Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco
American Journal of Remote Sensing
Volume 7, Issue 2, December 2019, Pages: 25-34
Received: Aug. 31, 2019;
Accepted: Sep. 25, 2019;
Published: Oct. 10, 2019
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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; Center for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University, Ben Guerir, 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
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.
Hayat Lionboui Hayat Lionboui,
Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco, American Journal of Remote Sensing.
Vol. 7, No. 2,
2019, pp. 25-34.
Olukayode Oladipo, E. (1985). A comparative performance analysis of three meteorological drought indices. Journal of Climatology 5, 655-664.
Wilhite, D. A. and M. H. Glantz (1985). Understanding: the Drought Phenomenon: The Role of Definitions. Water International 10, 111-120.
Schilling, J., K. P. Freier, E. Hertig, and J. Scheffran (2012). Climate change, vulnerability and adaptation in North Africa with focus on Morocco. Agriculture, Ecosystems & Environment 156, 12-26.
Merino, A., L. López, L. Hermida, J. L. Sánchez, E. García-Ortega, E. Gascón, and S. Fernández-González (2015). Identification of drought phases in a 110-year record from Western Mediterranean basin: Trends, anomalies and periodicity analysis for Iberian Peninsula. Global and Planetary Change 133, 96-108.
Mishra, A. K. and V. P. Singh (2010). A review of drought concepts. Journal of Hydrology 391, 202-216.
Hsu, K.-l., X. Gao, S. Sorooshian, and H. V. Gupta (1997). Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks. Journal of Applied Meteorology 36, 1176-1190.
Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie (2004). CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution. Journal of Hydrometeorology 5, 487-503.
Kummerow, C., W. Barnes, T. Kozu, J. Shiue, and J. Simpson (1998). The Tropical Rainfall Measuring Mission (TRMM) Sensor Package. Journal of Atmospheric and Oceanic Technology 15, 809-817.
Su, F., Y. Hong, and D. P. Lettenmaier (2008). Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) and Its Utility in Hydrologic Prediction in the La Plata Basin. Journal of Hydrometeorology 9, 622-640.
Gu, H.-h., Z.-b. Yu, C.-g. Yang, Q. Ju, B.-h. Lu, and C. Liang (2010). Hydrological assessment of TRMM rainfall data over Yangtze River Basin. Water Science and Engineering 3, 418-430.
Arvor D., Dubreuil V., Ronchail J., and P. S. (2008). Apport des données TRMM 3B42 à l’étude des précipitations au Mato Grosso. Climatologie 5, 49-69.
Di Paola, F., E. Ricciardelli, D. Cimini, F. Romano, M. Viggiano, and V. Cuomo (2014). Analysis of Catania Flash Flood Case Study by Using Combined Microwave and Infrared Technique. Journal of Hydrometeorology 15, 1989-1998.
Li, L., Y. Hong, J. Wang, R. F. Adler, F. S. Policelli, S. Habib, D. Irwn, T. Korme, and L. Okello (2009). Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia Basin, Lake Victoria, Africa. Natural Hazards 50, 109-123.
Moffitt, C. B., F. Hossain, R. F. Adler, K. K. Yilmaz, and H. F. Pierce (2011). Validation of a TRMM-based global Flood Detection System in Bangladesh. International Journal of Applied Earth Observation and Geoinformation 13, 165-177.
Zhang, A. and G. Jia (2013). Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data. Remote Sensing of Environment 134, 12-23.
Du, L., Q. Tian, T. Yu, Q. Meng, T. Jancso, P. Udvardy, and Y. Huang (2013). A comprehensive drought monitoring method integrating MODIS and TRMM data. International Journal of Applied Earth Observation and Geoinformation 23, 245-253.
Yaduvanshi, A., P. K. Srivastava, and A. C. Pandey (2015). Integrating TRMM and MODIS satellite with socio-economic vulnerability for monitoring drought risk over a tropical region of India. Physics and Chemistry of the Earth, Parts A/B/C 83, 14-27.
Brown, J. E. M. (2006). An analysis of the performance of hybrid infrared and microwave satellite precipitation algorithms over India and adjacent regions. Remote Sensing of Environment 101, 63-81.
Dinku, T., S. Chidzambwa, P. Ceccato, S. J. Connor, and C. F. Ropelewski (2008). Validation of high-resolution satellite rainfall products over complex terrain. International Journal of Remote Sensing 29, 4097-4110.
Baik, J. and M. Choi (2015). Spatio-temporal variability of remotely sensed precipitation data from COMS and TRMM: Case study of Korean peninsula in East Asia. Advances in Space Research 56, 1125-1138.
Blacutt, L. A., D. L. Herdies, L. G. G. de Gonçalves, D. A. Vila, and M. Andrade (2015). Precipitation comparison for the CFSR, MERRA, TRMM3B42 and Combined Scheme datasets in Bolivia. Atmospheric Research 163, 117-131.
Almazroui, M. (2011). Calibration of TRMM rainfall climatology over Saudi Arabia during 1998–2009. Atmospheric Research 99, 400-414.
Mantas, V. M., Z. Liu, C. Caro, and A. J. S. C. Pereira (2015). Validation of TRMM multi-satellite precipitation analysis (TMPA) products in the Peruvian Andes. Atmospheric Research 163, 132-145.
Collischonn, B., W. Collischonn, and C. E. M. Tucci (2008). Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates. Journal of Hydrology 360, 207-216.
Islam, M. N. and H. Uyeda (2007). Use of TRMM in determining the climatic characteristics of rainfall over Bangladesh. Remote Sensing of Environment 108, 264-276.
Huang, Y., S. Chen, Q. Cao, Y. Hong, B. Wu, M. Huang, L. Qiao, Z. Zhang, Z. Li, W. Li, and X. Yang (2014). Evaluation of Version-7 TRMM Multi-Satellite Precipitation Analysis Product during the Beijing Extreme Heavy Rainfall Event of 21 July 2012. Water 6, 32.
Milewski, A., R. Elkadiri, and M. Durham (2015). Assessment and Comparison of TMPA Satellite Precipitation Products in Varying Climatic and Topographic Regimes in Morocco. Remote Sensing 7, 5697.
Tramblay, Y., V. Thiemig, A. Dezetter, and L. Hanich (2016). Evaluation of satellite-based rainfall products for hydrological modelling in Morocco. Hydrological Sciences Journal 61, 2509-2519.
Ouatiki, H., A. Boudhar, Y. Tramblay, L. Jarlan, T. Benabdelouhab, L. Hanich, M. El Meslouhi, and A. Chehbouni (2017). Evaluation of TRMM 3B42 V7 Rainfall Product over the Oum Er Rbia Watershed in Morocco. Climate 5, 1.
Gadouali, F. and M. Messoulli (2018). Evaluation of multiple satellite-derived rainfall products over Morocco. International Journal of Hydrology Science and Technology. (in press).
McKee, T. B. (1993). The Relationship of Drought Frequency and Duration of Time Scales. Eighth Conference on Applied Climatology, January, Anaheim, California, 1993 17-22.
Fjelde, H. and N. von Uexkull (2012). Climate triggers: Rainfall anomalies, vulnerability and communal conflict in Sub-Saharan Africa. Political Geography 31, 444-453.
Ezzine, H., A. Bouziane, and D. Ouazar (2014). Seasonal comparisons of meteorological and agricultural drought indices in Morocco using open short time-series data. International Journal of Applied Earth Observation and Geoinformation 26, 36-48.
Hayes, M., M. Svoboda, N. Wall, and M. Widhalm (2011). The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index Recommended. Bulletin of the American Meteorological Society 92, 485-488.
Balaghi, R., M. Jlibene, B. Tychon, and H. Eerens, Agrometeorological cereal yield forecasting in Morocco. 2013 ed. 2013, National Institute of Agronomic Research (INRA): Devision of information and communication (INRA). 157.
Knippertz, P., M. Christoph, and P. Speth (2003). Long-term precipitation variability in Morocco and the link to the large-scale circulation in recent and future climates. Meteorology and Atmospheric Physics 83, 67-88.
Huffman, G. J., D. T. Bolvin, E. J. Nelkin, D. B. Wolff, R. F. Adler, G. Gu, Y. Hong, K. P. Bowman, and E. F. Stocker (2007). The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales. Journal of Hydrometeorology 8, 38-55.
Carr, N., P.-E. Kirstetter, Y. Hong, J. J. Gourley, M. Schwaller, W. Petersen, N.-Y. Wang, R. R. Ferraro, and X. Xue (2015). The Influence of Surface and Precipitation Characteristics on TRMM Microwave Imager Rainfall Retrieval Uncertainty. Journal of Hydrometeorology 16, 1596-1614.
Wang, J. and D. B. Wolff (2010). Evaluation of TRMM Ground-Validation Radar-Rain Errors Using Rain Gauge Measurements. Journal of Applied Meteorology and Climatology 49, 310-324.
Cohen Liechti, T., J. P. Matos, J. L. Boillat, and A. J. Schleiss (2012). Comparison and evaluation of satellite derived precipitation products for hydrological modeling of the Zambezi River Basin. Hydrol. Earth Syst. Sci. 16, 489-500.
Kendall, M. G. (1938). A New Measure of Rank Correlation. Biometrika 30, 81-93.
Mann, H. B. (1945). Nonparametric Tests Against Trend. Econometrica 13, 245-259.
McLeod, A. I., K. W. Hipel, and B. A. Bodo (1991). Trend analysis methodology for water quality time series. Environmetrics 2, 169-200.
Khalili, D., T. Farnoud, H. Jamshidi, A. A. Kamgar-Haghighi, and S. Zand-Parsa (2011). Comparability Analyses of the SPI and RDI Meteorological Drought Indices in Different Climatic Zones. Water Resources Management 25, 1737-1757.
Tao, W.-K., Y. N. Takayabu, S. Lang, S. Shige, W. Olson, A. Hou, G. Skofronick-Jackson, X. Jiang, C. Zhang, W. Lau, T. Krishnamurti, D. Waliser, M. Grecu, P. E. Ciesielski, R. H. Johnson, R. Houze, R. Kakar, K. Nakamura, S. Braun, S. Hagos, R. Oki, and A. Bhardwaj (2016). TRMM Latent Heating Retrieval: Applications and Comparisons with Field Campaigns and Large-Scale Analyses. Meteorological Monographs 56, 2.1-2.34.
Hayes, M. J., M. D. Svoboda, D. A. Wilhite, and O. V. Vanyarkho (1999). Monitoring the 1996 Drought Using the Standardized Precipitation Index. Bulletin of the American Meteorological Society 80, 429-438.
Filahi, S., M. Tanarhte, L. Mouhir, M. El Morhit, and Y. Tramblay (2016). Trends in indices of daily temperature and precipitations extremes in Morocco. Theoretical and Applied Climatology 124, 959-972.