Impacts of Climate Change on Temperature and Rainfall on Dawa Sub-watershed, Genale Dawa River Basin, Southern Ethiopia DOI Open Access

Ayana Bulti,

Fentaw Abegaz

International Journal of Atmospheric and Oceanic Sciences, Год журнала: 2024, Номер 8(1), С. 1 - 23

Опубликована: Сен. 20, 2024

Understanding how climate change affects the frequency and length of temperature rainfall is global issue. Climate statistical variations over an extended period in features system, such as temperatures precipitation, caused by human natural sources. In this work coordinated regional downscaling experiment for Africa, which integrates forecasts from Coupled Model Intercomparison Project5 based on ensemble GCM RCM model was used to statistically downscale scenarios. This study aimed estimate impacts rainfall. The impact has been evaluated reporting under RCP4.5 8.5 For extraction bias correction daily maximum minimum temperature, well 30-year overlap periods, CMhyd employed. annual are predicted increase 2.94, 3.45, 3.21, 3.59°C increased 2.61, 2.83, 2.71 3.36°C RCP8.5 respectively. reveals average decreases 8.45 9.3% 10.5 10.95% at 8.5, Considering parameters, trends but rainfall, large fluctuations were predicted. Moreover, years parameters all simulated models, scenario estimated a higher amount than scenario. Implement various trees, apply water harvesting structure, Surface runoff more multiple GCM-RCM driving models with outputs improve prediction accuracy future studies.

Язык: Английский

Future projections of temperature-related indices in Prince Edward Island using ensemble average of three CMIP6 models DOI Creative Commons
Junaid Maqsood, Xiuquan Wang, Aitazaz A. Farooque

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июнь 3, 2024

Abstract Prince Edward Island (PEI) is an agricultural province heavily relying on rainfed agriculture. The island has already experienced significant impacts from climate change. Accurate projections of PEI temperature extreme indices are required to mitigate and adapt the changing conditions. This study aims develop ensemble using Coupled Model Intercomparison Project Phase 6 (CMIP6) global circulation models (GCMs) analyze extremes PEI. In this study, ECMWF ERA5 reanalysis dataset was chosen for stepwise cluster analysis (SCA) due its high accuracy. Three CMIP6 (NorESM2-MM, MPI-ESM1.2-HR, CanESM5) GCMs, along with their average, were utilized in SCA model project future changes daily maximum (Tmax) minimum (Tmin) at four meteorological stations (East Point, Charlottetown, Summerside, North Cape) under two shared socioeconomic pathways (SSP2-4.5 SSP5-8.5). These GCMs selected based low, medium, Equilibrium Climate Sensitivity. bias-corrected results period Tmax Tmin showed that GCM-specific ECS also impact regional scale. Additionally, several indices, including range (DTR), summer days (SU), growing degree (GDD), season length (GSL), ice (ID), frost (FD), analyzed periods: FP1(202–2050) FP2 (2051–2075). indicate DTR, SU, GDD, GSL expected increase, while ID FD projected decrease during FP1 both scenarios. mean monthly Tmax, Tmin, highlight warmer periods increase agriculture-related such as GDD GSL. Specifically, July, August, September experience even higher temperatures future. As becomes warmer, cold events be shorter duration but more intense terms impact. largest increments/decrements relevant observed SSP5-8.5. outcomes provide valuable insights development, water resource management, formulation effective mitigation strategies address change

Язык: Английский

Процитировано

2

Quantifying the Impact of Future Climate Change on Flood Susceptibility: An Integration of CMIP6 Models, Machine Learning, and Remote Sensing DOI
Farinaz Gholami, Yue Li,

Junlong Zhang

и другие.

Journal of Water Resources Planning and Management, Год журнала: 2024, Номер 150(9)

Опубликована: Июнь 19, 2024

Язык: Английский

Процитировано

2

Projecting Irrigation Water and Crop Water Requirements for Paddies Using WEAP-MABIA under Climate Change DOI Creative Commons

Hamizah Rhymee,

Shahriar Shams, Uditha Ratnayake

и другие.

Water, Год журнала: 2024, Номер 16(17), С. 2498 - 2498

Опубликована: Сен. 3, 2024

Monitoring future irrigation water demand as a part of agricultural interventions is crucial to ensure food security. In this study, the impact climate change on paddy cultivation in Brunei investigated, focusing Wasan rice scheme. This research aims project requirement (IWR) and crop (CWR) or main off season using WEAP-MABIA model. Historical data analysis over past 30 years projections up 2100 are employed assess potential impacts. An ensemble statistically downscaled models, based seven CMIP6 GCMs under shared socioeconomic pathways (SSPs) (SSP245, SSP370, SSP585), was utilised IWR CWR. Using data, three periods were bias-corrected quantile delta mapping (QDM) for 2020–2046 (near future), 2047–2073 (mid 2074–2100 (far future). The model utilises dual coefficient approach evaluate evapotranspiration (ETc), critical factor computing IWR. Results indicate that changes temperatures will lead higher average ETc. Consequently, results elevated demands during season, it especially prominent high-emission scenarios (SSP370 SSP585). While experiences relatively stable slightly increasing trend, consistently shows decreasing trend Moreover, benefits from substantial rainfall increases, effectively reducing despite rise both maximum minimum temperatures. study also highlights some recommendations implementing possible improvements management address effects region. Future investigation should focus enhancing yield predictions by integrating dynamic growth adjusts changing (Kc) values.

Язык: Английский

Процитировано

2

Multilevel factorial analysis for effects of SSPs and GCMs on regional climate change: a case study for the Yangtze River Basin DOI

Wenshu Kuang,

Guohe Huang, Xiong Zhou

и другие.

Climate Dynamics, Год журнала: 2023, Номер 62(3), С. 1811 - 1828

Опубликована: Ноя. 6, 2023

Язык: Английский

Процитировано

5

Unprecedented Human‐Perceived Heat Stress in 2021 Summer Over Western North America: Increasing Intensity and Frequency in a Warming Climate DOI Creative Commons
Dae Il Jeong, Bin Yu, Alex J. Cannon

и другие.

Geophysical Research Letters, Год журнала: 2023, Номер 50(24)

Опубликована: Дек. 15, 2023

Abstract The unprecedented 2021 June‐July heatwave in Western North America resulted record‐breaking human‐perceived heat stress across the region, measured by humidex considering both air temperature and humidity. During extended summer (June‐September), 95th percentiles of daily maximum (HX95) (TX95) have increased over 1940–2022 period, with even faster intensification last two decades (2001–2022). HX95 has more than TX95 because positive monotonic nonlinear relationship between at a given level relative Canadian Earth System Model version 5 (CanESM5) projects larger increase region under low to high emission scenarios (HX95 increases 4.40–7.04°C 2.92–4.65°C 1981–2010 2041–2060). Moreover, CanESM5 significant frequency HX TX conditions that exceed levels reached intermediate scenarios.

Язык: Английский

Процитировано

5

A stepwise-clustered copula downscaling approach for ensemble analyses of discrete and interactive features in precipitation-extreme variations: a case study for eastern China DOI

Bizheng Yu,

Guohe Huang, Xiong Zhou

и другие.

Climate Dynamics, Год журнала: 2024, Номер unknown

Опубликована: Май 6, 2024

Язык: Английский

Процитировано

1

Impacts of Climate Change on Temperature and Rainfall on Dawa Sub-watershed, Genale Dawa River Basin, Southern Ethiopia DOI Open Access

Ayana Bulti,

Fentaw Abegaz

International Journal of Atmospheric and Oceanic Sciences, Год журнала: 2024, Номер 8(1), С. 1 - 23

Опубликована: Сен. 20, 2024

Understanding how climate change affects the frequency and length of temperature rainfall is global issue. Climate statistical variations over an extended period in features system, such as temperatures precipitation, caused by human natural sources. In this work coordinated regional downscaling experiment for Africa, which integrates forecasts from Coupled Model Intercomparison Project5 based on ensemble GCM RCM model was used to statistically downscale scenarios. This study aimed estimate impacts rainfall. The impact has been evaluated reporting under RCP4.5 8.5 For extraction bias correction daily maximum minimum temperature, well 30-year overlap periods, CMhyd employed. annual are predicted increase 2.94, 3.45, 3.21, 3.59°C increased 2.61, 2.83, 2.71 3.36°C RCP8.5 respectively. reveals average decreases 8.45 9.3% 10.5 10.95% at 8.5, Considering parameters, trends but rainfall, large fluctuations were predicted. Moreover, years parameters all simulated models, scenario estimated a higher amount than scenario. Implement various trees, apply water harvesting structure, Surface runoff more multiple GCM-RCM driving models with outputs improve prediction accuracy future studies.

Язык: Английский

Процитировано

0