Proposing a new framework for analyzing the severity of meteorological drought

References

• Afshar MH, Bulut B, Duzenli E, Amjad M, Yilmaz MT. 2022. Global spatiotemporal consistency between meteorological and soil moisture drought indices. Agric for Meteorol. 316:108848.
   Web of Science ®Google Scholar
• Alahacoon N, Edirisinghe M, Ranagalage M. 2021. Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka. Sustainability. 13(6):3427.
   Web of Science ®Google Scholar
• Ali Z, Almanjahie IM, Hussain I, Ismail M, Faisal M. 2020a. A novel generalized combinative procedure for Multi-Scalar standardized drought Indices-The long average weighted joint aggregative criterion. Tellus A: Dynamic Meteorol Oceanography. 72(1):1736248.
   Web of Science ®Google Scholar
• Ali Z, Hussain I, Faisal M, Khan DM, Niaz R, Elashkar EE, Shoukry AM. 2020b. Propagation of the multi-scalar aggregative standardized precipitation temperature index and its application. Water Resour Manage. 34(2):699–714.
   Web of Science ®Google Scholar
• Ali Z, Hussain I, Faisal M, Nazir HM, Moemen MAE, Hussain T, Shamsuddin S. 2017. A novel multi-scalar drought index for monitoring drought: the standardized precipitation temperature index. Water Resour Manage. 31(15):4957–4969.
   Web of Science ®Google Scholar
• Ali Z, Hussain I, Faisal M, Shoukry AM, Gani S, Ahmad I. 2019. A framework to identify homogeneous drought characterization regions. Theor Appl Climatol. 137(3–4):3161–3172.
   Web of Science ®Google Scholar
• Bhalme HN, Mooley DA. 1980. Large-scale droughts/floods and monsoon circulation. Mon Weather Rev. 108:1197–1211.
   Google Scholar
• Carrão H, Naumann G, Barbosa P. 2016. Mapping global patterns of drought risk: an empirical framework based on sub-national estimates of hazard, exposure and vulnerability. Global Environ Change. 39:108–124.
   Web of Science ®Google Scholar
• Carrão H, Russo S, Sepulcre-Canto G, Barbosa P. 2016. An empirical standardized soil moisture index for agricultural drought assessment from remotely sensed data. Int J Appl Earth Obs Geoinf. 48:74–84.
   Web of Science ®Google Scholar
• Ceglar A, Zalika C, Lucka KB. 2008. Analysis of meteorological drought in Slovenia with two drought indices. Proceedings of the BALWOIS 2008, p. 27–31.
   Google Scholar
• Chandrasekara SS, Kwon HH, Vithanage M, Obeysekera J, Kim TW. 2021. Drought in South Asia: a review of drought assessment and prediction in South Asian countries. Atmosphere. 12(3):369.
   Web of Science ®Google Scholar
• Chen L, Singh VP, Guo S, Mishra AK, Guo J. 2013. Drought analysis using copulas. J Hydrol Eng. 18(7):797–808.
   Web of Science ®Google Scholar
• Crawford AB. 2019. State and federal responses to the 1977 drought. In North American droughts . Routledge; p. 143–161.
   Google Scholar
• Dabanlı İ, Mishra AK, Şen Z. 2017. Long-term spatio-temporal drought variability in Turkey. J Hydrol. 552:779–792.
   Web of Science ®Google Scholar
• Danandeh Mehr A, Rikhtehgar Ghiasi A, Yaseen ZM, Sorman AU, Abualigah L. 2022. A novel intelligent deep learning predictive model for meteorological drought forecasting. J Ambient Intell Human Comput. 24:1–5.
   Google Scholar
• Farahmand A, AghaKouchak A. 2015. A generalized framework for deriving nonparametric standardized drought indicators. Adv Water Resour. 76:140–145.
   Web of Science ®Google Scholar
• Ganguli P, Ganguly AR. 2016. Space-time trends in US meteorological droughts. J Hydrol: Reg Stud. 8:235–259.
   Google Scholar
• Gebrehiwot M, Meaza H, Ghebreyohannes Asfaha T, Tesfamariam Z, Demissie B. 2022. Spatiotemporal drought occurrences in the semi‐closed Raya graben along the northern Ethiopian Rift Valley. Singap J Trop Geogr. 43(1):85–107.
   Web of Science ®Google Scholar
• Ghaleni MM, Sharafi S, Hosseini-Moghari SM, Helali J, Oskouei EA. 2022. Spatiotemporal characteristics of meteorological drought during the past half century in different climates over Iran. Res. Sq.
   Google Scholar
• Gommes R, Petrassi F. 1996. Rainfall variability and drought in sub-Saharan Africa. SD dimensions, FAO.
   Google Scholar
• Hernandez EA, Uddameri V. 2014. Standardized precipitation evaporation index (SPEI)-based drought assessment in semi-arid south Texas. Environ Earth Sci. 71(6):2491–2501.
   Web of Science ®Google Scholar
• Hobeichi S, Abramowitz G, Evans JP, Ukkola A. 2022. Toward a robust, impact‐based, predictive drought metric. Water Resour Res. 58(2):e2021WR031829.
   Web of Science ®Google Scholar
• Huizhi T, Xiaoning L, Shiqi Y, Yongqian W, Feng L, Jinbao L, Jun C, Yue H. 2022. Drought risk assessment in the coupled spatial–temporal dimension of the Sichuan Basin, China. Nat Hazards. 114(3):3205–3233.
   Web of Science ®Google Scholar
• Kao SC, Govindaraju RS. 2010. A copula-based joint deficit index for droughts. J Hydrol. 380(1–2):121–134.
   Web of Science ®Google Scholar
• Katipoğlu OM, Acar R, Şenocak S, Şengül S. 2022. Assessment of meteorological drought trends in the Euphrates Basin, Turkey. Arab J Geosci. 15(6):1–14.
   Google Scholar
• Keyantash J, Dracup JA. 2002. The quantification of drought: an evaluation of drought indices. Bull Amer Meteor Soc. 83(8):1167–1180.
   Web of Science ®Google Scholar
• Keyantash JA, Dracup JA. 2004. An aggregate drought index: assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage. Water Resour Res. 40:14.
   Web of Science ®Google Scholar
• Khan DG, Latif M, Hassan S. 2003. The role of controlled drainage under drought conditions in an irrigated area in NWFP, Pakistan. Irrig and Drain. 52(2):147–162.
   Web of Science ®Google Scholar
• Kwak J, Joo H, Jung J, Lee J, Kim S, Kim HS. 2021. A case study: bivariate drought identification on the Andong dam, South Korea. Stoch Environ Res Risk Assess. 35(3):549–560.
   Web of Science ®Google Scholar
• Leng G, Tang Q, Rayburg S. 2015. Climate change impacts on meteorological, agricultural and hydrological droughts in China. Global Planet Change. 126:23–34.
   Web of Science ®Google Scholar
• Li X, He B, Quan X, Liao Z, Bai X. 2015. Use of the standardized precipitation evapotranspiration index (SPEI) to characterize the drying trend in southwest China from 1982–2012. Remote Sens. 7(8):10917–10937.
   Google Scholar
• Limones N, Pita-López MF, Camarillo JM. 2022. A new index to assess meteorological drought: the Drought Exceedance Probability Index (DEPI). Atm. 35(1):67–88.
   Web of Science ®Google Scholar
• Lotfirad M, Esmaeili-Gisavandani H, Adib A. 2022. Drought monitoring and prediction using SPI, SPEI, and random forest model in various climates of Iran. J Water and Climate Change. 13(2):383–406.
   Web of Science ®Google Scholar
• Lottering S, Mafongoya P, Lottering R. 2021. Drought and its impacts on small-scale farmers in sub-Saharan Africa: a review. South Afr Geograph J. 103(3):319–341.
   Web of Science ®Google Scholar
• McKee TB, Doesken NJ, 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. Boston, MA: American Meteorological Society.
   Google Scholar
• Mishra AK, Singh VP. 2010. A review of drought concepts. J Hydrol. 391(1–2):202–216.
   Web of Science ®Google Scholar
• Mishra AK, Singh VP. 2011. Drought modeling–A review. J Hydrol. 403(1–2):157–175.
   Web of Science ®Google Scholar
• Mohammed S, Elbeltagi A, Bashir B, Alsafadi K, Alsilibe F, Alsalman A, Zeraatpisheh M, Széles A, Harsányi E. 2022. A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean. Comput Electron Agric. 197:106925.
   Web of Science ®Google Scholar
• Moisa MB, Merga BB, Gemeda DO. 2022. Multiple indices-based assessment of agricultural drought: a case study in Gilgel Gibe Sub-basin, Southern Ethiopia. Theor Appl Climatol. 148(1–2):455–464.
   Web of Science ®Google Scholar
• Niaz R, Almanjahie IM, Ali Z, Faisal M, Hussain I. 2020a. A novel framework for selecting informative meteorological stations using Monte Carlo Feature Selection (MCFS) Algorithm. Adv Meteorol. 2020:1–13.
   Web of Science ®Google Scholar
• Niaz R, Almazah MM, Al-Duais FS, Iqbal N, Khan DM, Hussain I. 2022c. Spatiotemporal analysis of meteorological drought variability in a homogeneous region using standardized drought indices. Geomatics Nat Hazards Risk. 13(1):1457–1481.
   Web of Science ®Google Scholar
• Niaz R, Almazah MM, Hussain I, Faisal M, Al-Rezami AY, Naser MA. 2022b. A new comprehensive approach for regional drought monitoring. PeerJ. 10:e13377.
   PubMed Web of Science ®Google Scholar
• Niaz R, Almazah MMA, Hussain I, Filho JDP. 2021a. A new framework to substantiate the prevalence of drought intensities. Theor Appl Climatol. 147(3–4):1079–1090.
   Web of Science ®Google Scholar
• Niaz R, Almazah MMA, Hussain I, Filho JDP, Al-Ansari N, Sh Sammen S. 2022a. Assessing the probability of drought severity in a homogenous region. Complexity. 2022:1–8.
   Web of Science ®Google Scholar
• Niaz R, Almazah M, Zhang X, Hussain I, Faisal M. 2021b. Prediction for various drought classes using spatiotemporal categorical sequences. Complexity. 2021:1–11.
   Web of Science ®Google Scholar
• Niaz R, Hussain I, Ali Z, Faisal M. 2021d. A novel framework for regional pattern recognition of drought intensities. Arab J Geosci. 14(16):1–16.
   Google Scholar
• Niaz R, Hussain I, Ali Z, Faisal M, Elashkar EE, Shoukry AM, … Al-Deek FF. 2020b. A novel spatially weighted accumulative procedure for regional drought monitoring. Tellus A: Dynamic Meteorol Oceanograph. 72(1):1–13.
   Web of Science ®Google Scholar
• Niaz R, Hussain A, Almazah MM, Hussain I, Ali Z, Al-Rezami AY. 2023. Identifying inter-seasonal drought characteristics using binary outcome panel data models. Geocarto Int. 38(1): 2178527.
   Web of Science ®Google Scholar
• Niaz R, Hussain I, Zhang X, Ali Z, Elashkar EE, Khader JA, Soudagar SS, Shoukry AM. 2021e. Prediction of drought severity using model-based clustering. Math Prob Eng. 2021:1–10.
   Web of Science ®Google Scholar
• Niaz R, Iqbal N, Al-Ansari N, Hussain I, Elsherbini Elashkar E, Shamshoddin Soudagar S, Gani SH, Mohamd Shoukry A, Sh Sammen S. 2022e. A new spatiotemporal two-stage standardized weighted procedure for regional drought analysis. PeerJ. 10:e13249.
   PubMed Web of Science ®Google Scholar
• Niaz R, Tanveer F, Almazah M, Hussain I, Alkhatib S, Al-Razami AY. 2022d. Characterization of meteorological drought using Monte Carlo Feature Selection and steady-state probabilities. Complexity. 2022:1–19.
   Web of Science ®Google Scholar
• Niaz R, Zhang X, Ali Z, Hussain I, Faisal M, Elashkar EE, Khader JA, Soudagar SS, Shoukry AM, Al-Deek FF. 2021f. A new propagation-based framework to enhance competency in regional drought monitoring. Tellus A: Dynamic Meteorol Oceanograph. 73(1):1975404.
   Web of Science ®Google Scholar
• Niaz R, Zhang X, Iqbal N, Almazah M, Hussain T, Hussain I. 2021c. Logistic regression analysis for spatial patterns of drought persistence. Complexity. 2021:1–13.
   Web of Science ®Google Scholar
• Noguera I, Vicente‐Serrano SM, Domínguez‐Castro F, Reig F. 2022. Assessment of parametric approaches to calculate the Evaporative Demand Drought Index. Int J Climatol. 42(2):834–849.
   Web of Science ®Google Scholar
• Orimoloye IR, Olusola AO, Belle JA, Pande CB, Ololade OO. 2022. Drought disaster monitoring and land use dynamics: identification of drought drivers using regression-based algorithms. Nat Hazards. 112(2):1085–1106.
   Web of Science ®Google Scholar
• Pachore AB, Regulwar DG. 2021. Meteorological drought analysis using SPI-6 for Marathwada Region, Maharashtra State, India. In: Advanced modelling and innovations in water resources engineering: select Proceedings of AMIWRE 2021. Singapore: Springer Singapore; p. 71–82.
   Google Scholar
• Pandey V, Srivastava PK, Mall RK, Munoz-Arriola F, Han D. 2022. Multi-satellite precipitation products for meteorological drought assessment and forecasting in Central India. Geocarto Int. 37(7):1899–1918.
   Web of Science ®Google Scholar
• SafarianZengir V, Sobhani B, Asghari S. 2020. Modeling and monitoring of drought for forecasting it, to reduce natural hazards atmosphere in western and north western part of Iran, Iran. Air Qual Atmos Health. 13(1):119–130.
   Web of Science ®Google Scholar
• Savari M, Damaneh HE, Damaneh HE. 2022. Drought vulnerability assessment: solution for risk alleviation and drought management among Iranian farmers. Int J Disaster Risk Reduct. 67:102654.
   Web of Science ®Google Scholar
• Shahpari G, Sadeghi H, Ashena M, García-León D. 2022. Drought effects on the Iranian economy: a computable general equilibrium approach. Environ Dev Sustain. 24(3):4110–4127.
   Web of Science ®Google Scholar
• Shams Esfandabadi H, Ghamary Asl M, Shams Esfandabadi Z, Gautam S, Ranjbari M. 2022. Drought assessment in paddy rice fields using remote sensing technology towards achieving food security and SDG2. BFJ. 124(12):4219–4233.
   Web of Science ®Google Scholar
• Sharma A, Sharma D, Panda SK. 2022. Assessment of spatiotemporal trend of precipitation indices and meteorological drought characteristics in the Mahi River basin, India. J Hydrol. 605:127314.
   Web of Science ®Google Scholar
• Shukla S, Wood AW. 2008. Use of a standardized runoff index for characterizing hydrologic drought. Geophys Res Lett. 35: L02405.
   PubMed Web of Science ®Google Scholar
• Tabari H, Nikbakht J, Hosseinzadeh Talaee P. 2013. Hydrological drought assessment in Northwestern Iran based on streamflow drought index (SDI). Water Resour Manage. 27(1):137–151.
   Web of Science ®Google Scholar
• Tesfamariam BG, Gessesse B, Melgani F. 2019. Characterizing the spatiotemporal distribution of meteorological drought as a response to climate variability: the case of rift valley lakes basin of Ethiopia. Weather Clim Extremes. 26:100237.
   Web of Science ®Google Scholar
• Topçu E, Seçkin N, Haktanır NA. 2022. Drought analyses of Eastern Mediterranean, Seyhan, Ceyhan, and ASI Basins by using aggregate drought index (ADI). Theor Appl Climatol. 147(3–4):909–924.
   Web of Science ®Google Scholar
• Tramblay Y, Koutroulis A, Samaniego L, Vicente-Serrano SM, Volaire F, Boone A, Le Page M, Llasat MC, Albergel C, Burak S, et al. 2020. Challenges for drought assessment in the Mediterranean region under future climate scenarios. Earth Sci Rev. 210:103348.
   Web of Science ®Google Scholar
• Van Loon AF. 2015. Hydrological drought explained. Wiley Interdiscip Rev: Water. 2(4):359–392.
   Web of Science ®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
• Vicente-Serrano SM, Beguería S, Lorenzo-Lacruz J, Camarero JJ, López-Moreno JI, Azorin-Molina C, Revuelto J, Morán-Tejeda E, Sanchez-Lorenzo A. 2012. Performance of drought indices for ecological, agricultural, and hydrological applications. Earth Interactions. 16(10):1–27.
   Web of Science ®Google Scholar
• Warrick RA, Bowden MJ. 1981. The changing impacts of droughts in the Great Plains. Center for Technology, Environment, and Development, Clark University.
   Google Scholar
• Waseem M, Ajmal M, Kim TW. 2015. Development of a new composite drought index for multivariate drought assessment. J Hydrol. 527:30–37.
   Web of Science ®Google Scholar
• Wens M, Johnson JM, Zagaria C, Veldkamp TI. 2019. Integrating human behavior dynamics into drought risk assessment—A sociohydrologic, agent‐based approach. Wiley Interdiscip Rev: Water. 6(4):e1345.
   Web of Science ®Google Scholar
• Wilhite D, Pulwarty RS. (Eds.) 2017. Drought and water crises: integrating science, management, and policy. CRC Press.
   Google Scholar
• Yildirim G, Rahman A. 2022. Spatiotemporal meteorological drought assessment: a case study in south-east Australia. Nat Hazards. 111(1):305–332.
   Web of Science ®Google Scholar
• Yue S, Yang F, Sheng X. 2022. Spatiotemporal evolution and the driving factors of meteorological drought in the Hun-Taizi River basin, NE China. J Water and Climate Change. 13(3):1326–1339.
   Web of Science ®Google Scholar
• Zambrano-Bigiarini, M. 2017. HydroT SM: Time series management, analysis and interpolation for hydrological modelling. R Package version 0.5-1.
   Google Scholar
• Zerouali B, Chettih M, Abda Z, Mesbah M, Santos CAG, Brasil Neto RM, da Silva RM. 2021. Spatiotemporal meteorological drought assessment in a humid Mediterranean region: case study of the Oued Sebaou basin (northern central Algeria). Nat Hazards. 108(1):689–709.
   Web of Science ®Google Scholar
• Zseleczky L, Yosef S. 2014. Are shocks really increasing?: a selective review of the global frequency, severity, scope, and impact of five types of shocks.
   Google Scholar