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Journal articles on the topic 'Mean Annual Temperature'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Lytle, Dennis J. "Estimating Mean Annual Soil Temperature from Mean Annual Air Temperature in Northern California." Soil Horizons 28, no. 1 (1987): 24. http://dx.doi.org/10.2136/sh1987.1.0024.

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2

Marasco, Ramona, Marco Fusi, Cristina Coscolín, et al. "Enzyme adaptation to habitat thermal legacy shapes the thermal plasticity of marine microbiomes." Nature Communications 14 (February 24, 2023): 1045. https://doi.org/10.1038/s41467-023-36610-0.

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Microbial communities respond to temperature with physiological adaptation and compositional turnover. Whether thermal selection of enzymes explains marine microbiome plasticity in response to temperature remains unresolved. By quantifying the thermal behaviour of seven functionally-independent enzyme classes (esterase, extradiol dioxygenase, phosphatase, beta-galactosidase, nuclease, transaminase, and aldo-keto reductase) in native proteomes of marine sediment microbiomes from the Irish Sea to the southern Red Sea, we record a significant effect of the mean annual temperature (MAT) on enzyme

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3

Linacre, E., and B. Geerts. "Estimating the annual mean screen temperature empirically." Theoretical and Applied Climatology 71, no. 1-2 (2002): 43–61. http://dx.doi.org/10.1007/s704-002-8207-4.

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Boersma, Maarten, Nico Grüner, Natália Tasso Signorelli, Pedro E. Montoro González, Myron A. Peck, and Karen H. Wiltshire. "Projecting effects of climate change on marine systems: is the mean all that matters?" Proceedings of the Royal Society B: Biological Sciences 283, no. 1823 (2016): 20152274. http://dx.doi.org/10.1098/rspb.2015.2274.

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Studies dealing with the effects of changing global temperatures on living organisms typically concentrate on annual mean temperatures. This, however, might not be the best approach in temperate systems with large seasonality where the mean annual temperature is actually not experienced very frequently. The mean annual temperature across a 50-year, daily time series of measurements at Helgoland Roads (54.2° N, 7.9° E) is 10.1°C while seasonal data are characterized by a clear, bimodal distribution; temperatures are around 6°C in winter and 15°C in summer with rapid transitions in spring and au

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MOBASSHER, A., MD AMINUR ISLAM, and SOPAN DAS. "Some climatological characteristics of the changing pattern of temperature in Bangladesh – A diagnostic approach." MAUSAM 67, no. 2 (2021): 441–54. http://dx.doi.org/10.54302/mausam.v67i2.1350.

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Based on climatological data of maximum and minimum temperatures of seventeen stations for a period of 60 years (1949 - 2008), obtained from Bangladesh Meteorological Department (BMD), the changing pattern of temperature in Bangladesh has been investigated. Some characteristics of annual variation and spatial distribution of mean monthly minimum, mean monthly maximum and mean monthly temperature, annual variation and spatial distribution of mean monthly amplitude of temperature have been explained. The characteristics of changing pattern of temperature such as standard deviation, coefficient o

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6

Chen, Yi-Ru, Bofu Yu, and Graham Jenkins. "Secular Variation in Rainfall Intensity and Temperature in Eastern Australia." Journal of Hydrometeorology 14, no. 4 (2013): 1356–63. http://dx.doi.org/10.1175/jhm-d-12-0110.1.

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Abstract It is generally assumed that rainfall intensity will increase with temperature increase, irrespective of the underlying changes to the average rainfall. This study documents and investigates long-term trends in rainfall intensities, annual rainfall, and mean maximum and minimum temperatures using the Mann–Kendall trend test for nine sites in eastern Australia. Relationships between rainfall intensities at various durations and 1) annual rainfall and 2) the mean maximum and minimum temperatures were investigated. The results showed that the mean minimum temperature has increased signif

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Zhang, Y., W. Wei, F. Jiang, et al. "Brief communication "Assessment of change in temperature and precipitation over Xinjiang, China"." Natural Hazards and Earth System Sciences 12, no. 5 (2012): 1327–31. http://dx.doi.org/10.5194/nhess-12-1327-2012.

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Abstract. Climate changes seriously affect people's daily life. Temperature and precipitation have been the focus of many studies dealing with regional climate changes in recent decades. In this study, the climatic trends in Xinjiang, northwest of China during 1961–2008 are analysed in detail on the basis of several parameters: annual and seasonal mean precipitation, and annual mean, minimum, and maximum temperatures. The results show a significant increasing trend of 7.40 mm decade−1 in the annual mean precipitation and a relatively minimal upward trend of 1.45 mm decade−1 in winter in Xinjia

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8

Mourshed, Monjur. "Relationship between annual mean temperature and degree-days." Energy and Buildings 54 (November 2012): 418–25. http://dx.doi.org/10.1016/j.enbuild.2012.07.024.

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9

Quevedo Urías, Héctor, Felipe Adrián Vázquez Gálvez, Ernestor Esparza, Óscar Ibáñez, and Servio Tulio De la Cruz. "Statistical model for the analysis of temperature: case study the 1895 - 2014 serie for Florida state." TECNOCIENCIA Chihuahua 11, no. 3 (2017): 155–66. http://dx.doi.org/10.54167/tch.v11i3.95.

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This study applied experimental design to mean annual, mean maximum and mean minimum temperatures of Florida State, U. S. A. Considerations are: 1. Testing various continuous probability distributions, to identify the best one, to avoid experimental errors using the statistics Anderson-Darling (A-D) and P-value. The results showed the normal distribution was the best. 2. Calculations of descriptive statistical for the mean annual, mean maximum and mean minimum temperatures. The results showed very little experimental errors. 3. Constructing normal probability plotting positions to calculate re

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KAJFEŽ-BOGATAJ, Lučka. "Spremembe minimalne in maksimalne temperature zraka v Sloveniji v zadnjih 50 letih." Acta agriculturae Slovenica 77, no. 2 (2001): 299–307. http://dx.doi.org/10.14720/aas.2001.77.2.15726.

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Long term monthly temperature data from four stations Kočevje, Ljubljana, Maribor and Rateče-Planica in Slovenia have been analysed. First trend analysis was performed on the years 1951 to 2000 annual and seasonal mean maximum and minimum temperature and diurnal temperature range (DTR) and secondly on last 30 years (1971 to 2000). Increasing trends of approximately 0.9°C/50 years in the annual mean temperatures were found at all stations. During the last 50 years an increase in annual mean maximum and mean minimum temperature has occurred also. In general the minimum daily temperatures have in

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11

Zhao, Peng, and Zhibin He. "Temperature Change Characteristics in Gansu Province of China." Atmosphere 13, no. 5 (2022): 728. http://dx.doi.org/10.3390/atmos13050728.

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The applicability of reanalysis data has been widely addressed in climate and hydrology studies over the past two decades. In this study, we analyzed spatiotemporal variations in ERA-Interim temperature data from four climate zones within Gansu Province from 1979 to 2017 by using linear regression model and Mann-Kendall mutation test. Results showed that: (1) The highest temperature was found in the subtropical monsoon climate zone, and the lowest in the plateau mountain climate zone. Temperatures in high-elevation regions were lower than those in low-elevation regions; (2) The annual mean tem

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12

Jian, Jinshi, Michael Bahn, Chuankuan Wang, Vanessa L. Bailey, and Ben Bond-Lamberty. "Prediction of annual soil respiration from its flux at mean annual temperature." Agricultural and Forest Meteorology 287 (June 2020): 107961. http://dx.doi.org/10.1016/j.agrformet.2020.107961.

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13

Pan, Feifei, Lisa Nagaoka, Steve Wolverton, Samuel F. Atkinson, Timothy A. Kohler, and Marty O’Neill. "A Constrained Stochastic Weather Generator for Daily Mean Air Temperature and Precipitation." Atmosphere 12, no. 2 (2021): 135. http://dx.doi.org/10.3390/atmos12020135.

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A constrained stochastic weather generator (CSWG) for producing daily mean air temperature and precipitation based on annual mean air temperature and precipitation from tree-ring records is developed and tested in this paper. The principle for stochastically generating daily mean air temperature assumes that temperatures in any year can be approximated by a sinusoidal wave function plus a perturbation from the baseline. The CSWG for stochastically producing daily precipitation is based on three additional assumptions: (1) In each month, the total precipitation can be estimated from annual prec

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14

Jónsdóttir, Jóna Finndís, Cintia B. Uvo, and Robin T. Clarke. "Trend analysis in Icelandic discharge, temperature and precipitation series by parametric methods." Hydrology Research 39, no. 5-6 (2008): 425–36. http://dx.doi.org/10.2166/nh.2008.002.

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This paper presents results of analyses by parametric methods of annual means of temperature, precipitation and discharge, and of seasonal maximum precipitation at 17, 28 and 10 Icelandic stations, respectively, for the period 1961–2000. Trends in mean seasonal temperature and precipitation are in broad agreement with results found by other authors using other methods. A positive trend appears in both mean annual temperature and mean temperatures in most seasons. Annual mean precipitation trends are positive in most seasons except for negative trends in the September–November season in the sou

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15

Schlosser, Elisabeth. "Effects of seasonal variability of accumulation on yearly mean δ18O values in Antarctic snow". Journal of Glaciology 45, № 151 (1999): 463–68. http://dx.doi.org/10.3189/s0022143000001325.

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AbstractThe annual mean oxygen-isotope content of Antarctic snow is strongly influenced by the seasonal variability of accumulation. Since the annual mean δ18O value is frequently used to derive mean annual temperatures from ice cores, changes in atmospheric circulation pattern can lead to large errors in the deduced temperature record. At the German Antarctic wintering base, Neumayer, accumulation measurements have been carried out continuously over the last 16 years. Weekly readings of accumulation stakes combined with snow pits and shallow firn cores are used to investigate the influence of

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Schlosser, Elisabeth. "Effects of seasonal variability of accumulation on yearly mean δ18O values in Antarctic snow". Journal of Glaciology 45, № 151 (1999): 463–68. http://dx.doi.org/10.1017/s0022143000001325.

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AbstractThe annual mean oxygen-isotope content of Antarctic snow is strongly influenced by the seasonal variability of accumulation. Since the annual mean δ18O value is frequently used to derive mean annual temperatures from ice cores, changes in atmospheric circulation pattern can lead to large errors in the deduced temperature record. At the German Antarctic wintering base, Neumayer, accumulation measurements have been carried out continuously over the last 16 years. Weekly readings of accumulation stakes combined with snow pits and shallow firn cores are used to investigate the influence of

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17

HAYHOE, H. N., C. TARNOCAI, and L. M. DWYER. "SOIL MANAGEMENT AND VEGETATION EFFECTS ON MEASURED AND ESTIMATED SOIL THERMAL REGIMES IN CANADA." Canadian Journal of Soil Science 70, no. 1 (1990): 61–71. http://dx.doi.org/10.4141/cjss90-007.

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Observations at sites in British Columbia, the Yukon, Manitoba and Nova Scotia over a range of soils, managements and vegetation were used to assess variation in soil temperature. The annual soil temperature regime was compared with estimates derived from a macroclimate model which was developed for mineral soils that are level, well to moderately well drained, and covered by short grass. In general, this study showed the dampening effect of vegetation cover on soil temperature and suggested the further dampening effect of an organic layer on the soil surface. However, soil temperatures for cu

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18

Zhang, Liancheng, Jiayi Si, Guli Jiapaer, Taixi Zhang, Weiyi Mao, and Siyan Dong. "Spatial Homogenization Adjustment and Application of Weather Station Networks in Xinjiang, China." Atmosphere 13, no. 11 (2022): 1840. http://dx.doi.org/10.3390/atmos13111840.

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In this study, we define the S0 value (buffer zone area centred on a meteorological station) and two inhomogeneity measurement parameters, the station domain area and station network density, for 89 weather stations in the Xinjiang region, and we construct the weight coefficient of the station network according to the station domain area. Applying the weight coefficient, we calculate the mean temperature, maximum temperature, and minimum temperature in January, April, July, October, and annually in the Xinjiang region from 1961 to 2021. The results show that the S0 value of 200,000 km2 is suit

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19

Zhan, Ming-jin, Lingjun Xia, Longfei Zhan, and Yuanhao Wang. "Recognition of Changes in Air and Soil Temperatures at a Station Typical of China’s Subtropical Monsoon Region (1961–2018)." Advances in Meteorology 2019 (December 1, 2019): 1–9. http://dx.doi.org/10.1155/2019/6927045.

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Trends in soil temperature are important but rarely reported indicators of climate change. Based on daily air and soil temperatures (depth: 0, 20, 80, and 320 cm) recorded at the Nanchang Weather Station (1961–2018), this study investigated the variation trend, abrupt changes, and years of anomalous annual and seasonal mean air and soil temperatures. The differences and relationships between annual air and soil temperatures were also analyzed. The results showed close correlations between air temperature and soil temperature at different depths. Annual and seasonal mean air and soil temperatur

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20

Read, Jennifer, Geoffrey S. Hope, and Robert S. Hill. "Phytogeography and climate analysis of Nothofagus subgenus Brassospora in New Guinea and New Caledonia." Australian Journal of Botany 53, no. 4 (2005): 297. http://dx.doi.org/10.1071/bt04155.

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Nothofagus subgenus Brassospora now occurs only in New Guinea and New Caledonia, but is well known from fossil deposits of South America, New Zealand, Antarctica and Australia. It is commonly used for palaeoclimatic interpretation, but the climate characteristics of the extant species have not been described. In this paper we used the climatic estimation software, BIOCLIM, to derive a climate profile of 24 variables for each of the 14 species of Nothofagus native to New Guinea, and lapse rates and isohyet maps to describe the annual mean temperature and rainfall range of the five species nativ

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21

Yin, Xiwei. "Variation in foliar nitrogen concentration by forest type and climatic gradients in North America." Canadian Journal of Forest Research 23, no. 8 (1993): 1587–602. http://dx.doi.org/10.1139/x93-199.

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Published data were used to explore variation in foliar nitrogen (N) concentration in relation to forest type, foliar life-span, latitude, mean January temperature, mean July temperature, mean annual temperature, annual precipitation, annual actual evapotranspiration, mean monthly solar radiation in foliar lifetime, and annual soil water deficit. The hypothesis was that foliar N concentration integrating carbon and N links should be closely correlated with climatic constraints at a broad regional scale. The data set included 49 deciduous broadleaf forests and 58 evergreen coniferous forests di

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22

Lugo-Camacho, Jorge L., Samuel J. Indorante, John M. Kabrick, and Miguel A. Muñoz. "Soil temperature variations between a Typic Fragiudults and a Typic Paleudults in the Ozark Highlands of Missouri." Journal of Agriculture of the University of Puerto Rico 105, no. 2 (2022): 125–41. http://dx.doi.org/10.46429/jaupr.v105i2.20071.

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Soil temperature measurements from a Soil Climate Analysis Network (SCAN) monitoring site in the Ozark Highlands Major Land Resource Area (MLRA 116A) were evaluated on landscapes comprising Typic Fragiudults (Scholten series) and Typic Paleudults (Poynor series). The five soil forming factors were similarfor both soils, with the major difference between the adjacent soils being a fragipan in the Scholten series. Air and soil temperatures were collected from a weather station of the USDA-Natural Resources Conservation Service near the border of the mesic soil temperature regime and udic soil mo

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23

Das, Keya Rani, Preetilata Burman, Linnet Riya Barman, Mashrat Jahan, and Mst Noorunnahar. "Forecasting Annual Mean Temperature and Rainfall in Bangladesh Using Time Series Data." Nepal Journal of Mathematical Sciences 4, no. 2 (2023): 49–58. https://doi.org/10.3126/njmathsci.v4i2.59536.

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Our ability to grow crops is significantly impacted by the weather. Therefore, it is important to make predictions about the weather. Because of its reliance on stable weather conditions, agriculture is highly susceptible to the effects of climate change. Countries like Bangladesh, whose economy is based on agriculture, will be more severely affected by the effects of climate change than others. For this reason, it is crucial to develop a robust forecasting tool to determine the implications of climatic variables, especially temperature and rainfall. In this study, we project the average annua

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Olali, Kigigha, Ify L. Nwaogazie, and Chiedozie F. Ikebude. "Climate Variability in Temperature Trends and Change Point in Yenagoa, Nigeria." International Journal of Environment and Climate Change 15, no. 3 (2025): 244–56. https://doi.org/10.9734/ijecc/2025/v15i34770.

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This study aims to analyse temperature trend, variation, and change point patterns in Bayelsa State, Nigeria over a 31-year period (1992-2022). The daily temperature data used for the study were obtained from the Nigerian Meteorological Agency (NIMET). The daily maximum and minimum temperature data were further processed to obtain the annual maximum, minimum, and mean temperatures. Several statistical tests were utilized to investigate the temperature trend and to detect change point year. Linear regression and Mann-Kendall tests were employed to establish if there are significant trend in the

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Azcárate, Francisco M., Pablo Manzano, and Begoña Peco. "Testing seed-size predictions in Mediterranean annual grasslands." Seed Science Research 20, no. 3 (2010): 179–88. http://dx.doi.org/10.1017/s0960258510000176.

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AbstractOn the basis of previous research, we predict that Mediterranean grasslands should show larger-seeded annuals in: (1) more-arid grasslands; (2) more-fertile soils; (3) less-grazed grasslands; and (4) grasslands with lower intensities of seed predation by ants. To test these predictions, we set 29 sampling units of 50 m × 50 m in a 1000 km2 grassland area in Central Spain, and characterized them according to the former factors. We then recorded annual vegetation using ten quadrats of 20 cm × 20 cm in each sampling unit. Seed size at the community level was described using six variables:

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Olali, Kigigha, Ify Nwaogazie, and Chiedozie Ikebude. "Establishing Climate Change on Temperature Trend, Variation and Change Point Pattern in Warri, Nigeria." Hydrology 13, no. 2 (2025): 90–101. https://doi.org/10.11648/j.hyd.20251302.11.

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The study aimed to establish climate change on temperature trends, variation and change point patterns in Warri, Nigeria, using 31-year daily temperature data (1992-2022). The primary data were obtained from the Nigerian Meteorological Agency (NIMET) for Warri to understand the temperature dynamic in the city. Both the annual maximum and minimum temperatures were extracted from the dataset and also the mean temperature was obtained by getting the mean temperature of the maximum temperature values. Mann-Kendall trend tests, linear regression, change point detection through CUSUM analysis, and S

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Komatsu, Hikaru, Eiichi Maita, and Kyoichi Otsuki. "A model to estimate annual forest evapotranspiration in Japan from mean annual temperature." Journal of Hydrology 348, no. 3-4 (2008): 330–40. http://dx.doi.org/10.1016/j.jhydrol.2007.10.006.

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Gallo, Kevin P. "Evaluation of Temperature Differences for Paired Stations of the U.S. Climate Reference Network." Journal of Climate 18, no. 10 (2005): 1629–36. http://dx.doi.org/10.1175/jcli3358.1.

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Abstract Adjustments to data observed at pairs of climate stations have been recommended to remove the biases introduced by differences between the stations in time of observation, temperature instrumentation, latitude, and elevation. A new network of climate stations, located in rural settings, permits comparisons of temperatures for several pairs of stations without two of the biases (time of observation and instrumentation). The daily, monthly, and annual minimum, maximum, and mean temperatures were compared for five pairs of stations included in the U.S. Climate Reference Network. Signific

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Srivichai, Piyavadee. "The Association Between CO2 Emission and Temperature in Thailand." Nature Environment and Pollution Technology 23, no. 1 (2024): 553–57. http://dx.doi.org/10.46488/nept.2024.v23i01.052.

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The important source of carbon dioxide (CO2) emission is identified to be energy usage, which the demand is gradually increasing. Currently, many people are exposed to increasing temperatures, which affects to health, environment, and quality of life. Moreover, there are many worries about its continuously increasing trend. This work is interested in studying the association between the annual CO2 emission and the annual mean temperature in Thailand. At a confidence interval of 90%, a statistically significant association between the annual CO2 emission and the annual mean temperature was obse

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Makokha, George Lukoye, and Chris A. Shisanya. "Trends in Mean Annual Minimum and Maximum Near Surface Temperature in Nairobi City, Kenya." Advances in Meteorology 2010 (2010): 1–6. http://dx.doi.org/10.1155/2010/676041.

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This paper examines the long-term urban modification of mean annual conditions of near surface temperature in Nairobi City. Data from four weather stations situated in Nairobi were collected from the Kenya Meteorological Department for the period from 1966 to 1999 inclusive. The data included mean annual maximum and minimum temperatures, and was first subjected to homogeneity test before analysis. Both linear regression and Mann-Kendall rank test were used to discern the mean annual trends. Results show that the change of temperature over the thirty-four years study period is higher for minimu

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Uddin, MN, MSA Mondal, and NMR Nasher. "Spatio-temporal Analysis of Maximum and Minimum Temperature in Bangladesh." Journal of Environmental Science and Natural Resources 7, no. 2 (2015): 73–77. http://dx.doi.org/10.3329/jesnr.v7i2.22210.

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The analysis of annual mean maximum and annual mean minimum temperature data are studied in GIS environment, obtained from 34 meteorological stations scattered throughout the Bangladesh from 1948 to 2013. IDW method was used for the spatial distribution of temperature over the study area, using ArcGIS 10.2 software. Possible trends in the spatially distributed temperature data were examined, using the non-parametric Mann-Kendall method with statistical significance, and the magnitudes of available trends were determined using Sens method in ArcMap depiction. The findings of the study show pos

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Vrsalović, Adrijana, Ivo Andrić, Ognjen Bonacci, and Omer Kovčić. "Climate Variability and Trends in Imotski, Croatia: An Analysis of Temperature and Precipitation." Atmosphere 14, no. 5 (2023): 861. http://dx.doi.org/10.3390/atmos14050861.

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This paper examines the long-term changes in temperature and precipitation in the karst region of Imotski, Croatia, which is of particular interest due to its abundance of karst phenomena. This study analyses temperatures and precipitation on monthly and annual scales at two climatological stations in the region, Imotski and Ričice. Linear regression, the Theil–Sen estimator (β), and the Mann–Kendall test were used to determine the trends and statistical significance. The homogeneity of the data was checked using the Standard Normal Homogeneity Test (SNHT), and the F-test and t-test were used

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Minns, Charles K., Brian J. Shuter, Andrew Davidson, and Shusen Wang. "Factors influencing peak summer surface water temperature in Canada’s large lakes." Canadian Journal of Fisheries and Aquatic Sciences 75, no. 7 (2018): 1005–18. http://dx.doi.org/10.1139/cjfas-2017-0061.

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Seasonal water temperature data from 388 large Canadian lakes (area ≥ 100 km2) were used to develop improved empirical tools for forecasting the impacts of climate change on the magnitude (TP) and time of occurrence (JP) of annual peak surface water temperatures. Analyses of remotely sensed open-water temperatures with sinusoidal models produced estimates of TP and JP predominately better than other models. Those estimates were analyzed for lake and climate patterns. Linear mixed effects regression produced a significant model of TP with fixed positive effects for mean July and annual air temp

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Jun, Li, Weili Wang, and H. Jay Zwally. "Interannual variations of shallow firn temperature at Greenland summit." Annals of Glaciology 35 (2002): 368–70. http://dx.doi.org/10.3189/172756402781816933.

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AbstractFirn-temperature profiles are calculated in a thermal model using continuous surface temperatures derived from automatic weather station data and passive-microwave data in the Greenland summit region during the period 1987–99. the results show that significant interannual variations of mean summer (June–August) and annual temperatures occur in the top 15 m, in addition to the normal seasonal cycle of firn temperature. At 5 m depth, the seasonal cycle is damped to 13% of the surface seasonal range, but even at 15m about 1% or 0.6˚C of the seasonal cycle persists. Both summer and mean an

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Ren, Yuyu, Guoyu Ren, Rob Allan, Jiao Li, Guowei Yang, and Panfeng Zhang. "The 1757–62 Temperature Observed in Beijing." Bulletin of the American Meteorological Society 103, no. 11 (2022): E2470—E2483. http://dx.doi.org/10.1175/bams-d-21-0245.1.

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Abstract Instrumental data from the pre–Industrial Revolution period are important to understand climate change. In this paper, the observations made by the French missionary J. Amiot in present-day central Beijing during 1757–62 were processed and analyzed. The observations represent the earliest continuous dataset of meteorological records found in China that have been digitized recently. Comparisons between the Amiot annual temperature range and extreme values with modern observations showed that the observations were read at approximately 0800 and 1500 local solar time (LST) in a well-ven

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Thapa, A., A. Silwal, S. P. Gautam, C. K. Nepal, S. Bhattarai, and D. Timsina. "Surface air temperature trends in Kathmandu Valley for 2011-2017." BIBECHANA 18, no. 2 (2021): 95–104. http://dx.doi.org/10.3126/bibechana.v18i2.29495.

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In this study, we reviewed the maximum and minimum temperature trends of the Kathmandu valley over the period of 2011-2017. In addition, the average monthly temperature trends were studied annually for the same period, with the data made available from the Department of Hydrology and Meteorology (DHM) of Nepal. The annual temperature trended in the same direction, with winter temperatures being lower and summer temperatures being higher. The annual average minimum and maximum air temperature trends were found to be slightly rising at 0.097˚C/year and 0.04˚C/year, respectively. The mean air tem

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Zaied, Ashraf, Hatim Geli, Jerry Holechek, Andres Cibils, Mohammed Sawalhah, and Charlotte Gard. "An Evaluation of Historical Trends in New Mexico Beef Cattle Production in Relation to Climate and Energy." Sustainability 11, no. 23 (2019): 6840. http://dx.doi.org/10.3390/su11236840.

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In support of Food-Energy-Water Systems (FEWS) analysis to enhance its sustainability for New Mexico (NM), this study evaluated observed trends in beef cattle population in response to environmental and economic changes. The specific goal was to provide an improved understanding of the behavior of NM’s beef cattle production systems relative to precipitation, temperature, rangeland conditions, production of hay and crude oil, and prices of hay and crude oil. Historical data of all variables were available for the 1973–2017 period. The analysis was conducted using generalized autoregressive con

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SINGH, T. P., and S. M. DESHPANDE. "Changes in the means of temperatures and rainfall of the period 1981-2010 with respect to mean values of 1951-80 over the Indian stations." MAUSAM 73, no. 3 (2022): 499–510. http://dx.doi.org/10.54302/mausam.v73i3.5930.

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In this paper, the changes in monthly and annual means of maximum temperature, minimum temperature and rainfall at well distributed 178 stations of India for the period 1981-2010 as compared to the respective means of 1951-80, are determined and analysed. To test the significant differences at the station, Student’s t test has been applied. Increasing trend in monthly and annual mean maximum temperature is found at most places of southern and western regions of India. There is a decrease in maximum temperature in Indo-Gangetic Plains (IGP) region in January to June months. Significant ri

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Zhang, Hui Zhi, and Xue Zheng Shi. "Spatial Prediction of Soil Temperature in China." Advanced Materials Research 955-959 (June 2014): 3718–23. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.3718.

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Temperature affects many soil biochemical and geochemical processes. The growth of plants, seed germination, circulations of carbon and nitrogen are all significantly influenced by soil temperature, thus it is important to estimate the spatial pattern of soil temperature. This paper shows the results of spatial patterns of mean annual soil temperature interpolated from the measurements of 698 meteorological stations in China. Four geostatistical methods, ordinary kriging (OK), regression kriging with mean annual air temperature (RK-1), regression kriging with latitude, longitude and elevation

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Solheim, Jan-Erik, Kjell Stordahl, and Ole Humlum. "Solar Activity and Svalbard Temperatures." Advances in Meteorology 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/543146.

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The long temperature series at Svalbard (Longyearbyen) show large variations and a positive trend since its start in 1912. During this period solar activity has increased, as indicated by shorter solar cycles. The temperature at Svalbard is negatively correlated with the length of the solar cycle. The strongest negative correlation is found with lags 10–12 years. The relations between the length of a solar cycle and the mean temperature in the following cycle are used to model Svalbard annual mean temperature and seasonal temperature variations. Residuals from the annual and winter models show

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Mohd Hasan, Mohd Rosli, Jacob E. Hiller, and Zhanping You. "Effects of mean annual temperature and mean annual precipitation on the performance of flexible pavement using ME design." International Journal of Pavement Engineering 17, no. 7 (2015): 647–58. http://dx.doi.org/10.1080/10298436.2015.1019504.

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Khandu, Yeshey, Anan Polthanee, and Supat Isarangkool Na Ayutthaya. "Dendroclimatic Reconstruction of Mean Annual Temperatures over Treeline Regions of Northern Bhutan Himalayas." Forests 13, no. 11 (2022): 1794. http://dx.doi.org/10.3390/f13111794.

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The Himalayan region is likely particularly exposed to climate change indicated by the high regional rate of change. The number of high-resolution, well-calibrated, and long-term paleoclimate reconstructions are however regrettably few, to set this change in a longer-term context. The dendroclimatic reconstructions over Himalaya that do exist have only reconstructed summer season temperatures, and rarely or never attempted to reconstruct mean annual temperatures. The paucity of long meteorological records is a matter of concern when developing chronologies of climate sensitive tree-ring data i

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Kuznetsova, Daria M., and Konstanin B. Gongalsky. "Cartographic analysis of woodlice fauna of the former USSR." ZooKeys 176 (March 20, 2012): 1–11. https://doi.org/10.3897/zookeys.176.2372.

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An inventory of the woodlice fauna of the former USSR yielded 190 species, 64 of them were recorded from the territory of Russia. According to the cartographic analysis, the limits of distribution of epigean terrestrial isopods over the area, excluding mountains, is explained by temperature. No woodlice records were found outside the isocline of 120 days a year with the mean daily air temperature >10°C. The highest species diversity was found between the isoclines of 180 and 210 days. These areas correspond to forest-steppe and steppe zones.

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Park, Hyo-Seok, Seong-Joong Kim, Andrew L. Stewart, Seok-Woo Son, and Kyong-Hwan Seo. "Mid-Holocene Northern Hemisphere warming driven by Arctic amplification." Science Advances 5, no. 12 (2019): eaax8203. http://dx.doi.org/10.1126/sciadv.aax8203.

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The Holocene thermal maximum was characterized by strong summer solar heating that substantially increased the summertime temperature relative to preindustrial climate. However, the summer warming was compensated by weaker winter insolation, and the annual mean temperature of the Holocene thermal maximum remains ambiguous. Using multimodel mid-Holocene simulations, we show that the annual mean Northern Hemisphere temperature is strongly correlated with the degree of Arctic amplification and sea ice loss. Additional model experiments show that the summer Arctic sea ice loss persists into winter

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Yan, Bo, Ziqiang Xia, Feng Huang, Lidan Guo, and Xiao Zhang. "Climate Change Detection and Annual Extreme Temperature Analysis of the Amur River Basin." Advances in Meteorology 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/6268938.

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This paper aims to detect climate change points and compare the extreme temperature changes with the average-value changes in the Amur River basin. The daily air temperatures of 44 stations in the Amur River basin were collected from April 1, 1954, to March 31, 2013. The change points for annual mean and extreme temperature in 44 individual stations and their average were detected by the Mann-Kendall test, respectively. The annual mean temperature changed during 1980s in terms of increased mean value and relative stable standard deviation. The annual maximum temperature from 31 stations mostly

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An, Soon-Il, Yoo-Geun Ham, Jong-Seong Kug, Axel Timmermann, Jung Choi, and In-Sik Kang. "The Inverse Effect of Annual-Mean State and Annual-Cycle Changes on ENSO." Journal of Climate 23, no. 5 (2010): 1095–110. http://dx.doi.org/10.1175/2009jcli2895.1.

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Abstract The influence of the tropical Pacific annual-mean state on the annual-cycle amplitude and El Niño–Southern Oscillation (ENSO) variability is studied using the Max Planck Institute for Meteorology coupled general circulation model (CGCM) ECHAM5/Max Planck Institute Ocean Model (MPI-OM1). In a greenhouse warming experiment, an intensified annual cycle of sea surface temperature (SST) in the eastern tropical Pacific is associated with reduced ENSO variability, and vice versa. Analysis showed that the annual-mean states, especially the surface warming in the western Pacific and the thermo

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Eliseev, A. V., I. I. Mokhov, and M. S. Guseva. "Sensitivity of amplitude-phase characteristics of the surface air temperature annual cycle to variations in annual mean temperature." Izvestiya, Atmospheric and Oceanic Physics 42, no. 3 (2006): 300–312. http://dx.doi.org/10.1134/s0001433806030030.

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Zeroual, Ayoub, Ali A. Assani, and Mohamed Meddi. "Combined analysis of temperature and rainfall variability as they relate to climate indices in Northern Algeria over the 1972–2013 period." Hydrology Research 48, no. 2 (2016): 584–95. http://dx.doi.org/10.2166/nh.2016.244.

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Many studies have highlighted breaks in mean values of temperature and precipitation time series since the 1970s. Given that temperatures have continued to increase following that decade, the first question addressed in this study is whether other breaks in mean values have occurred since that time. The second question is to determine which climate indices influence temperature and rainfall in the coastal region of Northern Algeria. To address these two questions, we analyzed the temporal variability of temperature and annual and seasonal rainfall as they relate to four climate indices at seve

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Bahn, M., M. Reichstein, E. A. Davidson, et al. "Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes." Biogeosciences Discussions 6, no. 6 (2009): 11501–20. http://dx.doi.org/10.5194/bgd-6-11501-2009.

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Abstract. Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. There still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 72 site-years for 58 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SR MAT), irrespective of the type of ecosystem and biome. This convergence is to be theoretically expected for

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Bahn, M., M. Reichstein, E. A. Davidson, et al. "Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes." Biogeosciences 7, no. 7 (2010): 2147–57. http://dx.doi.org/10.5194/bg-7-2147-2010.

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Abstract. Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SRMAT), irrespective of the type of ecosystem and biome. This is theoretically expected for non water

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