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Journal articles on the topic 'CRU TS'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Faisol, Arif, Bertha Ollin Paga, and Baso Daeng. "Komparasi Dataset Suhu Udara Berbasis Penginderaan Jauh Dalam Mengestimasi Suhu Udara Bulanan di Provinsi Papua Barat." Rona Teknik Pertanian 15, no. 1 (2022): 71–84. http://dx.doi.org/10.17969/rtp.v15i1.25319.

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Abstrak. Pada umumnya data suhu udara diperoleh dari hasil pengamatan pada stasiun iklim Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). Metode ini dapat digunakan untuk merepresentasikan suhu udara suatu wilayah yang berada pada radius ≤ 10 km dari lokasi stasiun iklim, sehingga dibutuhkan sebuah solusi alternatif untuk mendapatkan data suhu udara yang dapat merepresentasikan wilayah yang lebih luas, salah satunya memanfaatkan dataset suhu udara berbasis penginderaan jauh. Penelitian ini bertujuan membandingkan performa sejumlah dataset suhu udara berbasis penginderaan jauh, yaitu Clima

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2

Quaye-Ballard, Jonathan Arthur, Ru An, Richard Ruan, Kwaku Amaning Adjei, and Samuel Akorful-Andam. "Validation of Climate Research Unit High Resolution Time-Series Rainfall Data over Three Source Region: Results of 52 Years." Advanced Materials Research 726-731 (August 2013): 3542–46. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.3542.

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The purpose of this paper was to validate the rainfall data of Climate Research Unit high resolution Time-Series version 3.1 (CRU TS 3.1) with meteorological ground-based Rain Gauge (RG) measurements and determine the possibility of its integration with ground-measured rainfall. The research primarily advocates on the need for complementing ground-based datasets with CRU TS 3.1global datasets for sustainable studies in protecting the environment. The Source Region of the Yellow, Yangtse and Lancang Rivers (SRYYLR), China was taken as the study area. The data was validated by using the data fro

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Pepin, N. C., M. Losleben, M. Hartman, and K. Chowanski. "A Comparison of SNOTEL and GHCN/CRU Surface Temperatures with Free-Air Temperatures at High Elevations in the Western United States: Data Compatibility and Trends." Journal of Climate 18, no. 12 (2005): 1967–85. http://dx.doi.org/10.1175/jcli3375.1.

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Abstract This paper compares high-elevation surface temperatures based on the Global Historical Climate Network/Climatic Research Unit (GHCN/CRU) and snow telemetry (SNOTEL) datasets, with simultaneous free-air equivalent temperatures, interpolated from NCEP–NCAR reanalysis. Mean monthly temperature anomalies from 1982 to 1999 are examined for 60 SNOTEL and 296 GHCN/CRU sites at elevations over 500 m with relatively homogenous records. The surface/free-air temperature difference ΔT (Ts − Ta) is calculated for both the SNOTEL and GHCN/CRU datasets. Topography influences the correlation between

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Goerlich Gisbert, Francisco J. "Datos climáticos históricos para las regiones españolas. CRU TS 2.1." Investigaciones de Historia Económica 8, no. 1 (2012): 29–40. http://dx.doi.org/10.1016/j.ihe.2011.07.001.

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Tananaev, N. I. "Selection of the best-performing climate reanalysis model for the Republic of Sakha (Yakutia) based on mean annual precipitation." Arctic and Subarctic Natural Resources 30, no. 1 (2025): 61–72. https://doi.org/10.31242/2618-9712-2025-30-1-61-72.

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Regional scenario-based projections require a comprehensive understanding of baseline climatic conditions, particularly the spatial distribution of total mean annual precipitation within the region. Precipitation data from 40 meteorological stations across the Republic of Sakha (Yakutia) for the period from 1961 to 2020 were used to evaluate the performance of modern reanalyses: CRU TS, ERA5-Land, GPCC, NCEP-NCAR, PREC/L, and JRA55. The performance of each model was assessed by comparing the observed mean annual precipitation to the reanalysis field values in pixels corresponding to the locati

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Meng, Jinyu, Zengchuan Dong, Guobin Fu, et al. "Spatial and Temporal Evolution of Precipitation in the Bahr el Ghazal River Basin, Africa." Remote Sensing 16, no. 9 (2024): 1638. http://dx.doi.org/10.3390/rs16091638.

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Accurate and punctual precipitation data are fundamental to understanding regional hydrology and are a critical reference point for regional flood control. The aims of this study are to evaluate the performance of three widely used precipitation datasets—CRU TS, ERA5, and NCEP—as potential alternatives for hydrological applications in the Bahr el Ghazal River Basin in South Sudan, Africa. This includes examining the spatial and temporal evolution of regional precipitation using relatively accurate precipitation datasets. The findings indicate that CRU TS is the best precipitation dataset in th

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Mutti, Pedro R., Vincent Dubreuil, Bergson G. Bezerra, Damien Arvor, Cristiano P. de Oliveira, and Cláudio M. Santos e Silva. "Assessment of Gridded CRU TS Data for Long-Term Climatic Water Balance Monitoring over the São Francisco Watershed, Brazil." Atmosphere 11, no. 11 (2020): 1207. http://dx.doi.org/10.3390/atmos11111207.

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Understanding the long-term behavior of rainfall and potential evapotranspiration (PET) over watersheds is crucial for the monitoring of hydrometeorological processes and climate change at the regional scale. The São Francisco watershed (SFW) in Brazil is an important hydrological system that transports water from humid regions throughout the Brazilian semiarid region. However, long-term, gapless meteorological data with good spatial coverage in the region are not available. Thus, gridded datasets, such as the Climate Research Unit TimeSeries (CRU TS), can be used as alternative sources of inf

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Musyimi, Peter K., Balázs Székely, Arun Gandhi, and Tamás Weidinger. "Standardized precipitation index analysis and drought frequency tendencies in lower eastern counties of Kenya." Időjárás 128, no. 3 (2024): 287–308. http://dx.doi.org/10.28974/idojaras.2024.3.1.

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The standardized precipitation index (SPI) is a fundamental indicator of meteorological, hydrological, and agricultural droughts in the world. This study aims to evaluate different timescales, 3 months (SPI-3), 6 months (SPI-6), 9 months (SPI-9), and 12 months (SPI-12) indices from meteorological data in quantifying drought characterization in lower eastern counties of Kenya from 1990 to 2018 for observed data and from 1986 to 2018 for Climatic Research Unit Time Series (CRU) data. Precipitation in-situ data (annual) and high-resolution (0.5 × 0.5 degree grid) monthly-scale precipitation data

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Salvacion, Arnold R., Damasa B. Magcale-Macandog, Pompe C. Sta Cruz, Ronaldo B. Saludes, Ireneo B. Pangga, and Christian Joseph R. Cumagun. "Evaluation and spatial downscaling of CRU TS precipitation data in the Philippines." Modeling Earth Systems and Environment 4, no. 3 (2018): 891–98. http://dx.doi.org/10.1007/s40808-018-0477-2.

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Reuten, Christian, R. Dan Moore, and Garry K. C. Clarke. "Quantifying Differences between 2-m Temperature Observations and Reanalysis Pressure-Level Temperatures in Northwestern North America." Journal of Applied Meteorology and Climatology 50, no. 4 (2011): 916–29. http://dx.doi.org/10.1175/2010jamc2498.1.

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AbstractIn northwestern North America, which is a large area with complex physiography, Climatic Research Unit (CRU) Time Series, version 2.1, (TS 2.1) gridded monthly mean 2-m temperatures are systematically lower than interpolated monthly averaged North American Regional Reanalysis (NARR) pressure-level temperatures––in particular, in the winter. Quantification of these differences based on CRU gridded observations can be used to estimate pressure-level temperatures from CRU 2-m temperatures (1901–2002) that predate the NARR period (since 1979). Such twentieth-century pressure-level temperat

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Tamaddun, Kazi Ali, Ajay Kalra, Sanjiv Kumar, and Sajjad Ahmad. "CMIP5 Models’ Ability to Capture Observed Trends under the Influence of Shifts and Persistence: An In-Depth Study on the Colorado River Basin." Journal of Applied Meteorology and Climatology 58, no. 8 (2019): 1677–88. http://dx.doi.org/10.1175/jamc-d-18-0251.1.

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AbstractThis study evaluated the ability of phase 5 of the Coupled Model Intercomparison Project (CMIP5) to capture observed trends under the influence of shifts and persistence in their data distributions. A total of 41 temperature and 25 precipitation CMIP5 simulation models across 22 grid cells (2.5° × 2.5° squares) within the Colorado River basin were analyzed and compared with the Climate Research Unit Time Series (CRU-TS) observed datasets over a study period of 104 years (from 1901 to 2004). Both the modeled simulations and observations were tested for shifts, and the time series before

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Manvailer, Vinicius, and Andreas Hamann. "Validation of global precipitation time series products against tree ring records and remotely sensed vegetation greenness." PLOS ONE 19, no. 2 (2024): e0299111. http://dx.doi.org/10.1371/journal.pone.0299111.

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Global interpolated climate products are widely used in ecological research to investigate biosphere-climate interactions and to track ecological response to climate variability and climate change. In turn, biological data could also be used for an independent validation of one aspect of climate data quality. All else being equal, more variance explained in biological data identifies the better climate data product. Here, we compare seven global precipitation time series products, including gauge-based datasets (CRU-TS, UDEL-TS, GPCC), re-analysis products (ERA5, CHELSA), a satellite-based dat

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Matveev, Stefan. "Mathematical-Cartographic Modeling of Climate Dynamics in the Rostov Region using Global Meteorological Data." Natural Systems and Resources, no. 1 (June 2023): 31–38. http://dx.doi.org/10.15688/nsr.jvolsu.2023.1.5.

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The scientific work presents mathematical and cartographic modeling of the climate dynamics of the Rostov region using the global meteorological product CRU TS version 4.06 in the period from 2020 to 2040. The work used CRU TS global climate data from 1960 to 2020 to model data for 2030 and 2040. A technique for mathematical-cartographic modeling of climate dynamics based on global climate products is presented. Using the geographic information system QGIS version 3.18, raster images were vectorized, which made it possible to export them to a MS Excel spreadsheet. Based on the data obtained, 2

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Peng, Jian, Simon Dadson, Feyera Hirpa, et al. "A pan-African high-resolution drought index dataset." Earth System Science Data 12, no. 1 (2020): 753–69. http://dx.doi.org/10.5194/essd-12-753-2020.

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Abstract. Droughts in Africa cause severe problems, such as crop failure, food shortages, famine, epidemics and even mass migration. To minimize the effects of drought on water and food security on Africa, a high-resolution drought dataset is essential to establish robust drought hazard probabilities and to assess drought vulnerability considering a multi- and cross-sectional perspective that includes crops, hydrological systems, rangeland and environmental systems. Such assessments are essential for policymakers, their advisors and other stakeholders to respond to the pressing humanitarian is

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Gulakhmadov, Aminjon, Xi Chen, Manuchekhr Gulakhmadov, et al. "Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia." Atmosphere 12, no. 10 (2021): 1334. http://dx.doi.org/10.3390/atmos12101334.

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In this study, the applicability of three gridded datasets was evaluated (Climatic Research Unit (CRU) Time Series (TS) 3.1, “Asian Precipitation—Highly Resolved Observational Data Integration Toward the Evaluation of Water Resources” (APHRODITE)_V1101, and the climate forecast system reanalysis dataset (CFSR)) in different combinations against observational data for predicting the hydrology of the Upper Vakhsh River Basin (UVRB) in Central Asia. Water balance components were computed, the results calibrated with the SUFI-2 approach using the calibration of soil and water assessment tool model

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Odigwe, M., S. I. Efe, and A. O. Atubi. "A Statistical Discourse of the Climate of the Niger Delta Region of Nigeria." Journal of Management and Social Science Research 1, no. 1/2 (2020): 15–33. http://dx.doi.org/10.47524/jmssr.11.4.

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The study aimed at investigating the climate of the Niger Delta Region (NDR) of Nigeria. This is to ascertain the variations in rainfall and temperature in the Niger Delta Region. The study utilized the ex-post facto research design. The study utilized the annual rainfall and temperature time series data from 1925 – 2018 periods. That was generated from the archive of the Climate Research Unit (CRU) Ts 4.03 using Google earth. The grided points of 5ox5o high resolution of thirty-two (32) CRU Ts 4.03 stations were utilized for the study. In order to analyse the data on rainfall and temperature

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Muhaimeed, Ahmad S., Mohamed Nassar, and Basem Katalan. "Threats of Climate Change in Arab Gulf Countries." Journal of Scientific Research and Reports 31, no. 7 (2025): 207–30. https://doi.org/10.9734/jsrr/2025/v31i73242.

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This study aims to investigate the changes and trends in the regional climate of the Arab Gulf countries concerning temperatures, rainfall, and water lost through evapotranspiration over the last four decades, specifically for the period 1981-2020. The Climate Research Unit (CRU-TS) dataset provides essential, detailed meteorological information for researching climate change in the Gulf Countries. The CRU-TS dataset, consisting of 45 gridded stations operating at a 0.5-degree interval, was statistically analyzed to identify potential trends in mean annual temperature, rainfall, and PET using

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Calbó, J., and A. Sanchez-Lorenzo. "Cloudiness climatology in the Iberian Peninsula from three global gridded datasets (ISCCP, CRU TS 2.1, ERA-40)." Theoretical and Applied Climatology 96, no. 1-2 (2008): 105–15. http://dx.doi.org/10.1007/s00704-008-0039-z.

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Ababaei, Behnam. "SPATIO‐TEMPORAL VARIATIONS OF SEVEN WEATHER VARIABLES IN IRAN: APPLICATION OF CRU TS AND GPCC DATA SETS †." Irrigation and Drainage 69, no. 1 (2020): 164–85. http://dx.doi.org/10.1002/ird.2399.

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Abbas, Haider, Wenlong Song, Yicheng Wang, et al. "Validation of CRU TS v4.08, ERA5-Land, IMERG v07B, and MSWEP v2.8 Precipitation Estimates Against Observed Values over Pakistan." Remote Sensing 16, no. 24 (2024): 4803. https://doi.org/10.3390/rs16244803.

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Global precipitation products (GPPs) are vital in weather forecasting, efficient water management, and monitoring floods and droughts. However, the precision of these datasets varies considerably across different climatic regions and topographic conditions. Therefore, the accuracy assessment of the precipitation dataset is crucial at the local scale before its application. The current study initially compared the performance of recently modified and upgraded precipitation datasets, including Climate Research Unit Time-Series (CRU TS v4.08), fifth-generation ERA5-Land (ERA-5), Integrated Multi-

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Shi, Haiyun, Tiejian Li, and Jiahua Wei. "Evaluation of the gridded CRU TS precipitation dataset with the point raingauge records over the Three-River Headwaters Region." Journal of Hydrology 548 (May 2017): 322–32. http://dx.doi.org/10.1016/j.jhydrol.2017.03.017.

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Collins, Brian, Hadi Ramezani Etedali, Ameneh Tavakol, and Abbas Kaviani. "Spatiotemporal variations of evapotranspiration and reference crop water requirement over 1957–2016 in Iran based on CRU TS gridded dataset." Journal of Arid Land 13, no. 8 (2021): 858–78. http://dx.doi.org/10.1007/s40333-021-0103-4.

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DAS, PRIYANKA, PABITRA BANIK, and KRISHNA CHANDRA RATH. "Precipitation extremes and anomalies of the Indian Sundarban 1984-2018." MAUSAM 72, no. 4 (2021): 847–58. http://dx.doi.org/10.54302/mausam.v72i4.3552.

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Gridded precipitation data products of 0.5º × 0.5º spatial resolution were analysed to understand the climatic variability in a spatial and temporal context. Data reliability of processed gridded data products were examined in the absence of gauge station data observations in the study area. However, the implementations of comparative analysis of the spatial and temporal data products in this study area are missing. The NASA Power Data (NPD) and Climate Research Unit (CRU TS 4.03) Data were scrutinized from 1984-2018. The data products were selected, compared, and interpreted grid wise. Annual

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Sperna Weiland, F. C., L. P. H. van Beek, J. C. J. Kwadijk, and M. F. P. Bierkens. "The ability of a GCM-forced hydrological model to reproduce global discharge variability." Hydrology and Earth System Sciences 14, no. 8 (2010): 1595–621. http://dx.doi.org/10.5194/hess-14-1595-2010.

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Abstract. Data from General Circulation Models (GCMs) are often used to investigate hydrological impacts of climate change. However GCM data are known to have large biases, especially for precipitation. In this study the usefulness of GCM data for hydrological studies, with focus on discharge variability and extremes, was tested by using bias-corrected daily climate data of the 20CM3 control experiment from a selection of twelve GCMs as input to the global hydrological model PCR-GLOBWB. Results of these runs were compared with discharge observations of the GRDC and discharges calculated from m

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Emeribe, C. N., E. T. Ogbomida, and J. O. Enoma-Calus. "Climatic Variability and Estimation of Supplementary Irrigation Water Needs of Selected Food Crops in the Sokoto-Rima River Basin, Nigeria." March 2019 3, no. 1 (2019): 86–104. http://dx.doi.org/10.36263/nijest.2019.01.0111.

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The study investigated the effects of rainfall and temperature variability on crop water requirements of selected food crops in the Sokoto-Rima River Basin, Northwest of Nigeria. Rainfall and temperature datasets were obtained from the Climatic Research Unit (CRU) TS 3.21 of the University of East Anglia, Norwich, for a period of 70 years (1943-2012). The suitability of CRU datasets were verified by correlating the datasets with measured rainfall data of Yelwa synoptic station, from the Nigerian Meteorological Agency. Selected food crops were used for estimating supplementary irrigation water

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Yu, Yuanhe, Huan Deng, Shupeng Gao, and Jinliang Wang. "Drought Evolution in the Yangtze and Yellow River Basins and Its Dual Impact on Ecosystem Carbon Sequestration." Agriculture 15, no. 14 (2025): 1552. https://doi.org/10.3390/agriculture15141552.

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As an extreme event driven by global climate change, drought poses a severe threat to terrestrial ecosystems. The Yangtze River Basin (YZRB) and Yellow River Basin (YRB) are key ecological barriers and economic zones in China, holding strategic importance for exploring the evolution of drought patterns and their ecological impacts. Using meteorological station data and Climatic Research Unit Gridded Time Series (CRU TS) data, this study analyzed the spatiotemporal characteristics of drought evolution in the YZRB and YRB from 1961 to 2021 using the standardized precipitation evapotranspiration

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Mareta, L., HM Agiel, and T. Hadiningrum. "Historical and projected rainfall climatology in Sumatra based on the CMIP6." IOP Conference Series: Earth and Environmental Science 1359, no. 1 (2024): 012089. http://dx.doi.org/10.1088/1755-1315/1359/1/012089.

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Abstract Sumatra is the largest island in Indonesia and has a vital role in maintaining Indonesia’s food security. Deformation on the island of Sumatra has resulted in severe seasonal haze. Apart from this, the deformation has also caused the Climate, especially rainfall in Sumatra, to change, thereby disrupting agricultural processes, which have disrupted food security in Sumatra. We can compare the historical and projected monthly rainfall climatology to see changes in rainfall patterns in Sumatra. The monthly rainfall climatology is the average rainfall over at least 30 years. Monthly rainf

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Shouzhang, Peng. "High-spatial-resolution monthly temperatures dataset over China during 1901–2017." Earth System Science Data 11, no. 4 (2019): 1931–46. https://doi.org/10.5281/zenodo.3185722.

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The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta downscaling method, including monthly minimum, maximum, and mean temperatures from 1901.1 to 2017.12. The dataset covers the main land area of China. The dataset was evaluated by 496 national weather stations across China, and the evaluation indicated that the downscaled dataset is reliable for the investigations related to climate change across China. Another data download site is Loess plateau Scientific Data Center (http://loess.geodata.cn/). This is a Chinese website. This website publishes the

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Gorgin Paveh, Faraz, Hadi Ramezani Etedali, and Brian Collins. "Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province, Iran." Journal of Arid Land 14, no. 12 (2022): 1361–76. http://dx.doi.org/10.1007/s40333-022-0108-7.

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Fiedler, K., and P. Döll. "Global modelling of continental water storage changes – sensitivity to different climate data sets." Advances in Geosciences 11 (June 11, 2007): 63–68. http://dx.doi.org/10.5194/adgeo-11-63-2007.

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Abstract. Since 2002, the GRACE satellite mission provides estimates of the Earth's dynamic gravity field with unprecedented accuracy. Differences between monthly gravity fields contain a clear hydrological signal due to continental water storage changes. In order to evaluate GRACE results, the state-of-the-art WaterGAP Global Hydrological Model (WGHM) is applied to calculate terrestrial water storage changes on a global scale. WGHM is driven by different climate data sets to analyse especially the influence of different precipitation data on calculated water storage. The data sets used are th

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Ondiek, Renish Awuor, Mohamed Saber, and Mohammed Abdel-Fattah. "Spatial–Temporal Analysis of Impacts of Climate Variability on Maize Yield in Kenya." Agriculture 14, no. 8 (2024): 1415. http://dx.doi.org/10.3390/agriculture14081415.

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This study examined the spatial temporal impacts of climate variability on maize yield in Kenya. The maize yield data were obtained from the Kenya Maize Yield Database while climatic variable data were obtained from the Climatic Research Unit gridded Time Series (CRU TS) with a spatial resolution of 0.5° × 0.5°. The non-parametric Mann–Kendall and Sen’s slope tests showed no trend in the data for maximum temperature, minimum temperature and precipitation. The spatial maps patterns highlight the rampancy of wetter areas in the Lake Victoria basin and Highlands East of Rift Valley compared to ot

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Ofudjaye Emmanuel, Ndakara, and Eyefia Oghenerukevwe Alexander. "Variability Of Rainfall And Temperature Distributions In Delta State, Nigeria." Global Journal of Social Sciences 23, no. 1 (2024): 1–15. http://dx.doi.org/10.4314/gjss.v23i1.1.

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The knowledge of variability in climatic attributes is necessary for the evaluation of their distributions within regions. This research investigated the distributions and how rainfall and temperature (R&T) varied across the Delta State region of Nigeria. The research design employed is the ex post facto. The study employed yearly and monthly (R&T) data gotten from the Climate Research Unit (CRU) through Google earth, and Time-Series (TS) monthly climate variation data from January, 1901 to December, 2019. Statistical analysis involved the mean, climographs, Analysis of variance (ANOVA

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Magara, Genesis, Abraham Okrah, Yawlui Ignatius Senyo Yao, et al. "A Quantitative Assessment of Drought Trends in Uganda Using Statistical Models for Hydrological Indicators." International Journal of Environment and Climate Change 15, no. 2 (2025): 517–37. https://doi.org/10.9734/ijecc/2025/v15i24744.

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This study investigates drought patterns in Uganda's Eastern (E), Northeastern (NE), Northwestern (NW), and Southwestern (SW) regions, focusing on the frequency, intensity, and duration of drought events and their impacts on water resources, agriculture, and livelihoods. Using data from ERA5, GPCC, and CRU TS (1960–2020), the study applies the Standardized Precipitation Index (SPI), Standardized Precipitation-Evapotranspiration Index (SPEI), and Standardized Runoff Index (SRI) to analyze drought trends. Ordinary Least Squares (OLS) regression and random forest models identify key predictors of

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Bartolini, E., P. Claps, and P. D'Odorico. "Interannual variability of winter precipitation in the European Alps: relations with the North Atlantic Oscillation." Hydrology and Earth System Sciences Discussions 5, no. 4 (2008): 2045–65. http://dx.doi.org/10.5194/hessd-5-2045-2008.

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Abstract. The European Alps rely on winter precipitation for various needs in terms of hydropower and other water uses. Major European rivers originate from the Alps and rely on winter precipitation and the consequent spring snow melt for their summer base flows. Understanding the fluctuations in winter rainfall in this region is crucially important to the study of changes in hydrologic regime in streams and rivers, as well as to the management of their water resources. Despite the recognized relevance of winter precipitation to the water resources of the Alps and surrounding regions, the magn

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Bartolini, E., P. Claps, and P. D'Odorico. "Interannual variability of winter precipitation in the European Alps: relations with the North Atlantic Oscillation." Hydrology and Earth System Sciences 13, no. 1 (2009): 17–25. http://dx.doi.org/10.5194/hess-13-17-2009.

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Abstract. The European Alps rely on winter precipitation for various needs in terms of hydropower and other water uses. Major European rivers originate from the Alps and depend on winter precipitation and the consequent spring snow melt for their summer base flows. Understanding the fluctuations in winter rainfall in this region is crucially important to the study of changes in hydrologic regime in river basins, as well as to the management of their water resources. Despite the recognized relevance of winter precipitation to the water resources of the Alps and surrounding regions, the magnitud

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Haag, Isabell, Philip D. Jones, and Cyrus Samimi. "Central Asia’s Changing Climate: How Temperature and Precipitation Have Changed across Time, Space, and Altitude." Climate 7, no. 10 (2019): 123. http://dx.doi.org/10.3390/cli7100123.

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Changes in climate can be favorable as well as detrimental for natural and anthropogenic systems. Temperatures in Central Asia have risen significantly within the last decades whereas mean precipitation remains almost unchanged. However, climatic trends can vary greatly between different subregions, across altitudinal levels, and within seasons. Investigating in the seasonally and spatially differentiated trend characteristics amplifies the knowledge of regional climate change and fosters the understanding of potential impacts on social, ecological, and natural systems. Considering the known l

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S. Ighovie, Efe, Esosuakpo E. Evelyn, and Awaritefe O. D. "Correlation of Rainfall on Tuberculosis Distribution in South-Southern Nigeria." Journal of Management and Social Science Research 4, no. 1 (2023): 1–7. http://dx.doi.org/10.47524/jmssr.v4i1.2.

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The study examines the problem of rainfall on the prevalence of tuberculosis (TB) in the South-Southern Nigeria. It correlates rainfall with the prevalence of TB in the six states (Cross River, Bayelsa, Rivers, Edo, Akwa Ibom, and Delta) of southern Nigeria. It adopted a survey design of government hospitals and climatic research unit gridded time series (CRU TS), and the National Aeronautics and Space Administration (NASA) from 1991-2021. Statistical diagrams and simple regression techniques were adopted for the study. The results displayed an annual rainfall of 2391mm and a total 695, 959 ca

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Atuma, Ifeanyi Morrison, Sunday Ighovie Efe, and Ofudjaye Emmanuel Ndakara. "Temperature trend in Niger Delta Region, Nigeria." Journal of Management and Social Science Research 4, no. 1 (2023): 29–39. http://dx.doi.org/10.47524/jmssr.v4i1.30.

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The study was set to examine the temperature trend in Nigeria's Niger Delta region, Nigeria using a descriptive research design. Six (6) States in the Niger Delta Region (Bayelsa, Rivers, Akwa Ibom, Cross River, Edo and Delta States [BRACED]) were selected for the study. The study utilized the annual temperature data gathered from the Climate Research Unit (CRU) Ts 4.06 at 5o x 5o latitude and longitude grids point. The results show that the Niger Delta region had a temperature of 26.3oC.The outcomes of the Mann-Kendall test revealed that a considerable rising trend exists in temperature in Ba

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Alawadi, Wisam, Ayman Alak Hassan, and Ammar Dakhil. "Evaluation of Grid-Based Aridity Indices in Classifying Aridity Zones in Iraq." Nature Environment and Pollution Technology 23, no. 2 (2024): 1151–60. http://dx.doi.org/10.46488/nept.2024.v23i02.049.

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In this study, the aridity index (AI) based on gridded climate data was validated for defining aridity and classifying aridity zones in Iraq through comparison with the results obtained by the station-based aridity index. Gauge-based gridded climate data taken from Climatic Research Unit Timeseries (CRU TS) were used to determine the annual value of four aridity indices (Lang, De Martonne, Ernic and UNEP AI) over the period 1998-2011. The results showed that the aridity distribution maps derived using grid-based aridity indices were reasonably close to those found using station-based ones. The

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Kouhi, Mansoureh, Zahra Shirmohammadi aliakbarkhani, Azadeh Mohamadian, and Majid Habibi Nokhandan. "Study of Spatial and Temporal Characteristics of ETo and Temperature in Khorasan Razavi Province Using CRU TS Dataset and Their Future Projections Based on CMIP5 Climate Models." Journal of Remote Sensing and Gis 12, no. 1 (2020): 55–72. http://dx.doi.org/10.29252/gisj.12.1.55.

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Kouhi, Mansoureh, Zahra Shirmohammadi aliakbarkhani, Azadeh Mohamadian, and Majid Habibi Nokhandan. "Study of Spatial and Temporal Characteristics of ETo and Temperature in Khorasan Razavi Province Using CRU TS Dataset and Their Future Projections Based on CMIP5 Climate Models." Journal of Remote Sensing and Gis 12, no. 1 (2020): 55–72. http://dx.doi.org/10.52547/gisj.12.1.55.

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Akintola, Olayiwola A., Samuel O. Akande, Obianuju C. Emmanuel, Opeyemi S. Sajo, Ayoola O. Oluwadare, and Olabanji O. Olajire. "Impact of Climate Change on Rainfall Erosivity in Nigeria." FUOYE Journal of Engineering and Technology 9, no. 2 (2024): 164–69. http://dx.doi.org/10.4314/fuoyejet.v9i2.3.

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Nigeria, like many other countries, is vulnerable to the effects of climate change. This study investigated the effects of climate change on rainfall erosivity in Nigeria. Changes in rainfall patterns, such as increased intensity or duration, can significantly affect erosivity. In this study, rainfall data spanning a period of 62 years, obtained from the website archive of the Climate Research Unit-Time Series v4.3 (CRU-TS v4.3) from the University of East Anglia, United Kingdom, were used to compute rainfall erosivity indices for 46 selected stations in Nigeria, across five agroecological zon

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Fukś, Maksymilian, and Łukasz Wiejaczka. "Climatic determinants of changes in the ice regime of Carpathian rivers." Quaestiones Geographicae 44, no. 1 (2025): 131–43. https://doi.org/10.14746/quageo-2025-0009.

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The study addresses the influence of climatic conditions on changes in the ice regime of Carpathian rivers (Central Europe) over the period 1980–2020. The main objective of this study is to identify interrelationships between air temperature, water temperature, river flow, and changes in the occurrence of ice cover (IC) in mountain areas. Rivers that are not significantly influenced by human activity (i.e. seminatural) were selected for analysis. Analyses were based on data obtained from 13 hydrological stations, 7 climatological stations, and the Climatic Research Unit gridded Time Series (CR

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Ajibola, Felix Olabamiji, Botao Zhou, Gnim Tchalim Gnitou, and Anselem Onyejuruwa. "Evaluation of the Performance of CMIP6 HighResMIP on West African Precipitation." Atmosphere 11, no. 10 (2020): 1053. http://dx.doi.org/10.3390/atmos11101053.

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This research focuses on evaluating the High-Resolution Model Intercomparison Project (HighResMIP) simulations within the framework of the Coupled Model Intercomparison Project (CMIP) Phase 6 (CMIP6). We used seven of its consortiums to study how CMIP6 reproduced the West African precipitation features during the 1950–2014 historical simulation periods. The rainfall event was studied for two sub-regions of West Africa, the Sahel and the Guinea Coast. Precipitation datasets from the Climate Research Unit (CRU) TS v4.03, University of Delaware (UDEL) v5.01, and Global Precipitation Climatology C

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Safronov, Alexander N. "Effects of Climatic Warming and Wildfires on Recent Vegetation Changes in the Lake Baikal Basin." Climate 8, no. 4 (2020): 57. http://dx.doi.org/10.3390/cli8040057.

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The vegetation changes in the area of the Russian part of the Lake Baikal water basin for the period 2010–2018 were investigated using MCD12C1 land cover. The decline in swamp systems area began in 2012 and continued until 2015, after which it partially recovered during the heavy rain season in 2018. During the period of 2010–2018, the area covered by forests did not exceed 20.3% of the Baikal basin of the total portion of the Baikal basin under study. Deforestation began in 2013 and continued until 2017. Over 2013–2018, the forest level decreased by 12.1% compared to the forest state in 2013.

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Vargas Godoy, Mijael Rodrigo, Yannis Markonis, Oldrich Rakovec, et al. "Water cycle changes in Czechia: a multi-source water budget perspective." Hydrology and Earth System Sciences 28, no. 1 (2024): 1–19. http://dx.doi.org/10.5194/hess-28-1-2024.

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Abstract. The water cycle in Czechia has been observed to be changing in recent years, with precipitation and evapotranspiration rates exhibiting a trend of acceleration. However, the spatial patterns of such changes remain poorly understood due to the heterogeneous network of ground observations. This study relied on multiple state-of-the-art reanalyses and hydrological modeling. Herein, we propose a novel method for benchmarking hydroclimatic data fusion based on water cycle budget closure. We ranked water cycle budget closure of 96 different combinations for precipitation, evapotranspiratio

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M. L., Sandra,, Sreejith Babu, Shibu C, and Shifin Ravuther S. "Evaluating Dendroclimatic Relationships of Plantation-grown Teak (Tectona grandis L.f.) in Thrissur, Kerala, India." Journal of Global Ecology and Environment 21, no. 2 (2025): 1–11. https://doi.org/10.56557/jogee/2025/v21i29106.

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Dendroclimatology, a specialized branch of dendrochronology, offers critical insights into forest plantation management under climate change impacts, enabling historical climate reconstruction, growth forecasting, adaptive strategies, and carbon sequestration assessments through tree ring analysis. This study explored the climatic influences on teak (Tectona grandis L.f.) growth in selected plantation sites within the Thrissur district, Kerala. Tree samples spanning 1959–2009 were collected from three randomly chosen plantation sites. Tree ring widths were measured and cross-dated using the LI

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Andrade-Velázquez, Mercedes, Ojilve Ramón Medrano-Pérez, Martín José Montero-Martínez, and Alejandro Alcudia-Aguilar. "Regional Climate Change in Southeast Mexico-Yucatan Peninsula, Central America and the Caribbean." Applied Sciences 11, no. 18 (2021): 8284. http://dx.doi.org/10.3390/app11188284.

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This study analyzes the mean, maximum, and minimum temperatures and precipitation trends in southeast Mexico-Yucatan Peninsula, Central America and the Caribbean regions. The Climate Research Unit (CRU) TS 4.01, with a spatial resolution of 0.5° × 0.5°, was the database used in this research. The trends of the four selected climate variables cover the period from 1960 to 2016. The results obtained show a clear and consistent warming trend, at a rate of about 0.01 °C/year for the entire study region. These results are consistent with some previous studies and the IPCC reports. While the trends

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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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Sitko, R., J. Vido, J. Škvarenina, et al. "How different sources of climate databases influence assessment of growth response in dendroclimatic analyses – case study from Lapland." Earth System Dynamics Discussions 6, no. 2 (2015): 1535–55. http://dx.doi.org/10.5194/esdd-6-1535-2015.

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Abstract. The paper deals with the comparison of the time series from different climate databases. We compared the measured data with the modelled data of monthly and seasonal temperature means and precipitation totals. Reliable and as long as possible time series of such data represent the basic starting point of dendroclimatic analyses. We evaluated the differences in the growth response of spruce derived using different databases of the stated climatic characteristics. The stem cores used to derive the cross-correlation function were taken from Hårås locality situated in the boreal zone of

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