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Journal articles on the topic 'Daily temperature range (DTR)'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Thrasher, B., E. P. Maurer, C. McKellar, and P. B. Duffy. "Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping." Hydrology and Earth System Sciences 16, no. 9 (2012): 3309–14. http://dx.doi.org/10.5194/hess-16-3309-2012.

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Abstract. When applying a quantile mapping-based bias correction to daily temperature extremes simulated by a global climate model (GCM), the transformed values of maximum and minimum temperatures are changed, and the diurnal temperature range (DTR) can become physically unrealistic. While causes are not thoroughly explored, there is a strong relationship between GCM biases in snow albedo feedback during snowmelt and bias correction resulting in unrealistic DTR values. We propose a technique to bias correct DTR, based on comparing observations and GCM historic simulations, and combine that wit

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2

Thrasher, B. L., E. P. Maurer, C. McKellar, and P. B. Duffy. "Technical Note: Bias correcting climate model simulated daily temperature extremes with quantile mapping." Hydrology and Earth System Sciences Discussions 9, no. 4 (2012): 5515–29. http://dx.doi.org/10.5194/hessd-9-5515-2012.

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Abstract. When applying a quantile-mapping based bias correction to daily temperature extremes simulated by a global climate model (GCM), the transformed values of maximum and minimum temperatures are changed, and the diurnal temperature range (DTR) can become physically unrealistic. While causes are not thoroughly explored, there is a strong relationship between GCM biases in snow albedo feedback during snowmelt and bias correction resulting in unrealistic DTR values. We propose a technique to bias correct DTR, based on comparing observations and GCM historic simulations, and combine that wit

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3

Liu, Binhui, Ming Xu, Mark Henderson, Ye Qi, and Yiqing Li. "Taking China's Temperature: Daily Range, Warming Trends, and Regional Variations, 1955–2000." Journal of Climate 17, no. 22 (2004): 4453–62. http://dx.doi.org/10.1175/3230.1.

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Abstract In analyzing daily climate data from 305 weather stations in China for the period from 1955 to 2000, the authors found that surface air temperatures are increasing with an accelerating trend after 1990. They also found that the daily maximum (Tmax) and minimum (Tmin) air temperature increased at a rate of 1.27° and 3.23°C (100 yr)−1 between 1955 and 2000. Both temperature trends were faster than those reported for the Northern Hemisphere, where Tmax and Tmin increased by 0.87° and 1.84°C (100 yr)−1 between 1950 and 1993. The daily temperature range (DTR) decreased rapidly by −2.5°C (1

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4

Pyrgou, Andri, Mattheos Santamouris, and Iro Livada. "Spatiotemporal Analysis of Diurnal Temperature Range: Effect of Urbanization, Cloud Cover, Solar Radiation, and Precipitation." Climate 7, no. 7 (2019): 89. http://dx.doi.org/10.3390/cli7070089.

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High daily temperatures in the Mediterranean and Europe have been documented in observation and modeling studies. Long-term temperature data, from 1988 to 2017, from a suburban station and an urban station in Nicosia, Cyprus have been analyzed, and the diurnal temperature range (DTR) trend was investigated. The seasonal Mann–Kendall test revealed a decreasing DTR trend of −0.24 °C/decade at the urban station and −0.36 °C/decade at the suburban station, which were attributed to an increase in the daily minimum temperature. Variations in precipitation, longwave radiation, ultraviolet-A (UVA), ul

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5

Wang, Kang, and Gary D. Clow. "The Diurnal Temperature Range in CMIP6 Models: Climatology, Variability, and Evolution." Journal of Climate 33, no. 19 (2020): 8261–79. http://dx.doi.org/10.1175/jcli-d-19-0897.1.

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AbstractThe diurnal temperature range (DTR) is an identifiable and sensitive indicator of the synchronicity of changes in diurnal temperature extrema, but capturing DTR dynamics is challenging for climate models. This study investigates the climatology, variability, and changes of DTR in recent models participating in phase 6 of the Coupled Model Intercomparison Project (CMIP6). The results show that the CMIP6 models underestimate DTR climatology relative to observations. Most individual models overestimate December–February variability, particularly at high latitudes of the Northern Hemispher

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6

Beule, Lukas, and Sarintip Tantanee. "The Relationship between Diurnal Temperature Range (DTR) and Rainfall over Northern Thailand." Advanced Materials Research 931-932 (May 2014): 614–18. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.614.

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Since 1950, it has been found that the global diurnal temperature range (DTR), the difference between the minimum temperature (Tmin) and the maximum temperature (Tmax) of daily surface air temperature, has been temporally decreasing in several places all over the world. The aim of this study is to investigate the effect of DTR on the amount of total monthly rainfall (TRF) and the number of rainy days per month (RD), as well as to evaluate the possibility of using DTR as a parameter in the rainfall prediction process. The study area is in northern Thailand, which covers about one third of the t

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McGregor, Bethany L., Joan L. Kenney, and C. Roxanne Connelly. "The Effect of Fluctuating Incubation Temperatures on West Nile Virus Infection in Culex Mosquitoes." Viruses 13, no. 9 (2021): 1822. http://dx.doi.org/10.3390/v13091822.

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Temperature plays a significant role in the vector competence, extrinsic incubation period, and intensity of infection of arboviruses within mosquito vectors. Most laboratory infection studies use static incubation temperatures that may not accurately reflect daily temperature ranges (DTR) to which mosquitoes are exposed. This could potentially compromise the application of results to real world scenarios. We evaluated the effect of fluctuating DTR versus static temperature treatments on the infection, dissemination, and transmission rates and viral titers of Culex tarsalis and Culex quinquefa

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8

YIN, FEI, YUE MA, XING ZHAO, et al. "The association between diurnal temperature range and childhood hand, foot, and mouth disease: a distributed lag non-linear analysis." Epidemiology and Infection 145, no. 15 (2017): 3264–73. http://dx.doi.org/10.1017/s0950268817002321.

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SUMMARYIn recent years, hand, foot, and mouth disease (HFMD) has been increasingly recognized as a critical challenge to disease control and prevention in China. Previous studies have found that meteorological factors such as mean temperature and relative humidity were associated with HFMD. However, little is known about whether the diurnal temperature range (DTR) has any impact on HFMD. This study aimed to quantify the impact of DTR on childhood HFMD in 18 cities in Sichuan Province. A distributed lag non-linear model was adopted to explore the temporal lagged association of daily temperature

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9

Meng, Lei, and Yanjun Shen. "On the Relationship of Soil Moisture and Extreme Temperatures in East China." Earth Interactions 18, no. 1 (2014): 1–20. http://dx.doi.org/10.1175/2013ei000551.1.

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Abstract Soil moisture conditions affect energy partitioning between sensible and latent heat fluxes, resulting in a change in surface temperatures. In this study, the relationships between antecedent soil moisture conditions [as indicated by the 6-month standardized precipitation index (SPI)] and several temperature indices are statistically quantified using the quantile regression analysis across East China to investigate the influence of soil moisture on summer surface temperatures. These temperature indices include percentage of hot days (%HD), heat-wave duration (HWD), daily temperature r

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Gilford, Daniel M., Shawn R. Smith, Melissa L. Griffin, and Anthony Arguez. "Southeastern U.S. Daily Temperature Ranges Associated with the El Niño–Southern Oscillation." Journal of Applied Meteorology and Climatology 52, no. 11 (2013): 2434–49. http://dx.doi.org/10.1175/jamc-d-12-0273.1.

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AbstractThe daily temperature range (DTR; daily maximum temperature minus daily minimum temperature) at 290 southeastern U.S. stations is examined with respect to the warm and cold phases of the El Niño–Southern Oscillation (ENSO) for the period of 1948–2009. A comparison of El Niño and La Niña DTR distributions during 3-month seasons is conducted using various metrics. Histograms show each station’s particular distribution. To compare directly the normalized distributions of El Niño and La Niña, a new metric (herein called conditional ratio) is produced and results are evaluated for significa

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Lam, Cho Kwong Charlie, Margaret Loughnan, and Nigel Tapper. "An Exploration of Temperature Metrics for Further Developing the Heat-Health Weather Warning System in Hong Kong." ISRN Atmospheric Sciences 2013 (January 14, 2013): 1–9. http://dx.doi.org/10.1155/2013/930238.

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Background. The current weather warning system aims to reduce mortality from heat and cold stress but still has room to be improved in terms of incorporating other temperature metrics. The aim of this study is to determine how extreme temperature affects mortality in Hong Kong. Methods. An ecological study was used; daily weather data were subdivided into seven temperature metrics. Daily detrended mortality data were stratified by disease groups and analysed using seven different metrics for temperature. The temperature metrics were then compared. Results. A diurnal temperature range (DTR) of

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12

Du, Jizeng, Kaicun Wang, Jiankai Wang, Shaojing Jiang, and Chunlüe Zhou. "Diurnal Cycle of Surface Air Temperature within China in Current Reanalyses: Evaluation and Diagnostics." Journal of Climate 31, no. 11 (2018): 4585–603. http://dx.doi.org/10.1175/jcli-d-17-0773.1.

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Abstract Diurnal cycle of surface air temperature T is an important metric indicating the feedback of land–atmospheric interaction to global warming, whereas the ability of current reanalyses to reproduce its variation had not been assessed adequately. Here, we evaluate the daily maximum temperature Tmax, daily minimum temperature Tmin, and diurnal temperature range (DTR) in five reanalyses based on observations collected at 2253 weather stations over China. Our results show that the reanalyses reproduce Tmin very well; however, except for Modern-Era Retrospective Analysis for Research and App

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13

Jung, Young-Ho, JunHyeok Kim, Chung-Youl Park, Hee-Seung Park, and YoSup Park. "Improving Restoration Efficiency by Modeling Optimal Sowing Periods: A Case Study of Two Native Plants and Restoration of a Site." Plants 10, no. 8 (2021): 1506. http://dx.doi.org/10.3390/plants10081506.

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Efficient ecological restoration techniques are urgently required to minimize seed consumption and labor requirements. Here, we determined the optimal sowing period for two native species, Agastache rugosa (Korean mint) and Astilbe rubra (False goat’s beard), toward their use for ecological restoration of Mt. Gariwang, a site damaged by the 2018 PyeongChang Winter Olympics’ activities. We investigated the effects of daily mean temperature (DMT) and daily temperature range (DTR) on seed germination percentage, which decreased for both species with decreasing DTR and was optimal at a DMT of 25 °

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14

Won, Sung Hun, Hyung-Jin Chung, Jinyoung Lee, et al. "Diurnal Temperature Ranges in Relation to Lower Limb Amputation Rate of Diabetic Foot in South Korea: A Population Based Nationwide Study." International Journal of Environmental Research and Public Health 18, no. 17 (2021): 9191. http://dx.doi.org/10.3390/ijerph18179191.

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The evidence for the association between diurnal temperature range (DTR) and diabetic foot amputations is limited. We aimed to investigate the region-specific association between DTR and the amputation rate of diabetic foot in Korean national-wide data. Daily data on DTR and the rate of diabetic foot amputations from 16 provincial capital cities in Korea were obtained (2011–2018). In this study, the latitude ranged from 33°11′ N to 38°61′ N, and we classified each region according to latitude. Region 1, which was located at a relatively high latitude, included Seoul, Incheon, Gyeonggi-do, and

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15

Skaggs, Kari E., and Suat Irmak. "Long-Term Trends in Air Temperature Distribution and Extremes, Growing Degree‐Days, and Spring and Fall Frosts for Climate Impact Assessments on Agricultural Practices in Nebraska." Journal of Applied Meteorology and Climatology 51, no. 11 (2012): 2060–73. http://dx.doi.org/10.1175/jamc-d-11-0146.1.

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AbstractAir temperature influences agricultural practices and production outcomes, making detailed quantifications of temperature changes necessary for potential positive and negative effects on agricultural management practices to be exploited or mitigated. Temperature trends of long-term data for five agricultural locations, ranging from the subhumid eastern to the semiarid western parts of Nebraska, were studied to determine local temperature changes and their potential effects on agricultural practices. The study quantified trends in annual and monthly average maximum and minimum air tempe

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16

Xu, Qinqin, Runzi Li, Shannon Rutherford, et al. "Using a distributed lag non-linear model to identify impact of temperature variables on haemorrhagic fever with renal syndrome in Shandong Province." Epidemiology and Infection 146, no. 13 (2018): 1671–79. http://dx.doi.org/10.1017/s095026881800184x.

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AbstractHaemorrhagic fever with renal syndrome (HFRS) is transmitted to humans mainly by rodents and this transmission could be easily influenced by meteorological factors. Given the long-term changes in climate associated with global climate change, it is important to better identify the effects of meteorological factors of HFRS in epidemic areas. Shandong province is one of the most seriously suffered provinces of HFRS in China. Daily HFRS data and meteorological data from 2007 to 2012 in Shandong province were applied. Quasi-Poisson regression with the distributed lag non-linear model was u

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17

ZHENG, H. F., L. D. CHEN, and X. Z. HAN. "The effects of global warming on soybean yields in a long-term fertilization experiment in Northeast China." Journal of Agricultural Science 147, no. 5 (2009): 569–80. http://dx.doi.org/10.1017/s002185960900879x.

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SUMMARYUnderstanding how crop systems might respond to recent climate change is fundamental to the successful adaptation of efforts for sustainable agriculture. In the present paper, records over the period 1987–2004 from a long-term agroecosystem experiment carried out in Northeast China were used to explore the impacts of global warming on soybean (Glycine max (L) Merr.) yields under different controlled fertilization treatments. The results indicated that soybean yields were closely related to growing season temperatures. In most fertilization treatments, soybean yields showed a significant

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18

Chen, Guang, Minjie He, Nan Li, Hao He, Yunnan Cai, and Senlin Zheng. "A Method for Selecting the Typical Days with Full Urban Heat Island Development in Hot and Humid Area, Case Study in Guangzhou, China." Sustainability 13, no. 1 (2020): 320. http://dx.doi.org/10.3390/su13010320.

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The urban heat island (UHI) poses a significant threat to urban ecosystems, human health, and urban energy systems. Hence, days with a relatively higher UHI intensity should be selected for UHI observation and analysis. However, there is still a lack in the method and criteria for selecting the typical meteorological days for UHI survey and simulation. In this study, field measurements were conducted based on Local Climate Zone (LCZ) schemes over a one-year period to assess the UHI behavior in Guangzhou, China. The relationship between the diurnal temperature range (DTR) and UHI intensity was

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Caloiero, Tommaso, and Ilaria Guagliardi. "Temporal Variability of Temperature Extremes in the Sardinia Region (Italy)." Hydrology 7, no. 3 (2020): 55. http://dx.doi.org/10.3390/hydrology7030055.

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In this paper, the temporal tendencies of temperature data from the island of Sardinia (Italy) were analyzed by considering 48 data series in the period 1982–2011. In particular, monthly temperatures (maximum and minimum), and some indices of daily extremes were evaluated and tested to detect trends using the Mann-Kendall non-parametric test. Results showed a positive trend in the spring months and a marked negative trend in the autumn-winter months for minimum temperatures. As regards maximum temperatures, almost all months showed positive trends, although an opposite behavior was detected in

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20

Maqsood, Junaid, Aitazaz A. Farooque, Xander Wang, Farhat Abbas, Bishnu Acharya, and Hassan Afzaal. "Contribution of Climate Extremes to Variation in Potato Tuber Yield in Prince Edward Island." Sustainability 12, no. 12 (2020): 4937. http://dx.doi.org/10.3390/su12124937.

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Agricultural management practices are responsible for almost two-thirds of the variations in potato tuber yield. In order to answer the research question about the remaining variability of the tuber yield, we hypothesized that climate extremes partly explain the missing component of variations of the tuber yield. Therefore, this research attempts to bridge this knowledge gap in order to generate a knowledge base for future strategies. A climate extreme dataset of the Prince Edward Island (PEI) was computed by averaging the data of five meteorological stations. In detail, changing patterns of 2

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Zhou, Junju, Jumei Huang, Xi Zhao, et al. "Changes of Extreme Temperature and Its Influencing Factors in Shiyang River Basin, Northwest China." Atmosphere 11, no. 11 (2020): 1171. http://dx.doi.org/10.3390/atmos11111171.

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The increase in the frequency and intensity of extreme weather events around the world has led to the frequent occurrence of global disasters, which have had serious impacts on the society, economic and ecological environment, especially fragile arid areas. Based on the daily maximum temperature and daily minimum temperature data of four meteorological stations in Shiyang River Basin (SRB) from 1960 to 2015, the spatio-temporal variation characteristics of extreme temperature indices were analyzed by means of univariate linear regression analysis, Mann–Kendall test and correlation analysis. Th

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Li, Zhang, Qi, Wang, Liu, and Ding. "No Significant Shift of Warming Trend over the Last Two Decades on the Mid-South of Tibetan Plateau." Atmosphere 10, no. 7 (2019): 416. http://dx.doi.org/10.3390/atmos10070416.

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Climate warming on the Tibetan Plateau has been regarded as an important driving force of regional environmental change. Although several studies have analyzed the shift of warming trends on this plateau within the context of a recent global warming “hiatus” since 1998, their disparate findings have hindered a comprehensive and regional understanding. Based on the daily mean temperature (Tmean), maximum temperature (Tmax), and minimum temperature (Tmin) collected from meteorological stations on the period of 1961–2017, we re-examined the timing and magnitude of temperature phase change using p

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Lebassi, Bereket, Jorge González, Drazen Fabris, et al. "Observed 1970–2005 Cooling of Summer Daytime Temperatures in Coastal California." Journal of Climate 22, no. 13 (2009): 3558–73. http://dx.doi.org/10.1175/2008jcli2111.1.

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Abstract This study evaluated 1950–2005 summer [June–August (JJA)] mean monthly air temperatures for two California air basins: the South Coast Air Basin (SoCAB) and the San Francisco Bay Area (SFBA). The study focuses on the more rapid post-1970 warming period, and its daily minima temperature Tmin and maxima temperature Tmax values were used to produce average monthly values and spatial distributions of trends for each air basin. Additional analyses included concurrent SSTs, 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) sea level coastal pressure gradi

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El Kenawy, A., J. I. López-Moreno, and S. M. Vicente-Serrano. "Recent trends in daily temperature extremes over northeastern Spain (1960–2006)." Natural Hazards and Earth System Sciences 11, no. 9 (2011): 2583–603. http://dx.doi.org/10.5194/nhess-11-2583-2011.

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Abstract. Spatial and temporal characteristics of extreme temperature events in northeastern Spain have been investigated. The analysis is based on long-term, high-quality, and homogenous daily maximum and minimum temperature of 128 observatories spanning the period from 1960 to 2006. A total of 21 indices were used to assess changes in both the cold and hot tails of the daily temperature distributions. The presence of trends in temperature extremes was assessed by means of the Mann-Kendall test. However, the autocorrelation function (ACF) and a bootstrap methodology were used to account for t

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Ren, Guoyu, and Yaqing Zhou. "Urbanization Effect on Trends of Extreme Temperature Indices of National Stations over Mainland China, 1961–2008." Journal of Climate 27, no. 6 (2014): 2340–60. http://dx.doi.org/10.1175/jcli-d-13-00393.1.

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Abstract Understanding the long-term change of extreme temperature events is important to the detection and attribution of climate change. It is unclear, however, how much effect urbanization has had on trends of the extreme temperature indices series constructed based on the commonly used datasets on a subcontinental scale. Applying a homogenized daily temperature dataset of the national reference climate stations and basic meteorological stations, and a rural station network previously developed, urbanization effects on trends of extreme temperature indices in mainland China for the time per

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Pyrgou, Andri, and Mattheos Santamouris. "Probability Risk of Heat- and Cold-Related Mortality to Temperature, Gender, and Age Using GAM Regression Analysis." Climate 8, no. 3 (2020): 40. http://dx.doi.org/10.3390/cli8030040.

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We have examined the heat and cold-related mortality risk subject to cold and heat extremes by using a generalized additive model (GAM) regression technique to quantify the effect of the stimulus of mortality in the presence of covariate data for 2007–2014 in Nicosia, Cyprus. The use of the GAM technique with multiple linear regression allowed for the continuous covariates of temperature and diurnal temperature range (DTR) to be modeled as smooth functions and the lag period was considered to relate mortality to lagged values of temperature. Our findings indicate that the previous three days’

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Qi, Li, and Yuqing Wang. "Changes in the Observed Trends in Extreme Temperatures over China around 1990." Journal of Climate 25, no. 15 (2012): 5208–22. http://dx.doi.org/10.1175/jcli-d-11-00437.1.

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Abstract Based on the daily temperature data from weather stations in China, linear trends of the seasonal mean and extreme temperatures in summer and winter are analyzed and compared for the periods of 1960–89 and 1990–2009. The results show prominent changes in those trends since the early 1990s, in particular in winter—a signal of climate shift as previously identified. The changes, however, are found to be strongly region dependent. In summer, both seasonal mean and extreme temperatures show a considerable cooling trend in central China and a warming trend in north and south China before 1

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Naveendrakumar, G., Meththika Vithanage, Hyun-Han Kwon, M. C. M. Iqbal, S. Pathmarajah, and Jayantha Obeysekera. "Five Decadal Trends in Averages and Extremes of Rainfall and Temperature in Sri Lanka." Advances in Meteorology 2018 (December 27, 2018): 1–13. http://dx.doi.org/10.1155/2018/4217917.

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In this study, we used a comprehensive set of statistical metrics to investigate the historical trends in averages and extremes of rainfall and temperature in Sri Lanka. The data consist of 55 years (1961–2015) of daily rainfall, maximum temperature (Tmax), and minimum temperature (Tmin) records from 20 stations scattered throughout Sri Lanka. The linear trends were analyzed using the nonparametric Mann–Kendall test and Sen–Theil regression. The prewhitening method was first used to remove autocorrelation from the time series, and the modified seasonal Mann–Kendall test was then applied for th

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White, Ian, Tingbao Xu, Jicai Zeng, et al. "Changing climate and implications for water use in the Hetao Basin, Yellow River, China." Proceedings of the International Association of Hydrological Sciences 383 (September 16, 2020): 51–59. http://dx.doi.org/10.5194/piahs-383-51-2020.

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Abstract. Balancing water allocations in river basins between upstream irrigated agriculture and downstream cities, industry and environments is a global challenge. The effects of changing allocations are exemplified in the arid Hetao Irrigation District on the Yellow River, one of China's three largest irrigation districts. Amongst the many challenges there, the impact of changing climate on future irrigation water demand is an underlying concern. In this paper we analyse trends in local climate data from the late 1950s and consider the implications for irrigation in the Basin. Since 1958, da

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Leeper, Ronald D., John Kochendorfer, Timothy A. Henderson, and Michael A. Palecki. "Impacts of Small-Scale Urban Encroachment on Air Temperature Observations." Journal of Applied Meteorology and Climatology 58, no. 6 (2019): 1369–80. http://dx.doi.org/10.1175/jamc-d-19-0002.1.

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AbstractA field experiment was performed in Oak Ridge, Tennessee, with four instrumented towers placed over grass at increasing distances (4, 30, 50, 124, and 300 m) from a built-up area. Stations were aligned in such a way to simulate the impact of small-scale encroachment on temperature observations. As expected, temperature observations were warmest for the site closest to the built environment with an average temperature difference of 0.31° and 0.24°C for aspirated and unaspirated sensors, respectively. Mean aspirated temperature differences were greater during the evening (0.47°C) than du

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Maniruzzaman, M., J. C. Biswas, M. B. Hossain, M. M. Haque, U. A. Naher, and N. Kalra. "Extreme Temperature Events and Rice Production in Bangladesh." Environment and Natural Resources Research 8, no. 4 (2018): 62. http://dx.doi.org/10.5539/enrr.v8n4p62.

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The extreme climatic events are increasing because of climate change impacts and thus likely to influence global agricultural production. Regional assessments on various abiotic factors and its influences on biological entities in diverse geographic locations are needed for understanding uncertainties. Rice grain yields and daily temperature data from 1971&ndash;2015 were used to quantify extreme temperature events in different regions of Bangladesh and their impacts on rice yields growing in three seasons of Bangladesh. The regional averaged trends in temperature extremes were consistent

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Lobell, David B., and Céline Bonfils. "The Effect of Irrigation on Regional Temperatures: A Spatial and Temporal Analysis of Trends in California, 1934–2002." Journal of Climate 21, no. 10 (2008): 2063–71. http://dx.doi.org/10.1175/2007jcli1755.1.

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Abstract The response of air temperatures to widespread irrigation may represent an important component of past and/or future regional climate changes. The quantitative impact of irrigation on daily minimum and maximum temperatures (Tmin and Tmax) in California was estimated using historical time series of county irrigated areas from agricultural censuses and daily climate observations from the U.S. Historical Climatology Network. Regression analysis of temperature and irrigation changes for stations within irrigated areas revealed a highly significant (p &lt; 0.01) effect of irrigation on

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Mahmud, Khalid, Susmita Saha, Tanvir Ahmad, and Ummay Saima Satu. "Historical trends and variability of temperature extremes in two climate vulnerable regions of Bangladesh." Journal of the Bangladesh Agricultural University 16, no. 2 (2018): 283–92. http://dx.doi.org/10.3329/jbau.v16i2.37984.

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Research on temperature extremes deserves more importance because it reacts sensitively to climate change. As elsewhere across the world, Bangladesh has already become a victim of temperature extremes. Hence, this study was conducted to assess the trends and variability of 11 temperature-related extreme indices based on daily maximum (TX) and daily minimum (TN) temperature recorded at Rajshahi and Barisal over the period 1976–2015. The indices were calculated on annual basis and their average annual and decadal trends were evaluated by non-parametric Mann-Kendall test and Sen’s slope estimate.

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Sakai, Mitsuo, Norma Brunetti, Marcela Ivanovic, Beatriz Elena, and Kazuyoshi Nakamura. "Interpretation of statolith microstructure in reared hatchling paralarvae of the squid Illex argentinus." Marine and Freshwater Research 55, no. 4 (2004): 403. http://dx.doi.org/10.1071/mf03148.

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To identify sub-daily or aperiodic increments of statolith growth in the ommastrephid squid Illex argentinus, we examined statolith microstructure, especially with regard to the natal ring, where counting of daily growth increments should begin, and the widths of subsequent daily increments. Paralarvae obtained by artificial fertilisation were incubated on board at different temperatures ranging from 11.4 to 25.4°C, and were starved throughout the experiments. We observed statolith growth from newly hatched to 10-day-old paralarvae and used alizarine complexone staining to attempt validation o

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Dietmüller, Simone, Michael Ponater, Robert Sausen, Klaus-Peter Hoinka, and Susanne Pechtl. "Contrails, Natural Clouds, and Diurnal Temperature Range." Journal of Climate 21, no. 19 (2008): 5061–75. http://dx.doi.org/10.1175/2008jcli2255.1.

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Abstract The direct impact of aircraft condensation trails (contrails) on surface temperature in regions of high aircraft density has been a matter of recent debate in climate research. Based on data analysis for the 3-day aviation grounding period over the United States, following the terrorists’ attack of 11 September 2001, a strong effect of contrails reducing the surface diurnal temperature range (DTR) has been suggested. Simulations with the global climate model ECHAM4 (including a contrail parameterization) and long-term time series of observation-based data are used for an independent c

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Lewis, Sophie C., and David J. Karoly. "Evaluation of Historical Diurnal Temperature Range Trends in CMIP5 Models." Journal of Climate 26, no. 22 (2013): 9077–89. http://dx.doi.org/10.1175/jcli-d-13-00032.1.

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Abstract Diurnal temperature range (DTR) is a useful index of climatic change in addition to mean temperature changes. Observational records indicate that DTR has decreased over the last 50 yr because of differential changes in minimum and maximum temperatures. However, modeled changes in DTR in previous climate model simulations of this period are smaller than those observed, primarily because of an overestimate of changes in maximum temperatures. This present study examines DTR trends using the latest generation of global climate models participating in phase 5 of the Coupled Model Intercomp

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Lauritsen, Ryan G., and Jeffrey C. Rogers. "U.S. Diurnal Temperature Range Variability and Regional Causal Mechanisms, 1901–2002." Journal of Climate 25, no. 20 (2012): 7216–31. http://dx.doi.org/10.1175/jcli-d-11-00429.1.

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Abstract Long-term (1901–2002) diurnal temperature range (DTR) data are evaluated to examine their spatial and temporal variability across the United States; the early century origin of the DTR declines; and the relative regional contributions to DTR variability among cloud cover, precipitation, soil moisture, and atmosphere/ocean teleconnections. Rotated principal component analysis (RPCA) of the Climatic Research Unit (CRU) Time Series (TS) 2.1 dataset identifies five regions of unique spatial U.S. DTR variability. RPCA creates regional orthogonal indices of cloud cover, soil moisture, preci

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Scheitlin, Kelsey. "The Maritime Influence on Diurnal Temperature Range in the Chesapeake Bay Area." Earth Interactions 17, no. 21 (2013): 1–14. http://dx.doi.org/10.1175/2013ei000546.1.

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Abstract This study analyzes the influence of the Atlantic Ocean and Chesapeake Bay on the diurnal temperature range (DTR) reported by nearby weather stations. Coastal locations reported the smallest DTRs and DTR fluctuations, and DTR increased with distance from the ocean. Month of the year and airmass type also proved to be significant predictors of DTR. All locations showed a bimodal annual DTR pattern with peaks during the transitional seasons and experienced the greatest DTR during dry and/or warm air masses. Proximity to the ocean had the largest (smallest) influence on DTR during dry (m

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Ponjoan, Anna, Jordi Blanch, Lia Alves-Cabratosa, et al. "Extreme diurnal temperature range and cardiovascular emergency hospitalisations in a Mediterranean region." Occupational and Environmental Medicine 78, no. 1 (2020): 62–68. http://dx.doi.org/10.1136/oemed-2019-106245.

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ObjectivesThe impact of extreme diurnal temperature range (DTR) on cardiovascular morbidity in Mediterranean regions remains uncertain. We aimed to analyse the impact of extreme low DTR (stable temperature) or high DTR (changeable temperature) on cardiovascular hospitalisations in Catalonia (Southern Europe).MethodsWe conducted a self-controlled case series study using whole-year data from the System for the Development of Research in Primary Care database and 153 weather stations from the Catalan Meteorological Service. The outcome was first emergency hospitalisation. Monthly DTR percentiles

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Jackson, Lawrence S., and Piers M. Forster. "An Empirical Study of Geographic and Seasonal Variations in Diurnal Temperature Range." Journal of Climate 23, no. 12 (2010): 3205–21. http://dx.doi.org/10.1175/2010jcli3215.1.

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Abstract The diurnal temperature range (DTR) of surface air over land varies geographically and seasonally. The authors have investigated these variations using generalized additive models (GAMs), a nonlinear regression methodology. With DTR as the response variable, meteorological and land surface parameters were treated as explanatory variables. Regression curves related the deviation of DTR from its mean value to values of the meteorological and land surface variables. Cloud cover, soil moisture, distance inland, solar radiation, and elevation were combined as explanatory variables in an en

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Makowski, K., M. Wild, and A. Ohmura. "Diurnal temperature range over Europe between 1950 and 2005." Atmospheric Chemistry and Physics 8, no. 21 (2008): 6483–98. http://dx.doi.org/10.5194/acp-8-6483-2008.

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Abstract. It has been widely accepted that diurnal temperature range (DTR) decreased on a global scale during the second half of the twentieth century. Here we show however, that the long-term trend of annual DTR has reversed from a decrease to an increase during the 1970s in Western Europe and during the 1980s in Eastern Europe. The analysis is based on the high-quality dataset of the European Climate Assessment and Dataset Project, from which we selected approximately 200 stations covering the area bordered by Iceland, Algeria, Turkey and Russia for the period 1950 to 2005. We investigate na

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Stjern, Camilla W., Bjørn H. Samset, Olivier Boucher, et al. "How aerosols and greenhouse gases influence the diurnal temperature range." Atmospheric Chemistry and Physics 20, no. 21 (2020): 13467–80. http://dx.doi.org/10.5194/acp-20-13467-2020.

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Abstract. The diurnal temperature range (DTR) (or difference between the maximum and minimum temperature within a day) is one of many climate parameters that affects health, agriculture and society. Understanding how DTR evolves under global warming is therefore crucial. Physically different drivers of climate change, such as greenhouse gases and aerosols, have distinct influences on global and regional climate. Therefore, predicting the future evolution of DTR requires knowledge of the effects of individual climate forcers, as well as of the future emissions mix, in particular in high-emissio

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Makowski, K., M. Wild, and A. Ohmura. "Diurnal temperature range over Europe between 1950 and 2005." Atmospheric Chemistry and Physics Discussions 8, no. 2 (2008): 7051–84. http://dx.doi.org/10.5194/acpd-8-7051-2008.

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Abstract. It has been widely accepted that diurnal temperature range (DTR) decreased on a global scale during the second half of the twentieth century. Here we show however, that the long-term trend of annual DTR has reversed from a decrease to an increase during the 1970s in Western Europe and during the 1980s in Eastern Europe. The analysis is based on the high-quality dataset of the European Climate Assessment and Dataset Project, from which we selected approximately 200 stations, covering the area from Iceland to Algeria and from Turkey to Russia for 1950 to 2005. We investigate national a

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Zhang, Yanyu, Xiangjin Shen, and Gaohua Fan. "Elevation-Dependent Trend in Diurnal Temperature Range in the Northeast China during 1961–2015." Atmosphere 12, no. 3 (2021): 319. http://dx.doi.org/10.3390/atmos12030319.

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The diurnal temperature range (DTR) is considered a signature of observed climate change, which is defined as the difference between the maximum (Tmax) and minimum temperatures (Tmin). It is well known that the warming rate of mean temperature is larger at high elevations than at low elevations in northeast China. However, it is still uncertain whether DTR trend is greater at high elevations. This study examined the spatiotemporal variation in DTR and its relationship with elevation in northeast China based on data from 68 meteorological stations from 1961 to 2015. The results show that there

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Scheitlin, Kelsey N., and P. Grady Dixon. "Diurnal Temperature Range Variability due to Land Cover and Airmass Types in the Southeast." Journal of Applied Meteorology and Climatology 49, no. 5 (2010): 879–88. http://dx.doi.org/10.1175/2009jamc2322.1.

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Abstract This study examines the relationship between diurnal temperature range (DTR) and land use/land cover (LULC) in a portion of the Southeast. Temperature data for all synoptically weak days within a 10-yr period are gathered from the National Climatic Data Center for 144 weather stations. Each station is classified as one of the following LULC types: urban, agriculture, evergreen forest, deciduous forest, or mixed forest. A three-way analysis of variance and paired-sample t tests are used to test for significant DTR differences due to LULC, month, and airmass type. The LULC types display

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ONOZUKA, D. "The influence of diurnal temperature range on the incidence of respiratory syncytial virus in Japan." Epidemiology and Infection 143, no. 4 (2014): 813–20. http://dx.doi.org/10.1017/s0950268814001575.

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SUMMARYThe incidence of respiratory syncytial virus (RSV) has been reported to exhibit seasonal variation. However, the impact of diurnal temperature range (DTR) on RSV has not been investigated. After acquiring data related to cases of RSV and weather parameters of DTR in Fukuoka, Japan, between 2006 and 2012, we used negative binomial generalized linear models and distributed lag nonlinear models to assess the possible relationship between DTR and RSV cases, adjusting for confounding factors. Our analysis revealed that the weekly number of RSV cases increased with a relative risk of 3·30 (95

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Xia, X. "Variability and trend of diurnal temperature range in China and their relationship to total cloud cover and sunshine duration." Annales Geophysicae 31, no. 5 (2013): 795–804. http://dx.doi.org/10.5194/angeo-31-795-2013.

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Abstract. This study aims to investigate the effect of total cloud cover (TCC) and sunshine duration (SSD) in the variation of diurnal temperature range (DTR) in China during 1954–2009. As expected, the inter-annual variation of DTR was mainly determined by TCC. Analysis of trends of 30-year moving windows of DTR and TCC time series showed that TCC changes could account for that of DTR in some cases. However, TCC decreased during 1954–2009, which did not support DTR reduction across China. DTRs under sky conditions such as clear, cloudy and overcast showed nearly the same decreasing rate that

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Wang, Kai, Hong Ye, Feng Chen, Yongzhu Xiong, and Cuiping Wang. "Urbanization Effect on the Diurnal Temperature Range: Different Roles under Solar Dimming and Brightening*." Journal of Climate 25, no. 3 (2012): 1022–27. http://dx.doi.org/10.1175/jcli-d-10-05030.1.

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Abstract Based on the 1960–2009 meteorological data from 559 stations across China, the urbanization effect on the diurnal temperature range (DTR) was evaluated in this study. Different roles of urbanization were specially detected under solar dimming and solar brightening. During the solar dimming time, both urban and rural stations showed decreasing trends in maximum temperature (Tmax) because of decreased radiation, suggesting that the dimming effects are not only evident in urban areas but also in rural areas. However, minimum temperature (Tmin) increased more substantially in urban areas

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Lei, Lin, Junzhe Bao, Yanfang Guo, Qiong Wang, Ji Peng, and Cunrui Huang. "Effects of diurnal temperature range on first-ever strokes in different seasons: a time-series study in Shenzhen, China." BMJ Open 10, no. 11 (2020): e033571. http://dx.doi.org/10.1136/bmjopen-2019-033571.

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ObjectiveDiurnal temperature range (DTR) is an important meteorological indicator of global climate change; high values of DTR may induce stroke morbidity, while the related high-risk periods and sensitive populations are not clear. This study aims to evaluate the effects of DTR on first-ever strokes in different seasons and in relation to sensitive populations.MethodsWe collected data on 142 569 first-ever strokes during 2005–2016 in Shenzhen. We fitted a time-series Poisson model in our study, estimating the associations between DTR and first-ever strokes, with a distributed lag non-linear m

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Pei, Tingting, Zhenxia Ji, Ying Chen, et al. "The Sensitivity of Vegetation Phenology to Extreme Climate Indices in the Loess Plateau, China." Sustainability 13, no. 14 (2021): 7623. http://dx.doi.org/10.3390/su13147623.

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Climate changes, especially increased temperatures, and precipitation changes, have significant impacts on vegetation phenology. However, the response of vegetation phenology to the extreme climate in the Loess Plateau in Northwest China remains poorly quantified. The research described here analyzed the spatial change in vegetation phenology and the response of vegetation phenology to climate change in the Loess Plateau from 2001 to 2018, using data from seven extreme climate indices based on the ridge regression method. The results showed that extreme climate indexes, TNn (yearly minimum val

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