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Journal articles on the topic 'Self-calibrating Palmer drought severity index'

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Published: 2 June 2025

Last updated: 31 July 2025

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1

Wells, Nathan, Steve Goddard, and Michael J. Hayes. "A Self-Calibrating Palmer Drought Severity Index." Journal of Climate 17, no. 12 (2004): 2335–51. http://dx.doi.org/10.1175/1520-0442(2004)017<2335:aspdsi>2.0.co;2.

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Zhu, Ye, Yi Liu, Xieyao Ma, Liliang Ren, and Vijay Singh. "Drought Analysis in the Yellow River Basin Based on a Short-Scalar Palmer Drought Severity Index." Water 10, no. 11 (2018): 1526. http://dx.doi.org/10.3390/w10111526.

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Focusing on the shortages of moisture estimation and time scale in the self-calibrating Palmer drought severity index (scPDSI), this study proposed a new Palmer variant by introducing the Variable Infiltration Capacity (VIC) model in hydrologic accounting module, and modifying the standardization process to make the index capable for monitoring droughts at short time scales. The performance of the newly generated index was evaluated over the Yellow River Basin (YRB) during 1961–2012. For time scale verification, the standardized precipitation index (SPI), and standardized precipitation evapotr

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Yu, M., Q. Li, G. Lu, H. Wang, and P. Li. "Development and application of a short- /long-term composited drought index in the upper Huaihe River basin, China." Proceedings of the International Association of Hydrological Sciences 369 (June 11, 2015): 103–8. http://dx.doi.org/10.5194/piahs-369-103-2015.

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Abstract. Accurate and reliable drought monitoring is of primary importance for drought mitigation and reduction of social-ecological vulnerability. The aim of the paper was to propose a short-term/long-term composited drought index (CDI) which could be widely used for drought monitoring and early warning in China. In the study, the upper Huaihe River basin above the Xixian gauge station, which has been hit by severe droughts frequently in recent decades, was selected as the case study site. The short-term CDI was developed by the Principle Component Analysis of the self-calibrating Palmer Dro

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Ogunrinde, Akinwale T., Phillip G. Oguntunde, David A. Olasehinde, Johnson T. Fasinmirin, and Akinola S. Akinwumiju. "Drought spatiotemporal characterization using self-calibrating Palmer Drought Severity Index in the northern region of Nigeria." Results in Engineering 5 (March 2020): 100088. http://dx.doi.org/10.1016/j.rineng.2019.100088.

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5

Liu, Yi, Xiaoli Yang, Liliang Ren, Fei Yuan, Shanhu Jiang, and Mingwei Ma. "A New Physically Based Self-Calibrating Palmer Drought Severity Index and its Performance Evaluation." Water Resources Management 29, no. 13 (2015): 4833–47. http://dx.doi.org/10.1007/s11269-015-1093-9.

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Huang, Yingchun, Bowen Liu, Haigen Zhao, and Xudong Yang. "Spatial and Temporal Variation of Droughts in the Mongolian Plateau during 1959–2018 Based on the Gridded Self-Calibrating Palmer Drought Severity Index." Water 14, no. 2 (2022): 230. http://dx.doi.org/10.3390/w14020230.

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Drought monitoring is challenging, but it is required for improving agricultural production, protecting the ecological environment, and reducing economic losses in drought-prone regions such as the Mongolian Plateau (MP). This study is a systematic analysis of the spatiotemporal changes in the characteristics of drought events (drought duration, severity, intensity, frequency, peak, and starting season) at the sub-regional scale between 1959 and 2018 based on the run theory and using the gridded self-calibrating Palmer Drought Severity Index (scPDSI) dataset. Principal component analysis and V

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Shrestha, Alen, Md Mafuzur Rahaman, Ajay Kalra, Balbhadra Thakur, Kenneth W. Lamb, and Pankaj Maheshwari. "Regional Climatological Drought: An Assessment Using High-Resolution Data." Hydrology 7, no. 2 (2020): 33. http://dx.doi.org/10.3390/hydrology7020033.

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Regional assessments of droughts are limited, and meticulous assessments over larger spatial scales are generally not substantial. Understanding drought variability on a regional scale is crucial for enhancing the resiliency and adaptive ability of water supply and distribution systems. Moreover, it can be essential for appraising the dynamics and projection of droughts based on regional climate across various spatial and temporal scales. This work focuses on drought analysis using a high-resolution dataset for three drought-prone regions of India between 1950 and 2016. This study also uses mo

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Yu, Meixiu, Xiaolong Liu, Li Wei, Qiongfang Li, Jianyun Zhang, and Guoqing Wang. "Drought Assessment by a Short-/Long-Term Composited Drought Index in the Upper Huaihe River Basin, China." Advances in Meteorology 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7986568.

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Accurate and reliable drought monitoring is of primary importance for drought mitigation and reduction of social-ecological vulnerability. The aim of the paper was to propose a multiscale composited drought index (CDI) which could be widely used for drought monitoring and early warning in China. In the study, the upper Huaihe River basin above the Xixian gauge station, which has been hit by severe droughts frequently in recent decades, was selected as the case study site. The newly built short-term/long-term CDI comprehensively considered three natural forms of drought (meteorological, hydrolo

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Li, Jun, Zhaoli Wang, Xushu Wu, Chong-Yu Xu, Shenglian Guo, and Xiaohong Chen. "Toward Monitoring Short-Term Droughts Using a Novel Daily Scale, Standardized Antecedent Precipitation Evapotranspiration Index." Journal of Hydrometeorology 21, no. 5 (2020): 891–908. http://dx.doi.org/10.1175/jhm-d-19-0298.1.

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AbstractRecent events across many regions around the world have shown that short-term droughts (i.e., daily or weekly) with sudden occurrence can lead to huge losses to a wide array of environmental and societal sectors. However, the most commonly used drought indices can only identify drought at the monthly scale. Here, we introduced a daily scale drought index, that is, the standardized antecedent precipitation evapotranspiration index (SAPEI) that utilizes precipitation and potential evapotranspiration and also considers the effect of early water balance on dry/wet conditions on the current

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10

Zhong, Ziqian, Bin He, Lanlan Guo, and Yafeng Zhang. "Performance of Various Forms of the Palmer Drought Severity Index in China from 1961 to 2013." Journal of Hydrometeorology 20, no. 9 (2019): 1867–85. http://dx.doi.org/10.1175/jhm-d-18-0247.1.

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Abstract A topic of ongoing debate on the application of PDSI is whether to use the original version of the PDSI or a self-calibrating form, as well as which method to use for calculating potential evapotranspiration (PET). In this study, the performances of four forms of the PDSI, including the original PDSI based on the Penman–Monteith method for calculating PET (ETp), the PDSI based on the crop reference evapotranspiration method for calculating PET (ET0), the self-calibrating PDSI (scPDSI) based on ETp, and the scPDSI based on ET0, were evaluated in China using the normalized difference ve

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Zhang, Qi, Chiyuan Miao, Jiajia Su, et al. "A new high-resolution multi-drought-index dataset for mainland China." Earth System Science Data 17, no. 3 (2025): 837–53. https://doi.org/10.5194/essd-17-837-2025.

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Abstract. Drought indices are crucial for assessing and managing water scarcity and agricultural risks; however, the lack of a unified data foundation in existing datasets leads to inconsistencies that challenge the comparability of drought indices. This study is dedicated to creating CHM_Drought, an innovative and comprehensive long-term meteorological drought dataset with a spatial resolution of 0.1° and with data collected from 1961 to 2022 in mainland China. It features six pivotal meteorological drought indices: the standardized precipitation index (SPI), standardized precipitation evapot

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van der Schrier, G., K. R. Briffa, P. D. Jones, and T. J. Osborn. "Summer Moisture Variability across Europe." Journal of Climate 19, no. 12 (2006): 2818–34. http://dx.doi.org/10.1175/jcli3734.1.

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Abstract Maps of monthly self-calibrating Palmer Drought Severity Index (SC-PDSI) have been calculated for the period of 1901–2002 for Europe (35°–70°N, 10°W–60°E) with a spatial resolution of 0.5° × 0.5°. The recently introduced SC-PDSI is a convenient means of describing the spatial and temporal variability of moisture availability and is based on the more common Palmer Drought Severity Index. The SC-PDSI improves upon the PDSI by maintaining consistent behavior of the index over diverse climatological regions. This makes spatial comparisons of SC-PDSI values on continental scales more meani

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13

Li, Q., M. Zeng, H. Wang, P. Li, K. Wang, and M. Yu. "Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China." Proceedings of the International Association of Hydrological Sciences 369 (June 11, 2015): 61–67. http://dx.doi.org/10.5194/piahs-369-61-2015.

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Abstract. The Huaihe River Basin having China's highest population density (662 persons per km2) lies in a transition zone between the climates of North and South China, and is thus prone to drought. Therefore, the paper aims to develop an appropriate drought assessment approach for drought assessment in the Huaihe River basin, China. Based on the Principal Component Analysis of precipitation, evapotranspiration, soil moisture and runoff, the three latter variables of which were obtained by use of the Xin'anjiang model, a new multivariate drought index (MDI) was formulated, and its thresholds

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He, Liupeng, Liang Tong, Zhaoqiang Zhou, et al. "A Drought Index: The Standardized Precipitation Evapotranspiration Irrigation Index." Water 14, no. 13 (2022): 2133. http://dx.doi.org/10.3390/w14132133.

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Drought has had an increasingly serious impact on humans with global climate change. The drought index is an important indicator used to understand and assess different types of droughts. At present, many drought indexes do not sufficiently consider human activity factors. This study presents a modified drought index and the standardized precipitation evapotranspiration irrigation index (SPEII), considering the human activity of irrigation that is based on the theory of the standardized precipitation evapotranspiration index (SPEI). This study aims to compare the modified drought index (SPEII)

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15

Wei, Ke, and Lin Wang. "Reexamination of the Aridity Conditions in Arid Northwestern China for the Last Decade." Journal of Climate 26, no. 23 (2013): 9594–602. http://dx.doi.org/10.1175/jcli-d-12-00605.1.

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Water resources are an essential part of the ecosystem in the extremely arid northwestern part of China. Previous studies revealed a dry-to-wet climate change since the late 1980s in this region, which suggested a relief from the drought condition. However, the analysis in this study using the updated data shows that the arid situation has continued and even intensified in the past decade. This is reflected by the fact that the low-level air relative humidity and deep soil relative humidity have decreased in the past decade. Examination of the standardized precipitation evapotranspiration inde

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Xu, Yang, Heli Zhang, Feng Chen, et al. "Drought reconstruction since 1796 CE based on tree-ring widths in the upper Heilongjiang (Amur) River basin in Northeast Asia and its linkage to Pacific Ocean climate variability." Climate of the Past 19, no. 11 (2023): 2079–92. http://dx.doi.org/10.5194/cp-19-2079-2023.

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Abstract. The economic and environmental impacts of persistent droughts in East Asia are of growing concern, and therefore it is important to study the cyclicity and causes of these regional droughts. The self-calibrating Palmer drought severity index (scPDSI) has been extensively employed to describe the severity of regional drought, and several scPDSI reconstructions based on tree rings have been produced. We compiled a tree-ring chronology for Hailar pine (Pinus sylvestris var. mongolica) from two sites in the Hailar region in the upper Heilongjiang (Amur) River basin. Analysis of the clima

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17

van, der Maaten Ernst. "Climate sensitivity of radial growth in European beech (Fagus sylvatica L.) at different aspects in southwestern Germany." Trees 26, no. 3 (2012): 777–88. https://doi.org/10.1007/s00468-011-0645-8.

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The climate sensitivity of radial growth in European beech (Fagus sylvatica L.) was analyzed within a narrow valley in the Swabian Alb (southwestern Germany). We collected stem discs from three aspects (NE, NW and SW) of trees belonging to different social classes. Common climatic factors limiting growth across the valley were identified using a principal component analysis (PCA). Further, we performed hierarchical cluster analysis (HCA), redundancy analysis (RDA) and bootstrapped correlation analysis to reveal differences in chronologies and climate-growth relationships between aspect and soc

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18

Cui, Lilu, Cheng Zhang, Chaolong Yao, Zhicai Luo, Xiaolong Wang, and Qiong Li. "Analysis of the Influencing Factors of Drought Events Based on GRACE Data under Different Climatic Conditions: A Case Study in Mainland China." Water 13, no. 18 (2021): 2575. http://dx.doi.org/10.3390/w13182575.

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The occurrence of droughts has become more frequent, and their intensity has increased in mainland China. With the aim of better understanding the influence of climate background on drought events in this region, we analyzed the role of the drought-related factors and extreme climate in the formation of droughts by investigating the relationship between the drought severity index (denoted as GRACE-DSI) based on the terrestrial water storage changes (TWSCs) derived from Gravity Recovery and Climate Experiment (GRACE) time-variable gravity fields and drought-related factors/extreme climate. The

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Wu, Tingtao, Wei Zheng, Wenjie Yin, and Hanwei Zhang. "Spatiotemporal Characteristics of Drought and Driving Factors Based on the GRACE-Derived Total Storage Deficit Index: A Case Study in Southwest China." Remote Sensing 13, no. 1 (2020): 79. http://dx.doi.org/10.3390/rs13010079.

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Drought monitoring is useful to minimize the impact of drought on human production and the natural environment. Gravity Recovery and Climate Experiment (GRACE) satellites can directly capture terrestrial water storage anomalies (TWSA) in the large basin, which represents a new source of hydrological information. In this study, the GRACE-based total storage deficit index (TSDI) is employed to investigate the temporal evolution and spatial distribution of drought in Southwest China from 2003 to 2016. The comparison results of TSDI with the standardized precipitation index (SPI), the standardized

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20

Shrestha, Alen, Md Mafuzur Rahaman, Ajay Kalra, Rohit Jogineedi, and Pankaj Maheshwari. "Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India." Forecasting 2, no. 2 (2020): 59–84. http://dx.doi.org/10.3390/forecast2020004.

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This study forecasts and assesses drought situations in various regions of India (the Araveli region, the Bundelkhand region, and the Kansabati river basin) based on seven simulated climates in the near future (2015–2044). The self-calibrating Palmer Drought Severity Index (scPDSI) was used based on its fairness in identifying drought conditions that account for the temperature as well. Gridded temperature and rainfall data of spatial resolution of 1 km were used to bias correct the multi-model ensemble mean of the Global Climatic Models from the Coupled Model Intercomparison Project Phase 6 (

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Antofie, T., G. Naumann, J. Spinoni, and J. Vogt. "Estimating the water needed to end the drought or reduce the drought severity in the Carpathian region." Hydrology and Earth System Sciences 19, no. 1 (2015): 177–93. http://dx.doi.org/10.5194/hess-19-177-2015.

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Abstract. A drought severity climatology for the Carpathian region has been produced using the self-calibrating Palmer Drought Severity Index (Sc-PDSI) for the period 1961–2010. Using the Sc-PDSI and the assumptions of the Palmer drought model (PDM) the precipitation required for drought termination (when Sc-PDSI reaches −0.5) and amelioration (when Sc-PDSI reaches −2.0) are computed for periods of 1, 3, and 6 months. We discuss the reduction of the uncertainty in the determination of the beginning and ending of drought conditions, and provide a quantitative measure of the probability that any

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Yang, Xiaoli, Linyan Zhang, Yuqian Wang, et al. "Spatial and Temporal Characterization of Drought Events in China Using the Severity-Area-Duration Method." Water 12, no. 1 (2020): 230. http://dx.doi.org/10.3390/w12010230.

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Global climate change not only affects the processes within the water cycle but also leads to the frequent occurrences of local and regional extreme drought events. In China, spatial and temporal characterizations of drought events and their future changing trends are of great importance in water resources planning and management. In this study, we employed self-calibrating Palmer drought severity index (SC-PDSI), cluster algorithm, and severity-area-duration (SAD) methods to identify drought events and analyze the spatial and temporal distributions of various drought characteristics in China

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Paredes-Trejo, Franklin, Humberto Alves Barbosa, Jason Giovannettone, et al. "Drought Assessment in the São Francisco River Basin Using Satellite-Based and Ground-Based Indices." Remote Sensing 13, no. 19 (2021): 3921. http://dx.doi.org/10.3390/rs13193921.

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The São Francisco River Basin (SFRB) plays a key role for the agricultural and hydropower sectors in Northeast Brazil (NEB). Historically, in the low part of the SFRB, people have to cope with strong periods of drought. However, there are incipient signs of increasing drought conditions in the upper and middle parts of the SFRB, where its main reservoirs (i.e., Três Marias, Sobradinho, and Luiz Gonzaga) and croplands are located. Therefore, the assessment of the impacts of extreme drought events in the SFRB is of vital importance to develop appropriate drought mitigation strategies. These even

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Henchiri, Malak, Qi Liu, Bouajila Essifi, et al. "Spatio-Temporal Patterns of Drought and Impact on Vegetation in North and West Africa Based on Multi-Satellite Data." Remote Sensing 12, no. 23 (2020): 3869. http://dx.doi.org/10.3390/rs12233869.

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Studying the significant impacts of drought on vegetation is crucial to understand its dynamics and interrelationships with precipitation, soil moisture, and temperature. In North and West Africa regions, the effects of drought on vegetation have not been clearly stated. Therefore, the present study aims to bring out the drought fluctuations within various types of Land Cover (LC) (Grasslands, Croplands, Savannas, and Forest) in North and West Africa regions. The drought characteristics were evaluated by analyzing the monthly Self-Calibrating Palmer Drought Severity Index (scPDSI) in different

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Antofie, T., G. Naumann, J. Spinoni, and J. Vogt. "Estimating the water needed to end or ameliorate the drought in the Carpathian region." Hydrology and Earth System Sciences Discussions 11, no. 2 (2014): 1493–527. http://dx.doi.org/10.5194/hessd-11-1493-2014.

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Abstract. A drought severity climatology for the Carpathian Region has been produced using the self-calibrating Palmer Drought Severity Index (Sc-PDSI) for the period 1961–2010. Using the Sc-PDSI and the assumptions of the Palmer Drought Model (PDM) the precipitation required for drought termination (when Sc-PDSI reaches −0.5) and amelioration (when Sc-PDSI reaches −2.0) are computed for periods of 1, 3 and 6 months. We discuss the reduction of the uncertainty in the determination of the beginning and ending of drought conditions and provide a quantitative measure of the probability that any d

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Jawad, Thaer K., Osama T. Al-Taai, and Yaseen K. Al-timimi. "Evaluation of Drought Characteristics in Iraq using SC-PDSI." Science Journal of University of Zakho 6, no. 3 (2018): 94–99. http://dx.doi.org/10.25271/sjuoz.2018.6.3.511.

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Evaluation of drought characteristics in Iraq by analysis annual growing season of Self-Calibrating Palmer Drought Severity Index (SC-PDSI) for three climatic zones using run theory method. The efficiency of SC-PDSI for drought monitoring was examined from compared with Rainfall Departure from the mean (RD) for three zones (Arid and Semi-Arid, Steppes and Desert) for the period 1981-2015, were derived from Climatic Research Unit (CRU). The spatial interpolation techniques in ArcGIS package has been used, to cover the whole extent of country and extracting the zones. Statistical methods were ap

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Jawad, Thaer K., Osama T. Al-Taai, and Yaseen K. Al-Timimi. "Evaluation of Drought Characteristics in Iraq using SC-PDSI." Science Journal of University of Zakho 6, no. 4 (2018): 177–82. http://dx.doi.org/10.25271/sjuoz.2018.6.4.547.

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Evaluation of drought characteristics in Iraq by analysis annual growing season of Self-Calibrating Palmer Drought Severity Index (SC-PDSI) for three climatic zones using run theory method. The efficiency of SC-PDSI for drought monitoring was examined from compared with Rainfall Departure from the mean (RD) for three zones (Arid and Semi-Arid, Steppes and Desert) for the period 1981-2015, were derived from Climatic Research Unit (CRU). The spatial interpolation techniques in ArcGIS package has been used, to cover the whole extent of country and extracting the zones. Statistical methods were ap

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Zhao, Qingzhi, Xiongwei Ma, Wanqiang Yao, Yang Liu, and Yibin Yao. "A Drought Monitoring Method Based on Precipitable Water Vapor and Precipitation." Journal of Climate 33, no. 24 (2020): 10727–41. http://dx.doi.org/10.1175/jcli-d-19-0971.1.

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AbstractPrecipitable water vapor (PWV) with high precision and high temporal resolution can be obtained based on the global navigation and satellite positioning system (GNSS) technique, which is important for GNSS in disaster prevention and mitigation. However, related studies on drought monitoring using PWV have rarely been performed before, which becomes the focus of this paper. This paper proposes a novel drought monitoring method using GNSS-derived PWV and precipitation, and a multi-time-scale standardized precipitation conversion index (SPCI) is established. This index is different from t

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Wei, Wei, Jiping Wang, Libang Ma, et al. "Global Drought-Wetness Conditions Monitoring Based on Multi-Source Remote Sensing Data." Land 13, no. 1 (2024): 95. http://dx.doi.org/10.3390/land13010095.

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Drought is a common hydrometeorological phenomenon and a pervasive global hazard. To monitor global drought-wetness conditions comprehensively and promptly, this research proposed a spatial distance drought index (SDDI) which was constructed by four drought variables based on multisource remote sensing (RS) data, including the normalized difference vegetation index (NDVI), land surface temperature (LST), soil moisture (SM), and precipitation (P), using the spatial distance model (SDM). The results showed that the consistent area of SDDI with the 1-month and 3-month standardized precipitation-e

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Ren, Ruqing, Tatsuya Nemoto, Venkatesh Raghavan, Xianfeng Song, and Zheng Duan. "Analysis of Droughts and Floods Evolution and Teleconnection Factors in the Yangtze River Basin Based on GRACE/GFO." Remote Sensing 17, no. 14 (2025): 2344. https://doi.org/10.3390/rs17142344.

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In recent years, under the influence of climate change and human activities, droughts and floods have occurred frequently in the Yangtze River Basin (YRB), seriously threatening socioeconomic development and ecological security. The topography and climate of the YRB are complex, so it is crucial to develop appropriate drought and flood policies based on the drought and flood characteristics of different sub-basins. This study calculated the water storage deficit index (WSDI) based on the Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GFO) mascon model, extended WSDI to th

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Herrera, Dimitris, and Toby Ault. "Insights from a New High-Resolution Drought Atlas for the Caribbean Spanning 1950–2016." Journal of Climate 30, no. 19 (2017): 7801–25. http://dx.doi.org/10.1175/jcli-d-16-0838.1.

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Abstract Climate change is expected to increase the severity and frequency of drought in the Caribbean. Understanding drought variability and its trends is therefore critical for improving resiliency and adaptation capacity of this region, as well as for assessing the dynamics and predictability of regional hydroclimate across spatial and temporal scales. This work introduces a first of its kind high-resolution drought dataset for the Caribbean region from 1950 to 2016, using monthly estimates of the “self calibrating” Palmer drought severity index (scPDSI), with the physically based Penman–Mo

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Cui, Lilu, Maoqiao Yin, Zhengkai Huang, Chaolong Yao, Xiaolong Wang, and Xu Lin. "The Drought Events over the Amazon River Basin from 2003 to 2020 Detected by GRACE/GRACE-FO and Swarm Satellites." Remote Sensing 14, no. 12 (2022): 2887. http://dx.doi.org/10.3390/rs14122887.

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The climate anomaly in the Amazon River basin (ARB) has a very important influence on global climate change and has always been the focus of scientists from all over the world. To fill the 11-month data gap between Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) missions, we fused the TWSC results from six GRACE solutions by using the generalized three-cornered hat and the least square method to improve the reliability of TWSC results, and then combined Swarm data to construct an uninterrupted long time series of a TWSC-based drought index (GRACE/Swarm-DSI). The

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Meyn, Andrea, Sebastian Schmidtlein, Stephen W. Taylor, Martin P. Girardin, Kirsten Thonicke, and Wolfgang Cramer. "Spatial variation of trends in wildfire and summer drought in British Columbia, Canada, 1920 - 2000." International Journal of Wildland Fire 19, no. 3 (2010): 272. http://dx.doi.org/10.1071/wf09055.

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Owing to large climatic and orographic variation, British Columbia covers a variety of ecosystems extending from temperate rainforests on the Pacific coast to boreal forests in the north-east. The aim of this study is to investigate the spatial variation of trends in wildfire activity and their relationship to summer drought for the entire province of British Columbia. Time series of annual wildfire extent and occurrence, summer self-calibrating Palmer Drought Severity Index and summer Aridity Index were derived from spatially explicit data. Sixteen landscape regions according to the provincia

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Nooni, Isaac Kwesi, Daniel Fiifi T. Hagan, Guojie Wang, et al. "Spatiotemporal Characteristics and Trend Analysis of Two Evapotranspiration-Based Drought Products and Their Mechanisms in Sub-Saharan Africa." Remote Sensing 13, no. 3 (2021): 533. http://dx.doi.org/10.3390/rs13030533.

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Drought severity still remains a serious concern across Sub-Saharan Africa (SSA) due to its destructive impact on multiple sectors of society. In this study, the interannual variability and trends in the changes of the self-calibrating Palmer Drought Severity Index (scPDSI) based on the Penman–Monteith (scPDSIPM) and Thornthwaite (scPDSITH) methods for measuring potential evapotranspiration (PET), precipitation (P), normalized difference vegetation index (NDVI), and sea surface temperature (SST) anomalies were investigated through statistical analysis of modeled and remote sensing data. It was

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Gobena, A. K., and T. Y. Gan. "Assessment of Trends and Possible Climate Change Impacts on Summer Moisture Availability in Western Canada based on Metrics of the Palmer Drought Severity Index." Journal of Climate 26, no. 13 (2013): 4583–95. http://dx.doi.org/10.1175/jcli-d-12-00421.1.

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Abstract This paper compares three existing Palmer Drought Severity Index (PDSI) formulations for simulating summer moisture variability in western Canada and a preliminary analysis of climate change impacts on summer moisture anomalies. The three models considered are Palmer's original algorithm (orPDSI), the self-calibrating PDSI (scPDSI), and a version modified for Canadian Prairie conditions (cpPDSI). In all formulations, potential evapotranspiration was parameterized by the Penman–Monteith method instead of the traditional Thornthwaite method. The scPDSI was used as a benchmark for evalua

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Xue, Changdi, Hua Wu, and Xiaoguang Jiang. "Temporal and Spatial Change Monitoring of Drought Grade Based on ERA5 Analysis Data and BFAST Method in the Belt and Road Area during 1989–2017." Advances in Meteorology 2019 (November 16, 2019): 1–10. http://dx.doi.org/10.1155/2019/4053718.

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Drought is a worldwide natural disaster with a wide range of influences and a long duration, which has a huge impact on the agricultural production activities and social economy of local residents. The Belt and Road Initiative has always received much attention due to its special geographical location and great potential for economic development. At the same time, the Belt and Road region is also deeply affected by drought, especially in some countries and regions, where the agricultural infrastructure is weak and the ecological environment is fragile. How to effectively monitor and evaluate d

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Jin, Lei, Shaodan Chen, and Mengfan Liu. "Multiscale Spatiotemporal Dynamics of Drought within the Yellow River Basin (YRB): An Examination of Regional Variability and Trends." Water 16, no. 5 (2024): 791. http://dx.doi.org/10.3390/w16050791.

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Drought, as a recurring extreme climatic event, inflicts diverse impacts on ecological systems, agricultural productivity, water resources, and socio-economic progress globally. Discerning the drought patterns within the evolving environmental landscape of the Yellow River Basin (YRB) is imperative for enhancing regional drought management and fostering ecological conservation alongside high-quality development. This study utilizes meteorological drought indices, the Standardized Precipitation Evapotranspiration Index (SPEI) and the self-calibrating Palmer Drought Severity Index (scPDSI), for

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Shao, Hui, Yuandong Zhang, Zhen Yu, Fengxue Gu, and Zhongtong Peng. "The Resilience of Vegetation to the 2009/2010 Extreme Drought in Southwest China." Forests 13, no. 6 (2022): 851. http://dx.doi.org/10.3390/f13060851.

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The 2009/2010 extreme drought in southwest China (SWC) was a “once-in-a-century” drought event, which caused unprecedented damage to the regional ecology and socioeconomic development. The event provided a chance to explore the resilience of vegetation growth and productivity to the extreme drought. Here, we used the self-calibrating Palmer drought severity index (scPDSI) to describe the characteristics of the extreme drought. Vegetation growth and productivity indices, including the normalized difference vegetation index (NDVI), leaf area index (LAI), and gross primary productivity (GPP), wer

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Zhang, R., Y. Qu, X. Zhang, et al. "Spatiotemporal variability in annual drought severity, duration, and frequency from 1901 to 2020." Climate Research 87 (March 3, 2022): 81–97. http://dx.doi.org/10.3354/cr01680.

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Drought is currently one of the most severe natural disasters affecting the world. Therefore, characterizing the temporal and spatial characteristics of droughts is critical to managing drought disasters and coping with global climate change. In this study, we apply the ensemble empirical mode decomposition (EEMD), empirical orthogonal function (EOF) decomposition, and the drought event division method of run theory to analyze the temporal and spatial characteristics of meteorological droughts across the globe from 1901 to 2020 using the self-calibrated Palmer drought severity index (scPDSI).

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Kang, Shuyuan, Jingjing Liu, and Jianglin Wang. "Hydroclimate Variations across North-Central China during the Past 530 Years and Their Relationships with Atmospheric Oscillations." Forests 14, no. 3 (2023): 640. http://dx.doi.org/10.3390/f14030640.

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Detailed study of historical drought events in North-Central China (NCC) is important to understand current hydroclimate variability in the background of global warming. Here, we combined 12 published tree-ring chronologies and 12 dryness/wetness indices (DWI) to reconstruct dry and wet climate variability across NCC. These 24 proxy records showed similarly significant responses to warm season (May–June–July–August–September, MJJAS) moisture signals. A new 530-year-long reconstruction of self-calibrating Palmer Drought Severity Index (scPDSI) values for the warm season in NCC was determined us

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Shi, Xiaoliang, Hao Ding, Mengyue Wu, et al. "A comprehensive drought monitoring method integrating multi-source data." PeerJ 10 (July 5, 2022): e13560. http://dx.doi.org/10.7717/peerj.13560.

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Droughts are the most expensive natural disasters on the planet. As a result of climate change and human activities, the incidence and impact of drought have grown in China. Timely and effective monitoring of drought is crucial for water resource management, drought mitigation, and national food security. In this study, we constructed a comprehensive drought index (YCDI) suitable for the Yellow River Basin using principal component analysis and the entropy weight-AHP method, which integrated a standardized precipitation evapotranspiration index (SPEI), self-calibrating Palmer drought severity

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Zhang, Yanzhen, Zhaoqi Wang, Qian Wang, et al. "Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau." Plants 11, no. 3 (2022): 310. http://dx.doi.org/10.3390/plants11030310.

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This study applied grassland related multi-index and assessed the effects of climate change by investigating grassland responses to drought. This process was performed to study grassland vegetation dynamic accurately and evaluate the effect of drought in the Mongolian Plateau (MP). The spatial–temporal characteristics of grassland dynamic in terms of coverage (Fv), surface bareness (Fb), and net primary production (NPP) from 2000 to 2013 were explored. We implemented the maximum Pearson correlation to analyze the grassland vegetation in response to drought by using self-calibrating Palmer Drou

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Stepinac, Domagoj, Ivan Pejić, Krešo Pandžić, et al. "Selecting Tolerant Maize Hybrids Using Factor Analytic Models and Environmental Covariates as Drought Stress Indicators." Genes 16, no. 7 (2025): 754. https://doi.org/10.3390/genes16070754.

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Background/Objectives: A critical part of the maize life cycle takes place during the summer, and due to climate change, its growth and development are increasingly exposed to the irregular and unpredictable effects of drought stress. Developing and using new cultivars with increased drought tolerance for farmers is the easiest and cheapest solution. One of the concepts to screen for drought tolerance is to expose germplasm to various growth scenarios (environments), expecting that random drought will occur in some of them. Methods: In the present study, thirty-two maize hybrids belonging to f

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Wang, Jianglin, Bao Yang, and Fredrik Charpentier Ljungqvist. "Moisture and Temperature Covariability over the Southeastern Tibetan Plateau during the Past Nine Centuries." Journal of Climate 33, no. 15 (2020): 6583–98. http://dx.doi.org/10.1175/jcli-d-19-0363.1.

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AbstractAccurate projections of moisture variability across the Tibetan Plateau (TP) are crucial for managing regional water resources, ecosystems, and agriculture in densely populated downstream regions. Our understanding of how moisture conditions respond to increasing temperatures over the TP is still limited, due to the short length of instrumental data and the limited spatial coverage of high-resolution paleoclimate proxy records in this region. This study presents a new, early-summer (May–June) self-calibrating Palmer drought severity index (scPDSI) reconstruction for the southeastern TP

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Brázdil, Rudolf, Gaston R. Demarée, Andrea Kiss, et al. "The extreme drought of 1842 in Europe as described by both documentary data and instrumental measurements." Climate of the Past 15, no. 5 (2019): 1861–84. http://dx.doi.org/10.5194/cp-15-1861-2019.

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Abstract. Extreme droughts are weather phenomena of considerable importance, involving significant environmental and societal impacts. While those that have occurred in the comparatively recent period of instrumental measurement are identified and dated on the basis of systematic, machine-standardized meteorological and hydrological observations, droughts that took place in the pre-instrumental period are usually described only through the medium of documentary evidence. The extreme drought of 1842 in Europe presents a case in which information from documentary data can be combined with system

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Vicente-Serrano, Sergio M., Santiago Beguería, and Juan I. López-Moreno. "A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index." Journal of Climate 23, no. 7 (2010): 1696–718. http://dx.doi.org/10.1175/2009jcli2909.1.

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Abstract The authors propose a new climatic drought index: the standardized precipitation evapotranspiration index (SPEI). The SPEI is based on precipitation and temperature data, and it has the advantage of combining multiscalar character with the capacity to include the effects of temperature variability on drought assessment. The procedure to calculate the index is detailed and involves a climatic water balance, the accumulation of deficit/surplus at different time scales, and adjustment to a log-logistic probability distribution. Mathematically, the SPEI is similar to the standardized prec

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Başakın, Eyyup Ensar, Paul C. Stoy, Mehmet Cüneyd Demirel, Mutlu Ozdogan, and Jason A. Otkin. "Combined Drought Index Using High-Resolution Hydrological Models and Explainable Artificial Intelligence Techniques in Türkiye." Remote Sensing 16, no. 20 (2024): 3799. http://dx.doi.org/10.3390/rs16203799.

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We developed a combined drought index to better monitor agricultural drought events. To develop the index, different combinations of the temperature condition index, precipitation condition index, vegetation condition index, soil moisture condition index, gross primary productivity, and normalized difference water index were used to obtain a single drought severity index. To obtain more effective results, a mesoscale hydrologic model was used to obtain soil moisture values. The SHapley Additive exPlanations (SHAP) algorithm was used to calculate the weights for the combined index. To provide i

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Zhu, Junjie, Yuchi Zou, Defen Chen, Weilai Zhang, Yuxin Chen, and Wuxue Cheng. "Analyzing the Spatiotemporal Dynamics of Drought in Shaanxi Province." Atmosphere 15, no. 11 (2024): 1264. http://dx.doi.org/10.3390/atmos15111264.

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Drought, as a natural disaster with wide-ranging impacts and long duration, has an adverse effect on the global economy and ecosystems. In this paper, four remote sensing drought indices, namely the Crop Water Stress Index (CWSI), Vegetation Supply Water Index (VSWI), Temperature Vegetation Dryness Index (TVDI), and Normalized Difference Water Index (NDWI), are selected for drought analysis. The correlation analysis is carried out with the self-calibrated Palmer Drought Severity Index (sc-PDSI), and based on the optimal index (CWSI), the spatiotemporal characteristics of drought in Shaanxi Pro

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Wu, Shujun, Zengchuan Dong, Chenkai Cai, et al. "Identification of Extreme Droughts Based on a Coupled Hydrometeorology Index from GRACE-Derived TWSA and Precipitation in the Yellow River and Yangtze River Basins." Water 15, no. 11 (2023): 1990. http://dx.doi.org/10.3390/w15111990.

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Global climate change and human activities have exacerbated droughts’ environmental and socioeconomic threats. However, there is still a lack of effective techniques to consider their combined impacts on drought identification. Therefore, a new copula-based multivariate standardized drought index (CMSDI) was proposed, which integrates precipitation data and terrestrial water storage anomaly (TWSA) data observed by Gravity Recovery and Climate Experiment (GRACE) satellites. The applicability of the CMSDI was assessed compared with the water storage deficits index (WSDI), the self-calibration Pa

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Papastefanou, Phillip, Christian S. Zang, Zlatan Angelov, et al. "Recent extreme drought events in the Amazon rainforest: assessment of different precipitation and evapotranspiration datasets and drought indicators." Biogeosciences 19, no. 16 (2022): 3843–61. http://dx.doi.org/10.5194/bg-19-3843-2022.

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Abstract. Over the last decades, the Amazon rainforest has been hit by multiple severe drought events. Here, we assess the severity and spatial extent of the extreme drought years 2005, 2010 and 2015/16 in the Amazon region and their impacts on the regional carbon cycle. As an indicator of drought stress in the Amazon rainforest, we use the widely applied maximum cumulative water deficit (MCWD). Evaluating nine state-of-the-art precipitation datasets for the Amazon region, we find that the spatial extent of the drought in 2005 ranges from 2.2 to 3.0 (mean =2.7) ×106 km2 (37 %–51 % of the Amazo

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