Increase In Surface Temperature Research Articles

Correlation Between Impervious Surface and Surface Temperature Change in Typical Urban Agglomerations—The Case Study of Xuzhou City, China

Impervious areas are one of the important indicators for evaluating the urbanization process, while surface temperature is one of the reference factors for evaluating the urban environment. In order to investigate whether the spatial distribution of an impervious surface has any influence on urban surface temperature, Xuzhou City was selected as the study area, and the impervious surface information was extracted based on the maximum likelihood classification method for Xuzhou City for the period of 2013–2022, and surface temperature inversion was performed using Landsat 8 remote sensing imagery and nighttime lighting data. In order to reduce the confusion between bare soil and impervious surfaces, the study area was divided into built-up and non-built-up areas for the selection of impervious and pervious surface samples using nighttime lighting data, and, finally, the maximum likelihood classification method was used to realize the extraction of impervious surfaces. The experimental results show that, by extracting the impervious surface of Xuzhou City, the impervious surface of Xuzhou City continued to increase from 2013 to 2022, in which the growth rate was faster in 2014–2016 and 2019–2021, and slower in 2017–2018 and 2021–2022, after performing surface temperature inversion as well as temperature grading. The results of impervious surface extraction and surface temperature inversion were subjected to overlay analysis and linear regression analysis. It was found that most of the impervious surface area is in high-temperature areas, and the density of the impervious surface is proportional to the surface temperature in the impervious surface and its surrounding area. Therefore, it can be concluded that the expansion of impervious surfaces is one of the reasons for the increase in urban surface temperature.

GLOBAL WARMING: A COMPREHENSIVE ANALYSIS OF CAUSES, IMPACTS, AND SOLUTIONS

Global warming is one of the most critical environmental challenges facing humanity today, characterized by a significant increase in Earth's average surface temperature due to human-induced greenhouse gas emissions. This paper provides a comprehensive examination of the primary anthropogenic causes of global warming, including industrialization, deforestation, and changes in land use patterns. The burning of fossil fuels—such as coal, oil, and natural gas—for energy production and transportation has led to a dramatic rise in carbon dioxide levels in the atmosphere. This surge in CO2 concentrations has intensified the greenhouse effect, trapping more heat within the Earth's atmosphere and contributing to the overall rise in global temperatures. In addition to carbon dioxide, other potent greenhouse gases like methane and nitrous oxide, released from agricultural practices and industrial processes, exacerbate the warming effect. The expansion of industrial agriculture has significantly increased methane emissions, while synthetic fertilizers contribute to higher levels of nitrous oxide. Deforestation driven by agricultural expansion and urban development further diminishes the Earth's capacity to absorb carbon dioxide, releasing stored carbon and altering local climate patterns. The impacts of global warming are extensive, affecting ecosystems, weather patterns, and human societies worldwide. Rising sea levels threaten coastal communities, while changing precipitation patterns lead to more frequent and severe droughts and floods. This paper also discusses the interconnected nature of these factors and their complex feedback systems that amplify global warming effects. To address this multifaceted challenge, the paper proposes a comprehensive approach that includes transitioning to renewable energy sources, enhancing energy efficiency across all sectors, implementing sustainable land use practices, and fostering international cooperation through policy initiatives such as the Paris Agreement. Understanding these intricate relationships is crucial for developing effective strategies to mitigate and adapt to the challenges posed by global warming, ensuring a sustainable future for generations to come.

The major role of riverine outflows in shaping the current and future habitats of Harmful Algal Blooms: the case of the North Sea

Abstract This study investigates the extension of the potential habitat of Harmful Algal Blooms (HABs) in the North Sea using observational data and model experiments under current and future climate scenarios. We assess the combined effects of temperature, salinity, and nutrient availability, particularly the nitrogen-to-phosphorus ratio, on HABs in the region. Climate change projections indicate a decrease in salinity concomitant with an increase in surface temperature, potentially leading to an offshore extension of HAB habitat. Reducing nitrogen and phosphorus loads in rivers differentially affects dissolved inorganic nitrogen (DIN) and phosphorus (DIP) levels, with DIN being more sensitive to load reduction, thereby constraining HAB habitat extension. We underscore the importance of considering both physical and biogeochemical factors in assessing HAB habitat dynamics and the potential impacts of climate change and nutrient reduction measures on HAB expansion in the North Sea. These findings have significant implications for environmental policy and management.

Land surface temperature and socioeconomic residential segregation in the Metropolitan Zone of San Luis Potosí, Mexico

Economic growth and urban sprawl in territorial systems produce an uneven distribution of infrastructure and services. This creates residential areas with high capital gains that are affordable only for the middle and upper classes. For lower-income groups, the only options are depressed urban areas with limited infrastructure. The economic dynamics of urban systems require large amounts of energy that contribute to an increase in the land surface temperature (LST). The objective of this research was to analyze urban heat and exposure inequalities of socioeconomically segregated groups during the last thirty years in the Metropolitan Zone of San Luis Potosí–Soledad de Graciano Sánchez, Mexico. A spatial and temporal analysis of Landsat 5 and 8 satellite imagery was used to determine the variation in LST over the last three decades. Socioeconomic residential segregation was calculated using the Theil index. With this data, a self-segregated sector with high capital gains was identified. This sector exhibited significant differences (p < 0.05) of −2.00 °C and −1.58 °C in average LST in the spring months compared to the most depressed urban sectors characterized by the largest concentrations of overcrowded social housing and the lowest educational indexes. The spatio-temporal patterns suggest that urban expansion has led to an unequal distribution of ecosystem services for temperature regulation, leaving the most vulnerable groups with higher exposure to the effects of urban heat.

Adaptation of Satellite Remote Sensing Algorithms for Retrieval of Environmental Parameters in the Caspian Sea

The state of the Caspian Sea ecosystems causes serious concern due to anthropogenic (oil and gas production and transportation) and natural reasons (climatic changes, extreme meteorological and hydrological phenomena, natural hazards and their frequency of recurrence, etc.). Climatic changes have already led to a sharp drop in the Caspian Sea level, an increase in sea surface temperature, changes in ice conditions in the Northern Caspian, the intensity of phytoplankton blooms, especially in the Southern Caspian, an increase in turbidity in coastal areas due to river runoff, and changes in the frequency and intensity of wind patterns. As a rule, such phenomena have a significant specific (more often negative) impact on the natural systems and infrastructure of the coastal zone. To understand the current state and climatic changes in the main parameters of the marine environment in the Caspian Sea and to carry out its comprehensive analysis, it is necessary to use remote sensing data and to determine correctly different environmental parameters. Our experience shows that in many cases standard algorithms for retrieval of these parameters from the remote sensing data that are elaborated, calibrated and validated for the open ocean conditions, are not valid for inland seas which have their own specific physico-geographical, oceanographic and meteorological conditions. The paper presents a review of new algorithms and techniques developed during the past decade for correct retrieval of sea surface temperature, water turbidity, suspended particulate matter concentration, as well as determination of ice cover, river plumes, and wind surge areas based first of all on Ocean Color Data: MSI Sentinel-2A, -2B; OLI/TIRS Landsat-8 and OLI-2/TIRS-2 Landsat-9. These algorithms have been introduced into the specialized information and analytical system “See the Caspian Sea” (STCS), designed for collecting, analyzing and visualizing satellite and meteorological data for the Caspian Sea region.

Analysis of Sea Surface Temperature (SST) Patterns in Arafura Waters Using Google Earth Engine (GEE) for Early Detection of Environmental Threats

Global warming that is happening today can result in an increase in sea surface temperatures. High sea surface temperatures can potentially disrupt the stability of ecosystems in Arafuru Waters. The waters of Arafuru are located in the south of Papua and border the country of Australia. This study aims to analyze the increase in sea surface temperature in waters using a satellite image processing method with Google Earth Engine (gee) software in a span of one year in 2021. The results obtained in this study are that the sea surface temperature value is around 28-300C which is in the medium category according to the Ministry of Marine Affairs and Fisheries. In this study, it is expected to be able to deal with environmental threats caused by rising sea surface temperatures, especially marine life.

Combining a Multi-Lake Model Ensemble and a Multi-Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan.

Global warming is shifting the thermal dynamics of lakes, with resulting climatic variability heavily affecting their mixing dynamics. We present a dual ensemble workflow coupling climate models with lake models. We used a large set of simulations across multiple domains, multi-scenario, and multi GCM- RCM combinations from CORDEX data. We forced a set of multiple hydrodynamic lake models by these multiple climate simulations to explore climate change impacts on lakes. We also quantified the contributions from the different models to the overall uncertainty. We employed this workflow to investigate the effects of climate change on Lake Sevan (Armenia). We predicted for the end of the 21st century, under RCP 8.5, a sharp increase in surface temperature and substantial bottom warming , longer stratification periods (+55days) and disappearance of ice cover leading to a shift in mixing regime. Increased insufficient cooling during warmer winters points to the vulnerability of Lake Sevan to climate change. Our workflow leverages the strengths of multiple models at several levels of the model chain to provide a more robust projection and at the same time a better uncertainty estimate that accounts for the contributions of the different model levels to overall uncertainty. Although for specific variables, for example, summer bottom temperature, single lake models may perform better, the full ensemble provides a robust estimate of thermal dynamics that has a high transferability so that our workflow can be a blueprint for climate impact studies in other systems.

The West Pacific Teleconnection Drives the Interannual Variability of Autumn Wildfire Weather in the Western United States After 2000

AbstractWildfires pose a significant threat to human society as severe natural disasters. The western United States (US) is one hotspot that has experienced dramatic influences from autumn wildfires especially after 2000, but what has caused its year‐to‐year variations remains poorly understood. By analyzing observational and atmospheric reanalysis datasets, we found that the West Pacific (WP) pattern centered in the western North Pacific acted as a major climatic factor to the post‐2000 autumn wildfire activity by inducing anomalous high pressure over the western US via teleconnections with increased surface temperature, decreased precipitation, and reduced relative humidity. The WP pattern explains about one‐third of the post‐2000 years‐to‐year variance of the western US autumn wildfires. These effects were found to be much weaker in the 1980–1990s, as the active region of WP‐associated high pressure was confined to the eastern North Pacific. Such eastward shift of the WP teleconnection pattern and its resultant, enhanced influence on the weather conditions of western US autumn wildfire after 2000 are also captured by the sea surface temperature (SST)‐forced atmospheric model simulations with the Community Atmosphere Model version 6 (CAM6). The CAM6 ensemble‐mean changes in the WP teleconnection pattern at 2000 is about half of the observed changes, which implies that external radiative forcing and/or SST changes have played an important role in the WP pattern shift. Our results highlight a pressing need to consider the joint impacts of atmospheric internal variability and externally forced climate changes when studying the interannual variations of wildfire activity.

Thermal hydraulic and material analysis of upgraded flat-type Graphite divertor mock-up for Pakistan Spherical Tokamak (PST)

The design of a divertor is critically dependent on managing power deposition, erosion effects, and plasma configuration. An upgraded double-null divertor configuration has been developed for the Pakistan Spherical Tokamak (PST), featuring graphite targets that are actively cooled and designed to withstand a peak heat flux of 0.3 MW/m² at a pressure of 0.1 MPa. This paper presents a comprehensive thermal-hydraulic and material analysis for the upgraded flat-type divertor mock-up system, covering aspects such as material surface heat load, peak temperature rise (∆T °C) on the mock-up, and surface temperature increase in the cooling channel. The analysis includes total deformation (mm) and equivalent strain for the inner vertical target (IVT), outer vertical target (OVT), and dome structure, along with material comparison. The recommended SST K-ω turbulence model is utilized in the pressure-based transient analysis, with an inlet velocity of 1.5 m s-1 and an inlet temperature of 16.8 °C. A comparative study of the material and thermal-hydraulic analyses was performed using CFD and RELAP5. The findings reveal that graphite is more suitable than tungsten for the PST's upgraded divertor system, demonstrating its effectiveness as the preferred surface material to address heat enhancement challenges in the PST.

Mechanisms Regulating Coccolithophore Dynamics in the Great Calcite Belt in the Southern Ocean in the Community Earth System Model

AbstractThe Great Calcite Belt (GCB) is a region of elevated particulate inorganic carbon (PIC) generated by coccolithophore growth that spans the subantarctic Southern Ocean. The GCB is thought to play an important role in the global carbon cycle. Coccolithophores, however, are sensitive to multiple climate‐related environmental factors. To understand these controls on Southern Ocean coccolithophores comprising the GCB, we explore its major bottom‐up and top‐down processes using the Community Earth System Model (CESM). We find that coccolithophore biomass accumulates where both macronutrients and iron are available at concentrations greater than ∼50% of their half‐saturation constants, and temperature is more limiting than both light and nutrients. Coccolithophore biomass is decoupled from growth rates due to top‐down control. At higher temperatures and lower latitudes, microzooplankton grazing outpaces coccolithophore growth. This occurs because the temperature dependence of grazing is parameterized with an exponential (Q10) function, whereas coccolithophore growth is parameterized with a power function; these temperature curves diverge at higher temperatures. While the extent of the GCB is primarily controlled by temperature, its magnitude is most strongly controlled by environmental factors affecting iron concentrations. Our results suggest that (a) the temperature relationships for both coccolithophore growth and its loss terms are critical for resolving a GCB in CESM, and (b) the spatial extent of Southern Ocean coccolithophores may be sensitive to continued increases in sea surface temperatures.

Analysis and prediction of land surface temperature with increasing urbanisation using satellite imagery

The unplanned growth of urbanization in towns and cities has led to variations in Land Surface Temperature (LST) as the green lands are converted into impervious structures without land cover management. In this study, an effort is made to study the transformational change in natural land cover area over the years and its impact on LST in Ernakulum District of Kerala, India. As per the current statistics from one of the reports on “Observed Rainfall Variability and Changes Over Kerala State”, by Indian Metrological Department in January 2020 shows that there is a significant decreasing trend in rainy days in many districts of Kerala which has resulted in highest temperature records in recent years. To understand the change in temperature trends in the district, Landsat data is collected for four different years 2005, 2010, 2015 and 2020 that maps Land Use and Land Cover (LULC) pattern for vegetation cover and built-up areas. It is important to interpret LULC maps as converting the vegetative land in built-up areas leads to multiple reflecting surfaces and temperature trapping which serves as the most direct way to understand the influence of global warming. The major merit of this research is (i) to interpret the temporal changes in LULC for categorizing the images in different land covers, (ii) to analyze Urban Thermal Field Variance Index (UTFVI) to quantify the urban heat island (UHI) effect in the region, (iii) to assess change in temperature by analyzing the spatio-temporal variations in mean temperatures for different land cover classes, and (iv) to analyze the trend of LST wrt to vegetation spectral index i.e., Normalized Differential Vegetation Index (NDVI) and spectral building index i.e., Normalized Difference Building Index (NDBI) to predict the percentage change in temperature in successive years using the widely used regression model. The computational simulation findings show that the percentage area of vegetated land decreases from 47.91 % to 29.04 % and the LST change analysis observed for years from 2005 to 2020 is 2.55 °C. For built up land, the percentage area is increased from 6.50 % to 15.27 % and the change in LST observed from year 2005–2020 is 4.82 °C which is a significant rise in temperature. The overall accuracy achieved for four respective years comes out to be 93, 89, 90, and 92 %. It has been observed from the analysis, that there is a change in temperature over the period of time from 2005 to 2020 b 3.45 °C. This is due to unplanned use of land cover classes that show considerable change in LULC maps that can be seen in the simulated results for a given study area. If the rate of change in area appeared to constantly change in this manner, then there is a possibility of further increase in land surface temperature and that will contribute in increase of temperature. The rise in mean LST from year 2020–2025 would be 0.5 °C and 1.0 °C for year 2030.

Effects of ultrasonic shot peening process on the microstructure and mechanical properties of nickel-based superalloys formed by selective laser melting

Selective laser melting (SLM) is an attractive additive manufacturing technique for fabricating high-performance superalloys engineering components. Unfortunately, these as-built parts generally exhibit unsatisfied mechanical properties because of their natural thermal residual stress and non-equilibrium microstructures. Ultrasonic shot peening (USP) can effectively inhibit defect expansion and even close pores, thereby improving the mechanical properties of alloys. In this study, the internal defects, residual stress and microhardness redistribution, tensile properties, as well as microstructural response of the GH3230 alloy treated by different ultrasonic peening time are systematically studied. USP treatment induces a significant carbides fragmentation and synthesizes surface gradient heterogeneous structure, which displays a microstructure gradient in grain size, carbides size and dislocation density from surface to core. Long-time USP treatment induces work softening of GH3230 alloys. The work softening mechanism of the GH3230 alloys after long-time USP treatment is ascribed to the increase of surface temperature and high stored strain energy. Both the microhardness and residual compressive stress in the softened region of GH3230 alloys are reduced. Work softening effect increases the surface plasticity of the GH3230 sample, which induces deeper gradient structure. The various strengthening mechanisms of gradient heterogeneous structures, as well as the multiple effects of hetero deformation induced (HDI) hardening, and densification strengthening are responsible for achieving strength-ductility synergy. The research findings provide new insights based on USP for improving the mechanical properties of heterogeneous superalloys engineering components.

Reductions in atmospheric levels of non-CO2 greenhouse gases explain about a quarter of the 1998-2012 warming slowdown

The observed global mean surface temperature increase from 1998 to 2012 was slower than that since 1951. The relative contributions of all relevant factors including climate forcers, however, have not been comprehensively analyzed. Using a reduced-complexity climate model and an observationally constrained statistical model, here we find that La Niña cooling and a descending solar cycle contributed approximately 50% and 26% of the total warming slowdown during 1998-2012 compared to 1951-2012. Furthermore, reduced ozone-depleting substances and methane accounted for roughly a quarter of the total warming slowdown, which can be explained by changes in atmospheric concentrations. We identify that non-CO2 greenhouse gases played an important role in slowing global warming during 1998-2012.

Energy and exergy analysis of a newly designed photovoltaic thermal system featuring ribs, petal array, and coiled twisted tapes: Experimental analysis

Photovoltaic systems suffer from electrical efficiency loss due to increases in surface temperature. To tackle this problem, Photovoltaic Thermal, consisting of photovoltaic and tube configurations attached to its back, is suggested. This study attempts to develop a new collector design in photovoltaic thermal systems. The new design features ribs and petal arrays on its inner and outer surfaces and a coiled twisted tape positioned inside it. The study also uses silicon carbide enhanced nanofluid (0.3 % and 6 % volume concentration) and phased changing material (1 % volume concentration) to boost the thermal efficiency further. Using an indoor solar simulator, the study investigates the effects of mass flow rate in the range of (0.1–0.85) kg/s, solar irradiances of (400–1000) W/m2, and coolant types of (water, 0.3 % and 0.6 % SiC enhanced nanofluid, water and nanophase changing materials, and 0.3 % and 0.6 % SiC enhanced nanofluid and nanophase changing materials). Besides revealing the relationship between all the parameters studied, the results report a maximum electrical energy efficiency of 11.2 %, thermal energy efficiency of 86.2 %, and total exergy efficiency of 15.3 %. The system reached optimal power production of 25.99 W using a photovoltaic module with a maximum power rate of 30 W.

Examining the Role of Surface Temperature on Boundary Layer Stability and Transition to Turbulence

This study investigates the influence of varying surface temperature on the critical Reynolds number to understand the onset of turbulence in the boundary layer of a flat plate. Computational Fluid Dynamics (CFD) simulations in ANSYS Fluent have been utilized for the purpose of this study. The study systematically varies surface temperature to measure its impact on flow stability. The research demonstrates that an increase in surface temperature results in a lower critical Reynolds number (leading to an earlier transition from laminar to turbulent flow) by modeling air as the working fluid and applying the k-ω SST turbulence model. The results align with theoretical predictions which highlight the destabilizing effect of temperature-induced viscosity changes. This finding has practical implications for aerospace engineering, HVAC systems, and environmental modeling where controlling turbulence can optimize performance and energy efficiency. The study acknowledges limitations due to the use of a 2D model and suggests future work using 3D simulations and other flow conditions to expand the applicability of the findings.

Impact of ENSO on Cloud Distribution and Rainfall Variability in Tangerang Regency

A type of climate variation in the Pacific Ocean known as El Niño Southern Oscillation (ENSO) is defined by an increase in sea surface temperature (SST) in the Central and Eastern equatorial areas, which affects the amount of rainfall that falls and increases. In Indonesia, the rainy season typically persists from October to March, whereas the dry season persists from April to September. Research on the influence of ENSO on rainfall has been carried out in several areas, but has not been carried out in the Tangerang area. This study aims to ascertain how the ENSO phenomena affect rainfall fluctuations and cloud distribution in the Regency of Tangerang. The secondary data, which includes information on rainfall, cloud cover, wind direction, and speed, was acquired from BMKG Meteorology Budiarto. In addition, data from the Australian Bureau of Meteorology (BOM) website's Southern Oscillation Index (SOI) was used. Surface weather analysis and Pearson correlation analysis are the data analysis techniques used. The results presented that based on surface weather study, ENSO events had a consequence on cloud distribution in Tangerang Regency. The clouds lead when the ENSO phenomenon occurs, namely Cumulus and Nimbostratus clouds with a 4-8 octa cloud cover. Meanwhile, the correlation test results show that ENSO influences seasonal and annual rainfall variations in the district of Tangerang. The largest correlation between SOI and annual rainfall occurred in 2015 with a correlation value of r-0.84 (very strong). Meanwhile, the greatest correlation between SOI and seasonal rainfall occurred in July-September with a correlation value of r=0.67 (strong).

Understanding urban atmospheric variability: Implications of vegetation (canopy cover) dynamics in Assam's urban landscapes

Large-scale urbanization has altered city surface characteristics, significantly affecting heat balance and thermal environments. The role of vegetative and urban canopy cover in shaping metropolitan climates has gained considerable attention.This study examines the impact of tree canopy cover on thermal comfort and microclimatic conditions in Guwahati, Assam. Conducted in a high-temperature, high-humidity region, it uses qualitative surveys and microclimatic measurements, alongside remote sensing data from 1981 to 2022. Findings show that without canopy cover, car roof temperatures reach 26.32 °C, while areas with high canopy coverage have lower temperatures of 21.17 °C. Vegetation analysis reveals a 10.06% decline in canopy cover, a 13.46% increase in built-up areas, and a 3.85% decrease in open spaces. A negative correlation between NDVI and LST confirms that reduced vegetation increases surface temperatures.The study confirms a negative correlation between NDVI and LST, with coefficients ranging from −.468 to −.224, showing that reduced vegetation increases surface temperatures. Areas with high tree canopy cover experience significant microclimate benefits, with afternoon air and mean radiant temperatures lowered by up to 4.9 °C and 5.48 °C, respectively. Stations with more canopy cover provide greater cooling effects, especially at noon, compared to areas without tree shade.Increasing tree canopy coverage enhances thermal comfort and supports sustainable urban planning. This study offers valuable insights for managing thermal environments and guiding urban policy and sustainable development.

In Vitro Evaluation of Root Surface Temperature Using Different Endodontic Filling Techniques

Depending on the obturation technique, the tooth and surrounding tissues may heat up during root canal filling, particularly with warm methods. This study aimed to analyze the temperature increase in the periradicular and -apical region during various warm obturation techniques with a present simulated periodontal blood flow. Seventy-five extracted human teeth were shortened to 11 mm (cut-grinder Primus diamond cutting device; Walter Messner GmbH, Oststeinbek, Germany) and prepared using the ProTaper Gold system (Dentsply Sirona Inc., Charlotte, NC, USA) ISO size 40/.06. Specimens were prepared to ensure stable fluid circulation in an artificially created periodontal space, and the procedure was recorded with a thermal infrared camera (VarioCAM HD; InfraTec GmbH Infrarotsensorik und Messtechnik, Dresden, Germany). The following obturation methods were applied: I, cold single-cone obturation (control group); II, gutta-percha-coated rigid carrier technique (GuttaFusion); III, squirting technique (injection technique); IV, continuous wave technique; and V, Schilder technique. Statistical analysis was performed using the Kruskal–Wallis test, followed by the Mann–Whitney pairwise test using the sequential Bonferroni procedure for significant differences (p &lt; 0.05). The Schilder technique with 0 mL/min showed the lowest temperature change, with a median of 0.00 °C (max. 0.00 °C, min. 0.00 °C, IQR 0.00 °C). In contrast, the continuous wave technique at a circulation rate of 2.6 mL/min exhibited the highest temperature change, with a median of 3.76 °C (max. 5.33 °C, min. 2.42 °C, IQR 1.46 °C). Although warm obturation techniques can increase surface temperature, none of the methods produced changes that were potentially damaging to the periodontium or surrounding bone.

Analysis of Macro- and Microphysical Characteristics of Ice Clouds over the Tibetan Plateau Using CloudSat/CALIPSO Data

Utilizing CloudSat/CALIPSO satellite data and ERA5 reanalysis data from 2007 to 2016, this study analyzed the distributions of optical and physical characteristics and change characteristics of ice clouds over the Tibetan Plateau (TP). The results show that the frequency of ice clouds in the cold season (November to March) on the plateau is over 80%, while in the warm season (May to September) it is around 60%. The average cloud base height of ice clouds in the warm season is 3–5 km, and mostly around 2 km in the cold season. The average cloud top height in the warm season is around 5–8 km, while in the cold season it is mainly around 4.5 km. The average thickness of ice clouds in both seasons is around 2 km. The statistical results of microphysical characteristics show that the ice water content is around 10−1 to 103 mg/m3, and the effective radius of ice clouds is mainly in the range of 10–90 μm. Both have their highest frequency in the west of the TP and lowest in the northeast. A comprehensive analysis of the change in temperature, water vapor, and ice cloud occurrence frequency shows that the rate of increase in water vapor in the warm season is greater than that in the cold season, while the rates of increase in both surface temperature and ice cloud occurrence are smaller than in the cold season. The rate of increase in temperature in the warm season is around 0.038 °C/yr, and that in the cold season is around 0.095 °C/yr. The growth rate of thin ice clouds in the warm season is around 0.15% per year, while that in the cold season is as high as 1% per year. The results suggest that the surface temperature change may be related to the occurrence frequency of thin ice clouds, with the notable increase in temperature during the cold season possibly being associated with a significant increase in the occurrence frequency of thin ice clouds.

A scoping review of the impact of eco-distress and coping with distress on the mental health experiences of climate scientists.

In the face of a future predicted to be one defined by an increase in the Earth's surface temperature, and the associated extreme weather events, distressing emotional responses are understandable. Climate scientists comprise a unique group, in that they are deeply and consistently faced with the current reality, and consequences of, climate change. 'Ecological distress', a term to describe climate-related emotional experiences, can include feelings of grief, anxiety, and hopelessness proportionate to the existential threat of climate change. This review sought to scope the current literature into how ecological distress is experienced by this population, factors that mitigate or exacerbate these experiences, and the coping strategies that are used. This review used Interpretive Content Analysis to code the data and employed a narrative synthesis of the findings. This paper demonstrates the significant emotional impacts associated with working as a climate scientist, along with an associated set of coping strategies. Climate scientists share experiences of emotional distress, involving both intra- and interpersonal processes, highlighting how people working in this profession may be vulnerable to unique pressures and psychological burdens related to their work. Climate scientists have an essential role to play in helping society and policy makers understand the implications of climate change and identifying the most useful responses. As such, it is integral that the psychological wellbeing of this group is understood and cared for. This review is the first step in synthesising current knowledge, in preparation for developing helpful methods and strategies for keeping our climate scientists well, motivated, and engaged.