Chill Index Research Articles

Determining Residential Areas Based on Bioclimatic Conditions in Kahramanmaraş, Türkiye

Bioclimatic comfort refers to the climatic conditions that contribute to individuals’ physiological and psychological well-being. Criteria such as temperature, relative humidity and wind speed are pivotal in determining bioclimatic comfort. Bioclimatic areas should be taken into consideration in urban planning studies for both human well-being and energy saving. This study endeavors to identify bioclimatic comfort areas tailored for Kahramanmaraş. 57 years of climate data obtained from 32 meteorological stations were used. These data were imported into ArcGIS 10.8 geographic information systems (GIS) software. Bioclimatic comfort levels were analyzed on a monthly, seasonal, and annual basis, employing the Discomfort Index (DI), Heat Index (HI), and Wind Chill Index (WCI). The findings revealed that the optimal bioclimatic conditions fell within specific ranges: a temperature range of 18-25°C, relative humidity between 32-48%, and a wind speed of 1.25 – 2.75 m/s. Ten classes were generated based on bioclimatic suitability. The areas characterized by almost unsuitable bioclimatic comfort cover are 426 km² and 2.93%, less suitable areas encompass 9106 km² and 62.69%, and moderately suitable bioclimatic comfort areas span 4993 km² and 34.38%.

Spatiotemporal changes in tourism climate comfort in Sichuan Province from 1961 to 2022

AbstractBased on the daily temperature, wind speed, relative humidity, sunshine hours and precipitation in Sichuan Province from 1961 to 2022, the spatiotemporal variation characteristics of tourism climate comfort in Sichuan Province were analysed using the temperature–humidity index (THI), precipitation index (P), sunshine duration index (SSD), wind chill index (WCI) and tourism climate index (TCI). The results show that the average annual TCI in Sichuan Province over the past 62 years is “acceptable” or above and shows a significant increasing trend at a rate of 0.018 per decade. On average, the best travel comfort period in Sichuan Province is from March to May and from October to November. The TCI increased significantly in cold seasons such as February and November with rates of 0.064 and 0.053 per decade, respectively. The increase in TCI is mainly controlled by the increase in THI and WCI, both of which are related to the increase in temperature, with a greater effect in cold seasons and at higher elevations. Most of China's 5A‐level tourist attractions in Sichuan Province (14 of 17) have an annual TCI of “acceptable” or better. Similarly, the top 3 months for climate comfort at these attractions tend to be March to May and October, with ratings reaching “good” or even “very good.” For the other three destinations, all characterized by glaciers and mountains, the top 3 months for climate comfort are concentrated in the warm months. The overall tourism climate comfort of Sichuan Province is increasing, and the climate is changing in a positive way for the tourism industry.

Oxalic acid alleviates chilling injury and positively influences post-harvest parameters of sweet bell pepper by affecting glycine betaine accumulation, cells respiration rate and NADPH oxidase enzyme activity during cold storage

Bell pepper as tropical crop and warm-season vegetable is sensitive to cold storage under temperatures below 7.5 °C. The purposes of the current study were to investigate the influence of pre-harvest treatment of oxalic acid (OA 0, 1, 5, 10, and 15 mM) on some of most important morphological, physiological and bio-chemical characteristics of red bell pepper cv. "2090 Westland" at post-harvest stage, and assessment of mechanisms and enzymatic pathways of crop response to OA treatments. OA treatments greatly reduced the chilling index, and the positive effects of treatments enhanced by increasing the concentration of OA. The energy level (ATP content) of pepper fruits decreased with extending storage duration, but OA treatment maintained the ATP content of fruits. On 24 d of storage, the highest and lowest activity rate of NADPH oxidase enzyme was recorded in control and 10 mM-treated fruits. Extending storage duration led to a significant increase in cells respiration rate, but this increase was more pronounced in control. Oxalic acid as low-risk and environmentally friendly compound could be an appropriate choice to apply as pre-harvest treatment in order to extend shelf-life of bell pepper fruits during cold storage under 4 ºC. The most important mechanisms reaction of OA are enhancing of enzymatic and non-enzymatic antioxidant activities, increasing the accumulation rate of osmoprotectants and regulation of energy metabolism of cells. Pre-harvest treatment of OA 10 mM could be introduced as efficient technique to overcome adverse effects of chilling stress on post-harvest characteristics of bell pepper.

Bio-logging reveals heritable patterns of natural behaviours in sheep

The measurement of behaviour in extensively managed livestock for the assessment of welfare remains a challenge. Bio-logging devices offer the opportunity to collect continuous behavioural data over long periods while animals are in their normal physical environment. Using collar-measured acceleration from 84 ewes over 28 days in a commercial flock, we built two-component daily phenotypic profiles with data-driven analysis techniques not reliant on human observations. Our analysis demonstrates the moderate repeatability of both components (0.58 ± 0.06 and 0.53 ± 0.05), the heritability of one component (0.53 ± 0.15), and environmental associations with wind chill index (−0.63 ± 0.13), and day length (−0.66 ± 0.19). We discuss these results in relation to previous work, showing that our methods of measurement and analysis are capable of revealing the daily patterns of behaviour in sheep and how these are influenced by the physical environment and genetics. This approach can be generalised to assess behavioural phenotypes and the determinants of behaviour in other breeds or species.

ЧИСЛЕННОЕ МОДЕЛИРОВАНИЕ ВРЕМЕННЫХ РЯДОВ БИОКЛИМАТИЧЕСКИХ ИНДЕКСОВ В АРКТИЧЕСКОЙ ЗОНЕ РОССИЙСКОЙ ФЕДЕРАЦИИ НА ОСНОВЕ СТОХАСТИЧЕСКОГО “ГЕНЕРАТОРА ПОГОДЫ”

The paper proposes an approach to the numerical stochastic modeling of the time series of the wind chill index and equivalent effective temperature at weather stations located in the Arctic zone of the Russian Federation. The approach is based on the use of a specially designed stochastic weather generator. It is shown that the approach allows developing the models of the time series of bioclimatic indices that very accurately reproduce various statistical properties of real processes related, in particular, to their daily variations and specific features of the study area.

Climatic and bioclimatic conditions at high-altitude meteorological stations in the Carpathian Mountains and the Sudetes in years 2005–2022

The subject of the analysis were the climatic and bioclimatic conditions of the mountainous areas in Central Europe from 2005 to 2022. The study was conducted based on meteorological data from 4 stations located in 2 mountain ranges in Central Europe, which were obtained from the Ogimet database. The analysis examined the course of mean air temperature, winter days, precipitation, snow cover, wind speed, horizontal visibility, as well as the number of days with thunderstorms and fog. Subsequently, bioclimatic indices were analyzed based on the wind chill index (WCI) and the climate severity index by Osokin (So). The results confirm an increase in mean air temperature and a decrease in the number of winter days. The most significant change in mean annual air temperature was recorded at the Carphatian stations: Varful Omu (0.59 °C/10 years) and Łomnica (0.49 °C/10 years). The largest change in the WCI value was recorded at the Carpathian station Varful Omu (51 W/m2 /10 years), while the So index was 1.4/10 years.

Predicting survival time for cold exposure by thermoregulation modeling

BackgroundExtreme temperatures are becoming increasingly common due to global warming. Extreme cold and heat events lead to an increase in mortality rates. More deaths occur in cold weather as a result of hypothermia. However, the change progress of body core temperature and the survival time during cold exposure has yet to be extensively studied. ObjectivesTo establish a mathematical thermoregulatory model for prolonged cold air exposure and to propose a method for predicting survival time under sedentary conditions. MethodsWe extended the classical multi-segment multi-node human thermoregulatory model by considering the effects of thermoregulatory fatigue on shivering and vasoconstriction based on the variable setpoint theory. The core threshold temperatures and the sensitivity of the responses decreased with the degree of fatigue (fa). The model was then used to systematically examine the effects of environmental parameters on the time course of body core temperature in the development of fatal hypothermia. A new wind chill index was constructed based on the simulated data of our thermoregulatory model to estimate the survival time. ResultsOur extended thermoregulatory model predicted that during prolonged cold air exposures, body core temperature would decrease in three distinct stages: an initial decrease due to uncompensated cooling load, an equilibrium plateau due to shivering, and a final rapid drop due to thermoregulatory fatigue. Fatal hypothermia occurred at the third stage due to impaired shivering and vasoconstriction caused by fatigue. Lower air temperature and higher air speed can accelerate the occurrence of hypothermia. We proposed a predictive equation for survival time, i.e., the maximum endurance time before fatal hypothermia occurs, which is an exponential function of the wind chill index, and the newly defined wind chill index considers the contribution from both air temperature and air speed. ConclusionsWe suggest a new thermoregulatory model to predict the fatal hypothermia due to thermoregulatory fatigue during cold air exposure. We proposed a survival time chart based on a new wind chill index, which can be used to alert the early risk of fatal hypothermia during extreme cold events.

Relationship between wool cortisol, wool quality indices of Australian Merino rams and climatic variables in Tasmania

IntroductionAustralia is the world’s largest producer and exporter of fine wool. External factors (i.e., non-genetic) that affect wool phenotype need to be identified and managed to minimize any negative effects on wool quality. Climatic stress is one external event that can affect wool phenotype, other stressors include shearing, nutrition, disease, pregnancy, and lambing. This study focuses on the relationship between Saxon Merino ram wool phenotype and wool cortisol. The hypotheses had two parts (i) wool cortisol levels would vary seasonally and variations would correlate with wool phenotype (ii) that these seasonal variations would also correlate with thermal indices.MethodsCortisol levels in Saxon Merino ram wool samples were determined using a cortisol enzyme-immunoassay (EIA) using polyclonal cortisol antibody. The wool cortisol results were correlated for significance with thermal indices including Temperature Humidity Index [THI] and Chill Index [CI] obtained from the Australian Bureau of Meteorology.ResultsPart 1 of hypothesis one was supported with wool cortisol showing significant seasonal variation. Part 2 of hypothesis 1 was not supported, with no statistically significant causality present between total wool cortisol levels and the price index of Saxon Merino ram wool. However, there was significant causality between wool cortisol and coarse edge measurement (CEM) of wool. Hypothesis 2, the proposal that thermal indices would impact on wool cortisol was also not supported.DiscussionIt can be concluded that although conclusive causality between total wool cortisol and wool phenotype quality could not be ascertained, there were indirect effects of cortisol levels on wool phenotypes with significant effects on the CEM. The CEM of Merino Saxon ram wool can be manipulated by assessing and managing cortisol levels during the growth cycles of Merino wool, through appropriate nutrition and husbandry procedures stress could be managed.

Problems and opportunities for biometeorological assessment of conditions cold season

The article is devoted to a discussion of the possibilities of biometeorological assessment of the severity of weather conditions during the cold season. The relevance of the study is ensured not only by the fact that residents of a number of states, whose total number is more than 27 million people, live in these extreme climatic conditions, but also by the need to improve biometeorological approaches to assessing the impact of these conditions on the body and health of the population. This study examined biometeorological characteristics that illustrate a measure of cold stress. These include the Siple wind-chill index; Bodman winter severity index; Arnoldi weather hardness coefficient; Mountain wind chill index; weather hardness coefficient according to I.M. Osokin. The results of a comparison of winter severity assessments based on the values of the calculated Siple and Bodman indices made it possible to establish that the Bodman index is more acceptable when assessing mildly severe winters. The most adequate for assessing the "severity" of the cold period against the background of a decrease in air temperature and an increase in wind speed is the Siple index. The need to provide the countries of the world with high-quality hydrometeorological and biometeorological forecast information is justified and relevant. In this regard, these studies are very promising.

Hotspot movement of compound events on the Europe continent

Climate indices are often used as a climate monitoring tool, allowing us to understand how the frequency, intensity, and duration of extreme weather events are changing over time. Here, based on complex statistical analysis we identify highly correlated significant pairs of compound events at the highest spatial resolution, on a monthly temporal scale across Europe. Continental-scale monthly analysis unleashes information on compound events such as high-risk zones, hotspots, monthly shifts of hotspots and trends, risk exposure to land cover and population, and identification of maximum increasing trends. While there are many studies on single or compound climate extremes there are only a few studies that addresses the relationship between pairs of hazards, the incorporation of bioclimatic indices, the determination of a grid best-fit copula approach, and the outlining relevance of this work of compound event risks with exposures. In this respect, here, using 27-bivariate and 10-trivariate copula models, we show that the different hazard pairs have high combined risks of indices related to radiation, temperature, evapotranspiration, bioclimatic-based indices, such as the universal thermal climate index, wind chill index, and heat index, mainly over the northern and eastern European countries. Furthermore, we show that over the last 7 decades, agricultural and coastal areas are highly exposed to the risks of defined hotspots of compound events. In some of the hotspots of compound events-identified by clusters, there is no monthly shifts of hotspots, leading to higher impacts when compounded. Future work needs to integrate the framework and process to identify other compound pairs.

Validating an advanced smartphone application for thermal advising in cold environments

The ClimApp smartphone application was developed to merge meteorological forecast data with personal information for individualized and improved thermal warning during heat and cold stress and for indoor comfort in buildings. For cold environments, ClimApp predicts the personal thermal stress and strain by the use of the Insulation REQuired model that combines weather and personal physiological data with additional consideration of the Wind Chill index based on the local weather forecast. In this study, we validated the individualized ClimApp index relative to measurements and compared it with the Universal Temperature Climate Index (UTCI). To this aim, 55 participants (27 females) were exposed to at least 1 h in an outdoor environment of 10 °C or below (average 1.4 °C air temperature, 74.9% relative humidity, and 4.7 m/s air velocity) inputting their activity level and clothing insulation as instructed by ClimApp. The UTCI and ClimApp indices were calculated and compared to the participants’ perceived thermal sensation. The ClimApp index root mean square deviation (RMSD) was below the standard deviation of the perceived thermal sensation which indicates a valid prediction and the UTCI RMSD was higher than the standard deviation which indicates an invalid prediction. The correlation of ClimApp and UTCI to the perceived thermal sensation was statistically significant for both models.

Zigana kış turizm merkezinin termal konfor koşullarının kayakçılara ve ziyaretçilere göre belirlenmesi

Climatic conditions play a decisive role in the realization of tourism activities. This study aims to determine the thermal comfort conditions of the Zigana Winter Tourism Center (ZWTC) for skiers (active skiers) and visitors (wanderers). The study used hourly measurement data from the meteorology station at ZWTC. Thermal comfort conditions were determined with WCI (Wind Chill Index) from simple indices and MPET (Modified Physiologically Equivalent Temperature) indices from complex indices. As a result of the study, cold, risky conditions for skiers from November to March in the period from the 10th day of January to the 10th day of February are effective, while other days can be expressed as comfortable. It has been determined that the hours between 10:00 and 16:00 during the day are suitable. There are cold risks throughout the entire period for visitors who do not do any activity. It is recommended to consider this study for tourism activities in ZWTC.

Variability of biothermal conditions in the vicinity of the Polish Antarctic station in the South Shetlands, West Antarctica

There are nine year-round and 11 seasonal scientific stations in the South Shetland Islands, an area often visited by cruise ships and sailing yachts. Although this is the warmest part of Antarctica, the weather conditions may be demanding for humans. We analysed the variability of biothermal conditions near Henryk Arctowski Station Polish Antarctic Station, on King George Island, during the period 2013–2021, using the wind chill index (WCI), which combines air temperature and wind speed, to determine thermal sensation. WCI values were interpreted using two cold sensation categorisations. Hourly WCI values were assigned to thermal sensation classes that ranged from “comfortable” to “frosty.” The most favourable biothermal conditions occurred from December to February. The “cold” sensation was dominant in all months, its average occurrence frequency ranging from 56.4% (in January) to 84.4% (in July). From November to March, there was no risk of frostbite to uncovered body parts. Such conditions occurred only from April to October, with a frequency of 0.2–6.8%; biothermal conditions were also the most variable in this period. Maximal WCI hourly values show that dangerous weather conditions may occur throughout the day in June and for most of the day from July to September. An abrupt change in biothermal conditions was more often caused by wind speed change than by air temperature change. The most marked WCI changes occurred from April to September, on average five times per year. Our results indicate that biothermal conditions in the vicinity of Arctowski Station are predominantly favourable for outdoor work only if a person wears proper winter clothing.

Spatiotemporal trend analysis of climate indices for the European continent

Abstract The objective of this study is to analyze and visualize the spatial distribution of trends for 74 climate indices on a monthly time-scale in direction, magnitude, and significance level at a resolution of 0.1° during the period of 1950–2021 over the European region. The Mann–Kendall and Sen's slope estimators reveal that growing degree days with mean air temperature >4 °C (gd4) and heating degree days with mean air temperature <17 °C (hd17) show the largest increase (0.93 °C August) and decrease (1.03 °C July), respectively. The universal thermal climate index (utci), relative humidity (rh), wind chill index (wci), global radiation (bio20), and potential evapotranspiration (pet) are of significant importance due to higher correlation and magnitude of change. Country-specific zoning shows the highest warmer days during August experienced by Bosnia and Herzegovina (southeastern Europe) and lower colder days during January by Belarus (eastern Europe). High wind and high utci were experienced by Liechtenstein (southeastern Europe) region during July. The highest wci was experienced by San Marino (southern Europe) in June and Portugal (southern Europe) in March. Bio20 and rh decline were experienced by Russia (eastern Europe) and Moldova (southeastern Europe) in May and September, respectively. Results are useful to mitigate the risk associated with each of the climate indices for specific European regions.

Evaluation of Climatic Comfort and its Role in Tourist Attractions in Sulaymaniyah Governorate

Human health and discomfort are influenced by many different environmental conditions that have a direct impact on human feeling, although different research has been attempted to find a suitable solution for it, but still considered as a major obstacle due to the differences in atmospheric elements from one region to another, as well as the differences in the human body›s ability to feel comfortable or uncomfortable in person to person according to different regions. Using temperature and humidity index (THI) Temperature Humidity Indexand air-cooling index (K) Wind chill index and their effect on human peace and tourists visiting Sulaimani province. this research consists of two main axes, the first one is e the atmospheric elements effective on human comfort in the research area, and the second axis is about the effect of atmospheric stability on attracting tourists to the researched area, as this area is known for its low temperatures, especially in winter, as it reaches in some parts to zero Celsius, for instance in Penguin region, which leads to snowfall. This area can be used as a tourist area in winter. In addition to the low temperatures in summer, especially in mountainous areas, this will attract a large number of tourists to the research area, so efforts should be made to provide more services to the tourist areas in a way that tourists do not feel uncomfortable in the surrounding environment and in a way that is compatible with the nature of the area.

Hypothermia Progression Time Course for Evacuation Planning

Introduction:Accidental hypothermia occurs very rarely. Japan experienced hypothermic victims in the 2011 earthquake and tsunami disaster. In northern Japan, where the largest class of earthquakes and tsunamis are estimated, study for countermeasures has been advanced. The progression of hypothermia varies significantly by individual differences and environmental factors, and it is considered to be challenging to assess its damage. We present the findings that can be the basis for damage estimation from the data of hypothermia victims experienced in mountain rescue.Method:From 2002 to 2020, we examined ten fatal cases of hypothermic witnessed respiratory arrest (HWRA) by companions, which led to subsequent cardiac arrest among 164 cases from mountain rescue. We collected the time course of the deceased from rescue records and calculated the time from cold exposure to symptom, exposure to incapable, and exposure to HWRA. Temperature and wind speed data were extrapolated from nearby AMEDAS and upper-air weather records, and the wind chill index (WCI) was calculated.Results:We obtained the time course data in seven cases of ten, five males and two females between 21 and 67 years old. The weather conditions where the seven cases were placed were -5 to -30°C of WCI. The shortest time from cold exposure to incapacity was 65 minutes, 42.9% (3/7) within 180 minutes, and the fastest time to HWRA was 90 minutes, with 57.1% (4/7) between 10 and 12 and half hours.Conclusion:For disaster evacuation measures, both evacuees and rescuers need specific indicators to refer to. From very little but valuable data, we consider that rescue within 10 hours is necessary for lifesaving in similar conditions. Additionally, increasing the number of cases that become incapacitated within 1-3 hours can be valuable information for considering the location of the evacuation shelter and evacuation plan.

Changes in complex bioclimatic indicators in Crimea since the middle of the 20th century

BACKGROUND: Observed global climate changes can significantly influence on the regional climate anomalies and recreational conditions over the Crimean peninsula.
 AIM: To study the features of complex bioclimatic indicators changes on the territory of Crimea over a multidecadal period (~70 years), paying special attention to each month of the year, and on bases of obtained results to show the possible way of recreational activities development associated with these changes.
 METHODS: For calculations, we used daily hydrometeorological data for each month from the archive of observations at the network of European weather stations E-OBS (v. 17.0) from 22 stations and NCEP/NCAR R1 reanalysis for the period of 19502018. The obtained arrays were verified in accordance with an open database of standard daily station observations in Crimea in 20052018. To assess the impact of climate change on the human body, the equivalent effective temperature, normal equivalent effective temperature, weight content of oxygen in the air (partial oxygen density) (O2), wet wind chill index Hill (Hw) and index Bodmann dry wind chiller (S) were calculated. The features of their linear trends for each month in the Crimean Peninsula were analysed.
 RESULTS: Monthwise analyses of the bioclimatic indicator trends demonstrated an increase or decrease in recreational comfort in certain seasons. The most pronounced positive normal equivalent effective temperature trends over Crimea were observed from winter to spring. This indicated improved complex recreational conditions in recent decades and the possibility to extend the duration of the holiday season. The pO2, Hw and S indices had opposite tendencies throughout the year (except for December). According to the pO2 index, in the period from August to October, a physiological oxygen deficiency may be experienced throughout Crimea. Windy and uncomfortable bioclimatic conditions tend to increase in the steppes of Crimea in December.
 CONCLUSION: The patterns of changes in bioclimatic indicators revealed through this study can be used as a regulatory factor for effectively organising and conducting recreational activities in the territory of Crimea and thus ensure the duration of the recreational period.

Stochastic models of bioclimatic indices time series in the Arctic zone of the Russian Federation

In this paper, an approach to the numerical stochastic simulation of time series of two bioclimatic indices (wind chill index and the equivalent-effective temperature) at weather stations located in the Arctic zone of the Russian Federation is considered. The approach is based on the use of so-called “defining formulas”. On the basis of the considered approach, stochastic models of the time series of the considered bioclimatic indices were constructed, numerically implemented and verified. The models are developed on the assumption that the real bioclimatic processes are periodically correlated. The use of this assumption makes it possible to take into account the daily variation of the real processes. We also use the assumption that the real series of the wind chill index and the equivalent-effective temperature are non-Gaussian. To simulate non-stationary non-Gaussian time series, the method of inverse distribution functions is applied. The results of verification of the developed stochastic models showed that many statistical characteristics of simulated trajectories are close to the corresponding characteristics of the real series.

Development of a numerical stochastic model of joint spatio-temporal fields of weather parameters for the south part of the Baikal natural territory

Abstract The paper is focused on the construction of a numerical stochastic model of the joint spatio-temporal fields of air temperature, wind speed vector with three-hour resolution, and semidiurnal precipitation amounts according to observation data at a group of weather stations located in the south of the Baikal natural territory. The model also takes into account the dependence of one-dimensional distributions on temporal and spatial coordinates. The heterogeneity of the field in spatial correlations and the periodical correlation in time are also taken into account. The results of calculations for verification of the model are presented. An example of using the developed model to study the properties of time series of the wind chill index is given.

Multi-week prediction of livestock chill conditions associated with the northwest Queensland floods of February 2019

The compound extreme weather event that impacted northern Queensland in February 2019 featured record-breaking rainfall, persistent high wind gusts and relatively cold day-time temperatures. This caused livestock losses numbering around 500,000 in the northwest Queensland Gulf region. In this study, we examine the livestock chill conditions associated with this week-long compound weather event and its potential for prediction from eleven world-leading sub-seasonal to seasonal (S2S) forecast systems. The livestock chill index combines daily rainfall, wind and surface temperature data. Averaged over the event week, the potential heat loss of livestock was in the moderate to high category, with severe conditions on the day of peak rainfall (5 February). Using calibrated forecasts from the Bureau of Meteorology's S2S forecast system, ACCESS-S1, a 1-week lead prediction showed a 20–30% probability of extreme livestock chill conditions over the northwest Queensland Gulf region, however the highest probabilities were located to the west of where the greatest livestock impacts were observed. Of the remaining ten S2S systems, around half predicted a more than 20% chance of extreme conditions, more than twice the climatological probability. It appears that the prediction accuracy arose from the skilful forecasts of extreme rainfall, as opposed to cold day-time temperature and strong wind forecasts. Despite a clear association between the observed extreme weather conditions and an active Madden–Julian Oscillation (MJO) event stalling in the western Pacific, the majority of 1-week lead S2S forecasts showed little indication of a slow-down in the MJO. As the livestock chill index was developed for southern Australian sheep, it may not be the best metric to represent the effects of exposure on tropical cattle breeds. Hence, this study draws attention to the need for tailored diagnostics that better represent the cold effects of summer tropical cyclones and tropical depressions on northern Australian livestock.