{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T13:39:46Z","timestamp":1774618786707,"version":"3.50.1"},"reference-count":107,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T00:00:00Z","timestamp":1710028800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Natural Science Foundation of China (NSFC) General Program","award":["41971386"],"award-info":[{"award-number":["41971386"]}]},{"name":"the Natural Science Foundation of China (NSFC) General Program","award":["42271416"],"award-info":[{"award-number":["42271416"]}]},{"name":"the Natural Science Foundation of China (NSFC) General Program","award":["HKBU12301820"],"award-info":[{"award-number":["HKBU12301820"]}]},{"name":"the Natural Science Foundation of China (NSFC) General Program","award":["42201319"],"award-info":[{"award-number":["42201319"]}]},{"name":"the Hong Kong Research Grant Council (RGC) General Research Fund","award":["41971386"],"award-info":[{"award-number":["41971386"]}]},{"name":"the Hong Kong Research Grant Council (RGC) General Research Fund","award":["42271416"],"award-info":[{"award-number":["42271416"]}]},{"name":"the Hong Kong Research Grant Council (RGC) General Research Fund","award":["HKBU12301820"],"award-info":[{"award-number":["HKBU12301820"]}]},{"name":"the Hong Kong Research Grant Council (RGC) General Research Fund","award":["42201319"],"award-info":[{"award-number":["42201319"]}]},{"name":"NSFC General Program","award":["41971386"],"award-info":[{"award-number":["41971386"]}]},{"name":"NSFC General Program","award":["42271416"],"award-info":[{"award-number":["42271416"]}]},{"name":"NSFC General Program","award":["HKBU12301820"],"award-info":[{"award-number":["HKBU12301820"]}]},{"name":"NSFC General Program","award":["42201319"],"award-info":[{"award-number":["42201319"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Gaining a comprehensive understanding of the characteristics and propagation of precipitation-based meteorological drought to terrestrial water storage (TWS)-derived hydrological drought is of the utmost importance. This study aims to disentangle the frequency\u2013time relationship between precipitation-derived meteorological and TWS-based hydrological drought from June 2002 to June 2017 based on the Standardized Precipitation Index (SPI) and Standardized Terrestrial Water Storage Index (STI) by employing wavelet coherence rather than a traditional correlation coefficient. The possible influencing factors on drought propagation in 28 regions across the world are examined. The results show that the number of drought months detected by the STI is higher than that detected by the SPI worldwide, especially for slight and moderate drought. Generally, TWS-derived hydrological drought is triggered by and occurs later than precipitation-based meteorological drought. The propagation characteristics between meteorological and hydrological droughts vary by region across the globe. Apparent intra-annual and interannual scales are detected by wavelet analysis in most regions, but not in the polar climate region. Drought propagation differs in phase lags in different regions. The phase lag between hydrological and meteorological drought ranges from 0.5 to 4 months on the intra-annual scale and from 1 to 16 months on the interannual scale. Drought propagation is influenced by multiple factors, among which the El Ni\u00f1o\u2013Southern Oscillation, North Atlantic Oscillation, and potential evapotranspiration are the most influential when considering one, two, or three factors, respectively. The findings of this study improve scientific understanding of drought propagation mechanisms over a global scale and provide support for water management in different subregions.<\/jats:p>","DOI":"10.3390\/rs16060976","type":"journal-article","created":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T08:56:41Z","timestamp":1710147401000},"page":"976","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Propagation Dynamics from Meteorological Drought to GRACE-Based Hydrological Drought and Its Influencing Factors"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9069-4306","authenticated-orcid":false,"given":"Aihong","family":"Cui","sequence":"first","affiliation":[{"name":"Department of Geography, Hong Kong Baptist University, Hong Kong, China"}]},{"given":"Jianfeng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Geography, Hong Kong Baptist University, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0934-0602","authenticated-orcid":false,"given":"Qiming","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Geography, Hong Kong Baptist University, Hong Kong, China"},{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"given":"Honglin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Geography, Hong Kong Baptist University, Hong Kong, China"}]},{"given":"Huizeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7724-0385","authenticated-orcid":false,"given":"Chao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2275-6530","authenticated-orcid":false,"given":"Guofeng","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China"}]},{"given":"Qingquan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111980","DOI":"10.1016\/j.jenvman.2021.111980","article-title":"Propagation of meteorological to hydrological drought for different climate regions in China","volume":"283","author":"Ding","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jhydrol.2010.07.012","article-title":"A review of drought concepts","volume":"391","author":"Mishra","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2792","DOI":"10.1002\/joc.3875","article-title":"World drought frequency, duration, and severity for 1951\u20132010","volume":"34","author":"Spinoni","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1080\/02508068508686328","article-title":"Understanding: The Drought Phenomenon: The Role of Definitions","volume":"10","author":"Wilhite","year":"1985","journal-title":"Water Int."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11069-019-03676-3","article-title":"Characteristics of drought propagation in South Korea: Relationship between meteorological, agricultural, and hydrological droughts","volume":"99","author":"Bae","year":"2019","journal-title":"Nat. Hazards"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"135149","DOI":"10.1016\/j.scitotenv.2019.135149","article-title":"Consistency of agricultural drought characterization over Upper Greater Horn of Africa (1982\u20132013): Topographical, gauge density, and model forcing influence","volume":"709","author":"Agutu","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1007\/s11442-016-1297-9","article-title":"Agricultural drought monitoring: Progress, challenges, and prospects","volume":"26","author":"Liu","year":"2016","journal-title":"J. Geogr. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1002\/wat2.1085","article-title":"Hydrological drought explained","volume":"2","year":"2015","journal-title":"WIREs Water"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1007\/s11269-008-9305-1","article-title":"Assessment of Hydrological Drought Revisited","volume":"23","author":"Nalbantis","year":"2009","journal-title":"Water Resour. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"7520","DOI":"10.1002\/2015JD023147","article-title":"A hybrid framework for assessing socioeconomic drought: Linking climate variability, local resilience, and demand","volume":"120","author":"Mehran","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"9304","DOI":"10.1002\/2017WR021445","article-title":"Understanding the Role of Climate Characteristics in Drought Propagation","volume":"53","author":"Apurv","year":"2017","journal-title":"Water Resour. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1029\/1998WR900071","article-title":"On the asymmetric response of aquifer water level to floods and droughts in Illinois","volume":"35","author":"Eltahir","year":"1999","journal-title":"Water Resour. Res."},{"key":"ref_13","unstructured":"Changon, S.A. (1987). Detecting Drought Conditions."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"136502","DOI":"10.1016\/j.scitotenv.2020.136502","article-title":"Propagation thresholds of meteorological drought for triggering hydrological drought at various levels","volume":"712","author":"Guo","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"6547209","DOI":"10.1155\/2016\/6547209","article-title":"Propagation of drought: From meteorological drought to agricultural and hydrological drought","volume":"2016","author":"Wang","year":"2016","journal-title":"Adv. Meteorol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"105799","DOI":"10.1016\/j.ecoleng.2020.105799","article-title":"Exploring the influence of climate change-induced drought propagation on wetlands","volume":"149","author":"Jehanzaib","year":"2020","journal-title":"Ecol. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Wang, J., Wang, W., Cheng, H., Wang, H., and Zhu, Y. (2021). Propagation from Meteorological to Hydrological Drought and Its Influencing Factors in the Huaihe River Basin. Water, 13.","DOI":"10.3390\/w13141985"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s11269-016-1513-5","article-title":"Identification and Analysis of Drought Propagation of Groundwater During Past and Future Periods","volume":"31","author":"Ghasemieh","year":"2017","journal-title":"Water Resour. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s00477-019-01760-5","article-title":"Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections","volume":"34","author":"Jehanzaib","year":"2020","journal-title":"Stoch. Environ. Res. Risk Assess."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"104743","DOI":"10.1016\/j.atmosres.2019.104743","article-title":"Investigation to the relation between meteorological drought and hydrological drought in the upper Shaying River Basin using wavelet analysis","volume":"234","author":"Li","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3354\/cr01177","article-title":"Hydrological drought response to meteorological drought in the Iberian Peninsula","volume":"58","author":"Cortesi","year":"2013","journal-title":"Clim. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"124102","DOI":"10.1016\/j.jhydrol.2019.124102","article-title":"Propagation dynamics from meteorological to groundwater drought and their possible influence factors","volume":"578","author":"Han","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"126907","DOI":"10.1016\/j.jhydrol.2021.126907","article-title":"A global perspective on the probability of propagation of drought: From meteorological to soil moisture","volume":"603","author":"Zhu","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4649","DOI":"10.5194\/hess-22-4649-2018","article-title":"The effect of climate type on timescales of drought propagation in an ensemble of global hydrological models","volume":"22","author":"Gevaert","year":"2018","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2439","DOI":"10.1007\/s11269-019-02278-9","article-title":"Probabilistic Characteristics of Drought Propagation from Meteorological to Hydrological Drought in South Korea","volume":"33","author":"Sattar","year":"2019","journal-title":"Water Resour. Manag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1016\/j.aej.2020.01.050","article-title":"Drought response analysis based on cross wavelet transform and mutual entropy","volume":"59","author":"Li","year":"2020","journal-title":"Alexandria Eng. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"125287","DOI":"10.1016\/j.jhydrol.2020.125287","article-title":"Identifying drought propagation by simultaneously considering linear and nonlinear dependence in the Wei River basin of the Loess Plateau, China","volume":"591","author":"Fang","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"107809","DOI":"10.1016\/j.agrformet.2019.107809","article-title":"Quantitative analysis of agricultural drought propagation process in the Yangtze River Basin by using cross wavelet analysis and spatial autocorrelation","volume":"280","author":"Li","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"126871","DOI":"10.1016\/j.jhydrol.2021.126871","article-title":"Use of a multiscalar GRACE-based standardized terrestrial water storage index for assessing global hydrological droughts","volume":"603","author":"Cui","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1981","DOI":"10.1175\/JHM-D-18-0253.1","article-title":"Differences in Response of Terrestrial Water Storage Components to Precipitation over 168 Global River Basins","volume":"20","author":"Zhang","year":"2019","journal-title":"J. Hydrometeorol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1126\/science.1227079","article-title":"Detecting Causality in Complex Ecosystems","volume":"338","author":"Sugihara","year":"2012","journal-title":"Science"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e2021GL096758","DOI":"10.1029\/2021GL096758","article-title":"A New Perspective on Drought Propagation: Causality","volume":"49","author":"Shi","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"321","DOI":"10.5194\/hess-25-321-2021","article-title":"Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences","volume":"25","author":"Hu","year":"2021","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"561","DOI":"10.5194\/npg-11-561-2004","article-title":"Application of the cross wavelet transform and wavelet coherence to geophysical time series","volume":"11","author":"Grinsted","year":"2004","journal-title":"Nonlinear Process. Geophys."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"124475","DOI":"10.1016\/j.jhydrol.2019.124475","article-title":"Water storage redistribution over East China, between 2003 and 2015, driven by intra- and inter-annual climate variability","volume":"583","author":"He","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/S0987-7053(02)00301-5","article-title":"Estimating the time-course of coherence between single-trial brain signals: An introduction to wavelet coherence","volume":"32","author":"Lachaux","year":"2002","journal-title":"Neurophysiol. Clin."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Wijesekara, C., Tittagalla, C., Jayathilaka, A., Ilukpotha, U., Jayathilaka, R., and Jayasinghe, P. (2022). Tourism and economic growth: A global study on Granger causality and wavelet coherence. PLoS ONE, 17.","DOI":"10.1371\/journal.pone.0274386"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e2020WR027755","DOI":"10.1029\/2020WR027755","article-title":"Drought Propagation in Contiguous U.S. Watersheds: A Process-Based Understanding of the Role of Climate and Watershed Properties","volume":"56","author":"Apurv","year":"2020","journal-title":"Water Resour. Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"127897","DOI":"10.1016\/j.jhydrol.2022.127897","article-title":"Propagation characteristics and mechanism from meteorological to agricultural drought in various seasons","volume":"610","author":"Dai","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"193","DOI":"10.2166\/nh.2021.006","article-title":"Propagation dynamics and causes of hydrological drought in response to meteorological drought at seasonal timescales","volume":"53","author":"Ma","year":"2022","journal-title":"Hydrol. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"127056","DOI":"10.1016\/j.jhydrol.2021.127056","article-title":"A new approach to quantify propagation time from meteorological to hydrological drought","volume":"603","author":"Ho","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"100505","DOI":"10.1016\/j.wace.2022.100505","article-title":"Spatiotemporal characteristics of meteorological to hydrological drought propagation under natural conditions in China","volume":"38","author":"Zhang","year":"2022","journal-title":"Weather. Clim. Extrem."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"156021","DOI":"10.1016\/j.scitotenv.2022.156021","article-title":"Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors","volume":"838","author":"Zhang","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1740","DOI":"10.1126\/science.1132588","article-title":"ENSO as an Integrating Concept in Earth Science","volume":"314","author":"McPhaden","year":"2006","journal-title":"Science"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s10584-019-02588-2","article-title":"Identifying the footprints of global climate modes in time-variable gravity hydrological signals","volume":"159","author":"Ndehedehe","year":"2020","journal-title":"Clim. Chang."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/s43017-020-0040-3","article-title":"Climate impacts of the El Ni\u00f1o\u2013Southern Oscillation on South America","volume":"1","author":"Cai","year":"2020","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.jhydrol.2015.09.016","article-title":"A global analysis of the asymmetric effect of ENSO on extreme precipitation","volume":"530","author":"Sun","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1038\/s41561-021-00819-9","article-title":"ENSO-driven coupled megadroughts in North and South America over the last millennium","volume":"14","author":"Steiger","year":"2021","journal-title":"Nat. Geosci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"5059","DOI":"10.1175\/JCLI-D-16-0844.1","article-title":"The Northern Hemisphere Extratropical Atmospheric Circulation Response to ENSO: How Well Do We Know It and How Do We Evaluate Models Accordingly?","volume":"30","author":"Deser","year":"2017","journal-title":"J. Clim."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s00382-002-0281-5","article-title":"The North Atlantic Oscillation in coupled climate models: A CMIP1 evaluation","volume":"20","author":"Stephenson","year":"2003","journal-title":"Clim. Dyn."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"20502","DOI":"10.1029\/2009GL039798","article-title":"Surface melt area variability of the Greenland ice sheet: 1979\u20132008","volume":"36","author":"Bhattacharya","year":"2009","journal-title":"Geophys. Res. Lett."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1007\/s00704-018-2379-7","article-title":"Winter North Atlantic Oscillation impact on European precipitation and drought under climate change","volume":"135","author":"Tsanis","year":"2019","journal-title":"Theor. Appl. Climatol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1038\/43854","article-title":"A dipole mode in the tropical Indian ocean","volume":"401","author":"Saji","year":"1999","journal-title":"Nature"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1038\/nature05477","article-title":"Seasonal characteristics of the Indian Ocean Dipole during the Holocene epoch","volume":"445","author":"Abram","year":"2007","journal-title":"Nature"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1038\/s41558-019-0456-2","article-title":"Contributions of GRACE to understanding climate change","volume":"9","author":"Tapley","year":"2019","journal-title":"Nat. Clim. Chang."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.rse.2017.06.026","article-title":"GRACE Groundwater Drought Index: Evaluation of California Central Valley groundwater drought","volume":"198","author":"Thomas","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1016\/j.jhydrol.2018.11.030","article-title":"Assessment of hydrological drought and its recovery time for eight tributaries of the Yangtze River (China) based on downscaled GRACE data","volume":"568","author":"Zhang","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1038\/s41558-020-00972-w","article-title":"Global terrestrial water storage and drought severity under climate change","volume":"11","author":"Pokhrel","year":"2021","journal-title":"Nat. Clim. Chang."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"7547","DOI":"10.1002\/2016JB013007","article-title":"High-resolution CSR GRACE RL05 mascons","volume":"121","author":"Save","year":"2016","journal-title":"J. Geophys. Res. Solid. Earth"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1002\/joc.3711","article-title":"Updated high-resolution grids of monthly climatic observations\u2014The CRU TS3.10 Dataset","volume":"34","author":"Harris","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"D05127","DOI":"10.1029\/2011JD017139","article-title":"Hemispheric and large-scale land-surface air temperature variations: An extensive revision and an update to 2010","volume":"117","author":"Jones","year":"2012","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/0304-3991(81)90061-9","article-title":"Bilinear interpolation of digital images","volume":"6","author":"Smith","year":"1981","journal-title":"Ultramicroscopy"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1175\/1520-0493(1982)110<0354:VITSST>2.0.CO;2","article-title":"Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation\/El Nino","volume":"110","author":"Rasmusson","year":"1982","journal-title":"Mon. Weather Rev."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.1175\/1520-0442(2001)014<1697:LIOENO>2.0.CO;2","article-title":"Indices of El Ni\u00f1o evolution","volume":"14","author":"Trenberth","year":"2001","journal-title":"J. Clim."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1175\/1520-0477(1997)078<2771:TDOENO>2.0.CO;2","article-title":"The Definition of El Ni\u00f1o","volume":"78","author":"Trenberth","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1175\/1520-0477(1997)078<1069:APICOW>2.0.CO;2","article-title":"A Pacific Interdecadal Climate Oscillation with Impacts on Salmon Production","volume":"78","author":"Mantua","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1175\/1520-0442(1997)010<1004:ELIV>2.0.CO;2","article-title":"ENSO-like Interdecadal Variability: 1900\u201393","volume":"10","author":"Zhang","year":"1997","journal-title":"J. Clim."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.1175\/1520-0442(2004)017<2466:IEROS>2.0.CO;2","article-title":"Improved extended reconstruction of SST (1854\u20131997)","volume":"17","author":"Smith","year":"2004","journal-title":"J. Clim."},{"key":"ref_69","unstructured":"Mckee, T.B., Doesken, N.J., and Kleist, J. (1993, January 17\u201322). The relationship of drought frequency and duration to time scales. Proceedings of the Eighth Conference on Applied Climatology, Anaheim, CA, USA."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1007\/s00704-016-1870-2","article-title":"Comparison of SPI and SPEI applicability for drought impact assessment on crop production in the Danubian Lowland and the East Slovakian Lowland","volume":"128","author":"Labuda","year":"2017","journal-title":"Theor. Appl. Climatol."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"2409068","DOI":"10.1155\/2020\/2409068","article-title":"Meteorological Drought, Hydrological Drought, and NDVI in the Heihe River Basin, Northwest China: Evolution and Propagation","volume":"2020","author":"Zhong","year":"2020","journal-title":"Adv. Meteorol."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1007\/s12040-016-0703-0","article-title":"Investigation of hydrological drought using cumulative standardized precipitation index (SPI 30) in the eastern Mediterranean region (Damascus, Syria)","volume":"125","author":"Zakhem","year":"2016","journal-title":"J. Earth Syst. Sci."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1867","DOI":"10.1007\/s11269-009-9528-9","article-title":"Karst spring discharges analysis in relation to drought periods, using the SPI","volume":"24","author":"Fiorillo","year":"2010","journal-title":"Water Resour. Manag."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"2117","DOI":"10.1175\/JHM-D-16-0182.1","article-title":"A Global Gridded Dataset of GRACE Drought Severity Index for 2002\u201314: Comparison with PDSI and SPEI and a Case Study of the Australia Millennium Drought","volume":"18","author":"Zhao","year":"2017","journal-title":"J. Hydrometeorol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1007\/s11269-017-1869-1","article-title":"A Global Hydrological Drought Index Dataset Based on Gravity Recovery and Climate Experiment (GRACE) Data","volume":"32","author":"Nie","year":"2018","journal-title":"Water Resour. Manag."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1080\/01621459.1967.10482916","article-title":"On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown","volume":"62","author":"Lilliefors","year":"1967","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"245","DOI":"10.2307\/1907187","article-title":"Nonparametric Tests Against Trend","volume":"13","author":"Mann","year":"1945","journal-title":"Econometrica"},{"key":"ref_78","unstructured":"Kendall, M. (1975). Rank Correlation Measures, Charles Griffin."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the Regression Coefficient Based on Kendall\u2019s Tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1175\/1520-0477(1998)079<0061:APGTWA>2.0.CO;2","article-title":"A Practical Guide to Wavelet Analysis","volume":"79","author":"Torrence","year":"1998","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.jmarsys.2009.01.021","article-title":"Diurnal thermocline oscillations driven by tidal flow around an island in the Middle Adriatic","volume":"78","year":"2009","journal-title":"J. Mar. Syst."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"1845","DOI":"10.1175\/JTECH-D-12-00056.1","article-title":"Geophysical applications of partial wavelet coherence and multiple wavelet coherence","volume":"29","author":"Ng","year":"2012","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"3697","DOI":"10.1002\/hyp.11289","article-title":"Temporally stable patterns but seasonal dependent controls of soil water content: Evidence from wavelet analyses","volume":"31","author":"Hu","year":"2017","journal-title":"Hydrol. Process."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"3651","DOI":"10.5194\/hess-18-3651-2014","article-title":"Linkages between ENSO\/PDO signals and precipitation, streamflow in China during the last 100 years","volume":"18","author":"Ouyang","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1002\/joc.3707","article-title":"Changes in extreme temperature and precipitation in the Arab region: Long-term trends and variability related to ENSO and NAO","volume":"34","author":"Donat","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2004GL021752","article-title":"The Arctic climate paradox: The recent decrease of the Arctic Oscillation","volume":"32","author":"Overland","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1175\/1520-0442(1991)004<0517:TPATPA>2.0.CO;2","article-title":"The Pacific\/North American Teleconnection Pattern and United States Climate. Part I: Regional Temperature and Precipitation Associations","volume":"4","author":"Leathers","year":"1991","journal-title":"J. Clim."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"e2022GL100965","DOI":"10.1029\/2022GL100965","article-title":"South Pacific Ocean Dynamics Redistribute Ocean Heat Content and Modulate Heat Exchange with the Atmosphere","volume":"49","author":"Fernandez","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1029\/2018JF004766","article-title":"Suspended Sediments in Chilean Rivers Reveal Low Postseismic Erosion After the Maule Earthquake (Mw 8.8) During a Severe Drought","volume":"124","author":"Tolorza","year":"2019","journal-title":"J. Geophys. Res. Earth Surf."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"1633","DOI":"10.5194\/hess-11-1633-2007","article-title":"Updated world map of the K\u00f6ppen-Geiger climate classification","volume":"11","author":"Peel","year":"2007","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1038\/nature04744","article-title":"Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing","volume":"441","author":"Vecchi","year":"2006","journal-title":"Nature"},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Lee, J.E., Lintner, B.R., Boyce, C.K., and Lawrence, P.J. (2011). Land use change exacerbates tropical South American drought by sea surface temperature variability. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL049066"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"024003","DOI":"10.1088\/1748-9326\/6\/2\/024003","article-title":"Dynamics of the larch taiga-permafrost coupled system in Siberia under climate change","volume":"6","author":"Zhang","year":"2011","journal-title":"Environ. Res. Lett."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"103134","DOI":"10.1016\/j.gloplacha.2020.103134","article-title":"An entropy-based analysis method of precipitation isotopes revealing main moisture transport corridors globally","volume":"187","author":"Wang","year":"2020","journal-title":"Glob. Planet. Chang."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1002\/joc.7266","article-title":"Spatio-temporal variability of dryness and wetness based on standardized precipitation evapotranspiration index and standardized wetness index and its relation to the normalized difference vegetation index","volume":"42","author":"Lv","year":"2021","journal-title":"Int. J. Climatol."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"4932","DOI":"10.1029\/2018JD029842","article-title":"Multiple-Wavelet Coherence of World\u2019s Large Rivers With Meteorological Factors and Ocean Signals","volume":"124","author":"Su","year":"2019","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.rse.2016.12.010","article-title":"Studying drought phenomena in the Continental United States in 2011 and 2012 using various drought indices","volume":"190","author":"Zhang","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"125906","DOI":"10.1016\/j.jhydrol.2020.125906","article-title":"Propagation of soil moisture droughts in a hotspot region: Spatial pattern and temporal trajectory","volume":"593","author":"Liu","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.jhydrol.2017.01.041","article-title":"The propagation from meteorological to hydrological drought and its potential influence factors","volume":"547","author":"Huang","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1038\/s41561-022-00912-7","article-title":"Drought self-propagation in drylands due to land\u2013atmosphere feedbacks","volume":"15","author":"Schumacher","year":"2022","journal-title":"Nat. Geosci."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"229","DOI":"10.3354\/cr01409","article-title":"Linkages between snow cover, temperature and rainfall and the North Atlantic Oscillation over Morocco","volume":"69","author":"Marchane","year":"2016","journal-title":"Clim. Res."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.1007\/s00382-022-06450-7","article-title":"Linking the North Atlantic Oscillation to winter precipitation over the Western Himalaya through disturbances of the subtropical jet","volume":"60","author":"Hunt","year":"2022","journal-title":"Clim. Dyn."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.1175\/JCLI-D-14-00372.1","article-title":"A decadal-scale teleconnection between the North Atlantic Oscillation and subtropical eastern Australian rainfall","volume":"28","author":"Sun","year":"2015","journal-title":"J. Clim."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"736085","DOI":"10.3389\/fphy.2021.736085","article-title":"The Effect of the Arctic Oscillation on the Predictability of Mid-High Latitude Circulation in December","volume":"9","author":"Zheng","year":"2021","journal-title":"Front. Phys."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"065010","DOI":"10.1088\/1748-9326\/ac7061","article-title":"The roles of global warming and Arctic Oscillation in the winter 2020 extremes in East Asia","volume":"17","author":"Kim","year":"2022","journal-title":"Environ. Res. Lett."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"151","DOI":"10.3354\/cr025151","article-title":"Possible impacts of Indian Ocean Dipole mode events on global climate","volume":"25","author":"Saji","year":"2003","journal-title":"Clim. Res."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"8021","DOI":"10.1175\/JCLI-D-15-0078.1","article-title":"Seasonality and predictability of the Indian Ocean dipole mode: ENSO forcing and internal variability","volume":"28","author":"Yang","year":"2015","journal-title":"J. Clim."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/6\/976\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:11:41Z","timestamp":1760105501000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/6\/976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,10]]},"references-count":107,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["rs16060976"],"URL":"https:\/\/doi.org\/10.3390\/rs16060976","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,10]]}}}