Alison Appling - Concepedia

Author

Alison Appling

Also Known As

A. P. Appling, Ahmadia, Aron, Alison Appling, Alison P. Appling, Alison,P Appling, Appling, Alison, Appling, Alison P, Appling, Alison P., US Geological Survey

Publications

3.4K

Citations

H-Index

106

Concepts

All Affiliations

United States Geological Survey University of Pittsburgh Pennsylvania State University Duke University University of Wisconsin–Madison

About

Alison Appling is an author at United States Geological Survey specializing in engineering, hydrology, and water resources.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	24	2.2K
2	Medicine	2	2	257
3	Social Sciences	2	2	58
4	Biology	2	2	121
5	Public Health	1	1	87

Alison Appling

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
Process‐Guided Deep Learning Predictions of Lake Water Temperature Jordan S. Read, Xiaowei Jia, Jared Willard, Water Resources Research Reservoir SimulationDeep Neural NetworksWater Temperature PredictionsMachine LearningWater Resources	2019	393
The metabolic regimes of flowing waters Emily S. Bernhardt, James B. Heffernan, Nancy B. Grimm, Limnology and Oceanography Environmental FlowBiogeochemistryRiver Basin ManagementEngineeringMetabolic Regimes	2017	367
Overcoming Equifinality: Leveraging Long Time Series for Stream Metabolism Estimation Alison Appling, Robert O. Hall, Charles B. Yackulic, Journal of Geophysical Research Biogeosciences EngineeringEcological ModellingClimate ModelingStreaming AlgorithmLong Time Series	2018	223
Deep learning for water quality Wei Zhi, Alison Appling, Heather E. Golden, Nature Water Convolutional Neural NetworkDeep LearningWater ManagementWater QualityWater Quality Management	2024	211
Light and flow regimes regulate the metabolism of rivers Emily S. Bernhardt, Philip Savoy, Michael Vlah, Proceedings of the National Academy of Sciences Environmental FlowUs RiversBiogeochemistryRiver Basin ManagementEarth Science	2022	191
AquaSat: A Data Set to Enable Remote Sensing of Water Quality for Inland Waters Matthew Ross, Simon Topp, Alison Appling, Water Resources Research Earth ObservationEnvironmental MonitoringEngineeringWater Quality MonitoringOceanography	2019	151
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data Farshid Rahmani, Kathryn Lawson, Wenyu Ouyang, Environmental Research Letters	2020	134
The metabolic regimes of 356 rivers in the United States Alison Appling, Jordan S. Read, Luke Winslow, Scientific Data	2018	101
Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes Philip Savoy, Alison Appling, James B. Heffernan, Limnology and Oceanography Environmental FlowU.s. RiversRiver Basin ManagementEngineeringWater Resources	2019	98
Reducing bias and quantifying uncertainty in watershed flux estimates: the R package loadflex Alison Appling, Miguel Leon, William H. McDowell Ecosphere Hydrological PredictionEngineeringHydrologic EngineeringEarth ScienceNitrate Loads	2015	97

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