Evaluating the ability
of a hydrologic model to replicate hydro - ecologically relevant indicators.
Calibration
of hydrologic models is limited by the length of the historical river data.
Not exact matches
They also used a physically based computer
model of the
hydrologic cycle, which takes daily weather observations and computes the snow accumulation, melting, and runoff to estimate the total snowpack in the western U.S.
In several other studies, including a number that examined flooding in the Clear Creek watershed, Blessing, Brody, Sebastian and SSPEED colleagues have shown that other approaches, like distributed
hydrologic modeling and probabilistic flood plain mapping, can be far more predictive
of flood damages and flood risk.
But a large piece
of the puzzle is missing, he added, because climate
models have not been able to reproduce an early Mars climate sufficiently warm enough to promote an active
hydrologic cycle.
Chapter C: Numerical
Model of the
Hydrologic Landscape and Groundwater Flow in California's Central Valley.
Bridget Scanlon discusses the use
of global
hydrologic models for studying changes in water storage worldwide.
Modeling changes in the observed harmonic frequencies indicates that the spectral characteristics
of seismic data can provide important information about hydraulic fracture geometry and fluid pressure at depth, leading to important insights into subglacial
hydrologic processes.
The Washington assessment is the first to combine such a diverse and detailed set
of climate
models, fine spatial resolution, and
hydrologic modeling into an integrated climate impacts assessment.
His work mainly focuses on remote sensing
of precipitation,
hydrologic applications, and the analysis
of extreme weather and climatic events using observation and
models.
After finishing his Ph.D. (University
of Extremadura, Spain) on integrated physics - based
hydrologic modeling for semiarid rangelands, he worked as a postdoctoral researcher at UC Davis on the interactions between hydrology and agriculture in tropical regions.
A
model for the
hydrologic and climatic behavior
of water on Mars.
From reading the paragraph, I conclude that prediction
of climate using climate
models is similar to prediction
of river flood levels using
hydrologic models.
I encountered «great difficulties» from Jan
of 2000 until July
of 2005 as a result
of my concerns with climate change effects on
hydrologic modeling and flood prediction.
The issue with the Mauritsen and Stevens piece is that it tries to go well beyond a «what if»
modeling experiment, and attempts to make contact with a lot
of other issues related to historical climate change (the hiatus, changes in the
hydrologic cycle, observed tropical lapse rate «hotspot» stuff, changes in the atmsopheric circulation, etc) by means
of what the «iris» should look like in other climate signals.
Water levels: The 2009 NCA93 included predictions
of a significant drop in Great Lakes levels by the end
of the century, based on methods
of linking climate
models to
hydrologic models.
When referring to the Station
Hydrologic Model Output data retrieved from the website or found otherwise, the source must be clearly stated: Pacific Climate Impacts Consortium, University
of Victoria, (Jan. 2014).
When referring to the Gridded
Hydrologic Model Output data retrieved from the website or found otherwise, the source must be clearly stated: Pacific Climate Impacts Consortium, University
of Victoria, (Jan. 2014).
Shrestha, R. R., M. A. Schnorbus, A. T. Werner, and A. J. Berland, 2012:
Modelling spatial and temporal variability
of hydrologic impacts
of climate change in the Fraser River basin, British Columbia, Canada.
The
Hydrologic Impacts theme is concerned with estimating the effects of climate variability and change on water resources using downscaled global climate models and hydrolog
Hydrologic Impacts theme is concerned with estimating the effects
of climate variability and change on water resources using downscaled global climate
models and
hydrologichydrologic models.
Application
of the VIC
model and the generation
of hydrologic projections for the Peace, Fraser, upper Columbia and Campbell River watersheds are described in Shrestha et al. (2012) and Schnorbus et al. (2011, 2014).
This is primarily due to
model - to -
model differences in simulating the
hydrologic cycle and in representations and emissions
of non-methane hydrocarbons, which can be chemically oxidized into CO..
Wood, A. W., L. R. Leung, V. Sridhar, and D. P. Lettenmaier, 2004:
Hydrologic implications
of dynamical and statistical approaches to downscaling climate
model outputs (link is external).
Wood, A.W., L.R Leung, V. Sridhar, and D.P. Lettenmaier, 2004:
Hydrologic implications
of dynamical and statistical approaches to downscaling climate
model outputs.
Wood, A. W., A. Kumar, and D. P. Lettenmaier, 2005: A retrospective assessment
of National Centers for Environmental Prediction climate
model — based ensemble
hydrologic forecasting in the western United States.
A retrospective assessment
of National Centers for Environmental Prediction climate
model — based ensemble
hydrologic forecasting in the western United States
Schnorbus, M., K. Bennett and A. Werner, 2010: Quantifying the water resource impacts
of mountain pine beetle and associated salvage harvest operations across a range
of watershed scales:
Hydrologic modeling of the Fraser River Basin.
They then combined it with a global
hydrologic model — validated with ground information and NASA satellite data — to trace the sources
of water used to produce 26 specific crop classes from their country
of origin to their final destination.
Researchers at CIRES» National Snow and Ice Data Center [About NSIDC] investigate the dynamics
of Antarctic ice shelves, new techniques for the remote sensing
of snow and freeze / thaw cycle
of soils, the role
of snow in
hydrologic modeling, linkages between changes in sea ice extent and weather patterns, large - scale shifts in polar climate, river and lake ice, and the distribution and characteristics
of seasonally and permanently frozen ground.
Many impacts settings are somewhat tuned to a certain resolution, such as the nested size categorizations
of hydrologic basins down to watershed size, commonly used in
hydrologic modeling.
Here, we test the ability
of gridded downscaling
models to replicate historical properties
of climate and
hydrologic extremes, as measured in terms
of temporal sequencing (i.e., correlation tests) and distributional properties (i.e., tests for equality
of probability distributions).
Hence, this study evaluates the ability
of a standard
hydrologic model set - up: Variable Infiltration Capacity (VIC)
hydrologic model for two headwater sub-basins in the Fraser River (Salmon and Willow), British Columbia, Canada, with climate inputs derived from observations and statistically downscaled global climate
models (GCMs); to simulate six general water resource indicators (WRIs) and 32 ecologically relevant indicators
of hydrologic alterations (IHA).
PCIC offers
modelled hydrologic data (runoff, baseflow, snow, evaporation and soil moisture) for four basins in BC at the resolution
of one - sixteenth
of a degree.
Hydrologic modelling has been applied to assess the impacts
of projected climate change within three study areas in the Peace, Campbell and Columbia River watersheds
of British Columbia, Canada.
Various
hydrologic models with different complexities have been developed to represent the characteristics
of river basins, improve streamflow forecasts such as seasonal volumetric flow predictions, and meet other demands from different stakeholders.
Thus, we extend the VIC ensemble using a computationally efficient statistical emulation
model, which approximates the combined output
of the two - step process
of statistical downscaling and
hydrologic modeling, trained with the 23 member VIC ensemble.
The provision
of VIC
Hydrologic Model Output and Extreme Indices calculated from CMIP5 is under development.
This study evaluates the
hydrologic prediction skill
of a dynamical climate
model - driven
hydrologic prediction system (CM - HPS), based on an ensemble
of statistically - downscaled outputs from the Canadian Seasonal to Interannual Prediction System (CanSIPS).
Prior to joining PCIC Markus was a
Hydrologic Modelling Scientist and Forecaster with the BC Ministry of Environment, River Forecast Centre, where he was engaged in the analysis of observed climate and hydrometric data and the application of various hydrologic models for flood, drought and seasonal streamflow fo
Hydrologic Modelling Scientist and Forecaster with the BC Ministry
of Environment, River Forecast Centre, where he was engaged in the analysis
of observed climate and hydrometric data and the application
of various
hydrologic models for flood, drought and seasonal streamflow fo
hydrologic models for flood, drought and seasonal streamflow forecasting.
Generation
of an hourly meteorological time series for an alpine basin in British Columbia for use in numerical
hydrologic modeling.
Modelling spatial and temporal variability
of hydrologic impacts
of climate change in the Fraser River basin, British Columbia, Canada.
Their work involved using a
hydrologic model that included a simple representation
of glaciers, run by statistically - downscaled output from global climate
models, in order to come up with projected changes to evaporation, precipitation, runoff, snow, soil moisture and temperature in the Canadian portion
of the Columbia River Basin.
Evaluating hydro - climatic impacts
of climate change signals from statistically and dynamically downscaled GCMs and
hydrologic models.
Activity between 2019 and 2020 will focus on expanding the
hydrologic projections and water temperature
modelling into additional basins and completing an analysis
of regional changes in
hydrologic extremes.
Even though you do not know how increasing CO2 or warming will change the
hydrologic cycle, and even though you make elementary errors in statistics and probability, and even though I basically have faint praise for your csalt
model (i.e. it hasn't been tested or disconfirmed by out
of sample data), I stipulate that you know more
of just about all
of physics than I do.
Now we are expanding our Data Portal again, with our new Gridded
Hydrologic Model Output Page, which provides access to gridded, high - resolution projections of hydrologic simulation data for four watersheds in British Columbia, generated at PCIC using the VIC hydrologi
Hydrologic Model Output Page, which provides access to gridded, high - resolution projections of hydrologic simulation data for four watersheds in British Columbia, generated at PCIC using the VIC hydrological m
Model Output Page, which provides access to gridded, high - resolution projections
of hydrologic simulation data for four watersheds in British Columbia, generated at PCIC using the VIC hydrologi
hydrologic simulation data for four watersheds in British Columbia, generated at PCIC using the VIC hydrological
modelmodel.
Milly, P. C. D. & Dunne, K. A. On the
hydrologic adjustment
of climate -
model projections: the potential pitfall
of potential evapotranspiration.
The group used field observations
of the burned watershed, spatially explicit data on watershed characteristics, historic rainfall and runoff measurements, and accepted
modeling techniques to estimate post-fire changes in
hydrologic and sedimentary processes in the Mission Creek watershed.
The study uses an extensive suite
of existing simulations with the Variable Infiltration Capacity (VIC)
hydrologic model driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scena
model driven by Coupled
Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scena
Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn)
model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scena
model of Fraser River streamflow extremes, and subsequently applies the
model to project changes in Fraser River extremes under CMIP5 based climate change scena
model to project changes in Fraser River extremes under CMIP5 based climate change scenarios.
Here are examples
of two papers that don't seem to have huge gaping flaws, and cover the data and the
modeling of hydrologic changes: