The Signatures of the Climate Change Regime on Precipitation Over Pakistan DOI

Abdul Jameel Khan,

Kamran Khan,

Atia Elahi

et al.

Published: Jan. 1, 2024

Language: Английский

Microplastics pollution in inland aquatic ecosystems of India with a global perspective on sources, composition, and spatial distribution DOI Creative Commons

Jaswant Singh,

Brijesh Kumar Yadav, Uwe Schneidewind

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 53, P. 101798 - 101798

Published: May 3, 2024

Indian inland aquatic ecosystems. Microplastics (MPs) have been identified as emerging contaminants, potentially impacting public and ecosystem health. This comprehensive review discusses the current state of knowledge on MP contamination mechanistic process understanding in It highlights gaps regarding data methodological differences sampling sample processing that can lead to contrasting results. Most studies reviewed here provided evidence water, sediment certain indicator species ecosystems at specific locations times. Significant seasonal variations concentrations for pre-, during post-monsoon periods. We found only a few considered inherent spatio-temporal variability concentrations, intricate interplay with hydrological key parameters has largely overlooked. However, order improve our how MPs are transported within these (e.g., river networks) decide potential pollution mitigation, it is imperative link concentration physico-chemical characteristics information such flow velocity or discharge. will provide loads help establish loading functions needed better understand impacts

Language: Английский

Citations

7

The changing characteristics of propagation time from meteorological drought to hydrological drought in a semi‐arid river basin in India DOI
Ajay Gupta, Manoj Jain, Rajendra Pandey

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(8)

Published: Aug. 1, 2024

Abstract This study employs an event‐based approach to analyse drought propagation from meteorological hydrological via agricultural in the semi‐arid Krishna River basin of India. The Standardized Precipitation Evapotranspiration Index (SPEI), Soil Moisture (SSMI) and Streamflow (SSI) representing meteorological, drought, respectively, were estimated. Two different cases are analysed: meteorological‐to‐agricultural (SPEI‐to‐SSMI) agricultural‐to‐hydrological (SSMI‐to‐SSI). is analysed using three‐time matrices, namely time difference between initiation (), peak () termination at multiple timescales 1, 3, 6, 9 12 months threshold values 0, −0.5, −1 − 1.5, delineate shifts mild extreme conditions detail. results indicate that SPEI‐to‐SSMI decreased for most tributaries values, whereas it increased significantly SSMI‐to‐SSI drought. changes with respect as well magnitude (intensity severity). factor ( PF ), defined ratio average value succeeding preceding characteristics, has also been studied. For duration shrinks across all expands On other hand, severity intensity magnify experiences dampening effects Thus, proposed provides valuable insights into dynamics, aiding managing mitigating droughts river elsewhere.

Language: Английский

Citations

4

A Cluster‐Based Data Assimilation Approach to Generate New Daily Gridded Time Series Precipitation Data in the Himalayan River Basins DOI Creative Commons
Japjeet Singh, Vishal Singh, C. S. P. Ojha

et al.

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(1)

Published: Jan. 1, 2025

Abstract Recent studies show variations in precipitation‐gridded data set accuracy with changing geographical parameters. Ensemble precipitation products, combining diverse sets, offer global‐scale effectiveness, but applying them to regional studies, particularly small medium‐sized sub‐basins, presents challenges addressing dependence on specific conditions. Here, we present a newly developed Clusters Based‐Minimum Error approach assimilate different open‐source gridded sets for forming an accurate product over hilly terrain basins, limited gauges. This methodology generates the New Gridded Precipitation Data Set (NGPD) from 1991 2022 Upper Ganga Basin western Himalaya, covering approximately 22,292 km 2 . The study utilizes nine and 11 observed gauges, NGPD is evaluated through station‐wise, grid‐wise, elevation‐wise analyses using statistical parameters, quantile‐quantile plots, daily coefficient of determination, Rainfall Anomaly Index, seasonality/precipitation pattern analyses. Results demonstrate superior performance compared other sources across various evaluation metrics. Nash‐Sutcliffe Efficiency (NSE), Coefficient determination ( R ), Root mean squared error (RMSE) range 0.67 0.90, 0.73–0.93, 4.4–10.69 mm/day, respectively, w.r.t outperforms widely used IMD India, exhibiting monthly scale improvement 18.47% 17.7% average NSE values, respectively. Additionally, also successfully applied Tamor Nepal, proving its reliability Himalayan regions. reliably creates especially regions station data.

Language: Английский

Citations

0

Spatiotemporal distribution and ecological hazards of microplastic pollution in soil water resources around a wastewater treatment plant and municipal solid waste site DOI

Jaswant Singh,

Brijesh Kumar Yadav, Stefan Krause

et al.

Journal of Contaminant Hydrology, Journal Year: 2025, Volume and Issue: 269, P. 104515 - 104515

Published: Feb. 1, 2025

Language: Английский

Citations

0

Assessment of five global gridded precipitation estimates over a southern Mediterranean basin (Tensift, Morocco) DOI Creative Commons

Kaoutar Oukaddour,

Younes Fakır, Michel Le Page

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 25, 2025

Gridded Precipitation Products (GPPs) could exhibit discrepancies related to detecting precipitation amounts and patterns. This paper aims evaluate the accuracy of five GPPs currently in operational production over Tensift basin southern Mediterranean. The are reanalysis-based (ERA5, ERA5-Land, MERRA-2) multi-source data fusion (TerraClimate, MSWEPv2.8). Their annual monthly compared observations from fourteen ground gauges entire period 1980 2021 each decade this period. A set statistical metrics, such as Kling Gupta Efficiency (KGE) Root Mean Square Error (RMSE), well Bias, served carry out evaluation. Four main findings be highlighted: (i) have, general, a good correlation with gauge data; hence they used study temporal variability observed precipitation. (ii) ERA5-Land does not bring significant improvements estimates apart its finer spatial resolution. (iii) perform better plain than mountains. (iv) TerraClimate MSWEPv2.8 present consistency across decades. ERA5 TerraClimate, longest series, were visualize trends basin.

Language: Английский

Citations

0

Statistical trend characteristics of rainfall over Kerala, India evaluated through analysing modern era retrospective analysis for research and applications (MERRA-2) reanalysis data DOI

Ninu Krishnan Modon Valappil,

José Francisco de Oliveira‐Júnior, David Mendes

et al.

Bulletin of Atmospheric Science and Technology, Journal Year: 2025, Volume and Issue: 6(1)

Published: Feb. 25, 2025

Language: Английский

Citations

0

Evaluating the accuracy of the global precipitation products: a time-series analysis in Poland DOI
Reza Sarli, Vahid Nasiri, Paweł Hawryło

et al.

Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(3)

Published: March 1, 2025

Language: Английский

Citations

0

Examining the performance of precipitation products in characterizing the Indian summer monsoon rainfall (ISMR) using triple collocation DOI
Sandipan Paul, Hamed Alemohammad

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133136 - 133136

Published: March 1, 2025

Language: Английский

Citations

0

Understanding the dynamics of 2024 extreme heat event in India: Spatial variability, hydrometeorological impacts, and model evaluation DOI Creative Commons
Akash Verma, Leena Khadke, Sachin Budakoti

et al.

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 108154 - 108154

Published: April 1, 2025

Language: Английский

Citations

0

Assessments of various precipitation product performances and disaster monitoring utilities over the Tibetan Plateau DOI Creative Commons
Yibo Ding,

Fengzuo Wang,

Zehua Lu

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 26, 2024

The Tibetan Plateau, often referred to as Asia's water tower, is a focal point for studying spatiotemporal changes in resources amidst global warming. Precipitation crucial resource the Plateau. information holds significant importance supporting research on In this study, we estimate performance and applicability of Climate Prediction Center Merged Analysis (CMAP), Integrated Multi-Satellite Retrievals Global Measurement (IMERG), Land Data Assimilation System (GLDAS), Climatology Project (GPCP) precipitation products estimating different disaster scenarios (including extreme precipitation, drought, snow) across Extreme drought indexes are employed describe conditions. We evaluated various using daily time series from 2000 2014. Statistical metrics were used compare performances products. results indicate that (1) Both CMAP IMERG showed higher fitting degrees with gauge observations precipitation. Probability detection, False Alarm Ratio, Critical Success Index values approximately 0.42 0.72, 0.38 0.56, 0.30 0.42, respectively. Different presented average amount frequency southeastern (2) GPCP relatively great poor performance, respectively, predicting monthly plateau. alarms might have notable impact accuracy (3) could be better predicted by day badly bias estimation increased scale increased. (4) GLDAS simulating (main range RMSE: 2.0-4.5) snowfall than rainfall sleet G-Noah demonstrated slightly 1.0-2.1) 2.0-3.8) 1.5-3.8). This study's findings contribute understanding variations among identifying potential factors contributing biases within these Additionally, study sheds light characteristics warning systems specific

Language: Английский

Citations

3