Seuraa
Alison Appling
Alison Appling
Vahvistettu sähköpostiosoite verkkotunnuksessa usgs.gov - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
The metabolic regimes of flowing waters
ES Bernhardt, JB Heffernan, NB Grimm, EH Stanley, JW Harvey, M Arroita, ...
Limnology and Oceanography 63 (S1), S99-S118, 2018
3132018
Process‐guided deep learning predictions of lake water temperature
JS Read, X Jia, J Willard, AP Appling, JA Zwart, SK Oliver, A Karpatne, ...
Water Resources Research 55 (11), 9173-9190, 2019
2532019
Overcoming equifinality: Leveraging long time series for stream metabolism estimation
AP Appling, RO Hall Jr, CB Yackulic, M Arroita
Journal of Geophysical Research: Biogeosciences 123 (2), 624-645, 2018
1622018
Physics-guided architecture (pga) of neural networks for quantifying uncertainty in lake temperature modeling
A Daw, RQ Thomas, CC Carey, JS Read, AP Appling, A Karpatne
Proceedings of the 2020 siam international conference on data mining, 532-540, 2020
1292020
AquaSat: A data set to enable remote sensing of water quality for inland waters
MRV Ross, SN Topp, AP Appling, X Yang, C Kuhn, D Butman, M Simard, ...
Water Resources Research 55 (11), 10012-10025, 2019
1042019
Reducing bias and quantifying uncertainty in watershed flux estimates: the R package loadflex
AP Appling, MC Leon, WH McDowell
Ecosphere 6 (12), 1-25, 2015
952015
Stoichiometric flexibility in response to fertilization along gradients of environmental and organismal nutrient richness
SA Sistla, AP Appling, AM Lewandowska, BN Taylor, AA Wolf
Oikos 124 (7), 949-959, 2015
822015
Light and flow regimes regulate the metabolism of rivers
ES Bernhardt, P Savoy, MJ Vlah, AP Appling, LE Koenig, RO Hall Jr, ...
Proceedings of the National Academy of Sciences 119 (8), e2121976119, 2022
802022
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data
F Rahmani, K Lawson, W Ouyang, A Appling, S Oliver, C Shen
Environmental Research Letters 16 (2), 024025, 2021
792021
The metabolic regimes of 356 rivers in the United States
AP Appling, JS Read, LA Winslow, M Arroita, ES Bernhardt, NA Griffiths, ...
Scientific data 5 (1), 1-14, 2018
742018
Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes
P Savoy, AP Appling, JB Heffernan, EG Stets, JS Read, JW Harvey, ...
Limnology and Oceanography 64 (5), 1835-1851, 2019
652019
Physics-guided recurrent graph model for predicting flow and temperature in river networks
X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ...
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
572021
Floodplain biogeochemical mosaics: a multidimensional view of alluvial soils
AP Appling, ES Bernhardt, JA Stanford
Journal of Geophysical Research: Biogeosciences 119 (8), 1538-1553, 2014
552014
Predicting water temperature dynamics of unmonitored lakes with meta‐transfer learning
JD Willard, JS Read, AP Appling, SK Oliver, X Jia, V Kumar
Water Resources Research 57 (7), e2021WR029579, 2021
542021
Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams
JD Hosen, KS Aho, AP Appling, EC Creech, JH Fair, RO Hall Jr, ...
Limnology and Oceanography 64 (4), 1458-1472, 2019
462019
streamMetabolizer: Models for estimating aquatic photosynthesis and respiration
AP Appling, RO Hall, M Arroita, CB Yackulic
R package version 0.10 9, 2018
42*2018
Nutrient limitation and physiology mediate the fine-scale (de) coupling of biogeochemical cycles
AP Appling, JB Heffernan
The American Naturalist 184 (3), 384-406, 2014
412014
geoknife: reproducible web-processing of large gridded datasets
JS Read, JI Walker, AP Appling, DL Blodgett, EK Read, LA Winslow
Ecography, 10.1111/ecog.01880, 2015
352015
Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins
F Rahmani, C Shen, S Oliver, K Lawson, A Appling
Hydrological Processes 35 (11), e14400, 2021
322021
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ...
Hydrological Processes 36 (4), e14565, 2022
272022
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