Estimation of ET Based on Reconstructed Atmospheric Conditions and Remotely Sensed Information Over Last Chance Creek Watershed, Feather River Basin, California

Ohara, N.; Kavvas, M. L.; Chen, Z. Q.; Anderson, Michael L.; Liang, L.; Wilcox, Joseph; Mink, L.L.

doi:10.1061/40927(243)227

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…), but also atmospheric conditions (e.g., radiation, air temperature, humidity, wind speed, precipitation, etc.). Vegetation, soil characteristics, and atmospheric data are plugged into WEHY-HCM and the estimation of ET values is from the concept of atmospheric conditions and moisture availability in WEHY-HCM, as described in detail in previous works [48][49][50]. Although most precipitation occurs during the wet period (October-March), the main parameter values for the ET estimation are quite small during the wet period.…”

Section: Discussion Of Wehy-hcm Application Resultsmentioning

confidence: 99%

Application of WEHY-HCM for Modeling Interactive Atmospheric-Hydrologic Processes at Watershed Scale to a Sparsely Gauged Watershed

Jang¹,

Kure

Ohara

et al. 2017

Sustainability

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A lack of observations within watersheds can make the production of streamflow data via hydrologic models a big challenge. This study evaluates the model performance of the Watershed Environmental Hydrology Hydro-Climate Model (WEHY-HCM), reproducing streamflow in a sparsely gauged watershed. The fifth generation mesoscale model (MM5) is utilized within WEHY-HCM as an atmospheric module coupling with its process-based hydrologic module, WEHY. The WEHY-HCM is set up over a sparsely gauged watershed and the spatially downscaled reconstructed atmospheric data to a 3-km horizontal grid resolution with an hourly time increment, is obtained by the fifth generation mesoscale model (MM5) from NCAR/NCEP global reanalysis data (reanalysis I). Hydrologic simulations by WEHY-HCM were applied to the Upper Putah Creek watershed based on the reconstructed atmospheric data and the estimated WEHY model parameters. The simulation results of WEHY-HCM were evaluated by means of statistical tests for both calibration and validation periods. The results of statistical tests performed using observed and simulated values indicated that the model performance can be considered as exhibiting an acceptable accuracy during both calibration and validation periods. The spatial maps of the evapotranspiration rate and runoff volume showed that the WEHY-HCM can represent a sparsely gauged watershed with unique topography well. This study found that the WEHY-HCM can be a useful tool to simulate the hydrologic processes in a sparsely gauged watershed.

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Section: Discussion Of Wehy-hcm Application Resultsmentioning

confidence: 99%

Application of WEHY-HCM for Modeling Interactive Atmospheric-Hydrologic Processes at Watershed Scale to a Sparsely Gauged Watershed

Jang¹,

Kure

Ohara

et al. 2017

Sustainability

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“…In order to incorporate the seasonality effect on the LAI, the LAI data derived from moderate resolution imaging spectroradiometer (MODIS) data (MYD15) was adopted in this study. Details of the methodology for the vegetation parameter estimation may be found in Ohara et al ().…”

Section: Parameter Estimation For Hydrologic Modulementioning

confidence: 99%

Modelling atmospheric and hydrologic processes for assessment of meadow restoration impact on flow and sediment in a sparsely gauged California watershed

Ohara

Kavvas

Chen³

et al. 2013

Hydrological Processes

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The restoration of meadowland using the pond and plug technique of gully elimination was performed in a 9‐mile segment along Last Chance Creek, Feather River Basin, California, in order to rehabilitate floodplain functions such as mitigating floods, retaining groundwater, and reducing sediment yield associated with bank erosion and to significantly alter the hydrologic regime. However, because the atmospheric and hydrological conditions have evolved over the restoration period, it was difficult to obtain a comprehensible evaluation of the impact of restoration activities by means of field measurements. In this paper, a new use of physically based models for environmental assessment is described. The atmospheric conditions over the sparsely gauged Last Chance Creek watershed (which does not have any precipitation or weather stations) during the combined historical critical dry and wet period (1982–1993) were reconstructed over the whole watershed using the atmospheric fifth‐generation mesoscale model driven with the US National Center for Atmospheric Research and US National Center for Environmental Prediction reanalysis data. Using the downscaled atmospheric data as its input, the watershed environmental hydrology (WEHY) model was applied to this watershed. All physical parameters of the WEHY model were derived from the existing geographic information system and satellite‐driven data sets. By comparing the prerestoration and postrestoration simulation results under the identical atmospheric conditions, a more complete environmental assessment of the restoration project was made. Model results indicate that the flood peak may be reduced by 10–20% during the wet year and the baseflow may be enhanced by 10–20% during the following dry seasons (summer to fall) in the postrestoration condition. The model results also showed that the hydrologic impact of the land management associated with the restoration mitigates bank erosion and sediment discharge during winter storm events. Copyright © 2013 John Wiley & Sons, Ltd.

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Statistical Characteristics of Land Surface Properties for the Regional Hydroclimate Model

Kure¹,

Jang

Ohara

et al. 2009

World Environmental and Water Resources Congress 2009

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Estimation of ET Based on Reconstructed Atmospheric Conditions and Remotely Sensed Information Over Last Chance Creek Watershed, Feather River Basin, California

Cited by 3 publications

References 6 publications

Application of WEHY-HCM for Modeling Interactive Atmospheric-Hydrologic Processes at Watershed Scale to a Sparsely Gauged Watershed

Application of WEHY-HCM for Modeling Interactive Atmospheric-Hydrologic Processes at Watershed Scale to a Sparsely Gauged Watershed

Modelling atmospheric and hydrologic processes for assessment of meadow restoration impact on flow and sediment in a sparsely gauged California watershed

Statistical Characteristics of Land Surface Properties for the Regional Hydroclimate Model

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