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Preprints

Filtering by Subject: Meteorology

Standardized Benchmark of Historical Compound Wind and Solar Energy Droughts Across the Continental United States

Cameron Bracken, Nathalie Voisin, Casey Burleyson, et al.

Published: 2023-06-23
Subjects: Meteorology, Oil, Gas, and Energy, Statistical Methodology, Sustainability

As we move towards a decarbonized grid, reliance on weather-dependent energy increases as does exposure to prolonged natural resource shortages known as energy droughts. Compound energy droughts occur when two or more predominant renewable energy sources simultaneously are in drought conditions. In this study we present a methodology and dataset for examining compound wind and solar energy [...]

Projected Changes in Hot, Dry and Compound Hot-Dry Extremes over Global Land Regions

Paolo De Luca, Markus G. Donat

Published: 2023-06-10
Subjects: Atmospheric Sciences, Climate, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

The impacts of hot, dry and compound hot-dry extremes are significant for societies, economies and ecosystems worldwide. Such events therefore need to be assessed in the light of anthropogenic climate change so that suitable adaptation measures can be implemented by governments and stakeholders. Here we show a comprehensive analysis of hot, dry and compound hot-dry extremes over global land [...]

Assessment of simulations of a polar low with the Canadian Regional Climate Model

Marta Moreno Ibáñez, René Laprise, Philippe Gachon

Published: 2023-04-14
Subjects: Atmospheric Sciences, Meteorology

Polar lows (PLs), which are intense maritime polar mesoscale cyclones, are associated with severe weather conditions. Due to their small size and rapid development, PL forecasting remains a challenge. Convection-permitting models are adequate to forecast PLs since, compared to coarser models, they provide a better representation of convection as well as surface and near-surface processes. A PL [...]

Dynamic rainfall thresholds for landslide early warning in Progo Catchment, Java, Indonesia

Ratna Satyaningsih, Victor Jetten, Janneke Ettema, et al.

Published: 2023-01-20
Subjects: Applied Statistics, Earth Sciences, Geomorphology, Hydrology, Meteorology

This study aims to derive and evaluate new empirical rainfall thresholds as the basis for landslide early warning in Progo Catchment, Indonesia, using high-resolution rainfall datasets. Although attempts have been made to determine such thresholds for regions in Indonesia, they used coarse-resolution data and fixed rainfall duration that might not reflect the characteristics of rainfall events [...]

Weakening of the Indian Ocean Dipole in the mid-Holocene due to the mean oceanic climatology change

Shanshan Liu, Chaoxia Yuan, Jing-jia Luo, et al.

Published: 2023-01-10
Subjects: Atmospheric Sciences, Climate, Meteorology, Oceanography

The Indian Ocean Dipole (IOD) is one of the leading modes of interannual climate variability in the tropical Indian Ocean (IO). Paleoclimate provides real climate scenarios to examine IOD behaviors and the linkage to basic states. Based on 18 models from the Paleoclimate Modelling Intercomparison Project phase 3 and 4 (PMIP 3/4), the IOD change from the preindustrial period to mid-Holocene is [...]

The Dry Sky: Futures for Humanity’s Modification of the Atmospheric Water Cycle

Patrick W Keys, Lan Wang-Erlandsson, Michele-Lee Moore, et al.

Published: 2022-12-22
Subjects: Atmospheric Sciences, Climate, Fresh Water Studies, Hydrology, Meteorology, Natural Resource Economics, Natural Resources Management and Policy, Nature and Society Relations, Sustainability, Water Resource Management

Humanity is modifying the atmospheric water cycle, via land use, climate change, air pollution, and weather modification. Given the implications of this, we present a theoretical framing of atmospheric water as an economic good. Historically, atmospheric water was tacitly considered a ‘public good’ since it was neither actively consumed (rival) nor controlled (exclusive). However, given [...]

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 [...]

Characteristics of Dust Storms Generated by Trapped Waves in the Lee of Mountains

Amato Tomas Evan, William Porter, Rachel Clemsha, et al.

Published: 2022-09-29
Subjects: Atmospheric Sciences, Climate, Meteorology, Oceanography and Atmospheric Sciences and Meteorology

Dust storms are ubiquitous in the Earth's atmosphere, yet the physical processes underlying dust emission and subsequent transport are not always understood, in-part due to the wide variety of meteorological processes that can generate high winds and dust. Here we use in-situ measurements and numerical modeling to demonstrate that vertically trapped atmospheric waves generated by air flowing over [...]

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

ULISSES ALENCAR 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. The use of these models for Seasonally Dry Tropical Forests (SDTF) has been [...]

Meteorological Drivers of Resource Adequacy Failures in Current and High Renewable Western U.S. Power Systems

Srihari Sundar, Michael Craig, Ashley Payne, et al.

Published: 2022-08-31
Subjects: Climate, Meteorology, Power and Energy, Risk Analysis

Power system resource adequacy (RA), or its ability to continually balance energy supply and demand, underpins human and economic health. How meteorology affects RA and RA failures, particularly with increasing penetrations of renewables, is poorly understood. We characterize large-scale circulation patterns that drive RA failures in the Western U.S. at increasing wind and solar penetrations by [...]

A Technical Overview of the North Carolina ECONet

Sheila M. Saia, Sean P. Heuser, Myleigh D. Neill, et al.

Published: 2022-07-20
Subjects: Agricultural Science, Agriculture, Atmospheric Sciences, Climate, Earth Sciences, Environmental Education, Environmental Monitoring, Environmental Public Health, Environmental Sciences, Forest Management, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Plant Sciences

Regional weather networks–also referred to as mesonets–are imperative for filling in the spatial and temporal data gaps between nationally supported weather stations. The North Carolina Environment and Climate Observing Network (ECONet) fills this regional role; it is a mesoscale network of 44 (as of 2023) automated stations collecting 12 environmental variables every minute across North [...]

Vertically Resolved Convective/Stratiform Echo Type Identification and Convectivity Retrieval for Vertically Pointing Radars

Ulrike Romatschke, Michael Dixon

Published: 2022-01-27
Subjects: Atmospheric Sciences, Meteorology, Oceanography and Atmospheric Sciences and Meteorology

Using data from the airborne HIAPER Cloud Radar (HCR), a partitioning algorithm (ECCO-V) that provides vertically resolved convectivity and convective vs stratiform radar echo classification is developed for vertically pointing radars. The algorithm is based on the calculation of reflectivity and radial velocity texture fields that measure the horizontal homogeneity of cloud and precipitation [...]

Evidences of horizontal urban heat advection in London using 6 years of data from a citizen weather station network

Oscar Brousse, Charles Henry Simpson, Nancy Walker, et al.

Published: 2021-12-05
Subjects: Climate, Environmental Monitoring, Environmental Sciences, Meteorology, Physical and Environmental Geography

Recent advances in citizen weather station (CWS) networks, with data accessible via crowd-sourcing, provide relevant climatic information to urban scientists and decision makers. In particular, CWS can provide long-term measurements of urban heat and valuable information on spatio-temporal heterogeneity related to horizontal heat advection. In this study, we make the first compilation of a [...]

Massive-Parallel Trajectory Calculations version 2.2 (MPTRAC-2.2): Lagrangian transport simulations on Graphics Processing Units (GPUs)

Lars Hoffmann, Paul F. Baumeister, Zhongyin Cai, et al.

Published: 2021-11-10
Subjects: Atmospheric Sciences, Computer Sciences, Meteorology, Numerical Analysis and Scientific Computing, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Lagrangian models are fundamental tools to study atmospheric transport processes and for practical applications such as dispersion modeling for anthropogenic and natural emission sources. However, conducting large-scale Lagrangian transport simulations with millions of air parcels or more can become numerically rather costly. In this study, we assessed the potential of exploiting graphics [...]

An open workflow for the study of unseen weather extremes

Timo Kelder, Tim Marjoribanks, Louise J. Slater, et al.

Published: 2021-09-10
Subjects: Climate, Hydrology, Meteorology, Numerical Analysis and Scientific Computing

Ensemble members from weather and climate predictions can be used to generate large samples of simulated weather events, allowing the estimation of extreme (hitherto unseen) events. Here, we provide a protocol and open workflow for applying the ‘UNSEEN’ method for hydro-climatic extremes globally, based on Copernicus Climate Change Services (C3S) seasonal predictions but also considering other [...]

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