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Mesoscale grid rainfall estimation from AVHRR and GMS data.

Areal rainfall averages derived from rain-gauge observations suffer from limitations not only due to sampling but also because gauges are usually distributed with a spatial bias towards populated areas and against areas with high elevation and slope. For a large river basin, however, heavy rainfall...

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Main Authors: Mansor, Shattri, Mahmud, Ahmad Rodzi, Billa, Lawal
Format: Article
Language:English
English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/23373/1/Mesoscale%20grid%20rainfall%20estimation%20from%20AVHRR%20and%20GMS%20data.pdf
http://psasir.upm.edu.my/id/eprint/23373/
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spelling my.upm.eprints.233732015-10-09T08:23:32Z http://psasir.upm.edu.my/id/eprint/23373/ Mesoscale grid rainfall estimation from AVHRR and GMS data. Mansor, Shattri Mahmud, Ahmad Rodzi Billa, Lawal Areal rainfall averages derived from rain-gauge observations suffer from limitations not only due to sampling but also because gauges are usually distributed with a spatial bias towards populated areas and against areas with high elevation and slope. For a large river basin, however, heavy rainfall in the mountain upstream can result in severe flooding downstream. In this study, cloud-indexing and cloud model-based techniques were applied to Advanced Very High Resolution Radiometer (AVHRR) and Geostationary Meteorological Satellite (GMS) imager data based on the cloud-top brightness temperature (T B) and processed for estimating mesoscale grid rainfall. This study aims to improve and refine rainfall estimation in Malaysian monsoons based on cloud model techniques for operational pre-flood forecasting using readily available near-real-time satellite data such as the National Oceanic and Atmospheric Administration (NOAA)-AVHRR and GMS imager. Rain rates between 3 and 12 mm h−1 were assigned to cloud pixels of hourly coverage AVHRR or GMS data over the Langat Basin area for the duration of the monsoon rainfall event of 27 September to 8 October 2000 in Malaysia. The observed rainfall and quantitative precipitation forecast (QPF) showed an R 2 value of 0.9028, while the observed rainfall run-off (RR; recorded) and its simulated data had an R 2 value of 0.9263 and the QPF run-off and its simulated data had an R 2 value of 0.815. The rainfall estimate was used to simulate the flood event of the catchment. The estimated rainfall over the catchment showed similar flood area coverage to the observed flood event. 2012 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23373/1/Mesoscale%20grid%20rainfall%20estimation%20from%20AVHRR%20and%20GMS%20data.pdf Mansor, Shattri and Mahmud, Ahmad Rodzi and Billa, Lawal (2012) Mesoscale grid rainfall estimation from AVHRR and GMS data. International Journal of Remote Sensing, 33 (9). pp. 2892-2908. ISSN 0143-1161 10.1080/01431161.2011.622808 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Areal rainfall averages derived from rain-gauge observations suffer from limitations not only due to sampling but also because gauges are usually distributed with a spatial bias towards populated areas and against areas with high elevation and slope. For a large river basin, however, heavy rainfall in the mountain upstream can result in severe flooding downstream. In this study, cloud-indexing and cloud model-based techniques were applied to Advanced Very High Resolution Radiometer (AVHRR) and Geostationary Meteorological Satellite (GMS) imager data based on the cloud-top brightness temperature (T B) and processed for estimating mesoscale grid rainfall. This study aims to improve and refine rainfall estimation in Malaysian monsoons based on cloud model techniques for operational pre-flood forecasting using readily available near-real-time satellite data such as the National Oceanic and Atmospheric Administration (NOAA)-AVHRR and GMS imager. Rain rates between 3 and 12 mm h−1 were assigned to cloud pixels of hourly coverage AVHRR or GMS data over the Langat Basin area for the duration of the monsoon rainfall event of 27 September to 8 October 2000 in Malaysia. The observed rainfall and quantitative precipitation forecast (QPF) showed an R 2 value of 0.9028, while the observed rainfall run-off (RR; recorded) and its simulated data had an R 2 value of 0.9263 and the QPF run-off and its simulated data had an R 2 value of 0.815. The rainfall estimate was used to simulate the flood event of the catchment. The estimated rainfall over the catchment showed similar flood area coverage to the observed flood event.
format Article
author Mansor, Shattri
Mahmud, Ahmad Rodzi
Billa, Lawal
spellingShingle Mansor, Shattri
Mahmud, Ahmad Rodzi
Billa, Lawal
Mesoscale grid rainfall estimation from AVHRR and GMS data.
author_facet Mansor, Shattri
Mahmud, Ahmad Rodzi
Billa, Lawal
author_sort Mansor, Shattri
title Mesoscale grid rainfall estimation from AVHRR and GMS data.
title_short Mesoscale grid rainfall estimation from AVHRR and GMS data.
title_full Mesoscale grid rainfall estimation from AVHRR and GMS data.
title_fullStr Mesoscale grid rainfall estimation from AVHRR and GMS data.
title_full_unstemmed Mesoscale grid rainfall estimation from AVHRR and GMS data.
title_sort mesoscale grid rainfall estimation from avhrr and gms data.
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/23373/1/Mesoscale%20grid%20rainfall%20estimation%20from%20AVHRR%20and%20GMS%20data.pdf
http://psasir.upm.edu.my/id/eprint/23373/
_version_ 1643828038882820096
score 13.211869

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