Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran

Javad Bodagh Jamli

doi:doi:10.11648/j.earth.20150405.11

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Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran

Javad Bodagh Jamli

Published in Earth Sciences (Volume 4, Issue 5)

Received: 6 May 2015 Accepted: 18 May 2015 Published: 6 September 2015

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Abstract

Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran. Because the density of spatial distribution of rain-gauges is not uniform throughout the country, satellite sensor technology is considered useful for precipitation monitoring over the study area. In this study, PERSIANN satellite-based rainfall data were validated through comparison with the APHRODITE surface-based precipitation data. The validation was carried out for annual and seasonal precipitation, as well as an inter-annual comparison. Our analysis was based on a visual comparison and a statistical approach, including linear regression and spatial correlation between APHRODITE and PERSIANN datasets for each 0.25°×0.25° grid cell in the entire country, in the Caspian Sea region, and in the Zagros Mountains, indicating spatial correlation coefficients of 0.62, 0.62, 0.47, respectively. Both APHRODITE data and PERSIANN data showed that spatial distribution of mean annual and seasonal precipitation over Iran has two main patterns: along the Caspian Sea and along the Zagros Mountain chain. In general, PERSIANN underestimates high rainfall rates by 5.5 mm/day in winter but overestimates the low rainfalls in annual and seasonal scales by 0.9 mm/day in summer.

Published in	Earth Sciences (Volume 4, Issue 5)
DOI	10.11648/j.earth.20150405.11
Page(s)	150-160
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Precipitation Validation, Satellite Data, PERSIANN, APHRODITE, Iran, Gridded Data

References

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APA Style

Javad Bodagh Jamli. (2015). Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran. Earth Sciences, 4(5), 150-160. https://doi.org/10.11648/j.earth.20150405.11

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ACS Style

Javad Bodagh Jamli. Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran. Earth Sci. 2015, 4(5), 150-160. doi: 10.11648/j.earth.20150405.11

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AMA Style

Javad Bodagh Jamli. Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran. Earth Sci. 2015;4(5):150-160. doi: 10.11648/j.earth.20150405.11

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@article{10.11648/j.earth.20150405.11,
  author = {Javad Bodagh Jamli},
  title = {Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran},
  journal = {Earth Sciences},
  volume = {4},
  number = {5},
  pages = {150-160},
  doi = {10.11648/j.earth.20150405.11},
  url = {https://doi.org/10.11648/j.earth.20150405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20150405.11},
  abstract = {Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran. Because the density of spatial distribution of rain-gauges is not uniform throughout the country, satellite sensor technology is considered useful for precipitation monitoring over the study area. In this study, PERSIANN satellite-based rainfall data were validated through comparison with the APHRODITE surface-based precipitation data. The validation was carried out for annual and seasonal precipitation, as well as an inter-annual comparison. Our analysis was based on a visual comparison and a statistical approach, including linear regression and spatial correlation between APHRODITE and PERSIANN datasets for each 0.25°×0.25° grid cell in the entire country, in the Caspian Sea region, and in the Zagros Mountains, indicating spatial correlation coefficients of 0.62, 0.62, 0.47, respectively. Both APHRODITE data and PERSIANN data showed that spatial distribution of mean annual and seasonal precipitation over Iran has two main patterns: along the Caspian Sea and along the Zagros Mountain chain. In general, PERSIANN underestimates high rainfall rates by 5.5 mm/day in winter but overestimates the low rainfalls in annual and seasonal scales by 0.9 mm/day in summer.},
 year = {2015}
}

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TY  - JOUR
T1  - Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran
AU  - Javad Bodagh Jamli
Y1  - 2015/09/06
PY  - 2015
N1  - https://doi.org/10.11648/j.earth.20150405.11
DO  - 10.11648/j.earth.20150405.11
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 150
EP  - 160
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20150405.11
AB  - Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran. Because the density of spatial distribution of rain-gauges is not uniform throughout the country, satellite sensor technology is considered useful for precipitation monitoring over the study area. In this study, PERSIANN satellite-based rainfall data were validated through comparison with the APHRODITE surface-based precipitation data. The validation was carried out for annual and seasonal precipitation, as well as an inter-annual comparison. Our analysis was based on a visual comparison and a statistical approach, including linear regression and spatial correlation between APHRODITE and PERSIANN datasets for each 0.25°×0.25° grid cell in the entire country, in the Caspian Sea region, and in the Zagros Mountains, indicating spatial correlation coefficients of 0.62, 0.62, 0.47, respectively. Both APHRODITE data and PERSIANN data showed that spatial distribution of mean annual and seasonal precipitation over Iran has two main patterns: along the Caspian Sea and along the Zagros Mountain chain. In general, PERSIANN underestimates high rainfall rates by 5.5 mm/day in winter but overestimates the low rainfalls in annual and seasonal scales by 0.9 mm/day in summer.
VL  - 4
IS  - 5
ER  -

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Author Information

Javad Bodagh Jamli

The Environmental Engineering Faculty, the University of Environment, Karaj, Iran

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Plain Text BibTeX RIS

APA Style

Javad Bodagh Jamli. (2015). Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran. Earth Sciences, 4(5), 150-160. https://doi.org/10.11648/j.earth.20150405.11

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ACS Style

Javad Bodagh Jamli. Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran. Earth Sci. 2015, 4(5), 150-160. doi: 10.11648/j.earth.20150405.11

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AMA Style

Javad Bodagh Jamli. Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran. Earth Sci. 2015;4(5):150-160. doi: 10.11648/j.earth.20150405.11

Copy | Download

@article{10.11648/j.earth.20150405.11,
  author = {Javad Bodagh Jamli},
  title = {Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran},
  journal = {Earth Sciences},
  volume = {4},
  number = {5},
  pages = {150-160},
  doi = {10.11648/j.earth.20150405.11},
  url = {https://doi.org/10.11648/j.earth.20150405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20150405.11},
  abstract = {Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran. Because the density of spatial distribution of rain-gauges is not uniform throughout the country, satellite sensor technology is considered useful for precipitation monitoring over the study area. In this study, PERSIANN satellite-based rainfall data were validated through comparison with the APHRODITE surface-based precipitation data. The validation was carried out for annual and seasonal precipitation, as well as an inter-annual comparison. Our analysis was based on a visual comparison and a statistical approach, including linear regression and spatial correlation between APHRODITE and PERSIANN datasets for each 0.25°×0.25° grid cell in the entire country, in the Caspian Sea region, and in the Zagros Mountains, indicating spatial correlation coefficients of 0.62, 0.62, 0.47, respectively. Both APHRODITE data and PERSIANN data showed that spatial distribution of mean annual and seasonal precipitation over Iran has two main patterns: along the Caspian Sea and along the Zagros Mountain chain. In general, PERSIANN underestimates high rainfall rates by 5.5 mm/day in winter but overestimates the low rainfalls in annual and seasonal scales by 0.9 mm/day in summer.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran
AU  - Javad Bodagh Jamli
Y1  - 2015/09/06
PY  - 2015
N1  - https://doi.org/10.11648/j.earth.20150405.11
DO  - 10.11648/j.earth.20150405.11
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 150
EP  - 160
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20150405.11
AB  - Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran. Because the density of spatial distribution of rain-gauges is not uniform throughout the country, satellite sensor technology is considered useful for precipitation monitoring over the study area. In this study, PERSIANN satellite-based rainfall data were validated through comparison with the APHRODITE surface-based precipitation data. The validation was carried out for annual and seasonal precipitation, as well as an inter-annual comparison. Our analysis was based on a visual comparison and a statistical approach, including linear regression and spatial correlation between APHRODITE and PERSIANN datasets for each 0.25°×0.25° grid cell in the entire country, in the Caspian Sea region, and in the Zagros Mountains, indicating spatial correlation coefficients of 0.62, 0.62, 0.47, respectively. Both APHRODITE data and PERSIANN data showed that spatial distribution of mean annual and seasonal precipitation over Iran has two main patterns: along the Caspian Sea and along the Zagros Mountain chain. In general, PERSIANN underestimates high rainfall rates by 5.5 mm/day in winter but overestimates the low rainfalls in annual and seasonal scales by 0.9 mm/day in summer.
VL  - 4
IS  - 5
ER  -

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