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It has been proven that assimilating winds from the Aeolus global Doppler Wind Lidar (DWL) would enhance the predictive skill of weather forecast models. In this study, we use a series of observing system experiments to examine how currently assimilated "operational" wind products and Aeolus winds impact environment and climate change Canada's global forecast system over the data‐sparse Arctic region. Aeolus winds improve the tropospheric wind and temperature forecasts by about 0.7%–0.9% of error reduction (a 15%–20% effect compared to the impact of operational wind products) while having little impact on specific humidity. In particular, Aeolus winds have an impact on forecasts of strong wind days on the wind and temperature fields that is double the impact for weaker wind days. On the other hand, the operational wind products do not show as large a discrepancy in impact between forecasts of disturbed and normal days. These findings suggest significant potential for global DWL observations to enhance severe weather prediction in polar regions. Plain Language Summary: State of the art observation systems are necessary to produce accurate weather forecasts. In particular, wind observations are essential in regions where the atmospheric winds cannot be estimated from quantities such as temperature and pressure through geostrophic and thermal wind balance. Aeolus is the first satellite that provides global wind profile measurements and has a proven positive impact on forecasts. In this study, we investigate the impact of a large set of wind observations, including Aeolus winds, on Arctic weather forecasts using Canada's main forecast. We can calculate how these wind observations improve the forecast throughout the atmosphere and find that Aeolus winds further improve the forecast in the Arctic's lower atmosphere. Furthermore, our findings highlight the significance of wind observations in ensuring precise forecasts of intense wind days, which show double the improvement over the forecast of less intense wind days. This suggests that future DWL programs following from Aeolus have the potential to significantly benefit forecast skill in data‐sparse regions such as the Arctic and Antarctic, which are of growing societal, political, and economic interest. Key Points: Operationally assimilated wind products are key to skillful numerical weather prediction in the ArcticAeolus winds improve Arctic wind and temperature fields, contributing 14%–18% of the total gain from all operational wind data setsImprovements from Aeolus are most pronounced on strong wind (high Arctic kinetic energy) days [ABSTRACT FROM AUTHOR]

Abstract The co-occurrence of multiple hazards can either exacerbate or mitigate risks. The interrelationships between multiple hazards greatly depend on the spatiotemporal scale and can be difficult to detect from large to local scales. In this paper, we identified coastal regions worldwide where the leading tropical (El Niño-Southern Oscillation, ENSO) and polar (Arctic Oscillation, AO; Southern Annular Mode, SAM) modes of climate variability simultaneously modify the seasonal conditions of multiple hazards, including the near-surface wind speed and swell and wind-sea wave powers. We classified the results at the national and municipal levels, with a focus on multiple hazards simultaneously occurring in space and time. The results revealed that the ENSO modulates multiple hazards, affecting approximately 40% of coastal countries, while the polar annular modes affect approximately 30% of coastal countries. The ENSO induced a greater diversity of multiple hazards, with Asian countries (e.g., Indonesia experienced increases of + 2% in wind and + 7% in swell) and countries in the Americas (e.g., Peru exhibited increases of + 1.5% in wind and + 6% in wind-sea) the most notably affected. The SAM imposed a greater influence on swells in the eastern countries of ocean basins (+ 2.5% in Chile) than in other countries, while the influence of the AO was greater in Norway and the UK (+ 12% for wind-sea and 8% for swell). Low-lying islands exhibited notable variations in pairwise hazards between phases and seasons. Our results could facilitate the interpretation of multihazard interactions and pave the way for a wide range of potential implementations of different coastal industries.

New methods are need to coordinate the conflicting spatial demands through urban design research and strategies from the perspective of multi-scale urban climate analysis. To integrate wind–thermal environment with urban design, we propose three scale levels, namely the district-superblock, superblock-block, and block-building levels, and divide the urban design elements into voids and solids. Thereafter, we establish a multiscale methodological framework in which the urban design contents are clarified by each scale, and the information transmitted between scales is obtained to ensure consistent value propositions and strategic approaches. The microclimate shaping of the urban open space is transformed into guiding strategies and quantitative indicators of the spatial form of the solid space. Information is transmitted between the scales through the wind–thermal indicators of windward side and the morphological indicators of solid space. Subsequently, the methodology was applied to the project in the core area of Suzhou Science and Technology City, and the findings preliminarily verify the effectiveness and feasibility of the methodology. This research influences urban climate studies and urban design practice in three ways: 1) improving understanding of the correlation between scales; 2) facilitating interaction between the two domains; and 3) providing tools for urban design practices. [ABSTRACT FROM AUTHOR]

The co-occurrence of multiple hazards can either exacerbate or mitigate risks. The interrelationships between multiple hazards greatly depend on the spatiotemporal scale and can be difficult to detect from large to local scales. In this paper, we identified coastal regions worldwide where the leading tropical (El Niño-Southern Oscillation, ENSO) and polar (Arctic Oscillation, AO; Southern Annular Mode, SAM) modes of climate variability simultaneously modify the seasonal conditions of multiple hazards, including the near-surface wind speed and swell and wind-sea wave powers. We classified the results at the national and municipal levels, with a focus on multiple hazards simultaneously occurring in space and time. The results revealed that the ENSO modulates multiple hazards, affecting approximately 40% of coastal countries, while the polar annular modes affect approximately 30% of coastal countries. The ENSO induced a greater diversity of multiple hazards, with Asian countries (e.g., Indonesia experienced increases of + 2% in wind and + 7% in swell) and countries in the Americas (e.g., Peru exhibited increases of + 1.5% in wind and + 6% in wind-sea) the most notably affected. The SAM imposed a greater influence on swells in the eastern countries of ocean basins (+ 2.5% in Chile) than in other countries, while the influence of the AO was greater in Norway and the UK (+ 12% for wind-sea and 8% for swell). Low-lying islands exhibited notable variations in pairwise hazards between phases and seasons. Our results could facilitate the interpretation of multihazard interactions and pave the way for a wide range of potential implementations of different coastal industries. [ABSTRACT FROM AUTHOR]

Idealized models are analyzed to quantify how large‐scale river plumes interact with coastal corners with and without wind‐driven currents. The configuration has a corner formed by two perpendicular shelves (with constant slope) that are joined with a coastal radius of curvature (rc). The buoyant plume originates from an upstream point source. The rc and wind forcing are varied among runs. Steep‐ and gentle‐slope runs are compared for some situations. Without winds, plumes separate from corners with rc smaller than two inertial radii (ri); this threshold is twice the rc < ri theoretical separation criterion. After separation, no‐wind plumes form an anticyclonic bulge, and reattach farther downstream. Offshore excursion increases as rc decreases. A downwelling‐favorable wind component along the upstream coast (τsx) favors separation by increasing total plume speed. An upwelling‐favorable wind component along the downstream coast (τsy) also increases offshore excursion. Winds blowing obliquely offshore with both these wind components advect the plume farther offshore. Wind‐driven currents that steer plumes in this situation include a downshelf jet originating on the upstream shelf and continuing around the coastal corner and beyond, offshore and upshelf surface transport downstream of the corner, and surface Ekman transport on the outer shelf. Multiple linear regressions quantify plume position sensitivity to rc, τsx, and τsy; results are discussed in a dynamical context. Globally, many river plumes interact with coastal corners under various wind conditions. Plain Language Summary: Freshwater from rivers can form long plumes that flow along the coast far from river mouths. When these plumes reach a sharp coastal corner, like the tip of a peninsula, the flow can detach from the coast and carry freshwater far offshore. This study applies a computer model to study river plume behavior at perpendicular coastal corners with and without wind influences. Without winds, plumes separate from the most tightly turning corners, form a bulge, and reattach to the coast farther downstream. Flows forced by winds are important in steering river plumes. Plume waters move farthest offshore when winds blow obliquely away from the coastal corner. Globally, many river plumes interact with coastal corners and wind influence can enhance offshore transport of freshwater in these areas. Key Points: Without winds, plumes separate from corners turning more tightly than two inertial radii, form a bulge, and reattach farther downstreamOffshore plume excursion is maximized when winds blow obliquely away from the coastal cornerWind‐driven flow favoring offshore plume transport includes a downshelf jet and offshore and upshelf transport downstream of the corner [ABSTRACT FROM AUTHOR]

We investigate how the physical forcing factors of river discharge and winds affect sediment delivery to, and retention within, mangrove-lined coastal regions. We use an idealized numerical model, broadly similar to the Firth of Thames deltaic system in New Zealand, to isolate and explore the underlying processes without some of the complexities of the real system. Total sediment transport and the relative contributions of riverine and bed-sourced sediment into the forest are assessed using a transect along the edge of the forest region. The model results demonstrate that both river discharge and winds alter the distribution of sediment transport, and that the spatial patterns relate to different regions of the river plume. At the river mouth (the near-field region), irrespective of the discharge employed, sediment fluxes are directed into the mangrove forest, indicating an accretionary environment consistent with satellite observations. Here, contributions from the riverine and bed-sourced sediments are similar. For small to medium discharge scenarios (up to ∼ 280 m 3 s - 1 , flow speeds ∼ 0.6 m s - 1 ), mass loads increase with river discharge. However, in the case of large discharge events, the high momentum in the near-field region allows the river plume to effectively transport sediment through the full width of forested region and out of the forest front. In the mid- and far-field regions of the plume, tidal influences also play a stronger role. Suspended sediment is primarily composed of bed-sourced material and transported out of the forest. Weaker winds are found to affect the far- and mid-field regions of the river plume. Stronger winds are able to reshape the entire plume structure, also including the near-field, such that sediment deposition is enhanced when winds are directed towards the forest. [ABSTRACT FROM AUTHOR]

The article focuses on the author's exploration of green training through the practice of Kunqu dance in natural settings. Topics include the philosophical connections between dance and ecological awareness, the challenges and adaptations faced when transitioning from indoor to outdoor practice, and the joy of synchronizing movements with the surrounding natural elements like cherry blossoms, birds, and wind.

While we have growing numbers of massive star observations, it remains unclear how efficient the key physical processes such as mass loss, convection and rotation are, or indeed how they impact each other. We reconcile this with detailed stellar evolution models, yet these models have their own drawbacks with necessary assumptions for 3-dimensional processes like rotation which need to be adapted into 1-dimensional models. The implementation of empirical mass-loss prescriptions in stellar evolution codes can lead to the extrapolation of base rates to unconstrained evolutionary stages leading to a range of uncertain fates. In short, there remain many free parameters and physical processes which need to be calibrated in order to align our theory better with upcoming observations. We have tested various processes such as mass loss and internal mixing, including rotational mixing and convective overshooting, against multiple observational constraints such as using eclipsing binaries, the Humphreys-Davidson limit, and the final masses of Wolf-Rayet stars, across a range of metallicities. In fact, we developed a method of disentangling the effects of mixing and mass loss in the 'Mass-Luminosity Plane' allowing direct calibration of these processes. In all cases, it is important to note that a combined appreciation for both stellar winds and internal mixing are important to reproduce observations. [ABSTRACT FROM AUTHOR]

The higher‐order turbulence scheme, Cloud Layers Unified by Binormals (CLUBB), is known for effectively simulating the transition from cumulus to stratocumulus clouds within leading atmospheric climate models. This study investigates an underexplored aspect of CLUBB: its capacity to simulate near‐surface winds and the Planetary Boundary Layer (PBL), with a particular focus on its coupling with surface momentum flux. Using the GFDL atmospheric climate model (AM4), we examine two distinct coupling strategies, distinguished by their handling of surface momentum flux during the CLUBB's stability‐driven substepping performed at each atmospheric time step. The static coupling maintains a constant surface momentum flux, while the dynamic coupling adjusts the surface momentum flux at each CLUBB substep based on the CLUBB‐computed zonal and meridional wind speed tendencies. Our 30‐year present‐day climate simulations (1980–2010) show that static coupling overestimates 10‐m wind speeds compared to both control AM4 simulations and reanalysis, particularly over the Southern Ocean (SO) and other midlatitude ocean regions. Conversely, dynamic coupling corrects the static coupling 10‐m winds biases in the midlatitude regions, resulting in CLUBB simulations achieving there an excellent agreement with AM4 simulations. Furthermore, analysis of PBL vertical profiles over the SO reveals that dynamic coupling reduces downward momentum transport, consistent with the found wind‐speed reductions. Instead, near the tropics, dynamic coupling results in minimal changes in near‐surface wind speeds and associated turbulent momentum transport structure. Notably, the wind turning angle serves as a valuable qualitative metric for assessing the impact of changes in surface momentum flux representation on global circulation patterns. Plain Language Summary: The Cloud Layers Unified by Binormals (CLUBB) scheme offers a promising way to model the complexities of cloud behavior, but its impact on winds and global circulation has been less explored. In our study, we investigate how different ways of representing the complex coupling between surface drag and the lowest kilometer of the Earth's atmosphere affect global wind speeds and circulation. We specifically examine two distinct approaches: a static approach, which feeds a constant surface drag to CLUBB, and a dynamic approach, which adjusts the surface drag based on the winds updates computed by CLUBB. Over a present‐day climate, we find that static coupling tends to produce excessively large wind speeds in certain regions, like the Southern Ocean and parts of the North Atlantic and North Pacific. Instead, dynamic coupling produces excellent near‐surface wind speeds in these regions, and also over the rest of the globe. Moreover, we discover that dynamic coupling reduces the downward turbulent transport of momentum, highlighting the enhancements in near‐surface wind speeds found with this approach are physically consistent. Lastly, we use the change in wind direction with height to qualitatively evaluate how the two coupling methods affect global circulation patterns. Key Points: Dynamic coupling between Cloud Layers Unified by Binormals (CLUBB) and surface momentum flux enhances global winds climate simulations bringing CLUBB in line with control atmospheric climate modelIn midlatitude regions, the dynamic coupling enhances the boundary‐layer momentum transport compared to the static couplingThe wind turning angle turns out a useful qualitative metric, linking changes in surface momentum flux to the changes in global circulation [ABSTRACT FROM AUTHOR]

This paper presents the first quantitative relationship between the cold point tropopause (CPT) and tropical easterly jet (TEJ) using radiosonde observations over Gadanki (13.45° N, 79.2° E) during the Indian summer monsoon season 2006–2014. CPT and TEJ peak altitudes (HCPTandHTEJ) show amalgams of two categories of variability on the day‐to‐day scale. In category1 HTEJ occurs close to HCPT and they show in‐phase variation. While in Category2 HTEJ occurs far apart from HCPT and they do not show any relationship. For Category1 HCPT and HTEJ are strongly correlated (0.70), as well as HCPT and TCPT (CPT temperature) are moderately anticorrelated (−0.55) significant at a 95% confidence level, indicating the dominance of adiabatic processes. Whereas in Category2 HCPT and TCPT are not significantly anti‐correlated. Thus, when TEJ and CPT are close to each other, it may serve as an indicator for the prevalence of the synoptic‐scale effect. [ABSTRACT FROM AUTHOR]

Copyright of Sigmae is the property of Universidade Federal de Alfenas (UNIFAL-MG) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Quality control (QC) is an essential procedure in scatterometer wind retrieval, which is used to distinguish good-quality data from poor-quality wind vector cells (WVCs) for the sake of wind applications. The current wind processor of the China-France Oceanography Satellite (CFOSAT) scatterometer (CSCAT) adopts a maximum likelihood estimator (MLE)-based QC method to filter WVCs affected by geophysical noise, such as rainfall and wind variability. As the first Ku-band rotating fan-beam scatterometer, CSCAT can acquire up to 16 observations over a single WVC, giving abundant information with diverse incidence/azimuth angles, as such its MLE statistical characteristics may be different from the previous scatterometers. In this study, several QC indicators, including MLE, its spatially averaged value (MLEm), and the singularity exponents (SE), are analyzed using the collocated Global Precipitation Mission rainfall data as well as buoy data, to compare their sensitivity to rainfall and wind quality. The results show that wind error characteristics of CSCAT under different QC methods are similar to those of other Ku-band scatterometers, i.e., SE is more suitable than other parameters for the wind QC at outer-swath and nadir regions, while MLEm is the best QC indicator for the sweet region WVCs. Specifically, SE is much more favorable than others at high wind speeds. By combining different indicators, an improved QC method is developed for CSCAT. The validation with the collocated buoy data shows that it accepts more WVCs, and in turn, improves the quality control of CSCAT wind data. [ABSTRACT FROM AUTHOR]

The article analyzes the correlation between winds in the Strait of Gibraltar in summer, monsoons, and ENSO. During the positive phase of ENSO, El Niño, there is a higher frequency of westerly winds in the Strait of Gibraltar, while during the La Niña phase, easterly winds prevail. The Mediterranean climate in summer is influenced by the summer monsoon in India and is limited to certain continental regions. Additionally, the covariability between the summer monsoon in India and ENSO is documented, where during El Niño events, the monsoon is weaker, and during La Niña events, the monsoon is stronger. The relationship between the ENSO climate phenomenon and temperature anomalies in the upper and middle troposphere in northern Africa is also analyzed, observing that these relationships vary on a multi-decadal timescale. It is suggested that these variations may be related to the modulation of upper troposphere temperature in subtropical Africa and Asia. Furthermore, the hypothesis is raised that the intensity of the correlation may have multi-decadal variability in phase with the variability of the West African monsoon. Finally, it is highlighted that there is a weak upward movement on average in the Iberian Peninsula, which can generate significant storms in the eastern interior due to low surface pressures that allow the entry of Mediterranean moist air at low levels. [Extracted from the article]

This two‐part study presents a comprehensive analysis of (1) the vortex structure, (2) the inner core planetary boundary layer (PBL) wind profile, and (3) the overland surface winds of Typhoon Faxai(2019) during landfall observationally (Part I) and in high‐resolution Weather Research and Forecasting Model (WRF) simulations (Part II). Part II presents a framework for evaluating the wind field in the WRF simulations of Typhoon Faxai (2019) by comparing them with the observations presented in Part I. First, WRF simulations with two different surface roughness z0$$ {z}_0 $$ tables are presented. The simulation with the default z0$$ {z}_0 $$ table in WRF is shown to largely overestimate the surface wind speed. The overestimation is largely mitigated by using larger z0$$ {z}_0 $$ based on the climatology for urban and forest areas in Japan. Next, using the modified z0$$ {z}_0 $$ table, WRF simulations with three different PBL parametrizations, namely, Mellor–Yamada–Janjić, Yonsei University, and Mellor–Yamada–Nakanishi–Niino schemes are presented, and their impacts on the simulated vortex structure, inner core PBL wind profile, and overland surface winds are evaluated. In particular, the simulated surface winds are in good agreement with the observations outside the inner core of Typhoon Faxai. However, during the passage of the eyewall, the maximum surface winds are underestimated in the simulations. We show that the underestimation of the inertial stability, associated with the excessively large inner core of Typhoon Faxai in the simulations, led to the overestimation of the eyewall PBL jet height. This, in turn, caused the underestimation of the peak surface winds, as based on the empirical model of the wind reduction factor F2 km$$ {F}_{2\;\mathrm{km}} $$ proposed in Part I. [ABSTRACT FROM AUTHOR]

This study presents a systematic investigation of the characteristics and meteorological impacts of warm conveyor belts (WCBs). For this purpose, we compile a new WCB climatology (1980–2022) of trajectories calculated with the most recent reanalysis dataset ERA5 from the European Centre for Medium-Range Weather Forecasts (ECMWF). Based on this new climatology, two-dimensional masks are defined that represent the inflow, ascent, and outflow locations of WCBs. These masks are then used to objectively quantify the key characteristics (intensity, ascent rate, and ascent curvature) and meteorological impacts (precipitation and potential vorticity (PV) anomalies) of WCBs in order to (i) attribute them to different stages in the life cycle of the associated cyclones and to (ii) evaluate differences in the outflow of the cyclonic and anticyclonic branches. The approach was applied globally, but this study focuses on the North Atlantic, one of the regions where WCBs ascend most frequently. The method is first tested and illustrated through three case studies of well-documented cyclones, revealing both the similarities and the case-to-case variability in the evolution of the WCB characteristics and impacts. We then extend the analysis to about 5000 cyclones that occurred in winter between 1980–2022 in the North Atlantic. The case studies and the climatological analysis both show that WCBs are typically most intense (in terms of air mass transported, ascent rate, precipitation rate, and volume) during the intensification period of the associated cyclone. The northward displacement along the storm track and diabatic PV production lead to an increase in low-level PV in the region of WCB ascent during the cyclone life cycle. The negative PV anomaly at upper levels, associated with the WCB outflow, remains relatively constant. The investigation of the WCB branches reveals an increasing intensity of the cyclonic WCB branch with time, linked to the increasing strength of the cyclonic wind field around the cyclone. Due to a lower altitude, the outflow of the cyclonic WCB branch is associated with a weaker negative PV anomaly than the anticyclonic one, which ascends to higher altitudes. In summary, this study highlights the distinct evolution of WCB characteristics and impacts during the cyclone life cycle and the marked differences between the cyclonic and anticyclonic branches. [ABSTRACT FROM AUTHOR]

European navigation in the age of sail owes much to the scientific revolution of the seventeenth century and the development of instruments and advanced mathematical techniques. Important though these developments were, it is argued here that close observation of the environment: of the weather, ocean currents, clouds, birds, mammals, and a host of other factors played a far more important role in safe navigation from one part of the globe to another. [ABSTRACT FROM AUTHOR]

Accurate atmospheric 3D wind observations are one of the top priorities for the global scientific community. To address this requirement, and to support researchers' needs to acquire and analyze wind data from multiple sources, the System for Analysis of Wind Collocations (SAWC) was jointly developed by NOAA/NESDIS/STAR, UMD/ESSIC/CISESS, and UW-Madison/CIMSS. SAWC encompasses the following: a multi-year archive of global 3D winds observed by Aeolus, sondes, aircraft, stratospheric superpressure balloons, and satellite-derived atmospheric motion vectors, archived and uniformly formatted in netCDF for public consumption; identified pairings between select datasets collocated in space and time; and a downloadable software application developed for users to interactively collocate and statistically compare wind observations based on their research needs. The utility of SAWC is demonstrated by conducting a one-year (September 2019–August 2020) evaluation of Aeolus level-2B (L2B) winds (Baseline 11 L2B processor version). Observations from four archived conventional wind datasets are collocated with Aeolus. The recommended quality controls are applied. Wind comparisons are assessed using the SAWC collocation application. Comparison statistics are stratified by season, geographic region, and Aeolus observing mode. The results highlight the value of SAWC's capabilities, from product validation through intercomparison studies to the evaluation of data usage in applications and advances in the global Earth observing architecture. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Extreme weather events, such as those associated with winds and precipitation, result in billions of euros in damages annually. While changes in extreme precipitation due to global warming have already been detected at sub-continental scales, their complex characteristics make them a challenges to asses at more regional scales. Extreme winds present an even greater challenge as the varying dynamical response to global warming exhibits high levels of uncertainty. This situation is complicated by local scale interactions with orography, cities, land-sea contrasts, etc. The dataset presented here attempts to address these challenges and provide information that will allow robust assessment of extreme winds and precipitation (maximum five day precipitation). We achieve this by leveraging a large ensemble (52 members) of high resolution (12 km) EUROCORDEX simulations. The dataset will be of value, not only to the scientific community, but also practitioners in the public (e.g., municipal planners, government agencies) and private sectors (e.g., insurers and reinsurers).

The use of vertical axis wind turbines to electrify homes without electricity in the Peruvian region of Junín is essential to address the challenges of climate change and move towards a more sustainable and environmentally friendly future. The objective was set to compare three types of wind turbines, these are Darrieus H, Savonius, and Windside concerning to the wind speeds that occur in the Junín region. This is because the operation of these wind turbines in this region is not yet known. The following procedure was tracked: first, the design was made and then it was experimented in the wind tunnel laboratory of the Faculty of Electrical and Electronic Engineering of the National University of Central Peru. In the study, we took into account that there is indeterminacy in the variable wind speed among others, which is why we adapted the traditional variables to the use of neutrosophic numbers. Additionally, we carried out a comprehensive study that includes other variables for decision-making. To select the best complete option we asked a group of 3 experts for their evaluations according to several criteria and we used the VIKOR method for intervals adapted to neutrosophic numbers.

This two‐part study presents a detailed analysis of (a) the vortex structure, (b) the inner core planetary boundary layer (PBL) wind profile, and (c) the overland surface winds of Typhoon Faxai (2019) during landfall observationally (Part I) and in high‐resolution Weather Research and Forecasting model simulations (Part II). Part I presents a comprehensive observational analysis of (a), (b), and (c) of Typhoon Faxai (2019) based on radar dual‐Doppler analysis and spatially dense surface wind observations over the Kanto region of Japan. An empirical model for the wind reduction factor F2 km$$ {F}_{2\;\mathrm{km}} $$ is proposed and validated with surface observations and radar velocity–azimuth display analyses at Narita and Haneda airports, both of which were affected by the passage of Faxai's inner core. Two distinct PBL jets associated with the inner rain band and the eyewall were observed over Narita Airport, which was located to the right of Faxai's track. Based on the empirical model of F2 km$$ {F}_{2\;\mathrm{km}} $$, it is found that the maximum surface wind speed observed at Narita Airport was caused by the peak of F2 km$$ {F}_{2\;\mathrm{km}} $$ due to a strong PBL jet associated with the eyewall located as close as ∼$$ \sim $$0.3 km from the ground. In addition, the wind swath analysis shows that a large area far inland on the right side of Faxai's track experienced strong surface 10‐min winds due to the combination of the passage of the eyewall PBL jet and the small surface roughness length around agricultural land such as paddy fields and farm fields. [ABSTRACT FROM AUTHOR]

The wind is the topic of a desirable pathic aesthetics and neophenomenology of air. More specifically, it is a good example of an atmospheric ephemeral quasi-thing, because, as religions have always recognized, it blows where it wishes. It involves us on the affective and felt-bodily level as an atmospheric feeling poured out into pre-dimensional space: that is, as a very concrete experience, significantly both climatic and affective, physical and felt-bodily. Unlike full-fledged things, the wind is not edged, discrete, cohesive, or solid; it does not possess immanent and regular tendencies; it can appear in a partial form, without doing so through fragments and sides; it is (felt as) more immediate and intrusive than things, generating inhibiting or attracting motor suggestions; it dies down with the same inexplicable immediacy with which it rises; it does not have a threefold causality (cause-action-effect) but a twofold one (cause/action-effect). Given these quasi-thingly wind characteristics, the paper sketches a review of the main types of felt-bodily resonance, within a range whose two extremes are narrowness and vastness, triggered by windy atmospheres (for example sudden gust of wind, breeze, shallow wind, stormy wind and calm). [ABSTRACT FROM AUTHOR]

The article focuses on the meteorological events of July 6, 2023, in the Bajo Aragón region of Teruel, Spain, detailing the synoptic situation conducive to convective phenomena. It describes the development of supercellular convective structures, emphasizing their intensity and potential to cause adverse weather conditions such as heavy rainfall, strong winds, and hailstorms. It highlights the significant impact of synoptic conditions on convective development and resultant weather hazards.

The island mass effect (IME), an increase in phytoplankton biomass and enhanced environmental biological activity, around islands has been described for many places, but not formally for the Galapagos Islands. The IME is produced when currents collide with islands and seamounts, causing upwelling of nutrient-rich waters, which in turn, produce an increase in primary productivity. Satellite data and information from the XXV-2022 Oceanographic Cruise were used to analyze IME and its effects on primary productivity west of Isabela Island. The results show a significant increase in Chlorophyll-a and a relationship with sea surface temperature, wind direction and wind speed. This increase occurred in the week of seasonal transition from rainy to dry season, when the zonal and meridional winds decrease until they change direction. In the long term, it was observed that this change in wind direction is maintained around the first week of March with interdecadal variability. Further research is needed to quantify the full impact of IME in Galapagos, as well as the interaction with other variables, such as nutrients, and its long-term temporal variability. [ABSTRACT FROM AUTHOR]

Monitoring and managing environmental problems, particularly those impacting human health such as noise and air pollution, are essential. However, the current implementation has certain limitations that need improvement. In the case of noise pollution, accurately computing noise levels requires considering traffic noise propagating in all directions, necessitating the involvement of a 3D building model. Existing methods using raster cells and noise contours are insufficient in achieving high accuracy. To overcome this, we propose integrating a voxelisation approach and 3D kriging, enabling the depiction of traffic noise values for each voxel. In the context of air pollution, wind movement plays a significant role in the dispersion of contaminants. The current practice involves a random selection procedure for wind simulation within the model discretisation. However, we suggest replacing this randomness with a voxel-based model, which not only improves accuracy but also reduces computing time. Thus, the voxel-based model represents the building model in a wind computation environment, facilitating more realistic wind simulation results. This study demonstrates the applicability of the voxelisation technique in two different environmental modeling contexts using the building model of the city building modeling standard. The level of detail (LoD) in the represented building model differs between these approaches. For traffic noise, a low LoD (LoD1) is sufficient to depict exterior buildings accurately. However, for wind simulation, a higher LoD (LoD2) is necessary to accommodate the complexity of buildings and determine appropriate voxel sizes. In conclusion, the proposed improvements in the form of voxel-based modeling techniques offer enhanced accuracy and efficiency in environmental monitoring. The findings of this study have implications for improving the management and reduction of environmental problems, ultimately benefiting human health and well-being. [ABSTRACT FROM AUTHOR]

Southern Ocean surface cooling and Antarctic sea ice expansion from 1979 through 2015 have been linked both to changing atmospheric circulation and melting of Antarctica's grounded ice and ice shelves. However, climate models have largely been unable to reproduce this behavior. Here we examine the contribution of observed wind variability and Antarctic meltwater to Southern Ocean sea surface temperature (SST) and Antarctic sea ice. The free‐running, CMIP6‐class GISS‐E2.1‐G climate model can simulate regional cooling and neutral sea ice trends due to internal variability, but they are unlikely. Constraining the model to observed winds and meltwater fluxes from 1990 through 2021 gives SST variability and trends consistent with observations. Meltwater and winds contribute a similar amount to the SST trend, and winds contribute more to the sea ice trend than meltwater. However, while the constrained model captures much of the observed sea ice variability, it only partially captures the post‐2015 sea ice reduction. Plain Language Summary: While most of the globe has warmed in recent decades, the Southern Ocean around Antarctica cooled at the surface and its sea ice expanded from the beginning of satellite observations in 1979 through 2015. This unexpected behavior has been linked to changes in winds and to the addition of cold, fresh water from the melting of Antarctic's ice sheet and ice shelves. However, the importance of these two potential drivers has been unclear, partly because global climate models have often struggled to reproduce the observed changes. Here, we modify a climate model, constraining it to simulate observed winds and adding in realistic amounts of meltwater. With these changes, the model can simulate changes in SST and sea ice that are similar to observations. Winds and meltwater both play an important role. However, they cannot fully explain the large Antarctic sea ice reductions that were observed after 2015, suggesting that other factors may be at play. Key Points: We nudge winds to observations and add estimates of observed freshwater from ice sheet and ice shelf melt in a coupled climate modelSouthern Ocean sea surface temperature trends and variability better match observations, with both winds and meltwater being importantThe constrained model simulates strong Antarctic sea ice expansion and only partially captures recent sea ice lows [ABSTRACT FROM AUTHOR]

We consider the general problem of a Parker-type non-relativistic isothermal wind from a rotating and magnetic star. Using the magnetohydrodynamics code athena++ , we construct an array of simulations in the stellar rotation rate Ω* and the isothermal sound speed c T, and calculate the mass, angular momentum, and energy loss rates across this parameter space. We also briefly consider the 3D case, with misaligned magnetic and rotation axes. We discuss applications of our results to the spin-down of normal stars, highly irradiated exoplanets, and to nascent highly magnetic and rapidly rotating neutron stars born in massive star core-collapse. [ABSTRACT FROM AUTHOR]

Despite lower‐troposphere wind flow being a major control of rainfall in equatorial Africa, no studies have systematically compared winds from multiple reanalyses nor have attempted to validate the wind directions. Therefore, the objectives of this study are to assess differences in wind directions among multiple reanalysis products and compare reanalysis winds with wind measurements made at weather stations. The study region is western Uganda, part of the transition region between western equatorial Africa (WEA) and eastern equatorial Africa (EEA). Four‐times daily (i.e., 0Z, 6Z, 12Z and 18Z) 10‐m and 850‐hPa winds from 1980 to 2021 are obtained for ECMWF Reanalysis v5 (ERA5), Japan Meteorological Agency 55‐year Reanalysis (JRA55), Modern‐Era Retrospective analysis for Research and Applications Version 2 (MERRA2), NCEP‐NCAR Reanalysis 1 (R1) and NCEP/DOE Reanalysis II (R2). Wind measurements at 10 m and 850 hPa are obtained for six weather stations and two weather stations, respectively. Agreements between pairs of products and between measurements and reanalysis estimates are determined. In addition, differences between reanalyses and measurements with respect to wind vectors are calculated. Results show that the majority of reanalyses have western Uganda within the prevailing easterly flow over EEA and east of the prevailing westerly flow over WEA. Ten‐meter wind measurements also show easterly flow being prevalent throughout western Uganda. R1 is unique among the products due to a relatively large number of westerly days. However, much of the westerly flow is likely artificial, based on station data. MERRA2 has large easterly biases. JRA55 is much more accurate than the other products at reproducing the intra‐annual frequencies of wind directions. JRA55 and ERA5 are the least biased products based on the magnitudes of difference vectors. Therefore, it is recommended that JRA55 and ERA5 continue to be used in examinations of winds in western Uganda. [ABSTRACT FROM AUTHOR]

The use of vertical axis wind turbines to electrify homes without electricity in the Peruvian region of Junín is essential to address the challenges of climate change and move towards a more sustainable and environmentally friendly future. The objective was set to compare three types of wind turbines, these are Darrieus H, Savonius, and Windside concerning to the wind speeds that occur in the Junín region. This is because the operation of these wind turbines in this region is not yet known. The following procedure was tracked: first, the design was made and then it was experimented in the wind tunnel laboratory of the Faculty of Electrical and Electronic Engineering of the National University of Central Peru. In the study, we took into account that there is indeterminacy in the variable wind speed among others, which is why we adapted the traditional variables to the use of neutrosophic numbers. Additionally, we carried out a comprehensive study that includes other variables for decision-making. To select the best complete option we asked a group of 3 experts for their evaluations according to several criteria and we used the VIKOR method for intervals adapted to neutrosophic numbers. [ABSTRACT FROM AUTHOR]

Abstract The higher‐order turbulence scheme, Cloud Layers Unified by Binormals (CLUBB), is known for effectively simulating the transition from cumulus to stratocumulus clouds within leading atmospheric climate models. This study investigates an underexplored aspect of CLUBB: its capacity to simulate near‐surface winds and the Planetary Boundary Layer (PBL), with a particular focus on its coupling with surface momentum flux. Using the GFDL atmospheric climate model (AM4), we examine two distinct coupling strategies, distinguished by their handling of surface momentum flux during the CLUBB's stability‐driven substepping performed at each atmospheric time step. The static coupling maintains a constant surface momentum flux, while the dynamic coupling adjusts the surface momentum flux at each CLUBB substep based on the CLUBB‐computed zonal and meridional wind speed tendencies. Our 30‐year present‐day climate simulations (1980–2010) show that static coupling overestimates 10‐m wind speeds compared to both control AM4 simulations and reanalysis, particularly over the Southern Ocean (SO) and other midlatitude ocean regions. Conversely, dynamic coupling corrects the static coupling 10‐m winds biases in the midlatitude regions, resulting in CLUBB simulations achieving there an excellent agreement with AM4 simulations. Furthermore, analysis of PBL vertical profiles over the SO reveals that dynamic coupling reduces downward momentum transport, consistent with the found wind‐speed reductions. Instead, near the tropics, dynamic coupling results in minimal changes in near‐surface wind speeds and associated turbulent momentum transport structure. Notably, the wind turning angle serves as a valuable qualitative metric for assessing the impact of changes in surface momentum flux representation on global circulation patterns.

Abstract This paper presents the first quantitative relationship between the cold point tropopause (CPT) and tropical easterly jet (TEJ) using radiosonde observations over Gadanki (13.45° N, 79.2° E) during the Indian summer monsoon season 2006–2014. CPT and TEJ peak altitudes (HCPTandHTEJ) show amalgams of two categories of variability on the day‐to‐day scale. In category1 HTEJ occurs close to HCPT and they show in‐phase variation. While in Category2 HTEJ occurs far apart from HCPT and they do not show any relationship. For Category1 HCPT and HTEJ are strongly correlated (0.70), as well as HCPT and TCPT (CPT temperature) are moderately anticorrelated (−0.55) significant at a 95% confidence level, indicating the dominance of adiabatic processes. Whereas in Category2 HCPT and TCPT are not significantly anti‐correlated. Thus, when TEJ and CPT are close to each other, it may serve as an indicator for the prevalence of the synoptic‐scale effect.