Results 61 to 70 of about 11,795 (298)

Multifractal analysis of malaria cases in India in a global warming scenario

Journal of Water and Climate Change, 2023
An effort is made to evaluate the multifractal properties of malaria cases in India from 1980 to 2014. The possible changes in these properties in a global warming scenario (during 2015–2049) are also quantified.
Suneet Dwivedi, Shweta Chaturvedi
doaj   +1 more source

Hadley cell expansion in CMIP6 models [PDF]

, 2020
In response to increasing greenhouse gases, the subtropical edges of Earth's Hadley circulation shift poleward in global climate models. Recent studies have found that reanalysis trends in the Hadley cell edge over the past 30–40 years are within the ...
K. M. Grise, S. M. Davis
core   +1 more source

Assessing Taiwan's Future Climate: High Resolution Projections and Regional Impacts From Statistical Downscaling of CMIP6 Data

International Journal of Climatology, EarlyView.
The Taiwan Empirical‐Statistical Downscaling (TaiESD) dataset utilises quantile mapping (QM) for temperature and quantile delta mapping (QDM) for precipitation bias correction. It was developed to provide high‐resolution climate change information for Taiwan.
Cheng‐Ta Chen, Yu‐Shiang Tung, Chun‐Yu Wang, Shiou‐Li Lin   +3 more
wiley   +1 more source

Extreme Climate Events in Morocco: Historical Analysis and Future Projections Based on CMIP6 Simulations

International Journal of Climatology, EarlyView.
Historical observations and bias‐corrected CMIP6 projections reveal intensifying warm extremes, declining cold events and increasingly irregular precipitation patterns across Morocco. Future warming, particularly under SSP5‐8.5, produces an almost linear amplification of heat, aridity and hydrological stress, leading to longer droughts and more intense
Oualid Hakam, Abdelhakim Amazirh, El Houssaine Bouras, Victor Ongoma, Abdelghani Chehbouni   +4 more
wiley   +1 more source

Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking ensemble machine learning

Journal of Water and Climate Change, 2023
This study proposes a novel downscaling technique based on stacking ensemble machine learning (SEML) to predict rainfall under climate change. The SEML consists of two levels.
Mahdi Valikhan Anaraki, Mojtaba Kadkhodazadeh, Amirreza Morshed-Bozorgdel, Saeed Farzin   +3 more
doaj   +1 more source

Projections of Meteorological Drought and Potential Evapotranspiration Using the RegCM4 Over Northeastern Iran

International Journal of Climatology, EarlyView.
We downscale CanESM2 with the Regional Climate Model version 4 (20 km) and evaluate against 15 stations to derive monthly PET (Hargreaves–Samani) and SPEI for northeastern Iran (1990–2009, 2040–2059, 2080–2099). Results show robust PET increases and a shift toward more negative monthly SPEI—especially April–September—indicating earlier onset and longer
Nasrin Salehnia, Peter T. Wolter, Sylvester Chikabvumbwa, Fateme Hosseini, Sohrab Kolsoumi, Ali Farid, Hashem Zahedipour   +6 more
wiley   +1 more source

Detection, Attribution and Projection of Precipitation Structure Changes Over Northwest China

International Journal of Climatology, EarlyView.
The precipitation structure shows a change trend of ‘the frequency of light precipitation decreased and the intensity of heavy precipitation increased’; attribution analysis shows that greenhouse gas forcing (GHG) is the main driving factor of precipitation structure change, and the model underestimates its impact, while aerosol forcing (AER) and ...
Shigen Wang, Wei Li, Lianyi Guo, Siyan Dong   +3 more
wiley   +1 more source

The CMIP6 data request: The next generation climate archive [PDF]

, 2015
A poster to show the CMIP6 data request: The next generation climate archive. Phase 6 of the World Climate Research Programme (WCRP) Coupled Model Inter-comparison Project (CMIP6) will be organised through a collection of endorsed model inter-comparison ...
Juckes, Martin N, Stouffer, Ron, Eyring, Veronika, Taylor, Karl, Belaji, Venkatramani   +4 more
core  

znicholls/CMIP6-json-data-citation-generator: Initial release

, 2018
<p>First release of the CMIP6 JSON Data Citation Generator.
Zeb Nicholls
core   +1 more source

Evaluating Reference Evapotranspiration (ETo) Calculation Methods and Quantifying Climate‐Driven Change in Irrigation Demand Across Nepal's Terai

International Journal of Climatology, EarlyView.
Framework illustrating the comparison of different reference evapotranspiration (ETo) estimation methods and the integration of baseline ETo, crop water requirement (CWR), and irrigation water requirement (IWR) calculations with downscaled CMIP6 climate projections under SSP245 and SSP585 scenarios for the mid‐century and late‐century periods across ...
Umesh Kumar Sujakhu, Rajesh Khatakho, Naresh Suwal, Ayush Poudel   +3 more
wiley   +1 more source