Comparison of Gridded Precipitation Time Series Data in APHRODITE and Asfazari Databases within Iran’s Territory

Affiliation(s)

Department of Physical Geography, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran.

Department of Physical Geography, University of Isfahan, Isfahan, Iran.

Department of Physical Geography, University of Zanjan, Zanjan, Iran.

Department of Physical Geography, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran.

Department of Physical Geography, University of Isfahan, Isfahan, Iran.

Department of Physical Geography, University of Zanjan, Zanjan, Iran.

ABSTRACT

The V1003R1 version of the monthly, seasonal and annual
precipitation time series of the Middle East APHRODITE database and Asfazari
database within Iranian territory in the time interval 1961 and 2004 were
compared with each other. The monthly, seasonal and annual time series of the
both databases in most cases show a random behavior and the time series follow
a similar pattern with a significant autocorrelation of both databases.
Studying cross-correlation between the time series of the two bases indicate
that the zero lag significance in the monthly, seasonal and annual time series
statistically confirm the coincidence of the peak and fall in the time series
of both bases. Wilcoxon Test with 95% confidence confirms significance of the
mean difference of the two series. However, there is not enough evidence to
confirm the null hypothesis suggesting lack of difference between means of the
two series. The statistical-objective analysis of the two bases’ time series
indicates that although the series follow a similar course, the estimated
precipitation quantity in monthly, seasonal and annual time series of APHRODITE
base, except in several monthly time series and in trivial quantities, has been
less than the estimated precipitation of Asfazari bases, but the amount of the
difference was not constant and did not follow a regular pattern, although this
difference has been narrowed in recent years.

Cite this paper

E. Nasrabadi, S. Masoodian and H. Asakereh, "Comparison of Gridded Precipitation Time Series Data in APHRODITE and Asfazari Databases within Iran’s Territory,"*Atmospheric and Climate Sciences*, Vol. 3 No. 2, 2013, pp. 235-248. doi: 10.4236/acs.2013.32025.

E. Nasrabadi, S. Masoodian and H. Asakereh, "Comparison of Gridded Precipitation Time Series Data in APHRODITE and Asfazari Databases within Iran’s Territory,"

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[18] http://www.chikyu.ac.jp/precip

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[23] H. Asakereh, “ARIMA Modeling for Tabriz City Annual Temperature,” Geographical Research Quarterly Tone, Vol. 93, 2009, pp. 3-24.

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[25] M. Chitsazan, M. S. Mirzaee and R. Chinipardaz, “Zoning of Abkhan Plain in Shahr-e-Kord City Using Time Series Analysis,” Scientific Journal of Shahid Chamran University, No. 17, 2007, pp. 1-15.

[1] B. Podobnik, D. F. Fu, H. E. Stanley and P. Ch. Ivanov, “Power-Law Auto-Correlated Stochastic Processes with Long-Range Cross-Correlations,” European Physical Journal B, Vol. 56, No. 1, 2007, pp. 47-52. doi:10.1140/epjb/e2007-00089-3

[2] J. Brommundt and A. Bardossy, “Spatial Correlation of Radar and Gauge Precipitation Data in High Temporal Resolution,” Advances in Geosciences, Vol. 10, 2007, pp. 103-109. doi:10.5194/adgeo-10-103-2007

[3] H. Li, S. H. Futch and J. P. Syvertsen, “Cross-Correlation Patterns of Air and Soil Temperatures, Precipitation and Diaprepes Abbreviatus Root Weevil in Citrus,” Pest Management Science, Vol. 63, No. 11, 2007, pp. 1116-1123. doi:10.1002/ps.1431

[4] F. Capodici, G. Ciraolo, G. La loggia, L. Liuzzo, L. V. Noto and M. T. Noto, “Time Series Analysis of Climate and Vegetation Variables in the ORETO Watershed (Sicily, Italy),” European Water23/24, 2008, pp. 133-145.

[5] J. Y. Lee and K. Lee, “Use of Hydrologic Time Series Data for Identification of Recharge Mechanism in a Fractured Bedrock Aquifer System,” Journal of Hydrology, Vol 229, No. 3-4, 2000, pp. 190-201. doi:10.1016/S0022-1694(00)00158-X

[6] A. Katimon and A. Khairi Abd Wahab, “Hydrological Analysis of a Drained Peat Basin Using Time Series Correlation and Cross-Correlation Functions,” Journal of Technology, Vol. 39B, 2003, pp. 63-74.

[7] P. Angelini, “Correlation and Spectral Analysis of Two Hydrogeological Systems in Central Italy,” Journal of Hydrological Sciences, Vol. 3, No. 42, 1997, pp. 425-438. doi:10.1080/026 26669709492038

[8] S. Rehman, and A. H. Siddiqi, “Wavelet Based Correlation Coefficient of Time Series of Saudi Meteorological Data,” Chaos, Solitons and Fractals, Vol. 39, No. 4, 2009, pp. 1764-1789. doi:10.1016/j.chaos.2007.06.054

[9] P. M. Biron, A. G. Roy, F. Courschesne, W. H. Hendershot, B. Cote and J. Fyles, “The Effects of Antecedent Moisture Conditions on the Relationship of Hydrology to hydrochemistry in a Small Forested Watershed,” Hydrological Processes, Vol. 13, No. 11, 1999, pp. 1541-1555. doi:10.1002/(SICI)1099-1085(19990815)13:11<1541::AID-HYP832>3.0.CO;2-J

[10] H. Sun and M. Koch, “Case Study: Analysis and Forecasting of Salinity in Apalachicola Bay, Florida, Using Box-Jenkins ARIMA Models,” Journal of Hydraulic Engineering, Vol. 127, No. 9, 2001, pp. 718-727. doi:10.1061/(ASCE)0733-9429(2001)127:9(718)

[11] S. Javanmard, A. Yagagai, M. I. Nodzu, H. Kawamoto, J. B. Jamali, K. Kamiguchi and O. Arakawa, “Comparing High-Resolution Networked Precipitation Data with Satellite Precipitation Estimates of TRMM 3B42 over Iran,” Advances in Geosciences, Vol. 25, 2010, pp. 119-125. doi:10.5194/adgeo-25-119-2010

[12] M. Rajeevan and J. Bhate, “A High Resolution Daily Networked Precipitation Data Set (1971-2005) for Mesoscale Meteorological Studies,” Current Science, Vol. 96, No. 4, 2009, pp. 558-562.

[13] M. Rajeevan, J. Bhate, J. D. Kale and B. Lal, “High Resolution Daily Networked Precipitation Data for the Indian Region: Analysis of Break and Active Monsoon Spells,” Current Science, Vol. 91, 2006, pp. 296-306.

[14] A. Mishra, A. Yatagai, A. Hamada and R. M. Gairola, “Estimation of Precipitation over Asia by Combined Use of Gauge and Multi-Satellite Sensor Observations at Fine Scale,” 91St Annual AMS Meeting, 24 January 2011.

[15] A. Yatagai, K. Kamiguchi, O. Arakawa, A. Hammed, N. I. Yasutomi and A. Kitoh, “APHRODITE: Constructing a Long-Term Daily Networked Precipitation Dataset for Asia Based on a Dense Networked of Rain Gauges,” Bulletin of the American Meteorological Society, Vol. 93, No. 9, 2012, pp. 1401-1415. doi:10.1175/BAMS-D-11-00122.1

[16] P. Xie, A. Yatagai, M. Chen, T. Hayasaka, Y. Fukushima, C. Liu and Y. Song, “A Gauge-Based Analysis of Daily Precipitation over East Asia,” Journal of Hydrometeorology, Vol. 8, No. 3, 2007, pp. 607-626. doi:10.1175/JHM583.1

[17] A. Yatagai, O. Arakawa, K. Kamiguchi, H. Kawamoto, M. I. Nodzu and A. Hamada, “A 44-Year Daily Networked Precipitation Dataset for Asia Based on a Dense Networked of Rain Gauges,” Scientific Online Letters on the Atmosphere, Vol. 5, 2009, pp. 137-140. doi:10.2151/sola.2009-035

[18] http://www.chikyu.ac.jp/precip

[19] F. Rahimzade, “Statistical Methods in Meteorology and Climatology Researchers,” Tehran, Iran, 2011.

[20] C. Chatfield, “The Analysis of Time Series an Introduction,” Ferdowsi University of Mashhad Press, Iran, 2003.

[21] H. A. Niroumd and A. Bozorgnia, “The Analysis Time Series,” Payam Nour University Press, Tehran, 2008.

[22] J. D. Cryer, “Time Series Analysis,” Ferdowsi University of Mashhad Press, Iran, 2006.

[23] H. Asakereh, “ARIMA Modeling for Tabriz City Annual Temperature,” Geographical Research Quarterly Tone, Vol. 93, 2009, pp. 3-24.

[24] K. Habibpour and R. Safari, “Comprehensive Guide to SPSS Application,” Motafekkeran Publication, Tehran, 2009.

[25] M. Chitsazan, M. S. Mirzaee and R. Chinipardaz, “Zoning of Abkhan Plain in Shahr-e-Kord City Using Time Series Analysis,” Scientific Journal of Shahid Chamran University, No. 17, 2007, pp. 1-15.