Preprints

Filtering by Subject: Hydrology

A Systematic Review of Deep Learning Applications in Interpolation and Extrapolation of Precipitation Data

Muhammed Sit, Bekir Zahit Demiray, Ibrahim Demir

Published: 2022-11-17
Subjects: Earth Sciences, Hydrology, Meteorology

With technological enhancements, the volume, velocity, and variety (3Vs) of the raw digital Earth data have increased in recent years. Due to the increased availability of computer resources and the growing popularity of deep learning applications, this data has been a crucial source for data-driven studies that have transformed the fields of climate and earth science. One of the critical data [...]

Contemporary and historical detection of small lakes using cross-sensor super resolution Landsat imagery

Ethan D Kyzivat, Laurence C Smith

Published: 2022-11-17
Subjects: Artificial Intelligence and Robotics, Environmental Monitoring, Hydrology

Landsat is the longest-running environmental satellite program and has been used for surface water mapping of large water bodies since its launch in 1972. Remote sensing image resolution is increasingly being enhanced through single image super resolution (SR), a machine learning task typically performed by neural networks. Here, we show that a 10x SR model (Enhanced Super Resolution GAN, or [...]

Epitomic Data for Community Land Model Standalone Simulations for Prognostic Analyses of Tropical Mountain Glaciation and Lake Temperature in Pre-Industrial, Last Glacial Maximum, and Extreme Glacial Climates

Nicholas Gray Heavens

Published: 2022-11-15
Subjects: Climate, Fresh Water Studies, Glaciology, Hydrology

Global climate models typically simulate climate at much larger spatial scales than tropical mountain glaciers and many of the world’s lakes. Yet some of the proxy data that can be used to validate models of past climate on land come from and are related to these geographic features. Validating global climate models using these proxies requires some method of downscaling global climate model [...]

The unknown fate of macroplastic in mountain rivers

Maciej Liro, Tim van Emmerik, Anna Zielonka, et al.

Published: 2022-11-09
Subjects: Earth Sciences, Environmental Indicators and Impact Assessment, Environmental Monitoring, Geology, Geomorphology, Hydrology, Life Sciences, Natural Resources and Conservation, Sedimentology, Stratigraphy, Sustainability, Terrestrial and Aquatic Ecology, Water Resource Management

Mountain rivers are typically seen as relatively pristine ecosystems, supporting numerous goods (e.g., water resources) for human populations living not only in the mountain regions but also downstream from them. Recent evidence suggests, however, that mountain river valleys in populated areas can be substantially polluted by macroplastic (plastic item > 5 mm). It is, however, unknown how [...]

Celebrating the contributions of Kamini Singha as a mentor, researcher, and community leader in hydrologic science

Joel Singley, Martin Briggs, Beth Hoagland, et al.

Published: 2022-10-26
Subjects: Hydrology

The outsized contributions of individual scientists have always been worthy of special recognition, and are made more impressive when those achievements are from individuals in historically underrepresented groups, such a women in hydrologic science. Here, we recognize the contributions of Dr. Kamini Singha, which span excellence in the broad areas of research, education, mentoring, and service [...]

GANSim-surrogate: An integrated framework for conditional geomodelling and uncertainty analysis

Suihong Song, Dongxiao Zhang, Tapan Mukerji, et al.

Published: 2022-10-24
Subjects: Computational Engineering, Earth Sciences, Environmental Engineering, Fluid Dynamics, Geology, Geophysics and Seismology, Hydrology, Sedimentology

We propose a deep-learning framework (GANSim-surrogate) for conditioning subsurface geomodel realizations to static data and dynamic flow data. The static data includes well facies data, interpreted facies probability maps, and non-spatial global features, while dynamic data can include well data such as pressures and flow rates. The framework consists of a Convolutional Neural Network (CNN) [...]

In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance

Martin Gauch, Frederik Kratzert, Oren Gilon, et al.

Published: 2022-10-19
Subjects: Earth Sciences, Hydrology, Physical Sciences and Mathematics, Water Resource Management

Building accurate rainfall-runoff models is an integral part of hydrological science and practice. The variety of modeling goals and applications have led to a large suite of evaluation metrics for these models. Yet, hydrologists still put considerable trust into visual judgment, although it is unclear whether such judgment agrees or disagrees with existing quantitative metrics. In this study, we [...]

Tsunami Early Warning from Global Navigation Satellite System Data using Convolutional Neural Networks

Donsub Rim, Robert Baraldi, Christopher M Liu, et al.

Published: 2022-09-29
Subjects: Earth Sciences, Geophysics and Seismology, Hydrology, Oceanography

We investigate the potential of using Global Navigation Satellite System (GNSS) observations to directly forecast full tsunami waveforms in real time. We train convolutional neural networks (CNNs) to use less than 9 minutes of GNSS data to forecast the full tsunami waveforms over 6 hours at select locations, and obtain accurate forecasts on a test dataset. Our training and test data consists of [...]

STEEP: a remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests

Ulisses A. Bezerra, John Cunha, Fernanda Falente, et al.

Published: 2022-09-27
Subjects: Hydrology, Meteorology

Improvement of evapotranspiration (ET) estimates using remote sensing (RS) products based on multispectral and thermal sensors has been a breakthrough in hydrological research. In large-scale applications, methods that use the approach of RS-based surface energy balance (SEB) models often rely on oversimplifications of the aerodynamic resistances. The use of these SEB models for Seasonally Dry [...]

Macrophyte-hydrodynamic interactions mediate stratification and dissolved oxygen dynamics in ponds

Ellen Amara Albright, Robert Ladwig, Grace Marie Wilkinson

Published: 2022-09-24
Subjects: Biogeochemistry, Hydrology, Terrestrial and Aquatic Ecology

Small waterbodies are sensitive to stressors such as eutrophication and heatwaves; however, interactions between macrophytes and hydrodynamics may mediate the effects of compounding stressors. Leveraging an ecosystem experiment and hydrodynamic model, we evaluated how macrophyte biomass, thermal structure, and dissolved oxygen (DO) responded to the interaction of episodic nutrient loading and [...]

Two-dimensional model of flow and transport in porous media: linking heterogeneous anisotropy with stratal patterns in meandering tidal channel deposits of the Venice Lagoon (Italy)

Elena Bachini, Elena Bellizia, Mario Putti, et al.

Published: 2022-09-08
Subjects: Geomorphology, Hydrology, Numerical Analysis and Computation

Understanding the internal structure of permeable and impermeable sediments (e.g. point-bars and tidal-flat deposits) generated by the evolution of meandering tidal channels is essential for accurate modeling of groundwater flow and contaminant transport in coastal areas. The detailed reconstruction of stratal geometry and hydraulic properties from measurements must be accompanied by depositional [...]

Multi-fold increase in rainforests tipping risk beyond 1.5-2⁰C warming

Chandrakant Singh, Ruud van der Ent, Ingo Fetzer, et al.

Published: 2022-09-06
Subjects: Earth Sciences, Environmental Sciences, Hydrology

Tropical rainforests invest in their root systems to store soil moisture from water-rich periods for use in water-scarce periods. An inadequate root-zone soil moisture storage predisposes or forces these forest ecosystems to transition to a savanna-like state, devoid of their native structure and functions. Yet changes in soil moisture storage and its influence on the rainforest ecosystems under [...]

Machine learning for understanding inland water quantity, quality, and ecology

Alison Paige Appling, Samantha Kay Oliver, Jordan S. Read, et al.

Published: 2022-09-03
Subjects: Applied Statistics, Fresh Water Studies, Hydrology

This chapter provides an overview of machine learning models and their applications to the science of inland waters. Such models serve a wide range of purposes for science and management: predicting water quality, quantity, or ecological dynamics across space, time, or hypothetical scenarios; vetting and distilling raw data for further modeling or analysis; generating and exploring hypotheses; [...]

A Simple Framework for Calibrating Hydraulic Flood Inundation Models using Crowd-sourced Water Levels

Antara Dasgupta, Stefania Grimaldi, RAAJ Ramsankaran, et al.

Published: 2022-08-23
Subjects: Civil Engineering, Fluid Dynamics, Hydraulic Engineering, Hydrology, Water Resource Management

Floods are the most commonly occurring natural disaster, with the Centre for Research on the Epidemiology of Disasters 2021 report on “The Non-COVID Year in Disasters” estimating economic losses worth over USD 51 million and over 6000 fatalities in 2020. The hydrodynamic models which are used for flood forecasting need to be evaluated and constrained using observations of water depth and extent. [...]

Double surface rupture and hydraulic recharge of a three-fault system during the Mw 4.9 earthquake of 11 November 2019 at Le Teil (France)

André Burnol, Antoine Armandine Les Landes, Daniel Raucoules, et al.

Published: 2022-08-08
Subjects: Earth Sciences, Geophysics and Seismology, Hydrology, Numerical Analysis and Scientific Computing

The Mw 4.9 earthquake of 11 November 2019 at Le Teil (France) occurred at a very shallow depth (about 1 km) inducing the surface rupture of La Rouvière fault, nearby of a limestone quarry. Thanks to satellite differential interferometry, we detected the existence of the secondary surface rupture of the quasi-parallel Bayne Rocherenard fault. A newly processed seismic cross-section allowed us to [...]

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