List of works - Jacob A. Zwart

Delving deeper: Metabolic processes in the metalimnion of stratified lakes

scientific article published on 9 March 2017

Estimating pelagic primary production in lakes: Comparison of 14 C incubation and free‐water O 2 approaches

scientific article

Experimental whole-lake dissolved organic carbon increase alters fish diet and density but not growth or productivity

article

Experimental whole-lake increase of dissolved organic carbon concentration produces unexpected increase in crustacean zooplankton density.

scientific article published on 26 February 2016

Global Patterns and Controls of Nutrient Immobilization on Decomposing Cellulose in Riverine Ecosystems

scientific article published in March 2022

Global patterns and drivers of ecosystem functioning in rivers and riparian zones

scientific article published on 09 January 2019

Hacking Limnology Workshop and <scp>DSOS22</scp>: Creating a Community of Practice for the Nexus of Data Science, Open Science, and the Aquatic Sciences

scientific article published on 20 October 2022

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation

Hydrologic setting constrains lake heterotrophy and terrestrial carbon fate

article

Improving estimates and forecasts of lake carbon dynamics using data assimilation

scientific article published in 2019

Metabolic and physiochemical responses to a whole-lake experimental increase in dissolved organic carbon in a north-temperate lake

article

Model-Data Fusion to Test Hypothesized Drivers of Lake Carbon Cycling Reveals Importance of Physical Controls

article

Multi-task Deep Learning for Daily Water Temperature and Streamflow Prediction

National-scale remotely sensed lake trophic state from 1984 through 2020

scientific article published on 16 January 2024

Near-term forecasts of stream temperature using process-guided deep learning and data assimilation

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

scientific article

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems

Phytoplankton traits predict ecosystem function in a global set of lakes.

scientific article

Process‐Guided Deep Learning Predictions of Lake Water Temperature

scientific article published in November 2019

Projected changes of regional lake hydrologic characteristics in response to 21st century climate change

scientific article

Spatially Explicit, Regional‐Scale Simulation of Lake Carbon Fluxes

scientific article published in 2018

Support of Early-Career Researchers Supports the Future of ASLO

The <scp>AEMON‐J</scp> “Hacking Limnology” Workshop Series & Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research

scientific article published in 2021

The Influence of Hydrologic Residence Time on Lake Carbon Cycling Dynamics Following Extreme Precipitation Events

article

The importance of lake-specific characteristics for water quality across the continental United States.

scientific article

List of works by Jacob A. Zwart

Delving deeper: Metabolic processes in the metalimnion of stratified lakes

Estimating pelagic primary production in lakes: Comparison of 14 C incubation and free‐water O 2 approaches

Experimental whole-lake dissolved organic carbon increase alters fish diet and density but not growth or productivity

Experimental whole-lake increase of dissolved organic carbon concentration produces unexpected increase in crustacean zooplankton density.

Global Patterns and Controls of Nutrient Immobilization on Decomposing Cellulose in Riverine Ecosystems

Global patterns and drivers of ecosystem functioning in rivers and riparian zones

Hacking Limnology Workshop and <scp>DSOS22</scp>: Creating a Community of Practice for the Nexus of Data Science, Open Science, and the Aquatic Sciences

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation

Hydrologic setting constrains lake heterotrophy and terrestrial carbon fate

Improving estimates and forecasts of lake carbon dynamics using data assimilation

Metabolic and physiochemical responses to a whole-lake experimental increase in dissolved organic carbon in a north-temperate lake

Model-Data Fusion to Test Hypothesized Drivers of Lake Carbon Cycling Reveals Importance of Physical Controls

Multi-task Deep Learning for Daily Water Temperature and Streamflow Prediction

National-scale remotely sensed lake trophic state from 1984 through 2020

Near-term forecasts of stream temperature using process-guided deep learning and data assimilation

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems

Phytoplankton traits predict ecosystem function in a global set of lakes.

Process‐Guided Deep Learning Predictions of Lake Water Temperature

Projected changes of regional lake hydrologic characteristics in response to 21st century climate change

Spatially Explicit, Regional‐Scale Simulation of Lake Carbon Fluxes

Support of Early-Career Researchers Supports the Future of ASLO

The <scp>AEMON‐J</scp> “Hacking Limnology” Workshop Series & Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research

The Influence of Hydrologic Residence Time on Lake Carbon Cycling Dynamics Following Extreme Precipitation Events

The importance of lake-specific characteristics for water quality across the continental United States.

Using Machine Learning to Develop a Predictive Understanding of the Impacts of Extreme Water Cycle Perturbations on River Water Quality

List of works by Jacob A. Zwart

Delving deeper: Metabolic processes in the metalimnion of stratified lakes

Estimating pelagic primary production in lakes: Comparison of 14 C incubation and free‐water O 2 approaches

Experimental whole-lake dissolved organic carbon increase alters fish diet and density but not growth or productivity

Experimental whole-lake increase of dissolved organic carbon concentration produces unexpected increase in crustacean zooplankton density.

Global Patterns and Controls of Nutrient Immobilization on Decomposing Cellulose in Riverine Ecosystems

Global patterns and drivers of ecosystem functioning in rivers and riparian zones

Hacking Limnology Workshop and <scp>DSOS22</scp>: Creating a Community of Practice for the Nexus of Data Science, Open Science, and the Aquatic Sciences

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation

Hydrologic setting constrains lake heterotrophy and terrestrial carbon fate

Improving estimates and forecasts of lake carbon dynamics using data assimilation

Metabolic and physiochemical responses to a whole-lake experimental increase in dissolved organic carbon in a north-temperate lake

Model-Data Fusion to Test Hypothesized Drivers of Lake Carbon Cycling Reveals Importance of Physical Controls

Multi-task Deep Learning for Daily Water Temperature and Streamflow Prediction

National-scale remotely sensed lake trophic state from 1984 through 2020

Near-term forecasts of stream temperature using process-guided deep learning and data assimilation

Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems

Phytoplankton traits predict ecosystem function in a global set of lakes.

Process‐Guided Deep Learning Predictions of Lake Water Temperature

Projected changes of regional lake hydrologic characteristics in response to 21st century climate change

Spatially Explicit, Regional‐Scale Simulation of Lake Carbon Fluxes

Support of Early-Career Researchers Supports the Future of ASLO

The <scp>AEMON‐J</scp> “Hacking Limnology” Workshop Series &amp; Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research

The Influence of Hydrologic Residence Time on Lake Carbon Cycling Dynamics Following Extreme Precipitation Events

The importance of lake-specific characteristics for water quality across the continental United States.

Using Machine Learning to Develop a Predictive Understanding of the Impacts of Extreme Water Cycle Perturbations on River Water Quality

The <scp>AEMON‐J</scp> “Hacking Limnology” Workshop Series & Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research