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Alicia M. Kinoshita
Department of Civil, Construction, and Environmental Engineering San Diego State University San Diego California USA

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Research article
Published: 22 April 2021 in Ecohydrology
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Climate change will alter stream habitats through precipitation and air temperature changes and potentially threaten species that rely on contemporary streamflow and stream temperature regimes. Habitat projections are therefore critical to inform management decisions. Past and ongoing research has improved streamflow and temperature modelling in ungauged regions, but no studies merge these advancements with climate modelling for regional streamflow and stream temperatures predictions that describe stream habitat change. Here, we predict change in streamflow and stream temperature at the reach scale using projections from downscaled global climate models (GCMs) and the ‘business as usual’ carbon emission scenario. We focus on unaltered streams in six southern California watersheds using data from baseline (1982–2014) and projected end‐of‐century (2082–2100). Stream temperature is projected to increase regionally, with high‐elevation stream reaches increasing most rapidly. There is less consistency in the streamflow projections, but a spatial and temporal homogenization of stream flow characteristics was predicted, that is, flows become more similar across the region with less inter‐annual variation. Additionally, there is a regional trend towards larger high flow magnitudes and more storm events. Despite the increased frequency and magnitude of storm events, high‐elevation streams are predicted to become drier for a greater portion of the year. Conversely, low‐elevation streams are predicted to have longer hydroperiods. Mapping future streamflow and stream temperatures at the reach scale can direct conservation efforts to streams that remain suitable, restoration to areas that decrease in suitability for target species, and support water policies that consider future stream condition.

ACS Style

Jennifer Rogers; Eric Stein; Marcus Beck; Kelly Flint; Alicia Kinoshita; Richard Ambrose. Modelling future changes to the hydrological and thermal regime of unaltered streams using projected changes in climate to support planning for sensitive species management. Ecohydrology 2021, e2299 .

AMA Style

Jennifer Rogers, Eric Stein, Marcus Beck, Kelly Flint, Alicia Kinoshita, Richard Ambrose. Modelling future changes to the hydrological and thermal regime of unaltered streams using projected changes in climate to support planning for sensitive species management. Ecohydrology. 2021; ():e2299.

Chicago/Turabian Style

Jennifer Rogers; Eric Stein; Marcus Beck; Kelly Flint; Alicia Kinoshita; Richard Ambrose. 2021. "Modelling future changes to the hydrological and thermal regime of unaltered streams using projected changes in climate to support planning for sensitive species management." Ecohydrology , no. : e2299.

Article
Published: 16 February 2021
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Accurate field data are required to predict elevated runoff and sediment transport to aid post-fire planning. This is especially significant at the small catchment scale, where these runoff processes

ACS Style

Brenton Wilder; Alicia Kinoshita. Post-fire Vegetation and Hydrologic Recovery in a Mediterranean Climate. 2021, 1 .

AMA Style

Brenton Wilder, Alicia Kinoshita. Post-fire Vegetation and Hydrologic Recovery in a Mediterranean Climate. . 2021; ():1.

Chicago/Turabian Style

Brenton Wilder; Alicia Kinoshita. 2021. "Post-fire Vegetation and Hydrologic Recovery in a Mediterranean Climate." , no. : 1.

Invited commentary
Published: 13 February 2021 in Hydrological Processes
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2020 is the year of wildfire records. California experienced its three largest fires early in its fire season. The Pantanal, the largest wetland on the planet, burned over 20% of its surface. More than 18 million hectares of forest and bushland burned during the 2019–2020 fire season in Australia, killing 33 people, destroying nearly 2500 homes, and endangering many endemic species. The direct cost of damages is being counted in dozens of billion dollars, but the indirect costs on water‐related ecosystem services and benefits could be equally expensive, with impacts lasting for decades. In Australia, the extreme precipitation (>200 mm day −1 in several location) that interrupted the catastrophic wildfire season triggered a series of watershed effects from headwaters to areas downstream. The increased runoff and erosion from burned areas disrupted water supplies in several locations. These post‐fire watershed hazards via source water contamination, flash floods, and mudslides can represent substantial, systemic long‐term risks to drinking water production, aquatic life, and socio‐economic activity. Scenarios similar to the recent event in Australia are now predicted to unfold in the Western USA. This is a new reality that societies will have to live with as uncharted fire activity, water crises, and widespread human footprint collide all‐around of the world. Therefore, we advocate for a more proactive approach to wildfire‐watershed risk governance in an effort to advance and protect water security. We also argue that there is no easy solution to reducing this risk and that investments in both green (i.e., natural) and grey (i.e., built) infrastructure will be necessary. Further, we propose strategies to combine modern data analytics with existing tools for use by water and land managers worldwide to leverage several decades worth of data and knowledge on post‐fire hydrology.

ACS Style

François‐Nicolas Robinne; Dennis W. Hallema; Kevin D. Bladon; Mike D. Flannigan; Gabrielle Boisramé; Christian M. Bréthaut; Stefan H. Doerr; Giuliano Di Baldassarre; Louise A. Gallagher; Amanda K. Hohner; Stuart J. Khan; Alicia M. Kinoshita; Rua Mordecai; João Pedro Nunes; Petter Nyman; Cristina Santín; Gary Sheridan; Cathelijne R. Stoof; Matthew P. Thompson; James M. Waddington; Yu Wei. Scientists' warning on extreme wildfire risks to water supply. Hydrological Processes 2021, 35, 1 .

AMA Style

François‐Nicolas Robinne, Dennis W. Hallema, Kevin D. Bladon, Mike D. Flannigan, Gabrielle Boisramé, Christian M. Bréthaut, Stefan H. Doerr, Giuliano Di Baldassarre, Louise A. Gallagher, Amanda K. Hohner, Stuart J. Khan, Alicia M. Kinoshita, Rua Mordecai, João Pedro Nunes, Petter Nyman, Cristina Santín, Gary Sheridan, Cathelijne R. Stoof, Matthew P. Thompson, James M. Waddington, Yu Wei. Scientists' warning on extreme wildfire risks to water supply. Hydrological Processes. 2021; 35 (5):1.

Chicago/Turabian Style

François‐Nicolas Robinne; Dennis W. Hallema; Kevin D. Bladon; Mike D. Flannigan; Gabrielle Boisramé; Christian M. Bréthaut; Stefan H. Doerr; Giuliano Di Baldassarre; Louise A. Gallagher; Amanda K. Hohner; Stuart J. Khan; Alicia M. Kinoshita; Rua Mordecai; João Pedro Nunes; Petter Nyman; Cristina Santín; Gary Sheridan; Cathelijne R. Stoof; Matthew P. Thompson; James M. Waddington; Yu Wei. 2021. "Scientists' warning on extreme wildfire risks to water supply." Hydrological Processes 35, no. 5: 1.

Journal article
Published: 23 December 2020 in Remote Sensing
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A combination of satellite image indices and in-field observations was used to investigate the impact of fuel conditions, fire behavior, and vegetation regrowth patterns, altered by invasive riparian vegetation. Satellite image metrics, differenced normalized burn severity (dNBR) and differenced normalized difference vegetation index (dNDVI), were approximated for non-native, riparian, or upland vegetation for traditional timeframes (0-, 1-, and 3-years) after eleven urban fires across a spectrum of invasive vegetation cover. Larger burn severity and loss of green canopy (NDVI) was detected for riparian areas compared to the uplands. The presence of invasive vegetation affected the distribution of burn severity and canopy loss detected within each fire. Fires with native vegetation cover had a higher severity and resulted in larger immediate loss of canopy than fires with substantial amounts of non-native vegetation. The lower burn severity observed 1–3 years after the fires with non-native vegetation suggests a rapid regrowth of non-native grasses, resulting in a smaller measured canopy loss relative to native vegetation immediately after fire. This observed fire pattern favors the life cycle and perpetuation of many opportunistic grasses within urban riparian areas. This research builds upon our current knowledge of wildfire recovery processes and highlights the unique challenges of remotely assessing vegetation biophysical status within urban Mediterranean riverine systems.

ACS Style

Lauren Mathews; Alicia Kinoshita. Urban Fire Severity and Vegetation Dynamics in Southern California. Remote Sensing 2020, 13, 19 .

AMA Style

Lauren Mathews, Alicia Kinoshita. Urban Fire Severity and Vegetation Dynamics in Southern California. Remote Sensing. 2020; 13 (1):19.

Chicago/Turabian Style

Lauren Mathews; Alicia Kinoshita. 2020. "Urban Fire Severity and Vegetation Dynamics in Southern California." Remote Sensing 13, no. 1: 19.

Journal article
Published: 17 December 2020 in Remote Sensing
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The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) provides remotely-sensed estimates of evapotranspiration at 70 m spatial resolution every 1–5 days, sampling across the diurnal cycle. This study, in partnership with an operational water management organization, the Eastern Municipal Water District (EMWD) in Southern California, was conducted to evaluate estimates of evapotranspiration under ideal conditions where water is not limited. EMWD regularly uses a ground-based network of reference evapotranspiration (ETo) from the California Irrigation Management Information System (CIMIS); yet, there are gaps in spatial coverage and questions of spatial representativeness and consistency. Space-based potential evapotranspiration (PET) estimates, such as those from ECOSTRESS, provide consistent spatial coverage. We compared ECOSTRESS ETo (estimated from PET) to CIMIS ETo at five CIMIS sites in Riverside County, California from July 2018–June 2020. We found strong correlations between CIMIS ETo and ECOSTRESS ETo across all five sites (R2 = 0.89, root mean square error (RMSE) = 0.11 mm hr−1). Both CIMIS and ECOSTRESS ETo captured similar seasonal patterns through the study period as well as diurnal variability. There were site-specific differences in the relationship between ECOSTRESS AND CIMIS, in part due to spatial heterogeneity around the station site. Consequently, careful examination of landscapes surrounding CIMIS sites must be considered in future comparisons. These results indicate that ECOSTRESS successfully retrieves PET that is comparable to ground-based reference ET, highlighting the potential for providing observation-driven guidance for irrigation management across spatial scales.

ACS Style

Gurjot Kohli; Christine Lee; Joshua Fisher; Gregory Halverson; Evan Variano; Yufang Jin; Daniel Carney; Brenton Wilder; Alicia Kinoshita. ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California. Remote Sensing 2020, 12, 4126 .

AMA Style

Gurjot Kohli, Christine Lee, Joshua Fisher, Gregory Halverson, Evan Variano, Yufang Jin, Daniel Carney, Brenton Wilder, Alicia Kinoshita. ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California. Remote Sensing. 2020; 12 (24):4126.

Chicago/Turabian Style

Gurjot Kohli; Christine Lee; Joshua Fisher; Gregory Halverson; Evan Variano; Yufang Jin; Daniel Carney; Brenton Wilder; Alicia Kinoshita. 2020. "ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California." Remote Sensing 12, no. 24: 4126.

Special issue paper
Published: 13 November 2020 in Hydrological Processes
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Following wildfires, the probability of flooding and debris flows increase, posing risks to human lives, downstream communities, infrastructure, and ecosystems. In southern California (USA), the Rowe, Countryman, and Storey (RCS) 1949 methodology is an empirical method that is used to rapidly estimate post‐fire peak streamflow. We re‐evaluated the accuracy of RCS for 33 watersheds under current conditions. Pre‐fire peak streamflow prediction performance was low, where the average R2 was 0.29 and average RMSE was 1.10 cms/km2 for the 2‐ and 10‐year recurrence interval events, respectively. Post‐fire, RCS performance was also low, with an average R2 of 0.26 and RMSE of 15.77 cms/km2 for the 2‐ and 10‐year events. We demonstrated that RCS overgeneralizes watershed processes and does not adequately represent the spatial and temporal variability in systems affected by wildfire and extreme weather events and often underpredicted peak streamflow without sediment bulking factors. A novel application of machine learning was used to identify critical watershed characteristics including local physiography, land cover, geology, slope, aspect, rainfall intensity, and soil burn severity, resulting in two random forest models with 45 and five parameters (RF‐45 and RF‐5, respectively) to predict post‐fire peak streamflow. RF‐45 and RF‐5 performed better than the RCS method; however, they demonstrated the importance and reliance on data availability. The important parameters identified by the machine learning techniques were used to create a three‐dimensional polynomial function to calculate post‐fire peak streamflow in small catchments in southern California during the first year after fire (R2 = 0.82; RMSE = 6.59 cms/km2) which can be used as an interim tool by post‐fire risk assessment teams. We conclude that a significant increase in data collection of high temporal and spatial resolution rainfall intensity, streamflow, and sediment loading in channels will help to guide future model development to quantify post‐fire flood risk. This article is protected by copyright. All rights reserved.

ACS Style

Brenton A. Wilder; Jeremy T. Lancaster; Peter H. Cafferata; Drew B. R. Coe; Brian J. Swanson; Donald N. Lindsay; William R. Short; Alicia M. Kinoshita. An analytical solution for rapidly predicting post‐fire peak streamflow for small watersheds in southern California. Hydrological Processes 2020, 35, 1 .

AMA Style

Brenton A. Wilder, Jeremy T. Lancaster, Peter H. Cafferata, Drew B. R. Coe, Brian J. Swanson, Donald N. Lindsay, William R. Short, Alicia M. Kinoshita. An analytical solution for rapidly predicting post‐fire peak streamflow for small watersheds in southern California. Hydrological Processes. 2020; 35 (1):1.

Chicago/Turabian Style

Brenton A. Wilder; Jeremy T. Lancaster; Peter H. Cafferata; Drew B. R. Coe; Brian J. Swanson; Donald N. Lindsay; William R. Short; Alicia M. Kinoshita. 2020. "An analytical solution for rapidly predicting post‐fire peak streamflow for small watersheds in southern California." Hydrological Processes 35, no. 1: 1.

Journal article
Published: 16 August 2020 in Geosciences
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The goal of this research was to characterize the impact of invasive riparian vegetation on burn severity patterns and fluvial topographic change in an urban Mediterranean riverine system (Med-sys) after fire in San Diego, California. We assessed standard post-fire metrics under urban conditions with non-native vegetation and utilized field observations to quantify vegetation and fluvial geomorphic processes. Field observations noted both high vegetation loss in the riparian area and rapidly resprouting invasive grass species such as Arundo donax (Giant Reed) after fire. Satellite-based metrics that represent vegetation biomass underestimated the initial green canopy loss, as did volumetric data derived from three-dimensional terrestrial laser scanning data. Field measurements were limited to a small sample size but demonstrated that the absolute maximum topographic changes were highest in stands of Arundo donax (0.18 to 0.67 m). This work is the first quantification of geomorphic alterations promoted by non-native vegetation after fire and highlights potential grass–fire feedbacks that can contribute to geomorphic disruption. Our results support the need for ground-truthing or higher resolution when using standard satellite-based indices to assess post-fire conditions in urban open spaces, especially when productive invasive vegetation are present, and they also emphasize restoring urban waterways to native vegetation conditions.

ACS Style

Lauren Mathews; Alicia Kinoshita. Vegetation and Fluvial Geomorphology Dynamics after an Urban Fire. Geosciences 2020, 10, 317 .

AMA Style

Lauren Mathews, Alicia Kinoshita. Vegetation and Fluvial Geomorphology Dynamics after an Urban Fire. Geosciences. 2020; 10 (8):317.

Chicago/Turabian Style

Lauren Mathews; Alicia Kinoshita. 2020. "Vegetation and Fluvial Geomorphology Dynamics after an Urban Fire." Geosciences 10, no. 8: 317.

Case report
Published: 07 June 2020 in Fire
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There is an increased risk of future fire disturbances due to climate change and anthropogenic activity. These disturbances can impact soil moisture content and infiltration, which are important antecedent conditions for predicting rainfall–runoff processes in semi-arid regions. Yet these conditions are not well documented. This case study provides critical field measurements and information, which are needed to improve our understanding of mechanisms such as precipitation and temperature that lead to the variability of soil properties and processes in urban and burned landscapes. In June 2018, a fire burned a portion of the riparian zone in Alvarado Creek, an urban tributary of the San Diego River in California, United States. This fire provided an opportunity to observe soil moisture content and infiltration for one year after the fire. Three transects (one burned and two unburned) were monitored periodically to evaluate the complex spatial and temporal dynamics of soil moisture and infiltration patterns. Average dry season soil moisture content was less than five percent volume water content (%VWC) for all transects, and the burned transect exhibited the lowest %VWC during the wet season. Infiltration rates displayed a high degree of spatial and temporal variability. However, the location with the highest burn severity had the lowest average infiltration rate. The observed differences between the burned and unburned transects indicate that the fire altered hydrologic processes of the landscape and reduced the ability of the soil to retain water during the wet season. This research provides the first high-resolution soil moisture and infiltration field analysis of an urban fire-disturbed stream in southern California and a method to characterize post-fire hydrologic conditions for rainfall–runoff processes.

ACS Style

Quinn Alkin; Alicia M. Kinoshita. A Case Study of Soil Moisture and Infiltration after an Urban Fire. Fire 2020, 3, 22 .

AMA Style

Quinn Alkin, Alicia M. Kinoshita. A Case Study of Soil Moisture and Infiltration after an Urban Fire. Fire. 2020; 3 (2):22.

Chicago/Turabian Style

Quinn Alkin; Alicia M. Kinoshita. 2020. "A Case Study of Soil Moisture and Infiltration after an Urban Fire." Fire 3, no. 2: 22.

Journal article
Published: 21 January 2020 in Journal of Environmental Management
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Wildfires are becoming more prevalent and are impacting forests, watersheds and important resources. Hydrologic and geomorphic processes following wildfires can include erosion flooding, and degraded water quality. To mitigate these secondary impacts, post-fire restoration treatments can be applied to a burned area to stabilize the land surface or promote vegetative regrowth. This research focuses on wood and straw mulch treatment implemented after the 2012 Waldo Canyon Fire in Colorado (United States) and estimates the spatial and temporal changes in annual and seasonal vegetation after a fire with respect to geomorphic factors. This study highlights the use of satellite-based remote sensing products to investigate the impacts of post-fire rehabilitation treatments on vegetation. Using Enhanced Vegetation Index as a proxy for vegetative growth, vegetation conditions are evaluated with respect to slope, slope aspect, and burn severity to understand the impact of the ground cover treatments on vegetation for five years before and after the fire (2007–2016). Sixty-three burned and untreated sites, forty-nine burned sites treated with wood mulch, and twenty-eight burned sites treated with straw mulch were analyzed. These sites were also compared to two control sites that were unburned and untreated, Hunter's Run and Fountain Creek. Generally, post-fire conditions did not return to pre-fire levels, where average vegetation levels were lower. By the end of the study, burned and untreated sites had larger vegetative levels than burned and treated sites. The vegetation levels of the burned sites were statistically different (α = 0.05) from pre-fire conditions in all areas of treatment. Burned sites treated with wood and straw recovered to 69% and 73% of pre-fire conditions, respectively. This work demonstrates the novel use of remote sensing to observe vegetation after post-fire treatment applications to augment the number of sites and length of time that can be analyzed. The observed change in vegetation conditions also contributes to furthering our understanding of the impacts of post-fire restoration, which is important for post-fire management.

ACS Style

Viet D. Vo; Alicia M. Kinoshita. Remote sensing of vegetation conditions after post-fire mulch treatments. Journal of Environmental Management 2020, 260, 109993 .

AMA Style

Viet D. Vo, Alicia M. Kinoshita. Remote sensing of vegetation conditions after post-fire mulch treatments. Journal of Environmental Management. 2020; 260 ():109993.

Chicago/Turabian Style

Viet D. Vo; Alicia M. Kinoshita. 2020. "Remote sensing of vegetation conditions after post-fire mulch treatments." Journal of Environmental Management 260, no. : 109993.

Journal article
Published: 11 March 2019 in Remote Sensing
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Light Detection and Ranging (LiDAR) methods, such as ground-based Terrestrial Laser Scanning (TLS), have enabled collection of high-resolution point clouds of elevation data to calculate changes in fluvial systems after disturbance, but are often accompanied by uncertainty and errors. This paper reviews and compares TLS analysis methods and develops a workflow to estimate topographic and volumetric changes in channel sedimentation after disturbance. Four analytic methods to estimate topographic and volumetric changes were compared by quantifying the uncertainty in TLS-derived products: Digital Elevation Model (DEM) of difference (DOD), Cloud to Cloud (C2C), Cloud to Mesh (C2M), and Multiple Model to Model Cloud Comparison (M3C2). Mean errors across surfaces within each dataset contributed to a propagation error of 0.015–0.016 m and 0.017–0.018 m for the point clouds and derived DEMs, respectively. The estimated error of the total volumetric change implied increased errors in the conversion of point clouds into a surface by C2M and DOD; whereas C2C and M3C2 were generally simpler, efficient, and accurate techniques for evaluating topographic changes. The comparison of methods to analyze TLS data will contribute to applications of remote sensing of hydro-geomorphic processes in stream channels after disturbance. The workflow presented also aids in estimating uncertainties inherent in data collection and analytic methods for topographic and volumetric change analysis.

ACS Style

Samira Nourbakhshbeidokhti; Alicia M. Kinoshita; Anne Chin; Joan L. Florsheim. A Workflow to Estimate Topographic and Volumetric Changes and Errors in Channel Sedimentation after Disturbance. Remote Sensing 2019, 11, 586 .

AMA Style

Samira Nourbakhshbeidokhti, Alicia M. Kinoshita, Anne Chin, Joan L. Florsheim. A Workflow to Estimate Topographic and Volumetric Changes and Errors in Channel Sedimentation after Disturbance. Remote Sensing. 2019; 11 (5):586.

Chicago/Turabian Style

Samira Nourbakhshbeidokhti; Alicia M. Kinoshita; Anne Chin; Joan L. Florsheim. 2019. "A Workflow to Estimate Topographic and Volumetric Changes and Errors in Channel Sedimentation after Disturbance." Remote Sensing 11, no. 5: 586.

Journal article
Published: 02 November 2018 in Remote Sensing
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In the hydrological cycle, evapotranspiration (ET) transfers moisture from the land surface to the atmosphere and is sensitive to disturbances such as wildfires. Ground-based pre- and post-fire measurements of ET are often unavailable, limiting the potential to understand the extent of wildfire impacts on the hydrological cycle. This research estimated both pre- and post-fire ET using remotely sensed variables and support vector machine (SVM) methods. Input variables (land surface temperature, modified soil-adjusted vegetation index, normalized difference moisture index, normalized burn ratio, precipitation, potential evapotranspiration, albedo and vegetation types) were used to train and develop 56 combinations that yielded 33 unique SVM models to predict actual ET. The models were trained to predict a spatial ET, the Operational Simplified Surface Energy Balance (SSEBop), for the 2003 Coyote Fire in San Diego, California (USA). The optimal SVM model, SVM-ET6, required six input variables and predicted ET for fifteen years with a root-mean-square error (RMSE) of 8.43 mm/month and a R2 of 0.89. The developed model was transferred and applied to the 2003 Old Fire in San Bernardino, California (USA), where a watershed balance approach was used to validate SVM-ET6 predictions. The annual water balance for ten out of fifteen years was within ±20% of the predicted values. This work demonstrated machine learning as a viable method to create a remotely-sensed estimate with wide applicability for regions with sparse data observations and information. This innovative work demonstrated the potential benefit for land and forest managers to understand and analyze the hydrological cycle of watersheds that experience acute disturbances based on this developed predictive ET model.

ACS Style

Patrick K. Poon; Alicia M. Kinoshita. Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and Machine Learning. Remote Sensing 2018, 10, 1728 .

AMA Style

Patrick K. Poon, Alicia M. Kinoshita. Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and Machine Learning. Remote Sensing. 2018; 10 (11):1728.

Chicago/Turabian Style

Patrick K. Poon; Alicia M. Kinoshita. 2018. "Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and Machine Learning." Remote Sensing 10, no. 11: 1728.

Journal article
Published: 01 April 2018 in Journal of Hydrology
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ACS Style

Patrick K. Poon; Alicia M. Kinoshita. Spatial and temporal evapotranspiration trends after wildfire in semi-arid landscapes. Journal of Hydrology 2018, 559, 71 -83.

AMA Style

Patrick K. Poon, Alicia M. Kinoshita. Spatial and temporal evapotranspiration trends after wildfire in semi-arid landscapes. Journal of Hydrology. 2018; 559 ():71-83.

Chicago/Turabian Style

Patrick K. Poon; Alicia M. Kinoshita. 2018. "Spatial and temporal evapotranspiration trends after wildfire in semi-arid landscapes." Journal of Hydrology 559, no. : 71-83.

Article
Published: 19 February 2017 in Earth Surface Processes and Landforms
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Current global warming projections suggest a possible increase in wildfire and drought, augmenting the need to understand how drought following wildfire affects the recovery of stream channels in relation to sediment dynamics. We investigated post-wildfire geomorphic responses caused by storms during a prolonged drought following the 2013 Springs Fire in southern California (USA), using multi-temporal terrestrial laser scanning and detailed field measurements. After the fire, a dry-season dry-ravel sediment pulse contributed sand and small gravel to hillslope-channel margins in Big Sycamore Creek and its tributaries. A small storm in WY 2014 generated sufficient flow to mobilize a portion of the sediment derived from the dry-ravel pulse and deposited the fine sediment in the channel, totaling ~0.60 m3/m of volume per unit length of channel. The sediment deposit buried step-pool habitat structure and reduced roughness by over 90%. These changes altered sediment transport characteristics of the bed material present before and after the storm; the ratio of available to critical shear stress (τo/τc) increased by five times. Storms during WY 2015 contributed additional fine sediment from tributaries and lower hillslopes and hyperconcentrated flow transported and deposited additional sediment in the channel. Together these sources delivered sediment on the order of six times that in 2014, further increasing τo/τc. These storms during multi-year drought following wildfire transformed channel dynamics. The increased sediment transport capacity persisted during the drought period characterized by the longer residence time of relatively fine-grained post-fire channel sedimentation. This contrasts with wetter years, when post-fire sediment is transported from the fluvial system during the same season as the post-fire sediment pulse. Results of this short-term study highlight the complex and substantial effects of multi-year drought on geomorphic responses following wildfire. These responses influence pool habitat that is critical to longer-term post-wildfire riparian ecosystem recovery. Copyright © 2017 John Wiley & Sons, Ltd.

ACS Style

Joan L. Florsheim; Anne Chin; Alicia M. Kinoshita; Samira Nourbakhshbeidokhti. Effect of storms during drought on post‐wildfire recovery of channel sediment dynamics and habitat in the southern California chaparral, USA. Earth Surface Processes and Landforms 2017, 42, 1482 -1492.

AMA Style

Joan L. Florsheim, Anne Chin, Alicia M. Kinoshita, Samira Nourbakhshbeidokhti. Effect of storms during drought on post‐wildfire recovery of channel sediment dynamics and habitat in the southern California chaparral, USA. Earth Surface Processes and Landforms. 2017; 42 (10):1482-1492.

Chicago/Turabian Style

Joan L. Florsheim; Anne Chin; Alicia M. Kinoshita; Samira Nourbakhshbeidokhti. 2017. "Effect of storms during drought on post‐wildfire recovery of channel sediment dynamics and habitat in the southern California chaparral, USA." Earth Surface Processes and Landforms 42, no. 10: 1482-1492.

Journal article
Published: 01 December 2016 in Anthropocene
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ACS Style

Alicia M. Kinoshita; Anne Chin; Gregory L. Simon; Christy Briles; Terri S. Hogue; Alison P. O’Dowd; Andrea K. Gerlak; Alejandra Uribe Albornoz. Wildfire, water, and society: Toward integrative research in the “Anthropocene”. Anthropocene 2016, 16, 16 -27.

AMA Style

Alicia M. Kinoshita, Anne Chin, Gregory L. Simon, Christy Briles, Terri S. Hogue, Alison P. O’Dowd, Andrea K. Gerlak, Alejandra Uribe Albornoz. Wildfire, water, and society: Toward integrative research in the “Anthropocene”. Anthropocene. 2016; 16 ():16-27.

Chicago/Turabian Style

Alicia M. Kinoshita; Anne Chin; Gregory L. Simon; Christy Briles; Terri S. Hogue; Alison P. O’Dowd; Andrea K. Gerlak; Alejandra Uribe Albornoz. 2016. "Wildfire, water, and society: Toward integrative research in the “Anthropocene”." Anthropocene 16, no. : 16-27.

Journal article
Published: 01 January 2016 in Journal of Hydrologic Engineering
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A satellite-based potential evapotranspiration (PET) product for streamflow simulations is tested for 15 forecast basins in the Upper Mississippi and Red River watersheds under the forecasting responsibility of the National Weather Service (NWS) North Central River Forecast Center (NCRFC). PET demand curves, which are long-term average estimates of daily PET, are derived using the National Aeronautics and Space Administration’s moderate resolution imaging spectroradiometer sensor (MODIS) on board the Terra and Aqua earth observation satellites. The PET demand curves (referred to as M-PET) are then used as input to the NWS Sacramento soil moisture accounting model (SACSMA) and simulated discharge and evapotranspiration (ET) are evaluated. Simulations using M-PET input are compared to simulations produced using the demand curves of the NCRFC (referred to as NC-PET). The M-PET data correlate better with PET estimated using tower data from three sites located within the study region compared to the NC-PET. The M-PET overall has low positive bias, averaging approximately 0.25 mm day−1 while the NC-PET has larger, negative bias, averaging almost 2 mm day−1. The M-PET discharge simulations have acceptable performance (i.e., Nash Sutcliffe>0.30) for eight of the 15 basins. The simulated ET produced by the M-PET matches the range of observed ET better than the NC-PET when compared to data from the three flux sites. Overall results indicate there is potential for using the M-PET as input into the SACSMA though further work is needed to assess potential data bias.

ACS Style

Angela L. Bowman; Kristie J. Franz; Terri S. Hogue; Alicia M. Kinoshita. MODIS-Based Potential Evapotranspiration Demand Curves for the Sacramento Soil Moisture Accounting Model. Journal of Hydrologic Engineering 2016, 21, 04015055 .

AMA Style

Angela L. Bowman, Kristie J. Franz, Terri S. Hogue, Alicia M. Kinoshita. MODIS-Based Potential Evapotranspiration Demand Curves for the Sacramento Soil Moisture Accounting Model. Journal of Hydrologic Engineering. 2016; 21 (1):04015055.

Chicago/Turabian Style

Angela L. Bowman; Kristie J. Franz; Terri S. Hogue; Alicia M. Kinoshita. 2016. "MODIS-Based Potential Evapotranspiration Demand Curves for the Sacramento Soil Moisture Accounting Model." Journal of Hydrologic Engineering 21, no. 1: 04015055.

Journal article
Published: 01 January 2016 in Journal of Applied Remote Sensing
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. The current study evaluates the application of a moderate resolution imaging spectroradiometer (MODIS) triangle-based method to estimate evapotranspiration (ET) in subalpine environments. Topographic corrections and improved soil moisture representation are applied to a previously developed net radiation (Rn) model and triangle algorithm to develop an 8-day average ET product based solely on satellite products. We evaluate modeled Rn and MODIS ET (MOD-ET) against ground-based values at four sites in the Sierra Nevada of northern California and also present a comparison between two monthly distributed ET datasets [operational simplified surface energy balance (SSEBop) and MODIS MOD16]. Modeled daily Rn results indicate a systematic underestimation (between −83 and −110 W/m2 bias). Consequently, Rn is bias-corrected before calculating MOD-ET. MOD-ET validation shows correlations between 0.15 and 0.45 with errors between 73 and 126 W/m2. MOD-ET and SSEBop ET report correlations of 0.36 and 0.20, respectively, on average, compared to ground-based monthly ET. MOD16 underestimates monthly totals, with bias values on the range of −14 to −144 W/m2. Semiarid conditions and scale differences between the MODIS pixel and station contribute to errors with respect to observation. Overall, MOD-ET provides reasonable ET estimates and may better capture temporal dynamics in environments undergoing chronic disturbance.

ACS Style

Kyle R. Knipper; Alicia M. Kinoshita; Terri S. Hogue. Evaluation of a moderate resolution imaging spectroradiometer triangle-based algorithm for evapotranspiration estimates in subalpine regions. Journal of Applied Remote Sensing 2016, 10, 16002 .

AMA Style

Kyle R. Knipper, Alicia M. Kinoshita, Terri S. Hogue. Evaluation of a moderate resolution imaging spectroradiometer triangle-based algorithm for evapotranspiration estimates in subalpine regions. Journal of Applied Remote Sensing. 2016; 10 (1):16002.

Chicago/Turabian Style

Kyle R. Knipper; Alicia M. Kinoshita; Terri S. Hogue. 2016. "Evaluation of a moderate resolution imaging spectroradiometer triangle-based algorithm for evapotranspiration estimates in subalpine regions." Journal of Applied Remote Sensing 10, no. 1: 16002.

Journal article
Published: 14 November 2015 in JAWRA Journal of the American Water Resources Association
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This study evaluates a remotely sensed and two ground-based potential evapotranspiration (PET) products for hydrologic application in the Upper Colorado River Basin (UCRB). The remotely sensed Moderate Resolution Imaging Spectroradiometer product (MODIS-PET) is a continuous, daily time series with 250 m resolution derived using the Priestley-Taylor (P-T) equation. The MODIS-PET is evaluated against regional flux tower data as well as a synthetic pan product (Epan; 0.125°, daily) derived from the North American Land Data Assimilation System (NLDAS) and a Hargreaves PET derived from DAYMET variables (DAYMET-PET; 1 km, daily). Compared to point-scale PET computed using regional flux tower data, the MODIS-PET had lower errors, with RMSE values ranging from 2.24 to 2.85 mm/day. Epan RMSE values ranged from 3.70 to 3.76 mm/day and DAYMET-PET RMSE values ranged from 3.55 to 4.58 mm/day. Further investigation showed biases in temperature and radiation data contribute to uncertainty in the MODIS-PET values, while bias in NLDAS temperature, downward shortwave (SW↓), and downward longwave (LW↓) propagate in the Epan estimates. Larger discrepancies between methods were observed in the warmer, drier regions of the UCRB, however, the MODIS-PET was more responsive to landcover transitions and better captured basin heterogeneity. Results indicate the satellite-based MODIS product can serve as a viable option for obtaining spatial PET values across the UCRB.

ACS Style

Muhammad G. Barik; Terri S. Hogue; Kristie J. Franz; Alicia M. Kinoshita. Assessing Satellite and Ground-Based Potential Evapotranspiration for Hydrologic Applications in the Colorado River Basin. JAWRA Journal of the American Water Resources Association 2015, 52, 48 -66.

AMA Style

Muhammad G. Barik, Terri S. Hogue, Kristie J. Franz, Alicia M. Kinoshita. Assessing Satellite and Ground-Based Potential Evapotranspiration for Hydrologic Applications in the Colorado River Basin. JAWRA Journal of the American Water Resources Association. 2015; 52 (1):48-66.

Chicago/Turabian Style

Muhammad G. Barik; Terri S. Hogue; Kristie J. Franz; Alicia M. Kinoshita. 2015. "Assessing Satellite and Ground-Based Potential Evapotranspiration for Hydrologic Applications in the Colorado River Basin." JAWRA Journal of the American Water Resources Association 52, no. 1: 48-66.

Journal article
Published: 01 January 2015 in Environmental Research Letters
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ACS Style

Alicia M Kinoshita; Terri S Hogue. Increased dry season water yield in burned watersheds in Southern California. Environmental Research Letters 2015, 10, 1 .

AMA Style

Alicia M Kinoshita, Terri S Hogue. Increased dry season water yield in burned watersheds in Southern California. Environmental Research Letters. 2015; 10 (1):1.

Chicago/Turabian Style

Alicia M Kinoshita; Terri S Hogue. 2015. "Increased dry season water yield in burned watersheds in Southern California." Environmental Research Letters 10, no. 1: 1.

Review
Published: 01 September 2014 in Anthropocene
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ACS Style

Alicia M. Kinoshita. Book Review of “Wildfire Hazards, Risks, and Disasters”, D. Paton, P.T. Buergelt, S. McCaffrey, F. Tedim, J.F. Shroder (Eds.), Elsevier (2015), (284 pp.). Anthropocene 2014, 7, 67 -69.

AMA Style

Alicia M. Kinoshita. Book Review of “Wildfire Hazards, Risks, and Disasters”, D. Paton, P.T. Buergelt, S. McCaffrey, F. Tedim, J.F. Shroder (Eds.), Elsevier (2015), (284 pp.). Anthropocene. 2014; 7 ():67-69.

Chicago/Turabian Style

Alicia M. Kinoshita. 2014. "Book Review of “Wildfire Hazards, Risks, and Disasters”, D. Paton, P.T. Buergelt, S. McCaffrey, F. Tedim, J.F. Shroder (Eds.), Elsevier (2015), (284 pp.)." Anthropocene 7, no. : 67-69.

Journal article
Published: 22 July 2014 in JAWRA Journal of the American Water Resources Association
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ACS Style

Alicia M. Kinoshita; Terri S. Hogue; Carolyn Napper. Evaluating Pre- and Post-Fire Peak Discharge Predictions across Western U.S. Watersheds. JAWRA Journal of the American Water Resources Association 2014, 50, 1540 -1557.

AMA Style

Alicia M. Kinoshita, Terri S. Hogue, Carolyn Napper. Evaluating Pre- and Post-Fire Peak Discharge Predictions across Western U.S. Watersheds. JAWRA Journal of the American Water Resources Association. 2014; 50 (6):1540-1557.

Chicago/Turabian Style

Alicia M. Kinoshita; Terri S. Hogue; Carolyn Napper. 2014. "Evaluating Pre- and Post-Fire Peak Discharge Predictions across Western U.S. Watersheds." JAWRA Journal of the American Water Resources Association 50, no. 6: 1540-1557.