Publications

Papers

#	Citation
41	Shaftel, B., …, J. Schwenk, et al (2026). Integrating climate data and river modeling to reveal Chinook salmon habitat conditions in Sub-Arctic river basins. Ecosphere. DOI: 10.1002/ecs2.70399
40	Limber, R., …, J. Schwenk, et al (2025). Long short-term memory model to forecast river ice breakup throughout Alaska, USA. Water Resources Research. DOI: 10.1029/2025WR040635.
39	Diepeveen, W., J. Schwenk, A. Bertozzi (2025). Latent Diffeomorphic Dynamic Mode Decomposition. Applied Mathematics Letters. DOI: 10.1016/j.aml.2025.109701.
38	Solander, K., T. Zhou, K. Bennett, J. Schwenk (2025). Evaluation of CMIP6 streamflow in the Arctic. Journal of Hydrometeorology. DOI: 10.1175/JHM-D-24-0124.1.
37	Nair, G., …, J. Schwenk, et al (2025). Increasing mosquito abundance under global warming. Earth’s Future. DOI: 10.1029/2024EF005629.
36	Wortmann, M., …, J. Schwenk, et al (2025). Global River Topology (GRiT): A bifurcating river hydrography. Water Resources Research. DOI: 10.1029/2024WR038308.
35	Chang, S., Solander, K., and J. Schwenk (2025). Deep learning advances Arctic river water temperature predictions. Water Resources Research. DOI: 10.1029/2024WR039053.
34	Maebius, S., K. Bennett., and J. Schwenk (2024). Machine learning classification strategy to improve streamflow estimates in diverse river basins in the Colorado River basin. Earth and Space Science. DOI: 10.1029/2024EA003798.
33	Chen, B., K. Miller, A. Bertozzi, and J. Schwenk (2024). CGAP: A hybrid contrastive and graph-based active learning pipeline to detect water and sediment in multispectral images. IEEE Applied Earth Observations. DOI: 10.1109/JSTARS.2024.3493073.
32	Abolt, C., …, J. Schwenk, et al (2024). Topography drives variability in circumpolar permafrost thaw pond expansion. JGR Earth Surface. DOI: 10.1029/2024JF007675.
31	Douglas, M., …, J. Schwenk, et al (2024). Permafrost formation in a meandering river floodplain. AGU Advances. DOI: 10.1029/2024AV001175.
30	Thaler, E., …, J. Schwenk, et al (2024). High-resolution maps of near-surface permafrost for three watersheds on the Seward Peninsula, Alaska derived from machine learning. Earth and Space Science. DOI: 10.1029/2023EA003015.
29	Rowland, J., J. Schwenk, et al (2023). Scale-dependent influence of permafrost on riverbank erosion rates. JGR Earth Surface. DOI: 10.1029/2023JF007101.
28	Chen, B., Miller, K., Bertozzi, A., and J. Schwenk (2023). Batch active learning for multispectral and hyperspectral image segmentation using similarity graphs. Communications on Applied Mathematics and Computation. DOI: 10.1007/s42967-023-00284-8.
27	Bennett, K., J. Schwenk, et al (2023). Recent streamflow trends across permafrost basins of North America. Frontiers in Water. DOI: 10.3389/frwa.2023.1099660.
26	Chen, B., Miller, K., Bertozzi, A., and J. Schwenk (2023). Graph-based active learning for surface water and sediment detection in multispectral images. IGARRS 2023 IEEE International Geoscience and Remote Sensing Symposium. DOI: 10.1109/IGARSS52108.2023.10282009.
25	Knights, D., Piliouras, A., J. Schwenk, Hariharan, J., Russoniello, C (2023). Seasonal and morphological controls on nitrate retention in Arctic deltas. Geophysical Research Letters. DOI: 10.1029/2022GL102201.
24	Cooper, M., …, J. Schwenk, et al (2023). Detecting change in permafrost active layer thickness from nonlinear baseflow recession analysis. Water Resources Research. DOI: 10.1029/2022WR033154.
23	Beesley, L., …, J. Schwenk, et al (2023). Multi-dimensional resilience: a quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries. PLOS one. DOI: 10.1371/journal.pone.0279894.
22	Stachelek, J., Avendano, S., and J. Schwenk (2022). Geographically-aware estimates of remotely-sensed water properties for Chesapeake Bay. Journal of Applied Remote Sensing. DOI: 10.1117/1.JRS.16.044528.
21	Tejedor, A., J. Schwenk, et al (2022). The Entropic Braiding Index (eBI): a robust metric to account for the diversity of channel scales in multi-thread rivers. Geophysical Research Letters. DOI: 10.1029/2022GL099681.
20	Hariharan, J., A. Piliouras, J. Schwenk, P. Passalacqua (2022). Width-Based Discharge Partitioning in Distributary Networks: How Right We Are. Geophysical Research Letters. DOI: 10.1029/2022GL097897.
19	Schwenk, J., T. Zussman, J. Stachelek, and J. Rowland (2022). rabpro: global watershed boundaries, river elevation profiles, and catchment statistics. Journal of Open Source Software. DOI: 10.21105/joss.04237.
18	Konkol, A., J. Schwenk, E. Katifori, J. Shaw (2021). Interplay of river and tidal forcings promotes loops in coastal channel networks. Geophysical Research Letters. DOI: 10.1029/2022GL098284.
17	Schwenk, J. and J. Hariharan (2021). RivGraph: Automatic extraction and analysis of river and delta channel network topology. Journal of Open Source Software. DOI: 10.21105/joss.02952.
16	Limaye, A., E. Lazarus, Y. Li, and J. Schwenk (2021). River sinuosity describes a continuum between randomness and ordered growth. Geology. DOI: 10.1130/G49153.1.
15	Douglas, M., …, J. Schwenk, et al (2021). Organic carbon burial by river meandering partially offsets bank erosion carbon fluxes in a discontinuous permafrost floodplain. Earth Surface Dynamics. DOI: 10.5194/esurf-2021-80.
14	Douglas, M., …, J. Schwenk, et al (2021). Impact of river channel lateral migration on the microbial ecology of a discontinuous permafrost floodplain. Applied & Environmental Microbiology. DOI: 10.1128/AEM.01339-21.
13	Schwenk, J., A. Piliouras, J. Rowland (2020). Determining flow directions in river channel networks using planform morphology and topology. Earth Surface Dynamics. DOI: 10.5194/esurf-8-87-2020.
12	Vulis, L., A. Tejedor, J. Schwenk, A. Piliouras, J. Rowland, E. Foufoula-Georgiou (2020). Channel network control on seasonal lake area dynamics in Arctic Deltas. Geophysical Research Letters. DOI: 10.1029/2019GL086710.
11	Knights, D., …, J. Schwenk, et al (2019). Nitrate removal across ecogeomorphic zones in Wax Lake Delta, Louisiana (USA). Water Resources Research. DOI: 10.1029/2019WR026867.
10	Gran, K., J. Schwenk, et al (2019). The power of environmental observations for advancing multidisciplinary research, outreach, and decision support: the case of the Minnesota River Basin. Water Resources Research. DOI: 10.1029/2018WR024211.
9	Schwenk, J., E. Foufoula-Georgiou (2017). Meander cutoffs nonlocally accelerate upstream and downstream migration and channel widening. Geophysical Research Letters. DOI: 10.1002/2016GL071670.
8	Schwenk, J., A. Khandelwal, M. Fratkin, V. Kumar, E. Foufoula-Georgiou (2017). High spatio-temporal resolution of river planform dynamics from Landsat: the RivMAP toolbox and results from the Ucayali River, Earth and Space Science,. DOI: 10.1002/2016EA000196.
7	Schwenk, J., E. Foufoula-Georgiou (2017). Are process nonlinearities encoded in meandering river planform morphology? JGR Earth Surface,. DOI: 10.1002/2016JF003929.
6	Schwenk, J (2016). Meandering rivers: interpreting dynamics from planform geometry and the secret lives of migrating meanders. Ph.D. Dissertation.
5	Schwenk, J., S. Lanzoni, and E. Foufoula-Georgiou (2015). The life of a meander bend: connecting shape and dynamics via analysis of a numerical model. JGR Earth Surface. DOI: 10.1002/2014JF003252.
4	E. Foufoula-Georgiou, Patrick Belmont, P. Wilcock, K. Gran, J. Finlay, P. Kumar, J. Czuba, J. Schwenk, Z. Takbiri (2016). Comment on “Climate and agricultural land use change impacts on streamflow in the upper midwestern United States” by Satish C. Gupta et al. Water Res. Research. DOI: 10.1002/2015WR018494.
3	Foufoula-Georgiou, E., Z. Takbiri, J. Czuba, and J. Schwenk (2015). The change of nature and the nature of change in agricultural landscapes: Hydrologic regime shifts modulate ecological transitions. Water Res. Research. DOI: 10.1002/2015WR017637.
2	Hansen, A.T., J.A. Czuba, J. Schwenk, A. Longjas, M. Danesh-Yazdi, and E. Foufoula-Georgiou (2015). Coupling freshwater mussel ecology and river dynamics using a simplified dynamic interaction model. Freshwater Science. DOI: 10.1086/684223.
1	Schwenk, J., Faisal Hossain, David Huddleston (2009). A computer-aided visualization tool for stochastic theory education in water resources engineering. Comp. App. in Eng. Edu. DOI: 10.1002/cae.20233.

Datasets

#	Dataset
8	Schwenk, J., J. Rowland, A. Piliouras (2023). Observations and machine-learned models of near-surface permafrost along the Koyukuk River, Alaska, USA. ESS-DIVE repository. DOI: 10.15485/1922517.
7	Rowland, J., B. Crosby, J. Schwenk, A. Piliouras, M. Douglas (2023). Riverbank temperatures on the Selawik River, Alaska 2010-2012, and Koyukuk River, Alaska June to July 2018. ESS-DIVE repository. DOI: 10.15485/1922885.
6	Schwenk, J. and J. Rowland (2022). RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1. 0. ESS-DIVE repository. DOI: 10.15485/1865732.
5	Hariharan, J., A. Pilouras, J. Schwenk, P. Passalacqua (2022). Discharge in Distributary NeTworks (DIDNT) Dataset. OSF Repository. DOI: 10.17605/OSF.IO/U732.
4	Bennett K., C. Talsma, J Stachelek, J. Schwenk (2022). : Historical and Future Extreme Event Indices for the Colorado River Basin. DOI: 10.15485/1862040.
3	Prior, E., J. Schwenk, and J. Rowland (2022). VotE-Dams: a compilation of global dams’ locations and attributes (v1). ESS-DIVE repository. DOI: 10.15485/1843541.
2	Douglas, M., …, J. Schwenk, et al (2022). Bulk density, grain size, carbon content and isotopes, and nitrogen content of floodplain sediment along the Koyukuk River, Alaska collected in Summer 2018. ESS-DIVE repository. DOI: 10.15485/1910300.
1	Rowland, J. and J. Schwenk (2019). Global meta-analysis of published river bank erosion and migration rates. Incorporating the Hydrological Controls on Carbon Cycling in Floodplain Ecosystems into Earth System Models (ESMs). DOI: 10.15485/1571181.

Reports

#	Report
4	Schwenk, J. and A. Whelsky (2025). The future of hydroelectric generation in Brazil. Los Alamos National Laboratory (Internal document).
3	Schwenk, J. et al (2024). Permafrost impacts on infrastructure in the Arctic. Los Alamos National Laboratory (Internal document).
2	Schwenk, J. et al (2024). Comprehensive modeling and evaluation of climate impacts on water dynamics in Southern Asia. Los Alamos National Laboratory (Internal document).
1	Fairchild, G., … J. Schwenk, et al (2020). Forecasting Regional Stability (FoReSt): Predicting, Quantifying, and Mitigating Regional Stability. Los Alamos National Laboratory (Internal document).