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Journal articles on the topic 'Aridity indices'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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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2

Arushanov, M.L., and G.Sh. Eshmuratova. "COMPARATIVE ASSESSMENT OF INFORMATIVENESS OF ATMOSPHERIC ARIDITY INDICES." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 67 (November 2, 2023): 10–17. https://doi.org/10.5281/zenodo.10066257.

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Prediction of drought, a dangerous hydrometeorological phenomenon, is based on meteorological data (temperature, precipitation, air pressure, dew point, evaporation), combined into a single formula – an index describing the qualitative state of aridity depending on the quantitative value of the index in a given climatic region. Due to the lack of a universal definition of drought, different aridity indices provide an effective assessment of aridity in different climatic regions of the world in different ways. In order to adapt methods for assessing aridity in a specific climatic region account

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3

Conceição, Marco Antônio Fonseca, Jorge Tonietto, and Reginaldo Teodoro de Souza. "Climatic water indices for viticulture." Pesquisa Agropecuária Brasileira 53, no. 6 (2018): 765–68. http://dx.doi.org/10.1590/s0100-204x2018000600013.

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Abstract: The objective of this work was to evaluate the performance of vineyard water indices in different grape-growing regions. The climate data used come from the historical series of weather stations located in 18 countries. The evaluated indices were the following: dryness, Zuluaga, humidity, aridity, moisture, and the grapevine water index. The grapevine water index and the indices of drought, moisture, and aridity exhibit similar performances, which makes them suitable to be used equivalently in climatological studies of grapevine regions.

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4

Kimura, Reiji, and Masao Moriyama. "Recent Trends of Annual Aridity Indices and Classification of Arid Regions with Satellite-Based Aridity Indices." Remote Sensing in Earth Systems Sciences 2, no. 2-3 (2019): 88–95. http://dx.doi.org/10.1007/s41976-019-00014-w.

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Al-Zamili, Hanan S., and Alaa M. Al-Lami. "Assessment of spatial distributions of some climate indices in Iraq." Journal of Applied and Advanced Research 3, no. 4 (2018): 96. http://dx.doi.org/10.21839/jaar.2018.v3i4.217.

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Aridity is one of the main factors which distinguish the climate of a region and has significant influence on human activities. This study investigated the spatial distribution of the aridity indices to determine the climate conditions in Iraq over the period (1981-2015), depending on the data of the air temperature and rainfall which obtained from 28 stations distributed through Iraq. The used aridity indices are: Lang, Erinc, Emberger, UNEP, De Martonne and Thornthwaite. The spatial distribution was determined using inverse distance weighting (IDW) interpolated method. The results of aridity

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6

Hou, Jianfeng, Feike A. Dijkstra, Xiuwei Zhang, et al. "Aridity thresholds of soil microbial metabolic indices along a 3,200 km transect across arid and semi-arid regions in Northern China." PeerJ 7 (April 9, 2019): e6712. http://dx.doi.org/10.7717/peerj.6712.

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Soil microbial processes are crucial for understanding the ecological functions of arid and semi-arid lands which occupy approximately 40% of the global terrestrial ecosystems. However, how soil microbial metabolic activities may change across a wide aridity gradient in drylands remains unclear. Here, we investigated three soil microbial metabolic indices (soil organic carbon (SOC)-based microbial respiration, metabolic quotient, and microbial biomass as a proportion of total SOC) and the degree of carbon limitation for microbial respiration along a 3,200 km transect with a wide aridity gradie

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Lam, Marleen R., Alessia Matanó, Anne F. Van Loon, et al. "Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya." Natural Hazards and Earth System Sciences 23, no. 9 (2023): 2915–36. http://dx.doi.org/10.5194/nhess-23-2915-2023.

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Abstract. The relation between drought severity and drought impacts is complex and relatively unexplored in the African continent. This study assesses the relation between reported drought impacts, drought indices, water scarcity and aridity across several counties in Kenya. The monthly bulletins of the National Drought Management Authority in Kenya provided drought impact data. A random forest (RF) model was used to explore which set of drought indices (standardized precipitation index, standardized precipitation evapotranspiration index, standardized soil moisture index and standardized stre

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8

Andrade, Cristina, Joana Contente, and João Andrade Santos. "Climate Change Projections of Aridity Conditions in the Iberian Peninsula." Water 13, no. 15 (2021): 2035. http://dx.doi.org/10.3390/w13152035.

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The assessment of aridity conditions is a key factor for water management and the implementation of mitigation and adaptation policies in agroforestry systems. Towards this aim, three aridity indices were computed for the Iberian Peninsula (IP): the De Martonne Index (DMI), the Pinna Combinative Index (PCI), and the Erinç Aridity Index (EAI). These three indices were first computed for the baseline period 1961–1990, using gridded observational data (E-OBS), and subsequently, for the periods 2011–2040 (short range) and 2041–2070 (medium range), using an ensemble of six regional climate model (R

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9

Liu, Yongqiang, Lu Hao, Decheng Zhou, et al. "Identifying a transition climate zone in an arid river basin using the evaporative stress index." Natural Hazards and Earth System Sciences 19, no. 10 (2019): 2281–94. http://dx.doi.org/10.5194/nhess-19-2281-2019.

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Abstract. Aridity indices have been widely used in climate classification. However, there is not enough evidence for their ability in identifying the multiple climate types in areas with complex topography and landscape, especially in those areas with a transition climate. This study compares a traditional meteorological aridity index (AI), defined as the ratio of precipitation (P) to potential evapotranspiration (PET), with a hydrological aridity index, the evaporative stress index (ESI) defined as the ratio of actual evapotranspiration (AET) to PET in the Heihe River Basin (HRB) of arid nort

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10

Sri, Yulianto Joko Prasetyo, Dwi Hartomo Kristoko, Chrismawati Paseleng Mila, Widiyanto Chandra Dian, and Winarko Edi. "Satellite imagery and machine learning for aridity disaster classification using vegetation indices." Bulletin of Electrical Engineering and Informatics 9, no. 3 (2020): 1149–58. https://doi.org/10.11591/eei.v9i3.1916.

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Central Java Province is one of provinces in Indonesia that has a high aridity risk index. Aridity disaster risk monitoring and detection can be done more accurately in larger areas and with lower costs if the vegetation index is extracted from the remote sensing imagery. This study aims to provide accurate aridity risk index information using spectral vegetation index data obtained from LANDSAT 8 OLI satellite. The classification of drought risk areas was carried out using k-nn with the Spatial Autocorrelation method. The spectral vegetation indices used in the study are NDVI, SAVI, VHI, TCI

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11

Yan, Yimeng, Jiaxi Cao, Yufan Gu, et al. "An Evaluation of Ecosystem Quality and Its Response to Aridity on the Qinghai–Tibet Plateau." Remote Sensing 16, no. 18 (2024): 3461. http://dx.doi.org/10.3390/rs16183461.

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Exploring the response of spatial and temporal characteristics of ecological quality change to aridity on the Qinghai–Tibet Plateau (QTP) can provide valuable information for regional ecological protection, water resource management, and climate change adaptation. In this study, we constructed the Remote Sensing Ecological Index (RSEI) and Standardized Precipitation Evapotranspiration Index (SPEI) based on the Google Earth Engine (GEE) platform with regional characteristics and completely analyzed the spatial and temporal variations of aridity and ecological quality on the QTP in the years 200

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Prasetyo, Sri Yulianto Joko, Kristoko Dwi Hartomo, Mila Chrismawati Paseleng, Dian Widiyanto Chandra, and Edi Winarko. "Satellite imagery and machine learning for aridity disaster classification using vegetation indices." Bulletin of Electrical Engineering and Informatics 9, no. 3 (2020): 1149–58. http://dx.doi.org/10.11591/eei.v9i3.1916.

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Central Java Province is one of provinces in Indonesia that has a high aridity risk index. Aridity disaster risk monitoring and detection can be done more accurately in larger areas and with lower costs if the vegetation index is extracted from the remote sensing imagery. This study aims to provide accurate aridity risk index information using spectral vegetation index data obtained from LANDSAT 8 OLI satellite. The classification of drought risk areas was carried out using k-nn with the Spatial Autocorrelation method. The spectral vegetation indices used in the study are NDVI, SAVI, VHI, TCI

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13

Asvarova, Tatiana A., Gasan N. Gasanov, Rajab Z. Usmanov, et al. "The Influence of Climatic Indicators on the State of the Vegetation Cover of the Terek-Kuma Lowland Under Conditions of Aridization." UNIVERSITY NEWS. NORTH-CAUCASIAN REGION. NATURAL SCIENCES SERIES, no. 1 (March 31, 2025): 58–66. https://doi.org/10.18522/1026-2237-2025-1-58-66.

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Over the years of research in 2011-2023, the de Martonne aridity index, in the range of values 2013, 2015-2020 and 2022, is characterized by an arid climate, and in the years 2011, 2012, 2014, 2023 - a semi-arid climate type, the difference between the aridity indices is more than 2 times. Aridity is associated with a 2-fold decrease in precipitation from 372 to 190 mm and an increase in the average annual temperature from 12.7 to 13.9 °C. It is shown that the greatest influence on the value of the aridity index is provided by the moisture coefficient factor (R = 0.99). Productivity in dry yea

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14

Şarlak, Nermin, and Omar M. A. Mahmood Agha. "Spatial and temporal variations of aridity indices in Iraq." Theoretical and Applied Climatology 133, no. 1-2 (2017): 89–99. http://dx.doi.org/10.1007/s00704-017-2163-0.

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15

Medeiros, Raimundo Mainar de. "Water Balance and Climate of the Ipojuca River Water Basin – Pernambuco, Brazil." Journal of Hyperspectral Remote Sensing 14, no. 2 (2025): 999–1025. https://doi.org/10.29150/jhrs.v14i2.263676.

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The objective is to carry out the analysis of the climatic water balance and make a comparison between the municipalities surrounding the Ipojuca River basin, using the applications of climatic indices and aridity. The study area is the Ipojuca River – Pernambuco river basin, made up of twenty-seven municipalities. The rainfall data were provided by the Water and Climate Agency of the State of Pernambuco and thermal data were estimated by the Estima_T software corresponding to the years 1962 to 2018. For the climatic and agricultural suitability analysis, climatic indices of aridity and water

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16

Zatula, Vasyl. "Complex assessing of aridity in Ukraine." Visnyk of V.N. Karazin Kharkiv National University, series Geology. Geography. Ecology, no. 61 (December 1, 2024): 180–92. https://doi.org/10.26565/2410-7360-2024-61-15.

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Introduction. The aridity is an important part of the climate characterization of a territory. Over the past 100 years, aridity indices have been used to assess it. The purpose of article is to characterize the patterns of the spatial distribution and changes over time of aridity indices on the territory of Ukraine for the period 1961-2020. Data and methods. The Pinna combinative index (PCI) and its modification (PCIm) were used to determine the aridity assessment. Basic calculations of these indices were performed for more than 150 weather stations in Ukraine over the last two 30-year periods

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17

Gavrilov, Milivoj B., Tin Lukić, Natalija Janc, Biljana Basarin, and Slobodan B. Marković. "Forestry Aridity Index in Vojvodina, North Serbia." Open Geosciences 11, no. 1 (2019): 367–77. http://dx.doi.org/10.1515/geo-2019-0029.

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Abstract In investigating aridity in Vojvodina (a region in the northern part of Serbia), the Forestry Aridity Index (FAI) was used. This index was chosen due to being one of the most suitable indices for the analysis of the interaction of climate and vegetative processes, especially in forestry. The spatial distribution of the FAI for annual and decennial periods, as well as its annual trend, is analysed. Satisfactory compatibility between the low (forest) and high (steppe) FAI values with the forest and steppe vegetation on the Vojvodina terrains was obtained. The calculated values of the FA

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18

Baisholanov, S. S., К. А. Akshalov, Д. Aueskhanov, and О. Baimukanova. "The relationship between spring wheat yield and agrometeorological indices in the North Kazakhstan region of the Republic of Kazakhstan." Hydrometeorological research and forecasting 4 (December 2, 2022): 130–46. http://dx.doi.org/10.37162/2618-9631-2022-4-130-146.

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The features of agrometeorological conditions in the natural zones of the North Kazakhstan region during the period from 1991 to 2021 are investigated. The dependence of the spring wheat yield on total precipitation, the sum of effective air temperatures, moisture supply and aridity indices of the growing season is established. The results of the study will be useful for researchers and practical agronomists when solving the problems of rational use of spring wheat crops. Keywords: precipitation, air temperature, moisture availability, aridity, growing season, spring wheat

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19

Ullah, Safi, Qinglong You, D. A. Sachindra, et al. "Spatiotemporal changes in global aridity in terms of multiple aridity indices: An assessment based on the CRU data." Atmospheric Research 268 (April 2022): 105998. http://dx.doi.org/10.1016/j.atmosres.2021.105998.

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20

Patel, Ankit, Deepak Kumar, V. S. Yadav, Pavan Kumar Harode, and Archana Kaushal. "Comparison of Aridity Indices in Mahi River Basin under Climate Change Scenarios." Journal of Experimental Agriculture International 47, no. 4 (2025): 234–57. https://doi.org/10.9734/jeai/2025/v47i43373.

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Climate change represents one of the most pressing global challenges of the 21st century, driven by a combination of natural climatic variability and intensified by anthropogenic activities. Since the advent of the Industrial Revolution, the accelerated emission of greenhouse gases (GHGs) particularly carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) has significantly contributed to global warming by enhancing the greenhouse effect, wherein long-wave terrestrial radiation is increasingly trapped within the Earth's atmosphere. The combined effects of these processes are increasingly

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21

M. Kassai, Katalin, Zoltán Kende, Ákos Tarnawa, and Márton Jolánkai. "Impact of crop site geographic altitude on drought indices of field crops in Hungary." GEORGIKON FOR AGRICULTURE 29, Suppl 1 (2025): 25–31. https://doi.org/10.70809/6565.

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Growth and development of field crops is highly influenced by the water availability of the crop site. In an assessment study at the MATE University, the magnitude of aridity in relation with the geographic location of the crop site has been evaluated. Six field crop species (Sugar beet Beta vulgaris, winter barley Hordeum vulgare, winter wheat Triticum aestivum, maize Zea mays, potato Solanum tuberosum, and alfalfa Medicago sativa) were involved in the research. Data bases of twelve meteorological stations (Békéscsaba, Budapest, Debrecen, Miskolc, Mosonmagyaróvár, Nagykanizsa, Nyíregyháza, Pé

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Lykhovyd, Pavlo. "Remote sensing data for drought stress and croplands productivity assessment in Kherson region." 59, no. 59 (December 1, 2023): 166–77. http://dx.doi.org/10.26565/2410-7360-2023-59-12.

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Formulation of the problem. Remote sensing data might be used for indirect assessment of croplands conditions and drought stress through the calculation of specific vegetation indices, such as vegetation health index (VHI), agriculture stress index (ASI), and drought intensity or weighted mean vegetation health index (WMVHI). However, the accuracy of these indices is not clear for some territories. For example, the South of Ukraine is a zone of risky agriculture, because of low natural moisture supply and high evapotranspiration. Moisture supply is the main limiting factor for sustainable crop

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23

Ali, Zulfiqar, Mohd Khairul Idlan Muhammd, and Shamsuddin Shahid. "Comparison of bias correction methods in the arid region of Pakistan." IOP Conference Series: Earth and Environmental Science 1467, no. 1 (2025): 012026. https://doi.org/10.1088/1755-1315/1467/1/012026.

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Abstract This study presented the effectiveness of univariate quantile mapping (QM) bias correction and multivariate (MBCn) methods by comparison with the European Land Reanalysis (ERA5) gridded dataset in the arid region of Pakistan. The study Girst bias-corrected rainfall (Pr), maximum temperature (Tmax), and minimum temperature (Tmin) and compared bias-corrected variables with ERA5 variables. The climate indices such as the potential evapotranspiration (PET), aridity index (AI), and multivariate drought index obtained using both methods were also compared with ERA5-based indices. The result

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24

Bonfils, Céline, Gemma Anderson, Benjamin D. Santer, et al. "Competing Influences of Anthropogenic Warming, ENSO, and Plant Physiology on Future Terrestrial Aridity." Journal of Climate 30, no. 17 (2017): 6883–904. http://dx.doi.org/10.1175/jcli-d-17-0005.1.

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The 2011–16 California drought illustrates that drought-prone areas do not always experience relief once a favorable phase of El Niño–Southern Oscillation (ENSO) returns. In the twenty-first century, such an expectation is unrealistic in regions where global warming induces an increase in terrestrial aridity larger than the changes in aridity driven by ENSO variability. This premise is also flawed in areas where precipitation supply cannot offset the global warming–induced increase in evaporative demand. Here, atmosphere-only experiments are analyzed to identify land regions where aridity is c

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Hrnjak, Ivana, Milivoj Gavrilov, Slobodan Markovic, Tin Lukic, Ivana Tosic, and Miroslava Unkasevic. "Special software for aridity indices calculation (AICS); Vojvodina, Serbia case study." Journal of the Geographical Institute Jovan Cvijic, SASA 63, no. 3 (2013): 83–94. http://dx.doi.org/10.2298/ijgi1303083h.

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26

Moral, Francisco J., Francisco J. Rebollo, Luis L. Paniagua, Abelardo García-Martín, and Fulgencio Honorio. "Spatial distribution and comparison of aridity indices in Extremadura, southwestern Spain." Theoretical and Applied Climatology 126, no. 3-4 (2015): 801–14. http://dx.doi.org/10.1007/s00704-015-1615-7.

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27

Tabari, Hossein, P. Hosseinzadeh Talaee, S. S. Mousavi Nadoushani, Patrick Willems, and Aldo Marchetto. "A survey of temperature and precipitation based aridity indices in Iran." Quaternary International 345 (September 2014): 158–66. http://dx.doi.org/10.1016/j.quaint.2014.03.061.

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28

Slenker, Katherine, Haley O'Brien, and Lindsey Yann. "Variance of Carotid-Rete-Mediated Selective Brain Cooling Across Aridity Indices." Bulletin of the Florida Museum of Natural History 60, no. 2 (2023): 118. http://dx.doi.org/10.58782/flmnh.hhfe1916.

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Species-environment interactions are integral to survivorship, especially when those environments test the extremes of organismal physiology. Large-bodied (>50kg) mammals, specifically artiodactyls and feliform carnivores, possess a specialized physiology known as carotid-rete-mediated selective brain cooling (CR-SBC), which has been established to be selectively advantageous in environments where water availability is limited and risk for dehydration is high. In this study, we investigate whether CR-SBC provides a release from physiological constraint imposed by the environment, specifical

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29

Pelin, Liviu Ioan. "Drought Assessment in the Moldavian Plain." Present Environment and Sustainable Development 10, no. 1 (2016): 161–70. http://dx.doi.org/10.1515/pesd-2016-0014.

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Abstract The Moldavian Plain, located in the North-Eastern part of Romania, has a temperate-continental climate with a nuance of excessivity in the precipitation regime. This paper aims to analyse droughts in the Moldavian Plain for the period 1961-2010, by using a classical method - the de Martonne Aridity Index, and two other less known indices developed in Romania and the Republic of Moldova. Among these indices, the Dry Spells Index demonstrates a increasing frequency of dry years in recent decades.

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PEREVEDENTSEV, YU P., K. M. SHANTALINSKII, N. A. MIRSAEVA, et al. "CLIMATE CHANGE ON THE TERRITORY OF THE VOLGA FEDERAL DISTRICT IN THE 20TH-21ST CENTURIES AND ITS CONSEQUENCES FOR THE AGROSPHERE." Meteorologiya i Gidrologiya, no. 9 (September 2023): 86–99. http://dx.doi.org/10.52002/0130-2906-2023-9-86-99.

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The spatial and temporal variability of the main climatic indicators on the territory of the Volga Federal District in the 20th-21st centuries is considered. A general increasing trend in air temperature is revealed, and a heterogeneous pattern of precipitation changes is shown. The temperature variations until the end of the 21st century are analyzed on the example of Kazan using 40 CMIP6 climate models for four anthropogenic scenarios. In the paper, there is an assessment of the dynamics of agroclimatic resources on the territory of the Volga Federal District: the duration of the growing sea

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Dr., M. Sakthivel*1 Dr. M. H. Kalubarme2 Panhalkar Bilal Dastagir 3. &. Gaikwad Vishal Vilas4. "AGRICULTURAL DROUGHT MONITORING USING GEO-INFORMATICS TECHNOLOGY: A CASE STUDY OF SURENDRANAGAR DISTRICT, GUJARAT." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 11 (2018): 126–36. https://doi.org/10.5281/zenodo.1493912.

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Drought is the most complex but least understood of all natural hazards. It is broadly defined as “sever water shortage”. In recent years, Geographic Information System (GIS) and Remote Sensing (RS) have played a key role in studying different types if hazards either natural or man-made. This study stresses upon the use of RS and GIS in the field of Drought Risk assessment. Various drought indices were computed using Landsat 7 data of February 2000, Landsat 4-5 TM data of February 2009 and Landsat-8 OLI & TIRS data of February 2018 as well as meteorological data for drought sev

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KASHYAPI, A., and H. P. DAS. "Requirement of heat unit and agrometeorological indices in selected wheat growing zones." MAUSAM 50, no. 1 (2021): 63–70. http://dx.doi.org/10.54302/mausam.v50i1.1805.

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Wheat growing ET -stations (viz., Jorhat, Varanasi, New Delhi, Ludhiana, Raipur, Jabalpur, Akola, Bellary, Banswara and Jodhpur) situated in arid to per humid climatic zones were selected. Heat unit and three agromeleorological indices, viz., ARI (agroclimatic rainfall index), YMI (yield moisture index) and AI (aridity index) were computed at various growth stages of wheat crop using latest available five years data for each of the stations. The study revealed that the crop degree days requirement varied from 1580 (at Jorhat) to 2350 (at Akola) with the maximum requirement at tillering and mil

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Sadeqi, Amin, and Ercan Kahya. "Spatiotemporal analysis of air temperature indices, aridity conditions, and precipitation in Iran." Theoretical and Applied Climatology 145, no. 1-2 (2021): 703–16. http://dx.doi.org/10.1007/s00704-021-03658-1.

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34

Alessandro, Ossola, and Petter Nyman. "Aridity indices predict organic matter decomposition and comminution processes at landscape scale." Ecological Indicators 78 (July 2017): 531–40. http://dx.doi.org/10.1016/j.ecolind.2017.03.049.

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35

Girvetz, Evan H., and Chris Zganjar. "Dissecting indices of aridity for assessing the impacts of global climate change." Climatic Change 126, no. 3-4 (2014): 469–83. http://dx.doi.org/10.1007/s10584-014-1218-9.

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36

Dlamini, Tenanile, Veeranun Songsom, Werapong Koedsin, and Raymond J. Ritchie. "Intensity, Duration and Spatial Coverage of Aridity during Meteorological Drought Years over Northeast Thailand." Climate 10, no. 10 (2022): 137. http://dx.doi.org/10.3390/cli10100137.

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Gaps in drought monitoring result in insufficient preparation measures for vulnerable areas. This paper employed the standardized precipitation index (SPI) to identify meteorological drought years and the Thornthwaite aridity index (TAI) to evaluate aridity in three provinces of northeast Thailand growing cassava and sugarcane at massive scales. Precipitation and temperature data were sourced from Global Land Data Assimilation System-2 (GLDAS-2) Noah Model products at 0.25 degree resolution and used for calculating the drought indices. This study was conducted for the period of 2004 to 2015. T

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Quesada-Hernández, Luis Eduardo, Oscar David Calvo-Solano, Hugo G. Hidalgo, Paula M. Pérez-Briceño, and Eric J. Alfaro. "Dynamical delimitation of the Central American Dry Corridor (CADC) using drought indices and aridity values." Progress in Physical Geography: Earth and Environment 43, no. 5 (2019): 627–42. http://dx.doi.org/10.1177/0309133319860224.

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The Central American Dry Corridor (CADC) is a sub-region in the isthmus that is relatively drier than the rest of the territory. Traditional delineations of the CADC’s boundaries start at the Pacific coast of southern Mexico, stretching south through Central America’s Pacific coast down to northwestern Costa Rica (Guanacaste province). Using drought indices (Standardized Precipitation Index, Modified Rainfall Anomaly Index, Palmer Drought Severity Index, Palmer Hydrological Drought Index, Palmer Drought Z-Index and the Reconnaissance Drought Index) along with a definition of aridity as the rat

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Gavrilov, Milivoj B., Wenling An, Chenxi Xu, et al. "Independent Aridity and Drought Pieces of Evidence Based on Meteorological Data and Tree Ring Data in Southeast Banat, Vojvodina, Serbia." Atmosphere 10, no. 10 (2019): 586. http://dx.doi.org/10.3390/atmos10100586.

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In this study, aridity data and tree ring data were collected in Northern Serbia, in Southeast (SE) Banat, a subregion within Vojvodina, and Vojvodina at large. They were each investigated independently. The De Martonne Aridity Index and the Forestry Aridity Index are derived from examining the relationship between precipitation and surface air temperature data sets sourced from seven meteorological stations in SE Banat, and from 10 meteorological stations located in Vojvodina as a whole. Vojvodina is a large territory and used as the control area, for the period 1949–2017. The Palmer Drought

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Voropay, N. N., and A. A. Ryazanova. "A comparative assessment of the aridity indices for analysis of the hydrothermal conditions." IOP Conference Series: Earth and Environmental Science 190 (October 30, 2018): 012041. http://dx.doi.org/10.1088/1755-1315/190/1/012041.

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Aschonitis, Vassilis, Dimos Touloumidis, Marie-Claire ten Veldhuis, and Miriam Coenders-Gerrits. "Correcting Thornthwaite potential evapotranspiration using a global grid of local coefficients to support temperature-based estimations of reference evapotranspiration and aridity indices." Earth System Science Data 14, no. 1 (2022): 163–77. http://dx.doi.org/10.5194/essd-14-163-2022.

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Abstract. Thornthwaite's formula is globally an optimum candidate for large-scale applications of potential evapotranspiration and aridity assessment at different climates and landscapes since it has lower data requirements compared to other methods and especially from the ASCE-standardized reference evapotranspiration (formerly FAO-56), which is the most data-demanding method and is commonly used as the benchmark method. The aim of the study is to develop a global database of local coefficients for correcting the formula of monthly Thornthwaite potential evapotranspiration (Ep) using as bench

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SENGUPTA, S., H. P. DAS, and A. A. KALE. "Water use pattern and related agrometeorological indices of rabi & kharif sunflower (Helianthus annuus L.) at Deccan plateau." MAUSAM 53, no. 4 (2022): 457–64. http://dx.doi.org/10.54302/mausam.v53i4.1660.

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The agrometeorological data pertinent to estimation of water use and related agrometeorological indices of KBSH - II (1988 to 1991) and MORDEN varieties of sunflower (1992 and 1993) cultivated both in rabi and kharif seasons, were used to understand the comparative water use pattern and agrometeorological indices for getting an idea about the crop condition at Bangalore. The study revealed that mean weekly water use was higher in almost all the years during the kharif season than during the rabi season except in 1990 and the consumptive water use increased with development of the vegetative co

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Claro, André M., André Fonseca, Helder Fraga, and João A. Santos. "Susceptibility of Iberia to Extreme Precipitation and Aridity: A New High-Resolution Analysis over an Extended Historical Period." Water 15, no. 21 (2023): 3840. http://dx.doi.org/10.3390/w15213840.

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The susceptibility to precipitation extreme events (PEEs) and aridity in the Iberian Peninsula (IP) were assessed over a long historical period (1950–2022). Eight extreme precipitation and two aridity indices were calculated. Furthermore, two newly developed composite and principal component-based susceptibility indices were applied. For this purpose, we applied a quantile mapping bias correction of the ERA5-Land reanalysis using the Iberia01 observational dataset in their overlapping period (1971–2015). A trend analysis for 1950–2022 revealed an annual and seasonal drying over the southwester

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Mohammed, Ruqayah, and Miklas Scholz. "Climate Variability Impact on the Spatiotemporal Characteristics of Drought and Aridityin Arid and Semi-Arid Regions." Water Resources Management 33, no. 15 (2019): 5015–33. http://dx.doi.org/10.1007/s11269-019-02397-3.

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AbstractInvestigating the spatiotemporal distribution of climate data and their impact on the allocation of the regional aridity and meteorological drought, particularly in semi-arid and arid climate, it is critical to evaluate the climate variability effect and propose sufficient adaptation strategies. The coefficient of variation, precipitation concentration index and anomaly index were used to evaluate the climate variability, while the Mann-Kendall and Sen’s slope were applied for trend analysis, together with homogeneity tests. The aridity was evaluated using the alpha form of the reconna

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KASHYAPI, A., A. L. KOPPAR, and A. P. HAGE. "Crop specific requirement of growing degree days and agrometeorological indices in rice growing zones." MAUSAM 61, no. 4 (2021): 569–76. http://dx.doi.org/10.54302/mausam.v61i4.915.

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The spatial and temporal distributions of heat unit and various agrometeorological indices for the rice crop, are studied in this paper. Eight ET – stations were selected from six rice growing zones, viz., Canning (in lower Gangetic plains), Bikramganj and Varanasi (in middle Gangetic plains), Ludhiana (in trans Gangetic plains), Ranchi, Shymakhunta (in eastern plateau and hills), Annamalai Nagar (in east coast plains and hill region) and Pattambi (in western plains and ghat region). Eleven crop growth stages were identified for this study, viz., germination, nursery seedling, transplanting, t

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Ladányi, Zsuzsanna, and Viktória Blanka. "Tree-Ring Width And Its Interrelation With Environmental Parameters: Case Study In Central Hungary." Journal of Environmental Geography 8, no. 3-4 (2015): 53–59. http://dx.doi.org/10.1515/jengeo-2015-0012.

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Abstract Tree ring width is influenced by several internal and external factors, among which climate became one of the most dominant due to the altering conditions and patterns of precipitation and temperature. The study aims to analyse the interrelationship between tree ring-width and the dominant environmental parameters in a landscape exposed to water scarcity in the past decades due to climate change and human interventions. Scots pine (Pinus sylvestris), black locust (Robinia pseudoacacia) and white poplar (Populus alba) plantations were sampled to reveal their exposure to climatic forcin

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Bokwa, Anita, Mariusz Klimek, Paweł Krzaklewski, and Wojciech Kukułka. "Drought Trends in the Polish Carpathian Mts in the Years 1991–2020." Atmosphere 12, no. 10 (2021): 1259. http://dx.doi.org/10.3390/atmos12101259.

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Mountains are highly sensitive to the effects of climate change, including extreme short- and long-term weather phenomena. Therefore, in spite of relatively high annual precipitation totals, mountains might become endangered by droughts. The paper presents drought trends in the Polish Carpathians located in Central Europe. Data from the period 1991–2020 from 12 meteorological stations located in various vertical climate zones of the mountains were used to define drought conditions using the following indices: Standardized Precipitation (SPI), Standardized Precipitation Evapotranspiration (SPEI

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Nur, Abdiaziz Hassan, Abdinasir Abdullahi Mohamed, and Ali Hussein Ahmed. "Spatial Assessment of Soil Erosion and Aridity in Somalia Using the CORINE Model." Asian Soil Research Journal 8, no. 4 (2024): 111–23. https://doi.org/10.9734/asrj/2024/v8i4167.

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This study analyzed precipitation patterns, drought conditions, erosivity indices, and arid periods in Somalia using the CORINE model. Utilizing rainfall and temperature data from 50 meteorological stations collected between 2011 and 2019, the study calculated key indices: The Fournier Precipitation Index (35.70%), the Bagnouls-Gaussen Drought Index (61.36), and the erosivity index. The results revealed notable spatial variability in erosivity and aridity across Somalia. Northwestern regions, encompassing 204,978.65 km² (32.14% of the total area), exhibit low erosivity due to reduced rainfall

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Bannayan, Mohammad, Sarah Sanjani, Amin Alizadeh, S. Sadeghi Lotfabadi, and Azadeh Mohamadian. "Association between climate indices, aridity index, and rainfed crop yield in northeast of Iran." Field Crops Research 118, no. 2 (2010): 105–14. http://dx.doi.org/10.1016/j.fcr.2010.04.011.

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Burić, Dragan, Jovan Mihajlović, Vladan Ducić, Milan Milenković, and Goran Anđelković. "Contribution to the study of climate change in Serbia using continentality, oceanity, and aridity indices." Időjárás 127, no. 3 (2023): 379–99. http://dx.doi.org/10.28974/idojaras.2023.3.6.

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The aim of the study is to present some specific climatic conditions on the territory of the Republic of Serbia based on the analysis of four climate indices, which can help in understanding contemporary climate changes. Temperature and precipitation data from 31 meteorological stations for the period 1951–2010 were used. The relative homogeneity of the data series was done using the MASH v3.02 method. The indices used are: Johansson Continentality Index, Kerner Oceanity Index, De Martonne Aridity Index, and Pinna Combinative Index. Geospatial analysis of the distribution of the values of the

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Luna Lucena, Rebecca, Alíbia Deysi Guedes da Silva, Fernanda de Cássia Neves Esteca, and Emerson Galvani. "The climate and climatological water balance of Brazilian semi-arid mountainous areas and inland depression." Revista Agrogeoambiental 16, unico (2024): e20241833. http://dx.doi.org/10.18406/2316-1817v16nunico20241833.

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This research aimed to carry out a comparative climatic analysis between high-altitude areas and those located in the inland depression according to climatic indices of aridity. This analysis chose the following municipalities: the high-altitude Guaramiranga/CE, Campos Sales/CE, Lagoa Nova/RN, Martins/RN, Monteiro/PB, Areia/PB, Triunfo/PE and Garanhuns/PE and the low-altitude Crateús/CE, Sobral/CE, Mossoró/RN, Caicó/RN, São Gonçalo/PB, Patos/PB, Petrolina/PE, and Cabrobó/PE. In order to gather both the climate analysis & its agricultural suitability, it was necessary to apply climatic indi

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