specifically, latitudes ranging from 35°S to 35°N). The proposed model inherits its analytical formulation from the method currently recommended by the International Telecommunication Union – Radiocommunication Sector (ITU-R) for global P(R)1 prediction (Annex 1 of recommendation P.837-6), but it relies on Tropical Rainfall Measuring Mission (TRMM) data, in place of the ERA40 database, for the extraction of the required local meteorological inputs. With respect to the ITU-R model, the proposed model requires a lower number of inputs (2 instead of 3) and, in addition, it shows a better P(R)1 prediction performance when tested against the experimental P(R)1 curves (tropical/equatorial sites) included in the global DBSG3 database of ITU-R.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 1-minute integrated rain rate statistics, Equatorial, Tropical, TRMM, Radiowave propagation |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Electronics and Computer Engineering > Department of Telecommunication Engineering |
| Depositing User: | NOR AZLAN MOHD ARIS |
| Date Deposited: | 23 Jul 2013 07:29 |
| Last Modified: | 03 Aug 2023 12:12 |
| URI: | http://eprints.utem.edu.my/id/eprint/8832 |
| Statistic Details: | View Download Statistic |
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1-Minute Integrated Rain Rate Statistics Estimated from Tropical Rainfall Measuring Mission Data. (deposited 06 Feb 2013 14:23)
- 1-minute integrated rain rate statistics estimated from Tropical Rainfall Measuring Mission data. (deposited 23 Jul 2013 07:29) [Currently Displayed]
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