1-minute integrated rain rate statistics estimated from Tropical Rainfall Measuring Mission data
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 analytica...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE Antennas and Wireless Propagation Letters
2013
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/8832/1/1-Minute_Integrated_Rain_Rate_Statistics_Estimated_from_Tropical_Rainfall_Measuring_Mission_Data.pdf http://eprints.utem.edu.my/id/eprint/8832/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6420864 |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |
| Summary: | 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. |
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