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Rainfall‐Runoff Modeling Using Crowdsourced Water Level Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Water level observations from unmanned aerial vehicles for improving estimates of surface water–groundwater interaction
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Upper and lower benchmarks in hydrological modelling
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Numerical troubles in conceptual hydrology: Approximations, absurdities and impact on hypothesis testing
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Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods
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The Trans‐African Hydro‐Meteorological Observatory ( TAHMO )
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Continuity vs. the Crowd—Tradeoffs Between Continuous and Intermittent Citizen Hydrology Streamflow Observations
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River flow forecasting through conceptual models part I — A discussion of principles
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Sustainable intensification of dairy production can reduce forest disturbance in Kenyan montane forests
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Social.Water—A crowdsourcing tool for environmental data acquisition
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Towards hydrological model calibration using river level measurements
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CMF: A Hydrological Programming Language Extension For Integrated Catchment Models
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Hydrological monitoring of poorly gauged basins based on rainfall–runoff modeling and spatial altimetry
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Filling the observational void: Scientific value and quantitative validation of hydrometeorological data from a community-based monitoring programme
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Demonstrating the value of community-based (‘citizen science’) observations for catchment modelling and characterisation
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Water balance estimation of a poorly gauged catchment in West Africa using dynamically downscaled meteorological fields and remote sensing information
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Improvements to a MODIS global terrestrial evapotranspiration algorithm
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A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET
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Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.07.337openalex-snapshot
Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects
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Web-Based Environmental Simulation: Bridging the Gap between Scientific Modeling and Decision-Making
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Global water data: A newly endangered species
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Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology
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“Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022
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CrowdHydrology: Crowdsourcing Hydrologic Data and Engaging Citizen Scientists
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Environmental Monitoring by Wireless Communication Networks
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CoCoRaHS: The Evolution and Accomplishments of a Volunteer Rain Gauge Network
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Improving Rainfall Measurement in Gauge Poor Regions Thanks to Mobile Telecommunication Networks
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Reference Crop Evapotranspiration from Temperature
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SPOTting Model Parameters Using a Ready-Made Python Package
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A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
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The Impact of Resource Utilization on the Hydrology of the Mau Hills Forest in Kenya
inferredcites →https://doi.org/10.3389/feart.2014.00026openalex-snapshot
Citizen science in hydrology and water resources: opportunities for knowledge generation, ecosystem service management, and sustainable development
inferredcites →https://doi.org/10.3389/feart.2019.00070openalex-snapshot
Virtual Staff Gauges for Crowd-Based Stream Level Observations
inferredcites →https://doi.org/10.3389/feart.2019.00128openalex-snapshot
Growing Pains of Crowdsourced Stream Stage Monitoring Using Mobile Phones: The Development of CrowdHydrology
inferredcites →https://doi.org/10.5194/hess-18-4113-2014openalex-snapshot
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inferredcites →https://doi.org/10.5194/hess-21-4895-2017openalex-snapshot
Information content of stream level class data for hydrological model calibration
inferredcites →https://doi.org/10.5194/hess-21-839-2017openalex-snapshot
Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?
inferredcites →https://doi.org/10.5194/hess-22-391-2018openalex-snapshot
Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy)
inferredcites →https://doi.org/10.5194/hess-22-4565-2018openalex-snapshot
Incremental model breakdown to assess the multi-hypotheses problem
inferredcites →https://doi.org/10.5194/hess-22-4981-2018openalex-snapshot
Assessment of hydrological pathways in East African montane catchments under different land use
inferredcites →https://doi.org/10.5194/hess-22-5243-2018openalex-snapshot
Value of uncertain streamflow observations for hydrological modelling
inferredcites →https://doi.org/10.5194/hess-23-1045-2019openalex-snapshot
Citizen science flow – an assessment of simple streamflow measurement methods
inferredcites →https://doi.org/10.5281/zenodo.1125290openalex-snapshot
philippkraft/cmf: 1.6 Improved dependency management
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Validierung dynamischer Vegetationsmodelle mit über Crowdsourcing erhobenen Phänologiedaten
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Citizen science data to improve rainfall-runoff model performance in urbanizing Akaki catchment, Awash Basin, Ethiopia
inferred← citeshttps://doi.org/10.1016/j.ejrh.2025.102450openalex-snapshot
Distributed simulation of fully coupled hydrological-hydrodynamic model for predicting rainfall-induced runoff/flood in small watersheds
inferred← citeshttps://doi.org/10.1016/j.envsoft.2024.106138openalex-snapshot
A unified runoff generation scheme for applicability across different hydrometeorological zones
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How to use general AI for task-specific applications: A case study of monitoring water level trends with river cameras
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inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.130639openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.130686openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jhydrol.2025.132897openalex-snapshot
Improving representation of hydrological process heterogeneity in grid-Xin’anjiang model through a stepwise approach
inferred← citeshttps://doi.org/10.1029/2019wr026108openalex-snapshot
Value of Crowd‐Based Water Level Class Observations for Hydrological Model Calibration
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Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management
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Advancing Process Representation in Hydrological Models: Integrating New Concepts, Knowledge, and Data
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Examining the Seasonal‐Transition Effect on Dissolved Carbon Sources and Exports in a Subtropical Headwater Catchment
inferred← citeshttps://doi.org/10.1080/02626667.2025.2489994openalex-snapshot
Value of water level class observations for parameter set selection in hydrological modelling
inferred← citeshttps://doi.org/10.1371/journal.pwat.0000405openalex-snapshot
Evaluating hydrological model performance using varying amounts of participatory monitoring water level data
inferred← citeshttps://doi.org/10.2166/hydro.2022.009openalex-snapshot
Estimating rainfall–runoff modeling using the rainfall prognostic model-based artificial framework with a well-ordered selective genetic algorithm
inferred← citeshttps://doi.org/10.2208/jscejj.25-27028openalex-snapshot
Impact of spatiotemporal resolution of rainfall data on runoff simulations: case study for the widespread flood event in the Noto Peninsula in September 2024
inferred← citeshttps://doi.org/10.22541/essoar.171104253.38492313/v1openalex-snapshot
Monitoring Water Level Using River Cameras: Integrating Domain-Specific Models and General AI For Transferable Water Segmentation
inferred← citeshttps://doi.org/10.22541/essoar.171104253.38492313/v2openalex-snapshot
Toward Transferable Water Level Trend Monitoring Using River Cameras: Integrating Domain-Specific Models and Segment Anything Model (SAM) for Water Segmentation
inferred← citeshttps://doi.org/10.22541/essoar.171104253.38492313/v3openalex-snapshot
Monitoring Water Level Trend Using River Cameras: Integrating Domain-Specific Models and Segment Anything Model (SAM) for Transferable Water Segmentation
inferred← citeshttps://doi.org/10.3389/feart.2020.602422openalex-snapshot
Crowdsourced Water Level Monitoring in Kenya’s Sondu-Miriu Basin—Who Is “The Crowd”?
inferred← citeshttps://doi.org/10.3389/feart.2026.1721642openalex-snapshot
Validation of analog sensor measurements in hydrometeorological participatory monitoring in various tropical countries
inferred← citeshttps://doi.org/10.3389/frwa.2023.1296434openalex-snapshot
Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina
inferred← citeshttps://doi.org/10.3390/hydrology13010026openalex-snapshot
Evaluation of a Computational Simulation Approach Combining GIS, 2D Hydraulic Software, and Deep Learning Technique for River Flood Extent Mapping
inferred← citeshttps://doi.org/10.3390/s22249718openalex-snapshot
Evaluating the Performance of Seven Ongoing Satellite Altimetry Missions for Measuring Inland Water Levels of the Great Lakes
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