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Preprints

There are 8009 Preprints listed.

HydroModelSpec: Toward Standardized Machine Learning Model Exchange in Hydrology

Nikhil Singh, Ramteja Sajja, Yusuf Sermet, et al.

Published: 2026-05-30
Subjects: Environmental Sciences, Hydrology, Software Engineering

The rapid growth of deep learning models for hydrological forecasting (e.g., CNNs, LSTMs, Transformers) has created a fragmented ecosystem where trained models remain tied to their original frameworks, environments, and institutions. Despite substantial investments in model development, the hydrological community lacks a generalized structure for packaging models with their architecture, training [...]

Engineering AI-Assisted Client-Side Scientific Workflows: WebGPU Inference Architecture and Framework for Privacy-Preserving Hydrological Analysis

Nikhil Singh, Ramteja Sajja, Yusuf Sermet, et al.

Published: 2026-05-30
Subjects: Artificial Intelligence and Robotics, Environmental Sciences, Hydrology, Software Engineering

Deep learning has demonstrated strong potential for improving hydrological predictions, yet its practical adoption remains limited by software complexity, infrastructure requirements, data governance constraints, and fragmented analytical workflows. This study presents Hydro AI Lab, an AI-assisted client-side scientific workflow platform that enables end-to-end hydrological analysis, including [...]

The three causal pathways of ENSO teleconnections to High Mountain Asia winter precipitation

Pritam Jyoti Borah, Antonios Mamalakis, Clement Guilloteau, et al.

Published: 2026-06-03
Subjects: Atmospheric Sciences, Climate

High Mountain Asia (HMA), spanning from the Hindu Kush to the Tibetan Plateau, encompasses tropical and subtropical regions highly susceptible to extreme precipitation events and associated hazards. El Niño–Southern Oscillation (ENSO) is one of the dominant external climate modes that influence subseasonal to seasonal precipitation over HMA through various dynamical pathways. We hypothesize three [...]

MPsizeBase: a database for particle size distributed and size aligned environmental microplastic data

Jeroen Sonke, Theo Segur, Ian Hough, et al.

Published: 2025-10-24
Subjects: Physical Sciences and Mathematics

Understanding the sources, dispersion, and health impacts of microplastic (MP) pollution requires quantitative observations in terms of MP number and/or mass concentrations. Measurements of environmental MP fragments or fibers typically target variable size spans within the formal 1 to 5000 µm range, due to different sampling and detection techniques, and are therefore not directly comparable. In [...]

Local refinement of a national-scale groundwater model

Julian Koch, Jun Liu, Lars Troldborg

Published: 2026-05-21
Subjects: Planetary Hydrology, Water Resource Management

This method article presents a local refinement framework for a national-scale, machine learning-based groundwater model that predicts typical summer and winter water table depth at 10 × 10 m resolution at national scale of Denmark. While the existing baseline model provides high-resolution national coverage and is suitable for screening purposes, its accuracy remains insufficient for local [...]

Analysis of sub-regional climates in the European Alps based on the EEAR-Clim observational dataset

Giulio Bongiovanni, Alice Crespi, Michael Matiu, et al.

Published: 2026-05-22
Subjects: Atmospheric Sciences, Climate, Meteorology

The European Alps exhibit a complex geomorphology and undergo the influences of different climate regimes, resulting in high spatial variability of climatic variables and their changes. To provide a detailed analysis of climate regions and climatic changes occurring at a sub-regional scale during the 1961-2020 period, we exploited an updated regionalization of the European Alps that benefits from [...]

How Do Discrete Global Grid Systems Actually Perform? A Systematic Benchmark Across Geometry, Computation and Relational Joins

Levente Juhász

Published: 2026-04-30
Subjects: Computer and Systems Architecture, Databases and Information Systems, Earth Sciences, Geographic Information Sciences, Software Engineering, Spatial Science

As geospatial datasets exceed the billion-row threshold, Discrete Global Grid Systems (DGGS) promise to replace expensive vector spatial joins with fast relational hash-joins on discrete cell identifiers. However, the real-world performance of different grid implementations and the upfront cost of converting vector geometries into grid indexes remains largely unquantified. This paper introduces [...]

The Baltic TRANSCOAST approach – investigating shallow coasts as terrestrial-marine interface of water and matter fluxes

Manon Janssen, Michael E Böttcher, Martin Brede, et al.

Published: 2019-07-16
Subjects: Biogeochemistry, Biology, Earth Sciences, Environmental Monitoring, Environmental Sciences, Hydrology, Life Sciences, Marine Biology, Oceanography and Atmospheric Sciences and Meteorology, Other Oceanography and Atmospheric Sciences and Meteorology, Other Plant Sciences, Physical Sciences and Mathematics, Plant Sciences, Soil Science

In Baltic TRANSCOAST we study the physical, biogeochemical, and biological processes at the land-ocean interface. The coastal zone is heavily impacted by various human activities as well as by geomorphological and climatic processes – on both the land and the sea side. Land-sea interactions at low lying coastal areas that are often dominated by peatlands, and are a common feature along the Baltic [...]

Global forest typology at 10-meter resolution for forest and land-use monitoring

Maxim Neumann, Anton Raichuk, Peter Potapov, et al.

Published: 2026-05-22
Subjects: Forest Management, Forest Sciences, Life Sciences, Other Forestry and Forest Sciences, Terrestrial and Aquatic Ecology

Distinguishing forest types---primary, naturally regenerating, planted, and plantation forests---from agricultural tree crops and other land uses is essential for carbon accounting, biodiversity assessment, conservation planning, and supply-chain regulation. However, no existing global dataset resolves this typology at high spatial resolution. We present the Forest Typology (ForTy) v1 dataset, a [...]

Stress testing insurance market stability under climate risk

Simona Meiler, Steven I Jackson, Kerry Emanuel, et al.

Published: 2026-04-01
Subjects: Environmental Engineering, Other Earth Sciences, Other Environmental Sciences, Risk Analysis

Climate change, urban development, and evolving insurance markets threaten the stability of disaster risk financing. Homeowners insurance is embedded in a layered network of reinsurers, capital markets, and public backstops that can be overwhelmed by extreme events. We develop a probabilistic risk propagation model to stress test insurance systems and parameterize it for tropical cyclone wind and [...]

Green home-based dialysis and sustainability: A Scoping Review

Andreas Vilhelmsson, Ida Knutsson

Published: 2026-08-12
Subjects: Public Health, Rehabilitation and Therapy

Background Climate change is among the foremost threats to global health, and the healthcare sector is itself a substantial source of greenhouse gas (GHG) emissions. Dialysis is one of the most resource- and carbon-intensive treatments in medicine, and homebased modalities have been proposed as a more sustainable alternative to in-centre care. Despite growing interest, the empirical evidence on [...]

A Blueprint for Integrated Climate Intelligence

Carlos Rodriguez-Pardo, Guido Ascenso, Cindy Giselle Azuero Pedraza, et al.

Published: 2026-05-13
Subjects: Artificial Intelligence and Robotics, Environmental Indicators and Impact Assessment, Environmental Monitoring, Planetary Sciences, Sustainability

Climate information is advancing faster than the decision systems designed to use it. Emergency response operates on timescales of hours, whereas societal adaptation unfolds over decades. Yet climate science, impact assessment and policy remain poorly integrated, limiting coherent action across timescales. We argue that artificial intelligence should be developed not only as a domain-specific [...]

Global Flood Mapper v2: Open-Access Flood Mapping and Exposure Assessment with Sentinel-1 SAR

Aarnav Agrawal, Pratyush Tripathy

Published: 2026-07-31
Subjects: Environmental Monitoring, Hydrology

We present Global Flood Mapper v2 (GFM v2), which adds flood depth estimation, on-demand GeoTIFF export, cloud-based impact assessment against high-resolution land cover and five global population datasets to quantify exposure uncertainty, and parameter-encoded URLs for reproducibility and sharing. Its predecessor, GFM v1, was already an open-access, globally operational web portal for rapid, [...]

Prioritizing Agricultural Flood Mitigation: A GeoAI-Driven Assessment of Susceptibility, Crop Exposure, and Socioeconomic Vulnerability

Mirza Md Tasnim Mukarram, Mirza Waleed, Quazi Umme Rukiya, et al.

Published: 2026-05-30
Subjects: Agriculture, Civil and Environmental Engineering, Computational Engineering, Engineering, Life Sciences

Flooding is a recurrent hazard across the U.S. Midwest, yet frameworks integrating flood hazard, agricultural exposure, and socioeconomic vulnerability at the county scale remain limited. This study presents a GeoAI-driven agricultural flood risk assessment for all 99 counties in Iowa, combining machine learning-derived flood susceptibility with crop-specific economic exposure and socioeconomic [...]

Joint falsification of gravity, magnetotelluric and surface-wave data resolves a fertile-corridor discriminator: the Al Amar suture, Arabian Shield

Jef Caers

Published: 2026-07-16
Subjects: Earth Sciences, Physical Sciences and Mathematics

A prospective mineral province is defined by deep structure that is known only from sparse geophysical data, and any one dataset permits several geological interpretations. This paper describes a prototype that converts a geologist's written tectonic history into a falsifiable prior on deep petrophysical structure and asks which measurements separate geologically distinct histories. A language [...]

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