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 analyti...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE Antennas and Propagation Society
2013
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/6652/1/1-Minute_Integrated_Rain_Rate_Statistics_Estimated_from_Tropical_Rainfall_Measuring_Mission_Data.pdf http://eprints.utem.edu.my/id/eprint/6652/ http://ieeexplore.ieee.org/servlet/opac?punumber=7727 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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. |
|---|