Power Data Access Viewer-Based Meteorological Drought Analysis and Rainfall Variability in the Nile River Basin

Advances in Meteorology, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 12

Published: March 5, 2024

Meteorological drought poses a frequent challenge in the Nile River basin, yet its comprehensive evaluation across basin has been hindered by insufficient recorded rainfall data. Common indices like standard precipitation index, coefficients of variation, and concentration index serve as pivotal tools gauging severity. This research aimed to assess meteorological status using Power Data Access Viewer product Bias correction procedures were implemented refine monthly data for Bahirdar, Markos, Nekemt, Muger stations, resulting notable improvements coefficient determination ( $R^2$ ) that increased from 0.74 0.93, 0.72 0.89, 0.71 0.96, 0.69 0.84, respectively. The average spatial distribution was classified extremely wet (3.81%), severely (9.01%), moderately (7.36%), near normal (9.97%), (21.20%), (17.11%), (31.54%). Approximately 10.33% situated regions characterized high variability, while around 21.17% located areas with notably irregular index. Overall, this study sheds light on prevailing patterns emphasizing significance understanding managing these phenomena sustainable development region.

Language: Английский

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Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin: A CMIP6-based spatiotemporal analysis and future projections

Journal of Water and Climate Change, Journal Year: 2024, Volume and Issue: 15(7), P. 3328 - 3345

Published: June 14, 2024

ABSTRACT Climate change heightens India's agricultural risks, particularly in nations like India heavily reliant on farming. Previous studies focused Coupled Model Intercomparison Project Phase (CMIP3) and (CMIP5) scenarios for large river basins, but the heightened risk of local climate changes poses a significant threat to smaller notably affecting crops. This study investigates spatiotemporal dynamics impacts paddy crop irrigation Lower Mahanadi Basin, utilizing latest general circulation models (GCMs) from CMIP6, focuses two emission scenarios, SSP585 SSP370. Thirteen were analysed, top six selected based statistical criteria PBIAS, NSE, R2, RSR, RMSE. Models project near- (2025–2050), mid- (2051–2075), far-future (2076–2100) periods against baseline (1981–2014), investigating variations rainfall, temperature, water requirements (IWRs) region. In both future mean seasonal rainfall is expected increase compared with baseline. SSP370 projects 23.7% rise minimum while maximum varies by 11.5%. SSP585, other hand, 9.53% decrease IWR 28.9% Both anticipate 3–4 °C temperature far-future.

Language: Английский

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Variations in air-sea heat fluxes over the North Indian Ocean in recent period

Meteorology and Atmospheric Physics, Journal Year: 2025, Volume and Issue: 137(1)

Published: Jan. 1, 2025

Language: Английский

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Terrestrial water cycle in future climate over India

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 97 - 118

Published: Jan. 1, 2025

Language: Английский

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Land suitability analysis for turmeric crop for humid tropical Kerala, India, under current and future climate scenarios using advanced geospatial techniques

Journal of the Science of Food and Agriculture, Journal Year: 2024, Volume and Issue: 104(7), P. 4176 - 4188

Published: Feb. 22, 2024

Abstract BACKGROUND Turmeric cultivation primarily thrives in India, followed by Bangladesh, Cambodia, Thailand, China, Malaysia, Indonesia and the Philippines. India leads globally both area production of turmeric. Despite this, there is a recognized gap research regarding impact climate change on site suitability The primary objective present study was to evaluate future turmeric within humid tropical region Kerala, employing advanced geospatial techniques. utilized meteorological data from Indian Meteorological Department for period 1986–2020 as historical projected Coupled Model Intercomparison Project Phase 6 (CMIP6). Four climatic scenarios shared socioeconomic pathway (SSP) Intergovernmental Panel Climate Change AR6 model MIROC6 year 2050 (SSP 1–2.6, SSP 2–4.5, 3–7.0 5–8.5) were used. RESULTS results showed that suitable declining scenario this decline can be attributed fluctuations temperature an anticipated increase rainfall 2050. Notable changes spatial distribution areas over time observed through application geographic information system (GIS) Importantly, per criteria provided ICAR‐National Bureau Soil Survey Land Use Planning (ICAR‐NBSS & LUP), all districts Kerala exhibited moderately conditions cultivation. With GIS tools, identified highly suitable, marginally not Kerala. Presently 28% falls under 41% 11% However, considering framework, will significant decrease 19% 5–8.5. This reduction have productivity crop result patterns. CONCLUSION outcome suggests state needs implement adaptation management strategies sustaining Additionally, includes discussion potential address challenges posed changing optimizing region. © 2024 Society Chemical Industry.

Language: Английский

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Multivariate drought risk assessment of tropical river basin in South India under SSP scenarios

Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(7), P. 6843 - 6861

Published: June 8, 2024

Language: Английский

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CMIP6 projected sea surface temperature over the North Indian Ocean

Journal of Earth System Science, Journal Year: 2024, Volume and Issue: 133(4)

Published: Oct. 30, 2024

Language: Английский

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How well the bias-corrected CMIP6 models assess the extreme precipitation indices over India?

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 11(1)

Published: Dec. 31, 2024

Language: Английский

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