Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 41 checked references that resolve
resolves10.5194/hess-19-1659-2015Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes
resolves10.1016/j.scitotenv.2018.12.397Flash-Flood Potential assessment in the upper and middle sector of Prahova river catchment (Romania). A comparative approach between four hybrid models
resolves10.1007/s12040-017-0828-9Flash-flood potential assessment and mapping by integrating the weights-of-evidence and frequency ratio statistical methods in GIS environment – case study: Bâsca Chiojdului River catchment (Romania)
resolves10.1080/19475705.2018.1480539The impact of human activities on the occurrence of mountain flood hazards: lessons from the 17 August 2015 flash flood/debris flow event in Xuyong County, south-western China
resolves10.1016/j.enconman.2014.04.028A new wind speed forecasting strategy based on the chaotic time series modelling technique and the Apriori algorithm
resolves10.1016/j.jhydrol.2016.03.007Initial soil moisture effects on flash flood generation – A comparison between basins of contrasting hydro-climatic conditions
resolves10.1038/ngeo944Skill in streamflow forecasts derived from large-scale estimates of soil moisture and snow
resolves10.5194/hess-15-425-2011Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
resolves10.5194/hessd-5-723-2008A stochastic approach for the description of the water balance dynamics in a river basin
resolves10.3390/rs10020292Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction
resolves10.1016/j.jhydrol.2017.05.024Assimilation of soil moisture and streamflow observations to improve flood forecasting with considering runoff routing lags
resolves10.1029/2003JD003823The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system
resolves10.1016/j.advwatres.2012.03.022Can ASCAT-derived soil wetness indices reduce predictive uncertainty in well-gauged areas? A comparison with in situ observed soil moisture in an assimilation application
resolves10.1007/s10346-016-0693-7Identification of causal factors for the Majiagou landslide using modern data mining methods
resolves10.1002/2015JD024646A diagnostic study on heavy rainfall induced by Typhoon Utor (2013) in South China: 1. Rainfall asymmetry at landfall
resolves10.1016/j.eswa.2012.08.028Association rule mining to detect factors which contribute to heart disease in males and females
resolves10.1016/j.jbi.2018.02.001Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data
resolves10.1016/j.eswa.2010.06.060Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence
resolves10.1016/j.jhydrol.2014.08.008Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment
resolves10.3390/rs5104961Comparison between SAR Soil Moisture Estimates and Hydrological Model Simulations over the Scrivia Test Site
resolves10.5194/hess-9-173-2005Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing
resolves10.1029/2018WR022643A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
resolves10.1080/19475705.2015.1012750Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS
resolves10.1007/s11707-017-0636-1Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania)
resolves10.1007/s11069-018-3404-yRainfall threshold determination for flash flood warning in mountainous catchments with consideration of antecedent soil moisture and rainfall pattern
resolves10.1002/hyp.7599Changing properties of hydrological extremes in south China: natural variations or human influences?
resolves10.1007/s00376-016-6128-5Spatial characteristics of extreme rainfall over China with hourly through 24-hour accumulation periods based on national-level hourly rain gauge data
The 6 references without a DOI — listed, not checked
no DOI — not checkedCIT0001
no DOI — not checkedCIT0002
no DOI — not checkedProceeding of 20th VLDB Conference;
no DOI — not checkedCIT0022
no DOI — not checkedAMSR-E/Aqua Daily L3 surface soil moisture, interpretive parameters, & QC EASE-grids, version 2. Boulder
no DOI — not checkedWagner W, Dorigo W, de Jeu R, Fernandez D, Benveniste J, Haas E, Ertl M. 2012. Fusion of active and passive microwave observations to create an essential climate variable data record on soil moisture. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), Volume I–7, XXII ISPRS Congress; August 25–September 1; Melbourne, Australia. p. 315–321.
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