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Jordan S Read, PhD (Former Employee)

Science and Products

Overhead view of a series of lakes surrounded by green crops.

Understanding Historical and Predicting Future Lake Temperatures in North and South Dakota

Lakes, reservoirs, and ponds are central and integral features of the North Central U.S. These water bodies provide aesthetic, cultural, and ecosystem services to surrounding wildlife and human communities. External impacts – such as climate change – can have significant impacts to these important parts of the region’s landscape. Understanding the responses of lakes to these drivers is...
By
Climate Adaptation Science Centers
Understanding Historical and Predicting Future Lake Temperatures in North and South Dakota

Understanding Historical and Predicting Future Lake Temperatures in North and South Dakota

Lakes, reservoirs, and ponds are central and integral features of the North Central U.S. These water bodies provide aesthetic, cultural, and ecosystem services to surrounding wildlife and human communities. External impacts – such as climate change – can have significant impacts to these important parts of the region’s landscape. Understanding the responses of lakes to these drivers is critical
Learn More
Clear blue lake with green trees in the background and blue sky with clouds reflected in the water

“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes

Many inland waters across the United States are experiencing warming water temperatures. The impacts of this warming on aquatic ecosystems are significant in many areas, causing problems for fisheries management, as many economically and ecologically important fish species are experiencing range shifts and population declines. Fisheries and natural resource managers need timely and...
By
Climate Adaptation Science Centers
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes

“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes

Many inland waters across the United States are experiencing warming water temperatures. The impacts of this warming on aquatic ecosystems are significant in many areas, causing problems for fisheries management, as many economically and ecologically important fish species are experiencing range shifts and population declines. Fisheries and natural resource managers need timely and usable data and
Learn More
USGS science for a changing world logo

sbtools: An R package for ScienceBase

Science is an increasingly collaborative endeavor. In an era of Web-enabled research, new tools reduce barriers to collaboration across traditional geographic and disciplinary divides and improve the quality and efficiency of science. Collaborative online code management has moved project collaboration from a manual process of email and thumb drives into a traceable, streamlined system...
By
Community for Data Integration (CDI)
sbtools: An R package for ScienceBase

sbtools: An R package for ScienceBase

Science is an increasingly collaborative endeavor. In an era of Web-enabled research, new tools reduce barriers to collaboration across traditional geographic and disciplinary divides and improve the quality and efficiency of science. Collaborative online code management has moved project collaboration from a manual process of email and thumb drives into a traceable, streamlined system where code
Learn More
View from beach through beachgrass of Frankfort Lighthouse, Michigan in Lake Michigan

An Assessment of Midwestern Lake and Stream Temperatures under Climate Change

Water temperatures are warming in lakes and streams, resulting in the loss of many native fish. Given clear passage, coldwater stream fishes can take refuge upstream when larger streams become too warm. Likewise, many Midwestern lakes “thermally stratify” resulting in warmer waters on top of deeper, cooler waters. Many of these lakes are connected to threatened streams. To date...
By
Climate Adaptation Science Centers
An Assessment of Midwestern Lake and Stream Temperatures under Climate Change

An Assessment of Midwestern Lake and Stream Temperatures under Climate Change

Water temperatures are warming in lakes and streams, resulting in the loss of many native fish. Given clear passage, coldwater stream fishes can take refuge upstream when larger streams become too warm. Likewise, many Midwestern lakes “thermally stratify” resulting in warmer waters on top of deeper, cooler waters. Many of these lakes are connected to threatened streams. To date, assessments of the
Learn More
USGS science for a changing world logo

Continental-scale overview of stream primary productivity, its links to water quality, and consequences for aquatic carbon biogeochemistry

Streams and rivers have a limited spatial extent, but are increasingly recognized as key components of regional biogeochemical cycles. The collective metabolic processing of organisms, known as ecosystem metabolism, is centrally important to nutrient cycling and carbon fluxes in these environments, but is poorly integrated into emerging biogeochemical concepts. This line of inquiry lags...
By
John Wesley Powell Center for Analysis and Synthesis
Continental-scale overview of stream primary productivity, its links to water quality, and consequences for aquatic carbon biogeochemistry

Continental-scale overview of stream primary productivity, its links to water quality, and consequences for aquatic carbon biogeochemistry

Streams and rivers have a limited spatial extent, but are increasingly recognized as key components of regional biogeochemical cycles. The collective metabolic processing of organisms, known as ecosystem metabolism, is centrally important to nutrient cycling and carbon fluxes in these environments, but is poorly integrated into emerging biogeochemical concepts. This line of inquiry lags behind
Learn More
Filter Total Items: 15

Lake Biogeochemical Model Output for One Retrospective and 12 Future Climate Runs in Northern Wisconsin & Michigan, USA Lake Biogeochemical Model Output for One Retrospective and 12 Future Climate Runs in Northern Wisconsin & Michigan, USA

This dataset contains modeled daily lake area, volume, constituent mass, and biogeochemical rates for 3,692 lakes in the Northern Highlands Lake District (NHLD) for one retrospective model run (1986-2010) and 12 model runs under future climate scenarios. This dataset was created using published tools developed to simulate detailed hydrological and biogeochemical fluxes for thousands of...
By
Water Resources Mission Area

Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016 Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016

Atlantic coast piping plover (Charadrius melodus) nest sites are typically found on low-lying beach and dune systems, which respond rapidly to coastal processes like sediment overwash, inlet formation, and island migration that are sensitive to climate-related changes in storminess and the rate of sea-level rise. Data were obtained to understand piping plover habitat distribution and use...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Predicting water temperature in the Delaware River Basin Predicting water temperature in the Delaware River Basin

Daily temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for sensitive fish and mussel species. This data release supports a variety of flow and water temperature modeling efforts and provides the inputs and outputs of both machine learning and process-based modeling methods across 456...
By
Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes

Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles and optical habitat in 881 lakes in Minnesota during 1980-2018. The...
By
Water Resources Mission Area

Data release: Process-based predictions of lake water temperature in the Midwest US Data release: Process-based predictions of lake water temperature in the Midwest US

Climate change has been shown to influence lake temperatures in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles in 7,150 lakes in Minnesota and Wisconsin during 1980-2019. The data are organized into these items...
By
Water Resources Mission Area

Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate...
By
Climate Adaptation Science Centers
Filter Total Items: 59

Physics-guided recurrent neural networks for predicting lake water temperature Physics-guided recurrent neural networks for predicting lake water temperature

This chapter presents a physics-guided recurrent neural network model (PGRNN) for predicting water temperature in lake systems. Standard machine learning (ML) methods, especially deep learning models, often require a large amount of labeled training samples, which are often not available in scientific problems due to the substantial human labor and material costs associated with data...
Authors
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Aaron Zwart, Michael Steinbach, Vipin Kumar
By
Water Resources Mission Area

Physics-guided neural networks (PGNN): An application in lake temperature modeling Physics-guided neural networks (PGNN): An application in lake temperature modeling

This chapter introduces a framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery. It explains termed physics-guided neural networks (PGNN), leverages the output of physics-based model simulations along with observational features in a hybrid modeling setup to generate predictions using a neural network architecture. Data...
Authors
Arka Daw, Anuj Karpatne, William Watkins, Jordan Read, Vipin Kumar
By
Water Resources Mission Area

Heat budget of lakes Heat budget of lakes

This article gives an overview of the heat fluxes between lakes and their environment. The heat budget of most lakes is dominated by heat fluxes at the lake surface, especially shortwave radiation, incoming and outgoing longwave radiation, and the latent heat flux. The seasonality of these fluxes is the most important driver for seasonal mixing processes in lakes. Changes in heat fluxes...
Authors
Martin Schmid, Jordan Read
By
Water Resources Mission Area

Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020) Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)

The dataset described here includes estimates of historical (1980–2020) daily surface water temperature, lake metadata, and daily weather conditions for lakes bigger than 4 ha in the conterminous United States (n = 185,549), and also in situ temperature observations for a subset of lakes (n = 12,227). Estimates were generated using a long short-term memory deep learning model and...
Authors
Jared D. Willard, Jordan Read, Simon Nemer Topp, Gretchen J. A. Hansen, Vipin Kumar
By
Water Resources Mission Area

Invertibility aware integration of static and time-series data: An application to lake temperature modeling Invertibility aware integration of static and time-series data: An application to lake temperature modeling

Accurate predictions of water temperature are the foundation for many decisions and regulations, with direct impacts on water quality, fishery yields, and power production. Building accurate broad-scale models for lake temperature prediction remains challenging in practice due to the variability in the data distribution across different lake systems monitored by static and time-series...
Authors
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan Read, Vipin Kumar
By
Water Resources Mission Area

Multi-task deep learning of daily streamflow and water temperature Multi-task deep learning of daily streamflow and water temperature

Deep learning (DL) models can accurately predict many hydrologic variables including streamflow and water temperature; however, these models have typically predicted hydrologic variables independently. This study explored the benefits of modeling two interdependent variables, daily average streamflow and daily average stream water temperature, together using multi-task DL. A multi-task...
Authors
Jeffrey Michael Sadler, Alison P. Appling, Jordan Read, Samantha K. Oliver, Xiaowei Jia, Jacob Aaron Zwart, Vipin Kumar
By
Water Resources Mission Area

Non-USGS Publications**

Watras CJ, M Morrow, K Morrison, S Scannell, S Yaziciaglu, JS Read, YH Hu, PC Hanson, TK Kratz. 2013. Evaluation of wireless sensor networks (WSNs) for remote wetland monitoring: Design and initial results. Environmental Monitoring and Assessment. doi:10.1007/s10661-013-3424-8
Read JS, KC Rose. 2013. Physical responses of small temperate lakes to variation in dissolved organic carbon concentrations. Limnology and Oceanography. 58: 921-931. doi:10.4319/lo.2013.58.3.0921[Link]
Youngblut ND, A Shade, JS Read, KD McMahon, RJ Whitaker. 2013. Lineage-specific responses to environmental change in microbial communities. Applied and Environmental Microbiology. 79: 39-47. doi:10.1128/AEM.02226-12
Read JS. Physical processes in small temperate lakes. 2012. PhD Dissertation, University of Wisconsin-Madison
Samal NR, DC Pierson, E Schneiderman, Y Huang, JS Read, A Anandhi, EM Owens. 2012. Impact of climate change on Cannonsville reservoir thermal structure in the New York City Water Supply. Water Quality Research Journal of Canada. 47: 389-405
Staehr PA, JPA Christensen, RD Batt, JS Read. 2012. Ecosystem metabolism in a stratified lake. Limnology and Oceanography. 57: 1317-133
Shade A, JS Read, ND Youngblut, N Fierer, R Knight, TK Kratz, NR Lottig, EE Roden, EH Stanley, J Stombaugh, RJ Whitaker, CH Wu, KD McMahon. 2012. Microbial communities are resilient after a whole-ecosystem disturbance. The ISME Journal. 6: 2153-2167. doi:10.1038/ismej.2012.66
Read JS, DP Hamilton, AR Desai, KC Rose, S MacIntyre, JD Lenters, R Smyth, PC Hanson, JJ Cole, PA Staehr, JA Rusak, DC Pierson, JD Brookes, A Laas, CH Wu. 2012. Lake-size dependency of wind shear and convection as controls on gas exchange. Geophysical Research Letters. 39: L09405. doi:10.1029/2012GL051886
Gaeta JW, JS Read, JF Kitchell, SR Carpenter. 2012. Eradication via destratification: Whole-lake mixing to selectively remove rainbow smelt, a cold-water invasive species. Ecological Applications. 22: 817-827
Kara EL, PC Hanson, DP Hamilton, M Hipsey, KD McMahon, JS Read, LA Winslow, J Dedrick, KC Rose, CC Carey, S Bertilsson, D Motta-Marques, L Beversdorf, T Miller, CH Wu, YF Hsieh, E Gaiser, TK Kratz. 2012. Time-scale dependence in numerical simulations: Assessment of physical, chemical, and biological predictions in a stratified lake from scales of hours to months. Environmental Modelling and Software. 35: 104-121
Read JS, DP Hamilton, ID Jones, K Muraoka, LA Winslow, R Kroiss, CH Wu, E Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environmental Modelling and Software. 26: 1325-1336
Shade A, JS Read, D Welkie, TK Kratz, CH Wu, KD McMahon. 2011. Resistance, resilience, and recovery: Aquatic bacterial dynamics after water column disturbance. Environmental Microbiology. 13: 2752-2767
Read JS, A Shade, CH Wu, A Gorzalski, KD McMahon. 2011. "Gradual Entrainment Lake Inverter" (GELI): A novel device for experimental lake mixing. Limnology and Oceanography: Methods. 9:14-25

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

Science and Products

Overhead view of a series of lakes surrounded by green crops.

Understanding Historical and Predicting Future Lake Temperatures in North and South Dakota

Lakes, reservoirs, and ponds are central and integral features of the North Central U.S. These water bodies provide aesthetic, cultural, and ecosystem services to surrounding wildlife and human communities. External impacts – such as climate change – can have significant impacts to these important parts of the region’s landscape. Understanding the responses of lakes to these drivers is...
By
Climate Adaptation Science Centers
Understanding Historical and Predicting Future Lake Temperatures in North and South Dakota

Understanding Historical and Predicting Future Lake Temperatures in North and South Dakota

Lakes, reservoirs, and ponds are central and integral features of the North Central U.S. These water bodies provide aesthetic, cultural, and ecosystem services to surrounding wildlife and human communities. External impacts – such as climate change – can have significant impacts to these important parts of the region’s landscape. Understanding the responses of lakes to these drivers is critical
Learn More
Clear blue lake with green trees in the background and blue sky with clouds reflected in the water

“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes

Many inland waters across the United States are experiencing warming water temperatures. The impacts of this warming on aquatic ecosystems are significant in many areas, causing problems for fisheries management, as many economically and ecologically important fish species are experiencing range shifts and population declines. Fisheries and natural resource managers need timely and...
By
Climate Adaptation Science Centers
“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes

“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes

Many inland waters across the United States are experiencing warming water temperatures. The impacts of this warming on aquatic ecosystems are significant in many areas, causing problems for fisheries management, as many economically and ecologically important fish species are experiencing range shifts and population declines. Fisheries and natural resource managers need timely and usable data and
Learn More
USGS science for a changing world logo

sbtools: An R package for ScienceBase

Science is an increasingly collaborative endeavor. In an era of Web-enabled research, new tools reduce barriers to collaboration across traditional geographic and disciplinary divides and improve the quality and efficiency of science. Collaborative online code management has moved project collaboration from a manual process of email and thumb drives into a traceable, streamlined system...
By
Community for Data Integration (CDI)
sbtools: An R package for ScienceBase

sbtools: An R package for ScienceBase

Science is an increasingly collaborative endeavor. In an era of Web-enabled research, new tools reduce barriers to collaboration across traditional geographic and disciplinary divides and improve the quality and efficiency of science. Collaborative online code management has moved project collaboration from a manual process of email and thumb drives into a traceable, streamlined system where code
Learn More
View from beach through beachgrass of Frankfort Lighthouse, Michigan in Lake Michigan

An Assessment of Midwestern Lake and Stream Temperatures under Climate Change

Water temperatures are warming in lakes and streams, resulting in the loss of many native fish. Given clear passage, coldwater stream fishes can take refuge upstream when larger streams become too warm. Likewise, many Midwestern lakes “thermally stratify” resulting in warmer waters on top of deeper, cooler waters. Many of these lakes are connected to threatened streams. To date...
By
Climate Adaptation Science Centers
An Assessment of Midwestern Lake and Stream Temperatures under Climate Change

An Assessment of Midwestern Lake and Stream Temperatures under Climate Change

Water temperatures are warming in lakes and streams, resulting in the loss of many native fish. Given clear passage, coldwater stream fishes can take refuge upstream when larger streams become too warm. Likewise, many Midwestern lakes “thermally stratify” resulting in warmer waters on top of deeper, cooler waters. Many of these lakes are connected to threatened streams. To date, assessments of the
Learn More
USGS science for a changing world logo

Continental-scale overview of stream primary productivity, its links to water quality, and consequences for aquatic carbon biogeochemistry

Streams and rivers have a limited spatial extent, but are increasingly recognized as key components of regional biogeochemical cycles. The collective metabolic processing of organisms, known as ecosystem metabolism, is centrally important to nutrient cycling and carbon fluxes in these environments, but is poorly integrated into emerging biogeochemical concepts. This line of inquiry lags...
By
John Wesley Powell Center for Analysis and Synthesis
Continental-scale overview of stream primary productivity, its links to water quality, and consequences for aquatic carbon biogeochemistry

Continental-scale overview of stream primary productivity, its links to water quality, and consequences for aquatic carbon biogeochemistry

Streams and rivers have a limited spatial extent, but are increasingly recognized as key components of regional biogeochemical cycles. The collective metabolic processing of organisms, known as ecosystem metabolism, is centrally important to nutrient cycling and carbon fluxes in these environments, but is poorly integrated into emerging biogeochemical concepts. This line of inquiry lags behind
Learn More
Filter Total Items: 15

Lake Biogeochemical Model Output for One Retrospective and 12 Future Climate Runs in Northern Wisconsin & Michigan, USA Lake Biogeochemical Model Output for One Retrospective and 12 Future Climate Runs in Northern Wisconsin & Michigan, USA

This dataset contains modeled daily lake area, volume, constituent mass, and biogeochemical rates for 3,692 lakes in the Northern Highlands Lake District (NHLD) for one retrospective model run (1986-2010) and 12 model runs under future climate scenarios. This dataset was created using published tools developed to simulate detailed hydrological and biogeochemical fluxes for thousands of...
By
Water Resources Mission Area

Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016 Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016

Atlantic coast piping plover (Charadrius melodus) nest sites are typically found on low-lying beach and dune systems, which respond rapidly to coastal processes like sediment overwash, inlet formation, and island migration that are sensitive to climate-related changes in storminess and the rate of sea-level rise. Data were obtained to understand piping plover habitat distribution and use...
By
Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center

Predicting water temperature in the Delaware River Basin Predicting water temperature in the Delaware River Basin

Daily temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for sensitive fish and mussel species. This data release supports a variety of flow and water temperature modeling efforts and provides the inputs and outputs of both machine learning and process-based modeling methods across 456...
By
Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center

Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes

Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles and optical habitat in 881 lakes in Minnesota during 1980-2018. The...
By
Water Resources Mission Area

Data release: Process-based predictions of lake water temperature in the Midwest US Data release: Process-based predictions of lake water temperature in the Midwest US

Climate change has been shown to influence lake temperatures in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles in 7,150 lakes in Minnesota and Wisconsin during 1980-2019. The data are organized into these items...
By
Water Resources Mission Area

Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes Data release: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes

Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate...
By
Climate Adaptation Science Centers
Filter Total Items: 59

Physics-guided recurrent neural networks for predicting lake water temperature Physics-guided recurrent neural networks for predicting lake water temperature

This chapter presents a physics-guided recurrent neural network model (PGRNN) for predicting water temperature in lake systems. Standard machine learning (ML) methods, especially deep learning models, often require a large amount of labeled training samples, which are often not available in scientific problems due to the substantial human labor and material costs associated with data...
Authors
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Aaron Zwart, Michael Steinbach, Vipin Kumar
By
Water Resources Mission Area

Physics-guided neural networks (PGNN): An application in lake temperature modeling Physics-guided neural networks (PGNN): An application in lake temperature modeling

This chapter introduces a framework for combining scientific knowledge of physics-based models with neural networks to advance scientific discovery. It explains termed physics-guided neural networks (PGNN), leverages the output of physics-based model simulations along with observational features in a hybrid modeling setup to generate predictions using a neural network architecture. Data...
Authors
Arka Daw, Anuj Karpatne, William Watkins, Jordan Read, Vipin Kumar
By
Water Resources Mission Area

Heat budget of lakes Heat budget of lakes

This article gives an overview of the heat fluxes between lakes and their environment. The heat budget of most lakes is dominated by heat fluxes at the lake surface, especially shortwave radiation, incoming and outgoing longwave radiation, and the latent heat flux. The seasonality of these fluxes is the most important driver for seasonal mixing processes in lakes. Changes in heat fluxes...
Authors
Martin Schmid, Jordan Read
By
Water Resources Mission Area

Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020) Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020)

The dataset described here includes estimates of historical (1980–2020) daily surface water temperature, lake metadata, and daily weather conditions for lakes bigger than 4 ha in the conterminous United States (n = 185,549), and also in situ temperature observations for a subset of lakes (n = 12,227). Estimates were generated using a long short-term memory deep learning model and...
Authors
Jared D. Willard, Jordan Read, Simon Nemer Topp, Gretchen J. A. Hansen, Vipin Kumar
By
Water Resources Mission Area

Invertibility aware integration of static and time-series data: An application to lake temperature modeling Invertibility aware integration of static and time-series data: An application to lake temperature modeling

Accurate predictions of water temperature are the foundation for many decisions and regulations, with direct impacts on water quality, fishery yields, and power production. Building accurate broad-scale models for lake temperature prediction remains challenging in practice due to the variability in the data distribution across different lake systems monitored by static and time-series...
Authors
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan Read, Vipin Kumar
By
Water Resources Mission Area

Multi-task deep learning of daily streamflow and water temperature Multi-task deep learning of daily streamflow and water temperature

Deep learning (DL) models can accurately predict many hydrologic variables including streamflow and water temperature; however, these models have typically predicted hydrologic variables independently. This study explored the benefits of modeling two interdependent variables, daily average streamflow and daily average stream water temperature, together using multi-task DL. A multi-task...
Authors
Jeffrey Michael Sadler, Alison P. Appling, Jordan Read, Samantha K. Oliver, Xiaowei Jia, Jacob Aaron Zwart, Vipin Kumar
By
Water Resources Mission Area

Non-USGS Publications**

Watras CJ, M Morrow, K Morrison, S Scannell, S Yaziciaglu, JS Read, YH Hu, PC Hanson, TK Kratz. 2013. Evaluation of wireless sensor networks (WSNs) for remote wetland monitoring: Design and initial results. Environmental Monitoring and Assessment. doi:10.1007/s10661-013-3424-8
Read JS, KC Rose. 2013. Physical responses of small temperate lakes to variation in dissolved organic carbon concentrations. Limnology and Oceanography. 58: 921-931. doi:10.4319/lo.2013.58.3.0921[Link]
Youngblut ND, A Shade, JS Read, KD McMahon, RJ Whitaker. 2013. Lineage-specific responses to environmental change in microbial communities. Applied and Environmental Microbiology. 79: 39-47. doi:10.1128/AEM.02226-12
Read JS. Physical processes in small temperate lakes. 2012. PhD Dissertation, University of Wisconsin-Madison
Samal NR, DC Pierson, E Schneiderman, Y Huang, JS Read, A Anandhi, EM Owens. 2012. Impact of climate change on Cannonsville reservoir thermal structure in the New York City Water Supply. Water Quality Research Journal of Canada. 47: 389-405
Staehr PA, JPA Christensen, RD Batt, JS Read. 2012. Ecosystem metabolism in a stratified lake. Limnology and Oceanography. 57: 1317-133
Shade A, JS Read, ND Youngblut, N Fierer, R Knight, TK Kratz, NR Lottig, EE Roden, EH Stanley, J Stombaugh, RJ Whitaker, CH Wu, KD McMahon. 2012. Microbial communities are resilient after a whole-ecosystem disturbance. The ISME Journal. 6: 2153-2167. doi:10.1038/ismej.2012.66
Read JS, DP Hamilton, AR Desai, KC Rose, S MacIntyre, JD Lenters, R Smyth, PC Hanson, JJ Cole, PA Staehr, JA Rusak, DC Pierson, JD Brookes, A Laas, CH Wu. 2012. Lake-size dependency of wind shear and convection as controls on gas exchange. Geophysical Research Letters. 39: L09405. doi:10.1029/2012GL051886
Gaeta JW, JS Read, JF Kitchell, SR Carpenter. 2012. Eradication via destratification: Whole-lake mixing to selectively remove rainbow smelt, a cold-water invasive species. Ecological Applications. 22: 817-827
Kara EL, PC Hanson, DP Hamilton, M Hipsey, KD McMahon, JS Read, LA Winslow, J Dedrick, KC Rose, CC Carey, S Bertilsson, D Motta-Marques, L Beversdorf, T Miller, CH Wu, YF Hsieh, E Gaiser, TK Kratz. 2012. Time-scale dependence in numerical simulations: Assessment of physical, chemical, and biological predictions in a stratified lake from scales of hours to months. Environmental Modelling and Software. 35: 104-121
Read JS, DP Hamilton, ID Jones, K Muraoka, LA Winslow, R Kroiss, CH Wu, E Gaiser. 2011. Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environmental Modelling and Software. 26: 1325-1336
Shade A, JS Read, D Welkie, TK Kratz, CH Wu, KD McMahon. 2011. Resistance, resilience, and recovery: Aquatic bacterial dynamics after water column disturbance. Environmental Microbiology. 13: 2752-2767
Read JS, A Shade, CH Wu, A Gorzalski, KD McMahon. 2011. "Gradual Entrainment Lake Inverter" (GELI): A novel device for experimental lake mixing. Limnology and Oceanography: Methods. 9:14-25

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

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