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Journal articles on the topic 'Climate Correlations'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Vonk, Wytse J., Martin K. van Ittersum, Pytrik Reidsma, et al. "European survey shows poor association between soil organic matter and crop yields." Nutrient Cycling in Agroecosystems 118, no. 3 (2020): 325–34. http://dx.doi.org/10.1007/s10705-020-10098-2.

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AbstractA number of policies proposed to increase soil organic matter (SOM) content in agricultural land as a carbon sink and to enhance soil fertility. Relations between SOM content and crop yields however remain uncertain. In a recent farm survey across six European countries, farmers reported both their crop yields and their SOM content. For four widely grown crops (wheat, grain maize, sugar beet and potato), correlations were explored between reported crop yields and SOM content (N = 1264). To explain observed variability, climate, soil texture, slope, tillage intensity, fertilisation and

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Park, Joohee, Jungmin Lee, and Seongjune Byeon. "A Study of the Correlation between ElNiño-Southern Oscillation and Indian Ocean Dipole Mode Indices, and Korean Drought Indices." Journal of the Korean Society of Hazard Mitigation 24, no. 6 (2024): 33–41. https://doi.org/10.9798/kosham.2024.24.6.33.

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The correlation between ocean climate and Korean drought indices is key in explaining and predicting droughts in Korea. In this study, ocean climate index data, including El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) index values, were subjected to a Pearson correlation analysis with standardized precipitation index (SPI) data. The results of the analysis show that the SPI and ocean climate change are linked, which provides a possible explanation for the effect of ENSO and IOD on drought in Korea. However, because the magnitude of the observed link was not very large, the c

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Miftahuddin, Miftahuddin, Ria Andriani, Ichsan Setiawan, and Adi Mulsandi. "Penerapan Analisis Korelasi Kanonik pada Kajian Enso dalam Identifikasi Hubungan Fitur Iklim." Jurnal Natur Indonesia 15, no. 1 (2014): 36. http://dx.doi.org/10.31258/jnat.15.1.36-44.

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There are several resulting arguments from the research done on climate variation in Indonesia stating that the observed affects are through various phenomena such as ENSO, monsoon, dipole mode event, and MJO. However, the magnitude of the effect varies for each region in Indonesia. This research aims to identify the relationship among the global climate features (GCFs) in the Nino3.4 (5°S–5°N, 120–170°W) with the local climate features (LCFs) in the Aceh regions which represented by: I(2–3°N, 95–98°E), II(3–4°N, 95–98°E), III(4–5°N, 95–98°E), and IV(5–6°N, 95–98°E) using canonical correlation

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Yin, Hanmin, Xiaofei Ma, Xiaohan Liao, et al. "Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data." Remote Sensing 16, no. 21 (2024): 4101. http://dx.doi.org/10.3390/rs16214101.

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With global climate change, linking vegetation phenology with net ecosystem productivity (NEP) is crucial for assessing vegetation carbon storage capacity and predicting terrestrial ecosystem changes. However, there have been few studies investigating the relationship between vegetation phenology and NEP in the middle and high latitudes of the Northern Hemisphere. This study comprehensively analyzed vegetation phenological changes and their climate drivers using satellite data. It also investigated the spatial distribution and climate drivers of NEP and further analyzed the sensitivity of NEP

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Marcinkowski, Kailey, David L. Peterson, and Gregory J. Ettl. "Nonstationary temporal response of mountain hemlock growth to climatic variability in the North Cascade Range, Washington, USA." Canadian Journal of Forest Research 45, no. 6 (2015): 676–88. http://dx.doi.org/10.1139/cjfr-2014-0231.

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A stationary response of tree radial growth to climatic variables is assumed as a basis for climatic reconstructions and future growth projections in response to climate change. Mountain hemlock (Tsuga mertensiana (Bong.) Carrière) trees on the western slopes of the North Cascade Range (Washington, USA) were examined for stability in growth response to climatic influences at a small spatial scale. Moving correlation functions demonstrate that climate–growth interactions are nonstationary over time, alternating between periods of significant and nonsignificant responses. Correlations between gr

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Peron, T. K. D., C. H. Comin, D. R. Amancio, L. da F. Costa, F. A. Rodrigues, and J. Kurths. "Correlations between climate network and relief data." Nonlinear Processes in Geophysics Discussions 1, no. 1 (2014): 823–40. http://dx.doi.org/10.5194/npgd-1-823-2014.

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Abstract. In the last few years, the scientific community has witnessed an ongoing trend of using ideas developed in the study of complex networks to analyze climate dynamics. This powerful combination, usually called climate networks, can be used to uncover non-trivial patterns of weather changes along the years. Here we investigate the temperature network of North America region and show that two network characteristics, namely degree and clustering, have markedly differences between the Eastern and Western regions. We show that such differences are a reflection of the presence of a large ne

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Sain, Stephan R., and Reinhard Furrer. "Combining climate model output via model correlations." Stochastic Environmental Research and Risk Assessment 24, no. 6 (2010): 821–29. http://dx.doi.org/10.1007/s00477-010-0380-5.

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Peron, T. K. D., C. H. Comin, D. R. Amancio, L. da F. Costa, F. A. Rodrigues, and J. Kurths. "Correlations between climate network and relief data." Nonlinear Processes in Geophysics 21, no. 6 (2014): 1127–32. http://dx.doi.org/10.5194/npg-21-1127-2014.

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Abstract. In the last few years, the scientific community has witnessed an ongoing trend of using ideas developed in the study of complex networks to analyze climate dynamics. This powerful combination, usually called climate networks, can be used to uncover non-trivial patterns of weather changes throughout the years. Here we investigate the temperature network of the North American region and show that two network characteristics, namely degree and clustering, have marked differences between the eastern and western regions. We show that such differences are a reflection of the presence of a

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Munawaroh, Umi, and Muhamad Khoiru Zaki. "Using SoilGrids250m for Overlooking Spatial and Vertical Distribution of Soil Physico-chemical Properties Over Tropical Climate Asia." Applied Research in Science and Technology 5, no. 1 (2025): 108–19. https://doi.org/10.33292/areste.v5i1.76.

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Background: Understanding the interaction, spatial and vertical distribution of soil chemical properties over climate type in tropical Asia and various depths of soil is essential for sustainable land management, particularly in regions experiencing dynamic conditions.Aims & Methods: This study investigates the relationships of each parameter such as cation exchange capacity (CEC), soil pH, and soil organic carbon (SOC) tropical Climate Asia. Using stratified random sampling based on Köppen–Geiger climate classifications and a consistent spatial resolution of 0.25° × 0.25°, we analyzed 45

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Papaioannou, Athanasios G., Nikolaos Tsigilis, Eudoxia Kosmidou, and Dimitrios Milosis. "Measuring Perceived Motivational Climate in Physical Education." Journal of Teaching in Physical Education 26, no. 3 (2007): 236–59. http://dx.doi.org/10.1123/jtpe.26.3.236.

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A new instrument of motivational climate in physical education is presented with the goal of measuring perceptions of teachers’ emphasis on mastery, performance–approach, performance–avoidance, and social approval goals. The measure was based on the principle of compatibility, according to which climate perceptions and achievement goals should be compatible between each other in terms of target, action domain, life context, and time. The measure was administered to 928 middle school students alongside scales of intrinsic motivation, amotivation, and satisfaction. The statistical analyses inclu

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Simeon, Mestewat, Desalegn Wana, and Zerihun Woldu. "Spatiotemporal dynamics of ecosystem services in response to climate variability in Maze National Park and its environs, southwestern Ethiopia." PLOS ONE 19, no. 7 (2024): e0307931. http://dx.doi.org/10.1371/journal.pone.0307931.

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Climate variability is one of the major factors affecting the supply of ecosystem services and the well-being of people who rely on them. Despite the substantial effects of climate variability on ecosystem goods and services, empirical researches on these effects are generally lacking. Thus, this study examines the spatiotemporal impacts of climate variability on selected ecosystem services in Maze National Park and its surroundings, in southwestern Ethiopia. We conducted climate trend and variability analysis by using the Mann-Kendall (MK) trend test, Sen’s slope estimator, and innovative tre

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Suppiah, Paveethira, Kok Weng Tan, Kah Seng Chin, and Yuk Feng Huang. "Assessment of Climate Hazards Using PRECIS Regional Climate Model (RCM): A Case Study in Cameron Highlands, Pahang, Malaysia." Journal of Environmental Science and Management 23, no. 2 (2020): 50–59. http://dx.doi.org/10.47125/jesam/2020_2/06.

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This study aimed to assess the differences in modelling disaster risks results when using historical precipitation and when using simulated precipitation associated with future Intergovernmental Panel on Climate Change (IPCC) climate scenarios. Subsequently, the relationship between climate change and climate hazards was analyzed in this study. The secondary data analyzed included historical precipitation (1983-2017), flood and landslide events records, and Providing Regional Climates for Impacts Studies (PRECIS) regional climate model (RCM):A1B, A2 and B2 scenarios. By comparing the historica

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Paluš, M., D. Hartman, J. Hlinka, and M. Vejmelka. "Discerning connectivity from dynamics in climate networks." Nonlinear Processes in Geophysics 18, no. 5 (2011): 751–63. http://dx.doi.org/10.5194/npg-18-751-2011.

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Abstract. The bias due to dynamical memory (serial correlations) in an association/dependence measure (absolute cross-correlation) is demonstrated in model data and identified in time series of meteorological variables used for construction of climate networks. Accounting for such bias in inferring links of the climate network markedly changes the network topology and allows to observe previously hidden phenomena in climate network evolution.

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Arruda, Angela Maria de, Luana Nunes Centeno, and André Becker Nunes. "Relation Between Major Climatic Indices and Subseasonal Precipitation in Rio Grande do Sul State, Brazil." Meteorology 4, no. 1 (2025): 5. https://doi.org/10.3390/meteorology4010005.

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This study analyzed the correlation between climate indices—El Niño–Southern Oscillation (NINO34), Southern Oscillation Index (SOI), Antarctic Oscillation (AOC), Sea Surface Temperature in the southwestern Atlantic (ISSTRG2 + RG3), South Atlantic Subtropical High (SASH), Pacific Decadal Oscillation (PDO), and Madden–Julian Oscillation (MJO)—and precipitation in Rio Grande do Sul (RS) during 45-day subseasonal periods from 2006 to 2022. Precipitation data from 670 rain gauges were categorized into three clusters: cluster 1, located in western RS, displayed the lowest precipitation variation; cl

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B.B., Ogunbosoye,, Yahaya, A.T., Ogunbosoye, T.A., Abachi, Ungbo., Muhammed, M., and Abdullahi, A. "A Comparative Analysis of CRIN and NASA Climate Data for Evaluating the Impact of Climate Change in Nigeria." Asian Journal of Agricultural and Horticultural Research 12, no. 2 (2025): 286–92. https://doi.org/10.9734/ajahr/2025/v12i2386.

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The study evaluates the reliability of Cocoa Research Institute of Nigeria (CRIN) automatic weather station data in predicting the effect of climate change with National Aeronautics and Space Administration (NASA) data. The study utilised a comprehensive analysis of three key weather parameters, namely Average temperature, relative humidity, and rainfall, to provide strong evidence for the overall reliability of CRIN's automatic weather station. The result shows that Average Temperature correlation coefficients varied widely, from 0.2625 to 0.9853. Years like 2014, 2017, 2018, 2019 and 2020 sh

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Huang, Bicheng, Yu Huang, Dan Wu, et al. "The Influence of Vegetation on Climate Elements in Northwestern China." Atmosphere 15, no. 3 (2024): 325. http://dx.doi.org/10.3390/atmos15030325.

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Vegetation plays a crucial role in maintaining the balance between nature, water and soil resources. However, understanding its impact mechanisms in arid and semi-arid areas remains limited. This study aims to analyze the spatial–temporal characteristics of the vegetation leaf area index (LAI) and climate elements in typical regions of northwest China and the correlations between LAI and climate elements; it also aims to explore the influence of regional vegetation growth on climate change. The results reveal significant correlations between LAI and various climate elements. Specifically, with

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Berg, Alexis, Benjamin R. Lintner, Kirsten Findell, et al. "Interannual Coupling between Summertime Surface Temperature and Precipitation over Land: Processes and Implications for Climate Change*." Journal of Climate 28, no. 3 (2015): 1308–28. http://dx.doi.org/10.1175/jcli-d-14-00324.1.

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Abstract Widespread negative correlations between summertime-mean temperatures and precipitation over land regions are a well-known feature of terrestrial climate. This behavior has generally been interpreted in the context of soil moisture–atmosphere coupling, with soil moisture deficits associated with reduced rainfall leading to enhanced surface sensible heating and higher surface temperature. The present study revisits the genesis of these negative temperature–precipitation correlations using simulations from the Global Land–Atmosphere Coupling Experiment–phase 5 of the Coupled Model Inter

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Matei, Mirela, Adrian Stancu, and Predrag Vuković. "The climate change and agriculture – dimensions and correlations." Applied Studies in Agribusiness and Commerce 4, no. 3-4 (2010): 33–38. http://dx.doi.org/10.19041/apstract/2010/3-4/5.

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Global climate changes are taking place and its impacts on economy are already occurring in fields like tourism, agriculture, forestry, infrastructure, insurance industry or capital market. Specialists draw attention that climate change has negative effects and positive effects. For example, in some parts of Europe, especially in north, the agricultural may benefit from temperature rise increasing carbon dioxide levels in the atmosphere. The most important part of these changes is due to greenhouse gas (GHG) emissions from human activity. Between greenhouse gases, carbon dioxide (CO2) is the l

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LeBlanc, David C., and David W. Stahle. "Radial growth responses of four oak species to climate in eastern and central North America." Canadian Journal of Forest Research 45, no. 7 (2015): 793–804. http://dx.doi.org/10.1139/cjfr-2015-0020.

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This study characterized associations between climate variables and radial growth of four oak species at sites distributed across central and eastern North America. Tree-ring data were obtained from 24, 29, 33, and 55 sites for Quercus prinus L., Quercus velutina Lam., Quercus macrocarpa Michx., and Quercus stellate Wangenh., respectively. Pearson’s correlation coefficients were computed between radial growth and monthly and seasonal temperature and precipitation. Growth was most strongly and consistently correlated with precipitation and temperature during the early growing season (May to Jul

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Jiang, Haoyu, and Lin Mu. "Wave Climate from Spectra and Its Connections with Local and Remote Wind Climate." Journal of Physical Oceanography 49, no. 2 (2019): 543–59. http://dx.doi.org/10.1175/jpo-d-18-0149.1.

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AbstractWind-generated waves can propagate over large distances. Therefore, wave spectra from a fixed point can record information about air–sea interactions in distant areas. In this study, the spectral wave climate for a point in the tropical eastern Pacific Ocean is computed. Several well-defined wave climate systems are observed in the mean wave spectrum. Significant seasonal cycling, long-term trends, and correlations with the Southern Oscillation, the Arctic Oscillation, and the Antarctic Oscillation are observed in the local wave spectra, showing abundant climatic information. Projectio

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Girón-Gutiérrez, Dioseline, Jorge Méndez-González, Tamara G. Osorno-Sánchez, Julián Cerano-Paredes, José C. Soto-Correa, and Víctor H. Cambrón-Sandoval. "Climate as a Driver of Aboveground Biomass Density Variation: A Study of Ten Pine Species in Mexico." Forests 15, no. 7 (2024): 1160. http://dx.doi.org/10.3390/f15071160.

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The native pine species of Mexico, constituting 55% of all pine species, play a crucial economic role for local populations. Climatic factors affected by climate change, such as temperature and precipitation, influence tree physiology and distribution. Our study focused on the aboveground biomass density (AGBd) distribution of ten Mexican pine species and its correlation with bioclimatic variables. Dendrometric data were obtained from National Forest and Soil Inventory (INFyS) (period: 2009 and 2014) while data on bioclimatic variables were obtained from WorldClim2. AGBd distribution maps were

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Braithwaite, Roger J., and Ole В. Olesen. "Detection of Climate Signal by Inter-stake Correlations of Annual Ablation Data Qamanârssûp Sermia, West Greenland." Journal of Glaciology 35, no. 120 (1989): 253–59. http://dx.doi.org/10.3189/s0022143000004585.

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Abstract Annual ablation on Qamanârssûp sermia, West Greenland, varies with year and location. The time variation of ablation at any stake consists of climate signal and noise due to errors and local topography. Variations of ablation at different stakes are positively correlated with each other with inter-stake correlation coefficients depending on the relative magnitudes of climate signal and noise. Inter-stake correlations and noise are very sensitive to gross errors in the data, while climate signal is less sensitive. Low values of inter-stake correlations are used to detect suspect data,

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Oikawa, Akira, Katsutaka Takeuchi, Kei Morita, Yamato Horibe, Ryosuke Sasaki, and Hideki Murayama. "Effects of Climate Conditions before Harvest Date on Edamame Metabolome." Plants 13, no. 1 (2023): 87. http://dx.doi.org/10.3390/plants13010087.

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Edamame is a green soybean that is rich in nutrients. Boiled edamame has been traditionally used for food in the East Asia region. It was known among farmers that conditions, such as temperature and climate on the day of harvest, affect the quality of edamame. Large-scale farmers harvest edamame on multiple days in the same year; however, the quality of edamame varies from day to day due to variations in climate conditions. In this study, we harvested edamame over several days between 2013 and 2018, obtained the climate conditions on the harvest date, and performed metabolome analysis using ca

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Dätwyler, Christoph, Martin Grosjean, Nathan J. Steiger, and Raphael Neukom. "Teleconnections and relationship between the El Niño–Southern Oscillation (ENSO) and the Southern Annular Mode (SAM) in reconstructions and models over the past millennium." Climate of the Past 16, no. 2 (2020): 743–56. http://dx.doi.org/10.5194/cp-16-743-2020.

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Abstract. The climate of the Southern Hemisphere (SH) is strongly influenced by variations in the El Niño–Southern Oscillation (ENSO) and the Southern Annular Mode (SAM). Because of the limited length of instrumental records in most parts of the SH, very little is known about the relationship between these two key modes of variability over time. Using proxy-based reconstructions and last-millennium climate model simulations, we find that ENSO and SAM indices are mostly negatively correlated over the past millennium. Pseudo-proxy experiments indicate that currently available proxy records are a

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Wan, Yangtao, Han Han, Yao Mao, and Bao-Jie He. "Responses of Climatic Drought to Vegetation Cover Dynamics: A Case Study in Yunnan, China." Forests 15, no. 10 (2024): 1689. http://dx.doi.org/10.3390/f15101689.

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Vegetation cover can regulate regional climate and associated dry–wet variations. However, the effects of the quantitative structure and landscape pattern of vegetation cover on climatic drought remain unclear. Yunnan Province in China, with its abundant vegetation resources, provides a good setting for addressing this research gap. Our objective is to provide guiding recommendations for climate-warming mitigation through the study of the topic. This study adopted four periods of vegetation cover data, from 1992 to 2020, and explored their dynamics. Monthly average precipitation and temperatur

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Leung, Danny M., Amos P. K. Tai, Loretta J. Mickley, et al. "Synoptic meteorological modes of variability for fine particulate matter (PM<sub>2.5</sub>) air quality in major metropolitan regions of China." Atmospheric Chemistry and Physics 18, no. 9 (2018): 6733–48. http://dx.doi.org/10.5194/acp-18-6733-2018.

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Abstract. In his study, we use a combination of multivariate statistical methods to understand the relationships of PM2.5 with local meteorology and synoptic weather patterns in different regions of China across various timescales. Using June 2014 to May 2017 daily total PM2.5 observations from ∼ 1500 monitors, all deseasonalized and detrended to focus on synoptic-scale variations, we find strong correlations of daily PM2.5 with all selected meteorological variables (e.g., positive correlation with temperature but negative correlation with sea-level pressure throughout China; positive and nega

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Park, Joohee, Seulgi Kang, and Seongjoon Byeon. "Analysis of Regional Characteristics of Climate Change Factors Affecting Water Distribution Pipe Leakage." Sustainability 17, no. 2 (2025): 612. https://doi.org/10.3390/su17020612.

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Understanding the factors behind urban water leakage is crucial for developing a sustainable climate and protecting civil infrastructure. Water leaks not only waste essential resources but also increase urban vulnerabilities to climate-induced disasters. This study investigates the teleconnection between leakage incidents and climate change indices to establish predictive insight for water management. It focuses on climate phenomena such as El Niño–Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD), which significantly influence global climate dynamics, affecting temperature and precipi

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Chong, Curtis, Emily Huang, and Leon Chen. "Effects of Climate Change on Canadian Forest Fires." STEM Fellowship Journal 3, no. 2 (2017): 1–6. http://dx.doi.org/10.17975/sfj-2017-015.

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This study aimed to determine the effects of climate change on forest fire trends in Canada by measuring correlations between weather conditions, and the frequencies and sizes of forest fires. Upon identifying the correlations, a model was created to understand future forest fire trends in order to prevent the increasing occurrences of forest fires, and to devise solutions to reduce their damages. The data obtained from the Canadian National Fire Database was modeled with a linear regression to predict and correlate weather conditions with future forest fire trends. It was concluded that tempe

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Sultan, Benjamin, Aurélien Barriquault, Audrey Brouillet, Jérémy Lavarenne, and Montira Pongsiri. "Malnutrition and Climate in Niger: Findings from Climate Indices and Crop Yield Simulations." International Journal of Environmental Research and Public Health 22, no. 4 (2025): 551. https://doi.org/10.3390/ijerph22040551.

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Malnutrition, particularly its impact on child morbidity and mortality, is one of the top five health effects of climate change. However, quantifying the portion of malnutrition attributed to climate remains challenging due to various confounding factors. This study examines the relationship between climate and acute malnutrition in Niger, a country highly vulnerable to climate change and disasters. Since climate’s effect on malnutrition is indirect, mediated by crop production, we combine rainfall data from TAMSAT satellite estimates with the SARRA-O crop model, which simulates the impact of

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Li, Z., and T. Zhou. "Responses of vegetation growth to climate change in china." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 28, 2015): 225–29. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-225-2015.

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Global warming-related climate changes have significantly impacted the growth of terrestrial vegetation. Quantifying the spatiotemporal characteristic of the vegetation’s response to climate is crucial for assessing the potential impacts of climate change on vegetation. In this study, we employed the normalized difference vegetation index (NDVI) and the standardized precipitation evapotranspiration index (SPEI) that was calculated for various time scales (1 to 12 months) from monthly records of mean temperature and precipitation totals using 511 meteorological stations in China to study the re

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Trindade, M., T. Bell, C. P. Laroque, J. D. Jacobs, and L. Hermanutz. "Dendroclimatic response of a coastal alpine treeline ecotone: a multispecies perspective from LabradorThis article is a contribution to the series Tree recruitment, growth, and distribution at the circumpolar forest–tundra transition." Canadian Journal of Forest Research 41, no. 3 (2011): 469–78. http://dx.doi.org/10.1139/x10-192.

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Coastal alpine forests are highly vulnerable to oceanic climate trends, yet these diverse environmental interactions remain poorly understood. We used a multispecies perspective to try to better assess the radial growth response of alpine treeline species within the Northeast Atlantic region of North America to climate variables using bootstrapped correlation analysis. The four species present, black spruce (Picea mariana (Mill.) B.S.P.), white spruce (Picea glauca (Moench) Voss), balsam fir (Abies balsamea (L.) Mill.), and eastern larch (Larix laricina (Du Roi) K. Koch) were sampled in an eff

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Giovannettone, Jason, Franklin Paredes-Trejo, Venerando Eustáquio Amaro, and Carlos Antonio Costa dos Santos. "Assessing Potential Links between Climate Variability and Sea Levels along the Coasts of North America." Climate 11, no. 4 (2023): 80. http://dx.doi.org/10.3390/cli11040080.

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In order to better understand the extent to which global climate variability is linked to long-term mean and extreme sea level patterns, correlations between average sea levels at coastal sites throughout North America and low-frequency oscillations of several climate indices (CIs) were analyzed for the entire period of 1948–2018 as well as three equal-length sub-periods using correlation analysis. Correlation strength was assessed using Pearson’s correlation coefficient, while significance was estimated using Leave-One-Out Cross-Validation and a bootstrapping technique (p-value). The sliding

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Guan, Cong, Lingxue Yu, Fengqin Yan, and Shuwen Zhang. "Teleconnections between Snow Cover Change over Siberia and Crop Growth in Northeast China." Sustainability 12, no. 18 (2020): 7632. http://dx.doi.org/10.3390/su12187632.

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Snow cover is a sensitive indicator of climate change, and the variations in snow cover can influence the global climate system and terrestrial water cycling. However, the teleconnections between snow cover changes of the northern hemisphere and the crop growth of Northeast China (NEC) are less documented. In this study, we estimated the correlations between spring snow cover area over Siberia (SSCA) and the regional climate, as well as the crop growth in NEC based on both satellite measurement and observational climate records from 1982 to 2015. The local temperature, including minimum temper

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Strong, Wayne L. "Divergent Growth and Changing Climate Relationships of Boreal and Subalpine Spruce in Southern Yukon, Canada." ARCTIC 74, no. 4 (2022): 456–68. http://dx.doi.org/10.14430/arctic74289.

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Tree-ring data for 1942 – 2013 were used to determine if boreal and subalpine Picea albertiana S. Brown emend. Strong & Hills radial growth rates changed after 1950 in southern Yukon, northwest Canada. The latter year represented the beginning of accelerated atmospheric greenhouse gas accumulation, which has subsequently caused global climate changes. Ring-width chronologies for both boreal and subalpine trees were constructed using 80 trees. Individual ring-width sequences were crossdated, age-detrended, and converted to tree ring-width indices (RWI). In 2013, boreal and subalpine RWI wer

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Ankhofiya, Deanida, Dayinta Annisa Syaiful, and Endang Dwiyanti. "Relationship between Employees’ Characteristics and Occupational Safety Climate in Phosphoric Acid Industry." Indonesian Journal of Occupational Safety and Health 12, no. 1 (2023): 64–73. http://dx.doi.org/10.20473/ijosh.v12i1.2023.64-73.

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Introduction: The Indonesian government has issued, through the Ministry of Manpower, an announcement that occupational health and safety is the creation of a conducive employment climate. This research aims to determine the relationship between characteristics of employees (age, education level, and job title or position) and work safety climate in the Phosphoric Acid Industry. Method: This research is an observational study with quantitative method. The population of this research is the employees of the phosphoric acid plant in the Phosphoric Acid Industry, totaling 44 people and total samp

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Baigorria, Guillermo A. "Stochastic Models to Generate Geospatial-, Temporal-, and Cross-Correlated Daily Maximum and Minimum Temperatures." Advances in Meteorology 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/365362.

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Weather generators are tools used to downscale monthly to seasonal climate forecasts, from numerical climate models to daily values for use as inputs for crop and other environmental models. One main limitation of most of weather generators is that they do not incorporate neither the spatial/temporal correlations between/within sites nor the cross-correlations between variables, characteristics specially important when aggregating, for example, simulated crop yields, freeze events, or heat waves in a watershed or region. Three models were developed to generate realization of daily maximum and

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Škrk Dolar, Nina, Katarina Čufar, and Jernej Jevšenak. "Assessing climate-growth relationships with daily and monthly observational and gridded meteorological data." Les/Wood 73, no. 2 (2024): 63–74. https://doi.org/10.26614/les-wood.2024.v73n02a06.

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We compared climate-growth relationships by correlating tree-ring variation with daily and monthly meteorological data obtained from the stations of the Slovenian Environment Agency (ARSO) and modelled data from the SLOCLIM database. Tree-ring width series for analyses were obtained from previously collected European beech (Fagus sylvatica) tree-ring data from 30 sites all over Slovenia. Climate-growth correlations were calculated to evaluate whether daily meteorological data exhibits stronger correlations than monthly data. We also compared the maximum correlation coefficients using meteorolo

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Belokopytova, Liliana V., Dina F. Zhirnova, David M. Meko, Elena A. Babushkina, Eugene A. Vaganov, and Konstantin V. Krutovsky. "Tree Rings Reveal the Impact of Soil Temperature on Larch Growth in the Forest-Steppe of Siberia." Forests 12, no. 12 (2021): 1765. http://dx.doi.org/10.3390/f12121765.

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Dendroclimatology has focused mainly on the tree growth response to atmospheric variables. However, the roots of trees directly sense the “underground climate,” which can be expected to be no less important to tree growth. Data from two meteorological stations approximately 140 km apart in southern Siberia were applied to characterize the spatiotemporal dynamics of soil temperature and the statistical relationships of soil temperature to the aboveground climate and tree-ring width (TRW) chronologies of Larix sibirica Ledeb. from three forest–steppe stands. Correlation analysis revealed a depth

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Giovannettone, Jason. "Statistical Connections between Large-Scale Climate Indices and Observed Mean and Extreme Temperatures in the US from 1948 to 2018." Earth 4, no. 3 (2023): 522–39. http://dx.doi.org/10.3390/earth4030027.

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In order to better understand the extent to which global climate variability is linked to the frequency and intensity of heat waves and overall changes in temperature throughout the United States (US), correlations between long-term monthly mean, minimum, and maximum temperatures throughout the contiguous US on the one hand and low-frequency variability of multiple climate indices (CIs) on the other hand are analyzed for the period from 1948 to 2018. The Pearson’s correlation coefficient is used to assess correlation strength, while leave-one-out cross-validation and a bootstrapping technique

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Nooni, Isaac Kwesi, Faustin Katchele Ogou, Daniel Fiifi Tawiah Hagan, et al. "The Relationship between Changes in Hydro-Climate Factors and Maize Crop Production in the Equatorial African Region from 1980 to 2021." Atmosphere 15, no. 5 (2024): 542. http://dx.doi.org/10.3390/atmos15050542.

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Agricultural production across the African continent is subjected to various effects of climate variability. One of the main staple foods in Sub-Saharan Africa is maize. However, limited scientific research has recently focused on understanding the possible effects of hydro-climatic variability on maize production. The aim of the present work was to contribute to policy and climate adaptation, thus reducing the vulnerability of maize production to climate change over Equatorial Africa. This study firstly examined long-term trends of precipitation (PRE), soil moisture (SM), actual evapotranspir

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Franzke, Christian, and Andrew J. Majda. "Low-Order Stochastic Mode Reduction for a Prototype Atmospheric GCM." Journal of the Atmospheric Sciences 63, no. 2 (2006): 457–79. http://dx.doi.org/10.1175/jas3633.1.

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Abstract This study applies a systematic strategy for stochastic modeling of atmospheric low-frequency variability to a three-layer quasigeostrophic model. This model climate has reasonable approximations of the North Atlantic Oscillation (NAO) and Pacific–North America (PNA) patterns. The systematic strategy consists first of the identification of slowly evolving climate modes and faster evolving nonclimate modes by use of an empirical orthogonal function (EOF) decomposition in the total energy metric. The low-order stochastic climate model predicts the evolution of these climate modes a prio

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Gao, Meng, Xiaoyu Fang, Ruijun Ge, You-ping Fan, and Yueqi Wang. "Multiple serial correlations in global air temperature anomaly time series." PLOS ONE 19, no. 7 (2024): e0306694. http://dx.doi.org/10.1371/journal.pone.0306694.

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Serial correlations within temperature time series serve as indicators of the temporal consistency of climate events. This study delves into the serial correlations embedded in global surface air temperature (SAT) data. Initially, we preprocess the SAT time series to eradicate seasonal patterns and linear trends, resulting in the SAT anomaly time series, which encapsulates the inherent variability of Earth’s climate system. Employing diverse statistical techniques, we identify three distinct types of serial correlations: short-term, long-term, and nonlinear. To identify short-term correlations

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Almeida-Ñauñay, Andrés F., Rosa María Benito, Miguel Quemada, Juan Carlos Losada, and Ana M. Tarquis. "The Vegetation–Climate System Complexity through Recurrence Analysis." Entropy 23, no. 5 (2021): 559. http://dx.doi.org/10.3390/e23050559.

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Multiple studies revealed that pasture grasslands are a time-varying complex ecological system. Climate variables regulate vegetation growing, being precipitation and temperature the most critical driver factors. This work aims to assess the response of two different Vegetation Indices (VIs) to the temporal dynamics of temperature and precipitation in a semiarid area. Two Mediterranean grasslands zones situated in the center of Spain were selected to accomplish this goal. Correlations and cross-correlations between VI and each climatic variable were computed. Different lagged responses of each

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Aykroyd, R. G., D. Lucy, A. M. Pollard, A. H. C. Carter, and I. Robertson. "Temporal variability in the strength of proxy-climate correlations." Geophysical Research Letters 28, no. 8 (2001): 1559–62. http://dx.doi.org/10.1029/2000gl012570.

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Gumińska, Anna. "Correlations between Climate Change and the Modern European Construction." IOP Conference Series: Materials Science and Engineering 245 (October 2017): 062026. http://dx.doi.org/10.1088/1757-899x/245/6/062026.

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Dahlberg, C. Johan, Johan Ehrlén, Ditte Marie Christiansen, Eric Meineri, and Kristoffer Hylander. "Correlations between plant climate optima across different spatial scales." Environmental and Experimental Botany 170 (February 2020): 103899. http://dx.doi.org/10.1016/j.envexpbot.2019.103899.

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Vorobets, Nataliya, K. Voloshchuk, and N. Kalinovych. "Birch pollen counts in Lviv city: correlations with climate." Allergo Journal 22, no. 7 (2013): 491–92. http://dx.doi.org/10.1007/s15007-013-0398-3.

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Parikh, N. L., J. B. Patel, and N. H. Usadadiya. "CORRELATION AND REGRESSION ANALYSIS OF WOMEN FARMERS’ CHARACTERISTICS AND THEIR SENSITIVITY TOWARDS EFFECTS OF CLIMATE CHANGE ON CEREAL CROPS." Gujarat Journal of Extension Education 38, no. 2 (2024): 102–5. https://doi.org/10.56572/gjoee.2024.38.2.0016.

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Climate change significantly impacts agricultural systems, particularly in rainfed regions like Dahod district, Gujarat, India, where cereal crops such as maize form the dietary staple. Women farmers, integral to smallholder agricultural systems, are highly vulnerable to climate change due to socio-economic constraints, limited resource access and a reliance on climate-sensitive livelihoods. This study examines the how women farmers’ characteristics affect the sensitivity towards effect of climate change. The study utilized an ex-post-facto research design, selecting 40 women farmers from two

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Bretherton, Christopher S., and Peter M. Caldwell. "Combining Emergent Constraints for Climate Sensitivity." Journal of Climate 33, no. 17 (2020): 7413–30. http://dx.doi.org/10.1175/jcli-d-19-0911.1.

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AbstractA method is proposed for combining information from several emergent constraints into a probabilistic estimate for a climate sensitivity proxy Y such as equilibrium climate sensitivity (ECS). The method is based on fitting a multivariate Gaussian PDF for Y and the emergent constraints using an ensemble of global climate models (GCMs); it can be viewed as a form of multiple linear regression of Y on the constraints. The method accounts for uncertainties in sampling this multidimensional PDF with a small number of models, for observational uncertainties in the constraints, and for overco

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Kim, Minseok, and Eungul Lee. "Validation and Comparison of Climate Reanalysis Data in the East Asian Monsoon Region." Atmosphere 13, no. 10 (2022): 1589. http://dx.doi.org/10.3390/atmos13101589.

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Understanding East Asian monsoon (EAM) has been a crucial issue due to its socio-economic effects on one-fifth of the world’s population and its interactions with the global climate system. However, the reliabilities of climate reanalysis data are still uncertain at varying temporal and spatial scales. In this study, we examined the correlations and differences for climate reanalyses with weather observations and suggested the best climate reanalysis for the EAM region. The three reanalyses of ERA5, JRA55, and NCEP2 along with a gridded observation (CRU) were evaluated using the correlation co

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