Peterson et al., 2014 - Google Patents
Multiple hydrological attractors under stochastic daily forcing: 1. Can multiple attractors exist?Peterson et al., 2014
View PDF- Document ID
- 2068283593429973276
- Author
- Peterson T
- Western A
- Publication year
- Publication venue
- Water resources research
External Links
Snippet
Including positive feedbacks in hydrological models has recently been shown to result in complex behavior with multiple steady states. When a large disturbance, say a major drought, is simulated within such models the hydrology changes. Once the disturbance ends …
- 230000002354 daily 0 title abstract description 42
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/24—Editing, e.g. insert/delete
- G06F17/246—Spreadsheets
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30312—Storage and indexing structures; Management thereof
- G06F17/30321—Indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30289—Database design, administration or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30994—Browsing or visualization
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V99/00—Subject matter not provided for in other groups of this subclass
- G01V99/005—Geomodels or geomodelling, not related to particular measurements
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Maxwell et al. | Surface‐subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks | |
Peterson et al. | Nonlinear time‐series modeling of unconfined groundwater head | |
Li et al. | Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods | |
Tonkin et al. | Calibration‐constrained Monte Carlo analysis of highly parameterized models using subspace techniques | |
Cea et al. | A simple and efficient unstructured finite volume scheme for solving the shallow water equations in overland flow applications | |
Nowak | Best unbiased ensemble linearization and the quasi‐linear Kalman ensemble generator | |
Hao et al. | Modeling multisite streamflow dependence with maximum entropy copula | |
Mo et al. | A Taylor expansion‐based adaptive design strategy for global surrogate modeling with applications in groundwater modeling | |
Tsai et al. | Global‐local optimization for parameter structure identification in three‐dimensional groundwater modeling | |
Zhou et al. | A pattern‐search‐based inverse method | |
Ogden et al. | A new general 1‐D vadose zone flow solution method | |
Comolli et al. | Mechanisms, upscaling, and prediction of anomalous dispersion in heterogeneous porous media | |
Peterson et al. | Analytical methods for ecosystem resilience: A hydrological investigation | |
Peterson et al. | Multiple hydrological attractors under stochastic daily forcing: 1. Can multiple attractors exist? | |
Kavetski et al. | Semidistributed hydrological modeling: A “saturation path” perspective on TOPMODEL and VIC | |
Campforts et al. | Keeping the edge: A numerical method that avoids knickpoint smearing when solving the stream power law | |
Pasetto et al. | A reduced‐order model for groundwater flow equation with random hydraulic conductivity: Application to Monte Carlo methods | |
Nordbotten | Finite volume hydromechanical simulation in porous media | |
Younes et al. | Solving density driven flow problems with efficient spatial discretizations and higher-order time integration methods | |
Beegum et al. | Implementation of Solute Transport in the Vadose Zone into the “HYDRUS Package for MODFLOW” | |
Li et al. | Novel multiple resolutions design of experiment/response surface methodology for uncertainty analysis of reservoir simulation forecasts | |
Moutsopoulos | Solutions of the Boussinesq equation subject to a nonlinear Robin boundary condition | |
Camporese et al. | Catchment‐scale Richards equation‐based modeling of evapotranspiration via boundary condition switching and root water uptake schemes | |
Siade et al. | A practical, robust methodology for acquiring new observation data using computationally expensive groundwater models | |
James et al. | Practical postcalibration uncertainty analysis: Yucca Mountain, Nevada |