Modified Standardized Precipitation Evapotranspiration Index: spatiotemporal analysis of drought

References

• Ahmadi SH, Fooladmand HR. 2008. Spatially distributedmonthlyreference evapotranspiration derived from the calibration of Thornthwaite equation: a case study, south of Iran. Irrig Sci. 26(4):303–312.
   Web of Science ®Google Scholar
• Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome. 300(9):D05109. http://www.avwatermaster.org/filingdocs/195/70653/172618e_5xAGWAx8.pdf.
   Google Scholar
• Arsenault R, Brissette F. 2014. Determining the optimal spatial distribution of weather station networks for hydrological modeling purposes using RCM datasets: an experimental approach. J Hydrometeorol. 15(1):517–526.
   Web of Science ®Google Scholar
• Bayissa YA, Moges SA, Xuan Y, Van Andel SJ, Maskey S, Solomatine DP, … Tadesse T. 2015. Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrol Sci J. 60(11):1927–1942.
   Web of Science ®Google Scholar
• Beguería S, Vicente‐Serrano SM, Reig F, Latorre B. 2014. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int J Climatol. 34(10):3001–3023.
   Web of Science ®Google Scholar
• Camargo AP, Marin FR, Sentelhas PC, Picini AG. 1999. Adjust of the Thornthwaite’s method to estimate the potential evapotranspiration for arid and superhumid climates, based on daily temperature amplitude. Rev Bras Agrometeorol. 7(2):251–257.
   Google Scholar
• Chao N, Wang Z, Jiang W, Chao D. 2016. A quantitative approach for hydrological drought characterization in southwestern China using GRACE. Hydrogeol J. 24(4):893–903.
   Web of Science ®Google Scholar
• Cook BI, Anchukaitis KJ, Touchan R, Meko DM, Cook ER. 2016. Spatiotemporal drought variability in the Mediterranean over the last 900 years. J Geophys Res Atmos. 121(5):2060–2074.
   PubMed Web of Science ®Google Scholar
• Ghosh S, Roy MK, Biswas SC. 2016. Determination of the best fit probability distribution for monthly rainfall data in Bangladesh. Am J Mathe Stat. 6(4):170–174.
   Google Scholar
• Habeeb R, Zhang X, Hussain I, Hashmi MZ, Elashkar EE, Khader JA, Soudagar SS, Shoukry AM, Ali Z, Al-Deek FF. 2021. Statistical analysis of modified Hargreaves equation for precise estimation of reference evapotranspiration. Tellus A: Dynamic Meteorol Oceanograph. 73(1):1966869.
   Web of Science ®Google Scholar
• Hassani H, Silva ES. 2015. A Kolmogorov-Smirnov based test for comparing the predictive accuracy of two sets of forecasts. Econometrics. 3(3):590–609.
   Web of Science ®Google Scholar
• Huang S, Huang Q, Leng G, Chang J. 2016. A hybrid index for characterizing drought based on a non-parametric kernel estimator. J Appl Meteorol Climatol. 55(6):1377–1389.
   Web of Science ®Google Scholar
• Hubert LJ, Golledge RG, Costanzo CM, Gale N. 2010. Measuring association between spatially defined variables: an alternative procedure. Geograph Anal. 17(1):36–46.
   Google Scholar
• Hussain I, Pilz J, Spoeck G. 2011. Homogeneous climate regions in Pakistan. Int J Glob Warm. 3(1–2):55–66.
   Google Scholar
• Hussain M, Mumtaz S. 2014. Climate change and managing water crisis: Pakistan’s perspective. Rev Environ Health. 29(1–2):71–77.
   PubMedGoogle Scholar
• Jabloun MD, Sahli A. 2008. Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: application to Tunisia. Agric Water Manage. 95(6):707–715.
   Web of Science ®Google Scholar
• Jiao W, Tian C, Chang Q, Novick KA, Wang L. 2019. A new multi-sensor integrated index for drought monitoring. Agric for Meteorol. 268:74–85.
   Web of Science ®Google Scholar
• McKee TB, Doesken NJ, Kleist J. 1993. The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology. 17(22):179–183. https://climate.colostate.edu/pdfs/relationshipofdroughtfrequency.pdf.
   Google Scholar
• Montazeri H, Blocken B, Derome D, Carmeliet J, Hensen JL. 2015. CFD analysis of forced convective heat transfer coefficients at windward building facades: influence of building geometry. J Wind Eng Ind Aerodyn. 146:102–116.
   Web of Science ®Google Scholar
• Nabeel A, Athar H. 2018. Classification of precipitation regimes in Pakistan using wet and dry spells. Int J Climatol. 38(5):2462–2477.
   Web of Science ®Google Scholar
• Osorio F, Vallejos R, Cuevas F. 2014. SpatialPack: package for analysis of spatial data. R package version 0.2-3, URL: CRAN. R-project. org/package = SpatialPack.
   Google Scholar
• Palmer WC 1965. Meteorological drought (Vol. 30). US Department of Commerce, Weather Bureau.
   Google Scholar
• Papadopoulou E, Varanou E, Baltas E, Dassaklis A, Mimikou M. 2003. Estimating potential evapotranspiration and its spatial distribution in Greece using empirical methods. In Proc,. 8th Int. Conf. on Environmental Science and Technology (pp. 650–658). https://conferences.gnest.org/cest8/8cest_papers/abstracts_pdf_names/posters_abs/p198_Papadopoulou.pdf.
   Google Scholar
• Patel J, Patel H, Bhatt C. 2015. Modified Hargreaves equation for accurate estimation of evapotranspiration of diverse climate locations in India. Proc Natl Acad Sci, India, Sect B Biol Sci. 85(1):161–166.
   Google Scholar
• Pereira AR, Pruitt WO. 2004. Adaptation of the Thornthwaite scheme for estimating daily reference evapotranspiration. Agric Water Manage. 66(3):251–257.
   Web of Science ®Google Scholar
• Rahmat SN, Jayasuriya N, Bhuiyan M. 2012. Trend analysis of drought using standardised precipitation index (SPI) in Victoria, Australia. In 34th Hydrology and Water Resources Symposium November, Sydney, Australia (Vol. 19, p. 22). https://d1wqtxts1xzle7.cloudfront.net/46594280/Trend_analysis_of_drought_using_Standard20160618-25483-1shcix1-with-cover-page-v2.pdf?Expires=1665385227&Signature=E7ef1XDmhsytyeMEawou6G7r5Wq83Be3aHcLSVBpkjp1xxDr7fP0OfPQG8Tf9b-xBrpX-6z5UTI0-qt662KT9apJEZayP3j7fyVnB-k-WXSQ5QS3dJIOsPBK5CMAnxKkPMaYsTbTn∼8AKoUuAOkCzhOVxWWOVu6Vry-PvuR16hdyl4IU08rHicpxRcCUhXNOQtZA∼zU-h7Cvsi3pJsu∼8XmbCNwbBs-5vCaHMKOUXLCTe9Ka35hEMwi∼wRvhZbdIc6Wc5k2p7NjuBdrywC0YTQDfXAJZ7hn1xy5LOVVFGu4bIBqPg8zbNLhagfiT9OVqtXlHgUR-edvy-nhj41nu4A__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA.
   Google Scholar
• Shah D, Mishra V. 2020. Integrated Drought Index (IDI) for drought monitoring and assessment in India. Water Resour Res. 56(2):e2019WR026284.
   Web of Science ®Google Scholar
• Spiess AN, Spiess MAN, Rcpp L. 2018. Package 'propagate’. https://mirror.las.iastate.edu/CRAN/web/packages/propagate/propagate.pdf.
   Google Scholar
• Stagge J, Kingston D, Tallaksen L, Hannah D. 2016. Diverging trends between meteorological drought indices (SPI and SPEI) in Europe. In EGU General Assembly Conference Abstracts (pp. EPSC2016-10703). https://ui.adsabs.harvard.edu/abs/2016EGUGA.1810703S.
   Google Scholar
• Task Committee on Revision of Manual 70. 2016. Evaporation, evapotranspiration, and irrigation water requirements. American Society of Civil Engineers (ASCE).
   Google Scholar
• Tjøstheim D. 1978. A measure of association for spatial variables. Biometrika. 65(1):109–114.
   Web of Science ®Google Scholar
• Tong S, Lai Q, Zhang J, Bao Y, Lusi A, Ma Q, Li X, Zhang F. 2018. Spatiotemporal drought variability on the Mongolian Plateau from 1980–2014 based on the SPEI-PM, intensity analysis and Hurst exponent. Sci Total Environ. 615:1557–1565.
   PubMed Web of Science ®Google Scholar
• Tsakiris G, Pangalou D, Vangelis H. 2007. Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resour Manage. 21(5):821–833.
   Web of Science ®Google Scholar
• Van der Schrier G, Jones PD, Briffa KR. 2011. The sensitivity of the PDSI to the Thornthwaite and Penman‐Monteith parameterizations for potential evapotranspiration. J Geophys Res: Atmospheres 116(D3):1–16.
   Google Scholar
• Van Wijk WR, De Vries DA. 1954. Evapotranspiration. NJAS. 2(2):105–119.
   Google Scholar
• Vega HM, Lima JR, Cerniak SN. 2019. SPEI and Hurst analysis of precipitation in the Amazonian Area of Brazil. Rev Bras Meteorol. 34(2):325–334.
   Google Scholar
• Vicente-Serrano SM, Beguería S, López-Moreno JI. 2010. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Climate. 23(7):1696–1718.
   Web of Science ®Google Scholar
• Wang GQ, Zhang JY, Jin JL, Pagano TC, Calow R, Bao ZX, Liu CS, Liu YL, Yan XL. 2012. Assessing water resources in China using PRECIS projections and a VIC model. Hydrol Earth Syst Sci. 16(1):231–240.
   Web of Science ®Google Scholar
• Wang L, Yuan X, Xie Z, Wu P, Li Y. 2016. Increasing flash droughts over China during the recent global warming hiatus. Sci Rep. 6(1):1–8.
   PubMed Web of Science ®Google Scholar
• West H, Quinn N, Horswell M. 2019. Remote sensing for drought monitoring & impact assessment: progress, past challenges and future opportunities. Remote Sens Environ. 232:111291.
   Web of Science ®Google Scholar
• Zhang H, Song J, Wang G, Wu X, Li J. 2021. Spatiotemporal characteristic and forecast of drought in northern Xinjiang, China. Ecol Indic. 127:107712.
   Web of Science ®Google Scholar