[HTML][HTML] Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling

AP Piotrowski, JJ Napiorkowski, AE Piotrowska - Earth-Science Reviews, 2020 - Elsevier
Although deep learning applicability in various fields of earth sciences is rapidly increasing,
shallow multilayer-perceptron neural networks remain widely used for regression problems …

The NorWeST summer stream temperature model and scenarios for the western US: A crowd‐sourced database and new geospatial tools foster a user community …

DJ Isaak, SJ Wenger, EE Peterson… - Water Resources …, 2017 - Wiley Online Library
Thermal regimes are fundamental determinants of aquatic ecosystems, which makes
description and prediction of temperatures critical during a period of rapid global change …

Climate change effects on stream and river temperatures across the northwest US from 1980–2009 and implications for salmonid fishes

DJ Isaak, S Wollrab, D Horan, G Chandler - Climatic change, 2012 - Springer
Thermal regimes in rivers and streams are fundamentally important to aquatic ecosystems
and are expected to change in response to climate forcing as the Earth's temperature …

The reference condition: predicting benchmarks for ecological and water-quality assessments

CP Hawkins, JR Olson, RA Hill - Journal of the North …, 2010 - journals.uchicago.edu
Benchmarks provide context and are a critical element of all ecological assessments. Over
the last 25 y, hundreds of papers have been published on various aspects of ecological …

[HTML][HTML] A spatio-temporal statistical model of maximum daily river temperatures to inform the management of Scotland's Atlantic salmon rivers under climate change

FL Jackson, RJ Fryer, DM Hannah, CP Millar… - Science of the Total …, 2018 - Elsevier
The thermal suitability of riverine habitats for cold water adapted species may be reduced
under climate change. Riparian tree planting is a practical climate change mitigation …

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

A Gallice, B Schaefli, M Lehning… - Hydrology and Earth …, 2015 - hess.copernicus.org
The development of stream temperature regression models at regional scales has regained
some popularity over the past years. These models are used to predict stream temperature …

Comparing various artificial neural network types for water temperature prediction in rivers

AP Piotrowski, MJ Napiorkowski, JJ Napiorkowski… - Journal of …, 2015 - Elsevier
A number of methods have been proposed for the prediction of streamwater temperature
based on various meteorological and hydrological variables. The present study shows a …

Controls of summer stream temperature in the Pacific Northwest

TD Mayer - Journal of Hydrology, 2012 - Elsevier
This is a regional study of the landscape, stream, and channel factors that control summer
stream temperatures in the Pacific Northwest. The study focusses on two characteristics of …

A regional neural network ensemble for predicting mean daily river water temperature

JT DeWeber, T Wagner - Journal of Hydrology, 2014 - Elsevier
Water temperature is a fundamental property of river habitat and often a key aspect of river
resource management, but measurements to characterize thermal regimes are not available …

Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming

JA Leach, RD Moore - Water Resources Research, 2019 - Wiley Online Library
Stream temperature has been increasing in tandem with air temperature, with potentially
negative impacts on cold‐water fish such as salmon. Assessing future stream temperature …