Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco

Rachid Hadria; Abdelghani Boudhar; Hamza Ouatiki; Youssef Lebrini; Loubna Elmansouri; Fouad Gadouali; Hayat Lionboui Hayat Lionboui; Tarik Benabdelouahab

doi:doi:10.11648/j.ajrs.20190702.11

Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco

Rachid Hadria, Abdelghani Boudhar, Hamza Ouatiki, Youssef Lebrini, Loubna Elmansouri, Fouad Gadouali, Hayat Lionboui Hayat Lionboui, Tarik Benabdelouahab

Published in American Journal of Remote Sensing (Volume 7, Issue 2)

Received: 31 August 2019 Accepted: 25 September 2019 Published: 10 October 2019

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Abstract

The monitoring of drought statewide is a difficult issue especially when the national network of meteorological stations is sparse or do not cover the entire country. In this paper, rainfall satellite estimates derived from Tropical Rainfall Measuring Mission (TRMM) product have been used to evaluate the ability of remote sensing data to study the trends of annual precipitation in Morocco between 1998 and 2012. The standardized precipitation index, SPI, has been chosen to monitor meteorological drought in Morocco. Firstly, the accuracy of TRMM product to estimate annual rainfall was evaluated. Annual precipitations derived from 5113 daily TRMM data were compared to the corresponding rainfall measurements from 23 rain gauges. The results showed a general good linear relationship between TRMM and rain gauges data. When considering annual record, the Pearson correlation coefficient, R², was equal to 0.73 and the root mean square error, RMSE, was equal to 159.8mm/year. The correlation between rain gauge measurements and TRMM rainfall had been clearly improved when working with long-term annual average precipitation. The R² increased to 0.79 and the RMSE decreased to 115,2mm. Secondly, the Mann-kendall tau coefficient, the Theil Sen slope and the contextual Mann-Kendall significance were used to analyze the SPI trends over Morocco. This analysis showed that mainly two regions appeared to be subject of significant trends during the studied period: The extreme north eastern of Morocco manifests a positive SPI trends and is more and more subject of extreme rainfall while the extreme south of the country is suffering from a decrease of annual precipitation which could represent significant socio-economic risks in these areas.

Published in	American Journal of Remote Sensing (Volume 7, Issue 2)
DOI	10.11648/j.ajrs.20190702.11
Page(s)	25-34
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), 2019. Published by Science Publishing Group

Keywords

Precipitation, Meteorological Drought, SPI, TRMM, Morocco

References

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Rachid Hadria, Abdelghani Boudhar, Hamza Ouatiki, Youssef Lebrini, Loubna Elmansouri, et al. (2019). Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco. American Journal of Remote Sensing, 7(2), 25-34. https://doi.org/10.11648/j.ajrs.20190702.11

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ACS Style

Rachid Hadria; Abdelghani Boudhar; Hamza Ouatiki; Youssef Lebrini; Loubna Elmansouri, et al. Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco. Am. J. Remote Sens. 2019, 7(2), 25-34. doi: 10.11648/j.ajrs.20190702.11

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AMA Style

Rachid Hadria, Abdelghani Boudhar, Hamza Ouatiki, Youssef Lebrini, Loubna Elmansouri, et al. Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco. Am J Remote Sens. 2019;7(2):25-34. doi: 10.11648/j.ajrs.20190702.11

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@article{10.11648/j.ajrs.20190702.11,
  author = {Rachid Hadria and Abdelghani Boudhar and Hamza Ouatiki and Youssef Lebrini and Loubna Elmansouri and Fouad Gadouali and Hayat Lionboui Hayat Lionboui and Tarik Benabdelouahab},
  title = {Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco},
  journal = {American Journal of Remote Sensing},
  volume = {7},
  number = {2},
  pages = {25-34},
  doi = {10.11648/j.ajrs.20190702.11},
  url = {https://doi.org/10.11648/j.ajrs.20190702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20190702.11},
  abstract = {The monitoring of drought statewide is a difficult issue especially when the national network of meteorological stations is sparse or do not cover the entire country. In this paper, rainfall satellite estimates derived from Tropical Rainfall Measuring Mission (TRMM) product have been used to evaluate the ability of remote sensing data to study the trends of annual precipitation in Morocco between 1998 and 2012. The standardized precipitation index, SPI, has been chosen to monitor meteorological drought in Morocco. Firstly, the accuracy of TRMM product to estimate annual rainfall was evaluated. Annual precipitations derived from 5113 daily TRMM data were compared to the corresponding rainfall measurements from 23 rain gauges. The results showed a general good linear relationship between TRMM and rain gauges data. When considering annual record, the Pearson correlation coefficient, R², was equal to 0.73 and the root mean square error, RMSE, was equal to 159.8mm/year. The correlation between rain gauge measurements and TRMM rainfall had been clearly improved when working with long-term annual average precipitation. The R² increased to 0.79 and the RMSE decreased to 115,2mm. Secondly, the Mann-kendall tau coefficient, the Theil Sen slope and the contextual Mann-Kendall significance were used to analyze the SPI trends over Morocco. This analysis showed that mainly two regions appeared to be subject of significant trends during the studied period: The extreme north eastern of Morocco manifests a positive SPI trends and is more and more subject of extreme rainfall while the extreme south of the country is suffering from a decrease of annual precipitation which could represent significant socio-economic risks in these areas.},
 year = {2019}
}

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TY  - JOUR
T1  - Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco
AU  - Rachid Hadria
AU  - Abdelghani Boudhar
AU  - Hamza Ouatiki
AU  - Youssef Lebrini
AU  - Loubna Elmansouri
AU  - Fouad Gadouali
AU  - Hayat Lionboui Hayat Lionboui
AU  - Tarik Benabdelouahab
Y1  - 2019/10/10
PY  - 2019
N1  - https://doi.org/10.11648/j.ajrs.20190702.11
DO  - 10.11648/j.ajrs.20190702.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 25
EP  - 34
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20190702.11
AB  - The monitoring of drought statewide is a difficult issue especially when the national network of meteorological stations is sparse or do not cover the entire country. In this paper, rainfall satellite estimates derived from Tropical Rainfall Measuring Mission (TRMM) product have been used to evaluate the ability of remote sensing data to study the trends of annual precipitation in Morocco between 1998 and 2012. The standardized precipitation index, SPI, has been chosen to monitor meteorological drought in Morocco. Firstly, the accuracy of TRMM product to estimate annual rainfall was evaluated. Annual precipitations derived from 5113 daily TRMM data were compared to the corresponding rainfall measurements from 23 rain gauges. The results showed a general good linear relationship between TRMM and rain gauges data. When considering annual record, the Pearson correlation coefficient, R², was equal to 0.73 and the root mean square error, RMSE, was equal to 159.8mm/year. The correlation between rain gauge measurements and TRMM rainfall had been clearly improved when working with long-term annual average precipitation. The R² increased to 0.79 and the RMSE decreased to 115,2mm. Secondly, the Mann-kendall tau coefficient, the Theil Sen slope and the contextual Mann-Kendall significance were used to analyze the SPI trends over Morocco. This analysis showed that mainly two regions appeared to be subject of significant trends during the studied period: The extreme north eastern of Morocco manifests a positive SPI trends and is more and more subject of extreme rainfall while the extreme south of the country is suffering from a decrease of annual precipitation which could represent significant socio-economic risks in these areas.
VL  - 7
IS  - 2
ER  -

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Author Information

Rachid Hadria

Department of Environment and Natural Resources, National Institute of Agronomic Research, Rabat, Morocco
Abdelghani Boudhar

Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco
Hamza Ouatiki

Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco
Youssef Lebrini

Faculty of Sciences and Technology, Sultan Moulay Slimane University, Beni Mellal, Morocco
Loubna Elmansouri

Department of Topography, Hassan II Institute of Agronomy and Veterinary, Rabat, Morocco
Fouad Gadouali

East-central Regional Direction, National Meteorological Office, Beni Mellal, Morocco
Hayat Lionboui Hayat Lionboui

Department of Environment and Natural Resources, National Institute of Agronomic Research, Rabat, Morocco
Tarik Benabdelouahab

Department of Environment and Natural Resources, National Institute of Agronomic Research, Rabat, Morocco

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APA Style

Rachid Hadria, Abdelghani Boudhar, Hamza Ouatiki, Youssef Lebrini, Loubna Elmansouri, et al. (2019). Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco. American Journal of Remote Sensing, 7(2), 25-34. https://doi.org/10.11648/j.ajrs.20190702.11

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ACS Style

Rachid Hadria; Abdelghani Boudhar; Hamza Ouatiki; Youssef Lebrini; Loubna Elmansouri, et al. Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco. Am. J. Remote Sens. 2019, 7(2), 25-34. doi: 10.11648/j.ajrs.20190702.11

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AMA Style

Rachid Hadria, Abdelghani Boudhar, Hamza Ouatiki, Youssef Lebrini, Loubna Elmansouri, et al. Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco. Am J Remote Sens. 2019;7(2):25-34. doi: 10.11648/j.ajrs.20190702.11

Copy | Download

@article{10.11648/j.ajrs.20190702.11,
  author = {Rachid Hadria and Abdelghani Boudhar and Hamza Ouatiki and Youssef Lebrini and Loubna Elmansouri and Fouad Gadouali and Hayat Lionboui Hayat Lionboui and Tarik Benabdelouahab},
  title = {Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco},
  journal = {American Journal of Remote Sensing},
  volume = {7},
  number = {2},
  pages = {25-34},
  doi = {10.11648/j.ajrs.20190702.11},
  url = {https://doi.org/10.11648/j.ajrs.20190702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20190702.11},
  abstract = {The monitoring of drought statewide is a difficult issue especially when the national network of meteorological stations is sparse or do not cover the entire country. In this paper, rainfall satellite estimates derived from Tropical Rainfall Measuring Mission (TRMM) product have been used to evaluate the ability of remote sensing data to study the trends of annual precipitation in Morocco between 1998 and 2012. The standardized precipitation index, SPI, has been chosen to monitor meteorological drought in Morocco. Firstly, the accuracy of TRMM product to estimate annual rainfall was evaluated. Annual precipitations derived from 5113 daily TRMM data were compared to the corresponding rainfall measurements from 23 rain gauges. The results showed a general good linear relationship between TRMM and rain gauges data. When considering annual record, the Pearson correlation coefficient, R², was equal to 0.73 and the root mean square error, RMSE, was equal to 159.8mm/year. The correlation between rain gauge measurements and TRMM rainfall had been clearly improved when working with long-term annual average precipitation. The R² increased to 0.79 and the RMSE decreased to 115,2mm. Secondly, the Mann-kendall tau coefficient, the Theil Sen slope and the contextual Mann-Kendall significance were used to analyze the SPI trends over Morocco. This analysis showed that mainly two regions appeared to be subject of significant trends during the studied period: The extreme north eastern of Morocco manifests a positive SPI trends and is more and more subject of extreme rainfall while the extreme south of the country is suffering from a decrease of annual precipitation which could represent significant socio-economic risks in these areas.},
 year = {2019}
}

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TY  - JOUR
T1  - Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco
AU  - Rachid Hadria
AU  - Abdelghani Boudhar
AU  - Hamza Ouatiki
AU  - Youssef Lebrini
AU  - Loubna Elmansouri
AU  - Fouad Gadouali
AU  - Hayat Lionboui Hayat Lionboui
AU  - Tarik Benabdelouahab
Y1  - 2019/10/10
PY  - 2019
N1  - https://doi.org/10.11648/j.ajrs.20190702.11
DO  - 10.11648/j.ajrs.20190702.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 25
EP  - 34
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20190702.11
AB  - The monitoring of drought statewide is a difficult issue especially when the national network of meteorological stations is sparse or do not cover the entire country. In this paper, rainfall satellite estimates derived from Tropical Rainfall Measuring Mission (TRMM) product have been used to evaluate the ability of remote sensing data to study the trends of annual precipitation in Morocco between 1998 and 2012. The standardized precipitation index, SPI, has been chosen to monitor meteorological drought in Morocco. Firstly, the accuracy of TRMM product to estimate annual rainfall was evaluated. Annual precipitations derived from 5113 daily TRMM data were compared to the corresponding rainfall measurements from 23 rain gauges. The results showed a general good linear relationship between TRMM and rain gauges data. When considering annual record, the Pearson correlation coefficient, R², was equal to 0.73 and the root mean square error, RMSE, was equal to 159.8mm/year. The correlation between rain gauge measurements and TRMM rainfall had been clearly improved when working with long-term annual average precipitation. The R² increased to 0.79 and the RMSE decreased to 115,2mm. Secondly, the Mann-kendall tau coefficient, the Theil Sen slope and the contextual Mann-Kendall significance were used to analyze the SPI trends over Morocco. This analysis showed that mainly two regions appeared to be subject of significant trends during the studied period: The extreme north eastern of Morocco manifests a positive SPI trends and is more and more subject of extreme rainfall while the extreme south of the country is suffering from a decrease of annual precipitation which could represent significant socio-economic risks in these areas.
VL  - 7
IS  - 2
ER  -

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