A Probabilistic Weighted Joint Aggregative Drought Index (PWJADI) criterion for drought monitoring systems
References
- Abebe
, A., Brick, M. A.and Kirkby, R. A. 1998. Comparison of selection indices to identify productive dry bean lines under diverse environmental conditions. Field Crop Res., 15– 23. doi: 10.1016/S0378-4290(98)00082-3 - Ali
, Z., Hussain, I., Faisal, M., Nazir, H. M., Abd-el Moemen, M. and co-authors. 2017a. A novel multi-scalar drought index for monitoring drought: the standardized precipitation temperature index. Water Res. Manage., 4957– 4957. doi: 10.1007/s11269-017-1788-1 - Ali
, Z., Hussain, I., Faisal, M., Nazir, H. M., Hussain, T. and co-authors. 2017b. Forecasting drought using multilayer perceptron artificial neural network model. Adv. Meteorol., 1. doi: 10.1155/2017/5681308 - Allen
, R. G., Pereira, L. S., Raes, D.and Smith, M. 1998. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-Fao Irrigation and Drainage Paper 56., Rome, vol. 300, p. 6541. - Allen
, R. G.and Pruitt, W. O. 1986. Rational use of the FAO Blaney-Criddle formula. J. Irrigation Drainage Eng., 139– 155. doi: 10.1061/(ASCE)0733-9437(1986)112:2(139) - Angelidis
, P., Maris, F., Kotsovinos, N.and Hrissanthou, V. 2012. Computation of drought index SPI with alternative distribution functions. Water Resour. Manage., 2453– 2473. doi: 10.1007/s11269-012-0026-0 - Banimahd
, S. A.and Khalili, D. 2013. Factors influencing Markov chains predictability characteristics, utilizing SPI, RDI, EDI and SPEI drought indices in different climatic zones. Water Resour. Manage., 3911– 3928. doi: 10.1007/s11269-013-0387-z - Beguera
, S.and Vicente-Serrano, S. M. 2013. SPEI: calculation of the standardised precipitation-evapotranspiration index. R package version, 1, - Bhuiyan
, C. 2004. Various drought indices for monitoring drought condition in Aravalli Terrain of India. In: XXth ISPRS Congress, 12– 23. - Blain
, G. C. 2011. Standardized precipitation index based on Pearson Type III distribution. Rev. Bras. Meteorol., 167– 180. doi: 10.1590/S0102-77862011000200001 - Blain
, G. C. 2013. Extreme value theory applied to the standardized precipitation index. Acta Sci. Technol., 147– 155. doi: 10.4025/17475 - Blain
, G. C.and Meschiatti, M. C. 2015. Inadequacy of the gamma distribution to calculate the Standardized Precipitation Index. Rev. Bras. Eng. Agríc. Ambient., 1129– 1135. doi: 10.1590/1807-1929/agriambi.v19n12p1129-1135 - Bordi
, I.and Sutera, A. 2007. Drought monitoring and forecasting at large scale . In: Methods and Tools for Drought Analysis and Management. Springer, Berlin, 3– 27. - Chiang
, C. L. 1968. Introduction to Stochastic Processes in Biostatistics, Vol. 95, Wiley, New York. - Das
, S., Choudhury, M. R., Gandhi, S.and Joshi, V. 2016. Application of earth observation data and standardized precipitation index based approach for meteorological drought monitoring, assessment and prediction over Kutch, Gujarat, India. Int. J. Environ. Geoinform.(2), 24– 37. - De Stefano
, S. D., Gudmundsson, L., Gunst, L., Kohn, I., Van Lanen, H. A. and co-authors. 2015. Recommendations for indicators for monitoring and early-warning considering different sensitivities: Pan-European scale. - Gilks
, W. R., Richardson, S.and Spiegelhalter, D. 1995. Markov Chain Monte Carlo in Practice. CRC Press, Cambridge. - Gurrapu
, S., Chipanshi, A., Sauchyn, D.and Howard, A. 2014. Comparison of the SPI and SPEI on predicting drought conditions and streamflow in the Canadian prairies. In: Proceedings of the 28th Conference of Hydrology-94th American Meteorological Society Annual Meetingâe, Atlanta, GA, pp. 2– 6. - Guttman
, N. B. 1999. Accepting the standardized precipitation index: a calculation algorithm. J. Am. Water Res. Assoc., 311– 322. doi: 10.1111/j.1752-1688.1999.tb03592.x - Haan
, C. T. 2002. Statistical Methods in Hydrology. Iowa State: Blackwell Publishing. - Hao
, Z.and Singh, V. P. 2015. Drought characterization from a multivariate perspective: a review. J. Hydrol., 668– 678. doi: 10.1016/j.jhydrol.2015.05.031 - Hargreaves
, G. H.and Samani, Z. A. 1985. Reference crop evapotranspiration from temperature. Appl. Eng. Agric., 96– 99. doi: 10.13031/2013.26773 - Hayes
, M. J., Wilhelmi, O. V.and Knutson, C. L. 2004. Reducing drought risk: bridging theory and practice. Nat. Hazard Rev., 106– 113. doi: 10.1061/(ASCE)1527-6988(2004)5:2(106) - Hayes
, M., Svoboda, M., Wardlow, B., Anderson, M.and Kogan, F. 2012. Drought monitoring: Historical and current perspectives. In Remote Sensing of Drought, 1– 19. - Heim
, R. R.Jr , 2002. A review of twentieth-century drought indices used in the United States. Bull. Amer. Meteor. Soc., 1149– 1165. doi: 10.1175/1520-0477-83.8.1149 - Homdee
, T., Pongput, K.and Kanae, S. 2016. A comparative performance analysis of three standardized climatic drought indices in the Chi River Basin, Thailand. Agric. Nat. Res., 211– 219. - Jensen
, M. E., Burman, R. D.and Allen, R. G. 1990. Evapotranspiration and Irrigation Water Requirements. ASCE, Reston, VA. - Juliani
, B. H. T.and Okawa, C. M. P. 2017. Application of a standardized precipitation index for meteorological drought analysis of the semi-arid climate influence in Minas Gerais, Brazil. Hydrology, 26. doi: 10.3390/hydrology4020026 - Karavitis
, C. A., Alexandris, S., Tsesmelis, D. E.and Athanasopoulos, G. 2011. Application of the standardized precipitation index (SPI) in Greece. Water, 787– 805. doi: 10.3390/w3030787 - Keyantash
, J.and Dracup, J. A. 2002. The quantification of drought: An evaluation of drought indices. Bull. Am. Meteorol. Soc.(8), 1167– 1180. doi: 10.1175/1520-0477-83.8.1167 - Khalili
, D., Farnoud, T., Jamshidi, H., Kamgar-Haghighi, A. A.and Zand-Parsa, S. 2011. Comparability analyses of the SPI and RDI meteorological drought indices in different climatic zones. Water Resour. Manage., 1737– 1757. doi: 10.1007/s11269-010-9772-z - Kogan
, F. N. 2000. Contribution of remote sensing to drought early warning. In: Early Warning Systems for Drought Preparedness and Drought Management, 75– 87. - Labudová
, L., Labuda, M.and Takáč, J. 2016. Comparison of SPI and SPEI applicability for drought impact assessment on crop production in the Danubian lowland and the East Slovakian lowland. Theor. Appl. Climatolo., 1– 16. - Maca
, P.and Pech, P. 2016. Forecasting SPEI and SPI drought indices using the integrated artificial neural networks. Comput. Intell. Neurosci., 1. doi: 10.1155/2016/3868519 - Martonne
, E. D. 1920. Une Nouvelle Fonction Climatologique: l'indice D'aridite: Metorologie v. 2, - McKee
, T. B., Doesken, N. J.and Kleist, J. 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, Vol. 17, pp. 179– 183. American Meteorological Society Boston, MA. - Mondol
, M. A. H., Ara, I.and Das, S. C. 2017. Meteorological drought index mapping in Bangladesh using standardized precipitation index during 1981–2010. Adv. Meteorol., 1. doi: 10.1155/2017/4642060 - Ntale
, H. K.and Gan, T. Y. 2003. Drought indices and their application to East Africa. Int. J. Climatol., 1335– 1357. doi: 10.1002/joc.931 - Palmer
, W. C. 1965. Meteorological Drought. US Department of Commerce, Weather. - Papadopoulou
, E., Varanou, E., Baltas, E., Dassaklis, A.and Mimikou, M. 2003. Estimating potential evapotranspiration and its spatial distribution in Greece using empirical methods. In Proceedings of 8th Int. Conf. on Environmental Science and Technology, 650– 658. - Parker
, W. 2014. Values and uncertainties in climate prediction, revisited. Studies in History Phil. Sci. A., 24– 30. doi: 10.1016/j.shpsa.2013.11.003 - Paulo
, A., Ferreira, E., Coelho, C.and Pereira, L. 2005. Drought class transition analysis through markov and loglinear models, an approach to early warning. Agric. Water Manage., 59– 81. doi: 10.1016/j.agwat.2004.09.039 - Quiring
, S. M. 2009. Monitoring drought: an evaluation of meteorological drought indices. Geogr. Compass, 64– 88. doi: 10.1111/j.1749-8198.2008.00207.x - Rahmat
, S. N., Jayasuriya, N.and Bhuiyan, M. A. 2016. Short-term droughts forecast using Markov chain model in Victoria, Australia. Theor. Appl. Climatol., 491– 506. - Raible
, C. C., Bärenbold, O.and Gomez-Navarro, J. J. 2017. Drought indices revisited–improving and testing of drought indices in a simulation of the last two millennia for Europe. Tellus A., 1287492. doi: 10.1080/16000870.2017.1296226 - Rezaeianzadeh
, M., Stein, A.and Cox, J. P. 2016. Drought forecasting using Markov chain model and artificial neural networks. Water Resour. Manage., 2245– 2259. doi: 10.1007/s11269-016-1283-0 - Ross
, T.and Lott, N. 2000. A climatology of recent extreme weather and climate events.US Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite Data and Information Service, National Climatic Data Center. - Sanusi
, W., Jemain, A. A., Zin, W. Z. W.and Zahari, M. 2015. The drought characteristics using the first-order homogeneous Markov chain of monthly rainfall data in peninsular Malaysia. Water Resour. Manage., 1523– 1539. doi: 10.1007/s11269-014-0892-8 - Schittkowski
, K. 2002. Easy-fit: a software system for data fitting in dynamical systems. Struct. Multidisc. Optim., 153– 169. doi: 10.1007/s00158-002-0174-6 - Sheffield
, J., Wood, E. F.and Roderick, M. L. 2012. Little change in global drought over the past 60 years. Nature, 435– 438. doi: 10.1038/nature11575 - Spiess
, A. N. 2014. Propagate: propagation of uncertainty. R package version, 1-0. https://CRAN.R-project.org/package=propagate. - Stagge
, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F.and Stahl, K. 2015. Candidate distributions for climatological drought indices (SPI and SPEI). Int. J. Climatol., 4027– 4040. doi: 10.1002/joc.4267 - Stagge
, J., Kingston, D., Tallaksen, L.and Hannah, D. 2016. Diverging trends between meteorological drought indices (SPI and SPEI) in Europe . In EGU General Assembly Conference Abstracts, Vol. 18, 10703. - Su
, H.and Li, G. 2012. Low-frequency drought variability based on SPEI in association with climate indices in Beijing. Shengtai Xuebao/Acta Ecol. Sinica, 5467– 5475. - Svoboda
, M.and Fuchs, B. 2016. Handbook of Drought Indicators and Indices. World Meteorological Organization, Geneva, Switzerland - Svoboda
, M., Hayes, M.and Wood, D. 2012. Standardized Precipitation Index User Guide., Geneva, Switzerland. - Thornthwaite
, C. W. 1948. An approach toward a rational classification of climate. Geograph. Rev., 55– 94. doi: 10.2307/210739 - Touma
, D., Ashfaq, M., Nayak, M. A., Kao, S.-C.and Diffenbaugh, N. S. 2015. A multi-model and multi-index evaluation of drought characteristics in the 21st century. J. Hydrol., 196– 207. doi: 10.1016/j.jhydrol.2014.12.011 - Tsakiris
, G.and Vangelis, H. 2005. Establishing a drought index incorporating evapotranspiration. European Water, 3– 11. - Van der Schrier
, G., Jones, P.and Briffa, K. 2011. The sensitivity of the PDSI to the Thornthwaite and penman-monteith parameterizations for potential evapotranspiration. J. Geophys. Res Atmosp., D3. - Vicente-Serrano
, S. M., Beguera, S.and López-Moreno, J. I. 2010. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. J. Clim., 1696– 1718. doi: 10.1175/2009JCLI2909.1 - Vicente-Serrano
, S. M., Van der Schrier, G., Beguería, S., Azorin-Molina, C.and Lopez-Moreno, J.-I. 2015. Contribution of precipitation and reference evapotranspiration to drought indices under different climates. J. Hydrol., 42– 54. doi: 10.1016/j.jhydrol.2014.11.025 - Wang
, H., Pan, Y.and Chen, Y. 2017. Comparison of three drought indices and their evolutionary characteristics in the arid region of Northwestern China. Atmos. Sci. Lett., 132– 139. doi: 10.1002/asl.735 - Wijk
, W. R. V.and Vries, D. A. D. 1954. Evapotranspiration. Neth. J. Agric. Sci, 105– 119. - Wilhite
, D. A. 1994. Preparing for Drought: A Guidebook for Developing Countries. Diane Publishing, Darby, PA. - Wilhite
, D. A. 2000. Drought as a natural hazard: concepts and definitions. Drought Global Assess., 3– 18. - Wilhite
, D. A.and Buchanan-Smith, M. 2005. Drought as hazard: understanding the natural and social context. In: Drought and Water Crises: Science, Technology, and Management Issues, 3– 29.
DOI: https://doi.org/10.1080/16000870.2019.1588584 | Journal eISSN: 3035-9554
Language: English
Page range: 1588584 - 1588584
Published on: Jan 1, 2019
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2019 Zulfiqar Ali, Ijaz Hussain, Muhammad Faisal, Ibrahim M. Almanjahie, Ishfaq Ahmad, Dost Muhammad Khan, Marco Grzegorczyk, Saida Qamar, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.