Preprints
There are 5476 Preprints listed.
Additive Model Perturbations Scaled by Physical Tendencies for Use in Ensemble Prediction
Published: 2022-11-23
Subjects: Earth Sciences, Other Earth Sciences, Physical Sciences and Mathematics
Imperfections and uncertainties in forecast models are often represented in ensemble prediction systems by stochastic perturbations of model equations. In this article, we present a new technique to generate model perturbations. The technique is termed Additive Model-uncertainty perturbations scaled by Physical Tendencies (AMPT). The generated perturbations are independent between different model [...]
The small-amplitude dynamics of spontaneous tropical cyclogenesis
Published: 2022-11-23
Subjects: Physical Sciences and Mathematics
Cloud-permitting simulations have shown that tropical cyclones can form spontaneously in a quiescent environment with uniform sea surface temperature. While the moisture-radiation instability is known as the main mechanism for early-stage growth, two key questions remain unresolved: First, how does the noisy cumulus cloud field organize into a mesoscale perturbation? Second, what determines the [...]
Call for collaboration: Benchmark datasets for landslide susceptibility zonation
Published: 2022-11-23
Subjects: Physical Sciences and Mathematics
Landslide susceptibility, the spatial likelihood of occurrence of landslides in a specific geographical area, is the subject of countless scientific publications. Different authors use heterogeneous data, and apply many different methods, mostly falling under the definition of statistical and/or machine learning approaches, with the common feature of considering many input variables and a single [...]
A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture
Published: 2022-11-21
Subjects: Engineering
A trustworthy assessment of soil moisture content plays a significant role in irrigation planning and in controlling various natural disasters such as floods, landslides, and droughts. Various Machine Learning Models (MLMs) have been used to increase the accuracy of soil moisture content prediction. The present investigation aims to apply MLMs with novel structures for the estimation of daily [...]
Solar irradiance distribution under vertically mounted agrivoltaic systems – Model development, validation, and applications for microclimate assessment
Published: 2022-11-21
Subjects: Agriculture, Power and Energy
ccurate assessment of the Photosynthetically Active Radiation (PAR) and Global Horizontal Irradiance (GHI) at the crop level is paramount for accurately assessing the energy balances and the crop yield under agrivoltaic systems. The shadings produced by the photovoltaic modules and structures of the agrivoltaic systems cause a non-homogeneous distribution of PAR and GHI at the crop level. It is [...]
A systematic review of the state of knowledge on environment and the Belt and Road Initiative
Published: 2022-11-21
Subjects: Social and Behavioral Sciences
The Belt and Road Initiative (BRI) is a China-led global initiative that was officially launched in 2013. The wealth of research available on the BRI has been subject to few comprehensive reviews to date, reviews including both English and Chinese language research are even rarer still. In addition, many of the projects associated with the BRI involve infrastructure development, power generation [...]
Geosphere and Biosphere coevolution: the role of trace metals availability in the evolution of biogeochemistry
Published: 2022-11-21
Subjects: Biochemistry, Biophysics, and Structural Biology, Biogeochemistry, Earth Sciences, Ecology and Evolutionary Biology, Microbiology, Planetary Sciences
Earth’s geosphere and biosphere have coevolved over time, influencing each other’s stability and keeping our planet habitable for most of its 4.543 billion years of history. Biogeochemical cycles play a key role in controlling this interaction, connecting long-term geological cycles and the much faster evolution of the Earth’s outer biologically dominated envelopes. A small set of [...]
The effect of uncertainties in creep activation energies on modeling ice flow and deformation
Published: 2022-11-21
Subjects: Earth Sciences, Geophysics and Seismology, Glaciology, Physical Sciences and Mathematics
Ice deformation is commonly represented by a power-law constitutive relation, Glen's Flow Law, where deformation (strain) rate equals stress raised to the power n and multiplied by a flow-rate parameter A. Glen's Law represents bulk ice rheology as a single power-law even though multiple mechanisms, each with their own power-law relation and parametric values, act together during viscous [...]
A Sentinel-2 based multi-temporal monitoring framework for wind and bark beetle detection and damage mapping
Published: 2022-11-18
Subjects: Life Sciences
The occurrence of extreme windstorms and increasing heat and drought events induced by climate change leads to coniferous forests showing severe damage and stress and making trees more vulnerable to spruce bark beetle infestations. The combination of abiotic and biotic disturbances in forests can cause drastic environmental and economic losses. The first step for containing such damage is the [...]
Lithospheric structure and melting processes in southeast Australia: new constraints from joint probabilistic inversions of 3D magnetotelluric and seismic data
Published: 2022-11-18
Subjects: Geochemistry, Geophysics and Seismology, Volcanology
The thermochemical structure of the lithosphere exerts control on melting mechanisms in the mantle as well as the location of volcanism and ore deposits. Imaging the complex interactions between the lithosphere and asthenospheric mantle requires the joint inversion of multiple data sets and their uncertainties. In particular, the combination of seismic velocity and electrical conductivity with [...]
A Systematic Review of Deep Learning Applications in Interpolation and Extrapolation of Precipitation Data
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 [...]
Positive Matrix Factorization of Large Aerosol Mass Spectrometry Datasets Using Error-Weighted Randomized Hierarchical Alternating Least Squares
Published: 2022-11-17
Subjects: Physical Sciences and Mathematics
Weighted positive matrix factorization (PMF) has been used by scientists to find small sets of underlying factors in environmental data. However, as the size of the data has grown, increasing computational costs have made it impractical to use traditional methods for this factorization. In this paper, we present a new weighting method to dramatically decrease computational costs for these [...]
Community recommendations for geochemical data, services and analytical capabilities in the 21st century
Published: 2022-11-17
Subjects: Biogeochemistry, Cosmochemistry, Earth Sciences, Geochemistry
The majority of geochemical and cosmochemical research is based upon observations and, in particular, upon the acquisition, processing and interpretation of analytical data from physical samples. The exponential increase in volumes and rates of data acquisition over the last century, combined with advances in instruments, analytical methods and an increasing variety of data types analysed, has [...]
Contemporary and historical detection of small lakes using cross-sensor super resolution Landsat imagery
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 [...]
Disentangling the effects of climate change and reoligotrophication on primary production in a large lake
Published: 2022-11-17
Subjects: Earth Sciences, Ecology and Evolutionary Biology, Environmental Sciences
Climate change and reduction in nutrient loads have significant effects on primary production and phytoplankton growth dynamics. Since in the last few decades in many regions, nutrients in lakes were reduced simultaneously as the climate changed. Yet, it remains unclear which of the two has impacted primary production the most. In this study, we couple the General Ocean Turbulence Model with the [...]