Results 131 to 140 of about 84,381 (353)

Projected Annual and Monsoonal Precipitation Trends of CMIP6 Over Peninsular Malaysia

International Journal of Climatology, EarlyView.
In this study, we examined historical and projected precipitation temporal trends across Peninsular Malaysia using ground‐based records and CMIP6 models from NEX‐GDDP. Analysing data from 518 reliable gauges over 1973–2022, it identified spatial and monsoonal variations.
Nurul Afiqah Mohamad Arbai, Masayasu Irie   +1 more
wiley   +1 more source

Projected Intensification of Hydroclimatic Extremes in Rio Grande do Norte, Brazil, Under CMIP6 Scenarios

International Journal of Climatology, EarlyView.
The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley   +1 more source

The Role of Daily and Monthly Bias Corrected Data in Preserving the Monthly Cross‐Correlation Between Precipitation and Temperature

International Journal of Climatology, EarlyView.
Daily bias‐correction aggregated to monthly scale preserves the cross‐correlation between precipitation and temperature better than direct monthly bias‐correction. The Canonical Correlation Analysis (CCA) method outperforms Quantile Regression (QR) and MACA, yielding lower bias and higher accuracy, highlighting its suitability for multivariate climate ...
Chingka Kalai, Shiqi Fang, Rajarshi Das Bhowmik, A. Sankarasubramanian   +3 more
wiley   +1 more source

Three Generations of NARCliM: Evaluation of Precipitation, Temperature and Their Extremes Over the CORDEX Australasia Domain

International Journal of Climatology, EarlyView.
The NSW and Australian Regional Climate Modelling Version 2.0 (NARCliM2.0) builds on NARCliM1.0 and 1.5 to deliver improved regional climate simulations. This study provides the first comprehensive evaluation of NARCliM2.0 against its predecessors, assessing individual model skill in reproducing mean and extreme climate.
Fei Ji, Moutassem El Rafei, Giovanni Di Virgilio, Jatin Kala, Jason P. Evans, Julia Andrys, Eugene Tam, Stephen White, Dipayan Choudhury, Rishav Goyal, Carlos Rocha, Yue Li, Matthew L. Riley   +12 more
wiley   +1 more source

Inter-firm cooperation and innovation: The role of strategic alliances [PDF]

The relationship between inter-firm cooperation and downscaling, outsourcing and multiple firm strategic alliances is explored conceptually and with data from innovative firms.
Luis Suarez-Villa
core  

How Well Do CMIP6 Models Simulate the Influence of the West African Westerly Jet on Sahel Precipitation?

International Journal of Climatology, EarlyView.
Climate models generally reproduce the WAWJ and August peak but simulate its onset prematurely and too strongly relative to ERA5. CMIP6 simulations struggle to reproduce the jet–precipitation relationship in the Sahel and underrepresent associated moisture transports.
Akintunde I. Makinde, Babatunde J. Abiodun, Rachel James, Richard Washington, Ellen Dyer, Tom Webb   +5 more
wiley   +1 more source

A New Hybrid Approach Applying Feature Engineering to Model High Resolution Air Temperature Across Israel

International Journal of Climatology, EarlyView.
A hybrid modelling framework that applies feature engineering using the KNN model to estimate high‐resolution air temperature across Israel by integrating meteorological and environmental predictors. ABSTRACT The increasing global planetary temperature, combined with rapid urbanisation, underscores the urgent need to evaluate human exposure to air ...
Juan David Briceno, Michael Dorman, Guillame Barbalat, Elena Colicino, Massimo Stafoggia, Johanna Lepeule, Itai Kloog   +6 more
wiley   +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

Practical Guide and Best Practices for Diffusion NMR Processing With GNAT

Magnetic Resonance in Chemistry, EarlyView.
A practical and reproducible workflow for diffusion‐NMR (DOSY) data analysis is introduced through a step‐by‐step GNAT tutorial. By establishing clear processing guidelines, validation strategies, and reporting standards, this work aims to reduce variability in diffusion measurements and promote more transparent, comparable, and reliable DOSY studies ...
Tadeu Luiz Gomes Cabral, Guilherme Dal Poggetto, Claudio F. Tormena, Mathias Nilsson   +3 more
wiley   +1 more source

Wilting wildflowers and bummed‐out bees: Climate change threatens US state symbols

People and Nature, EarlyView.
Abstract Species designated as state symbols in the United States carry cultural importance, embody historical heritage and maintain long‐standing linkages to Indigenous traditions. However, they are threatened by climate change and even face the risk of local or global extinction.
Xuezhen Ge, Ya Zou, Heather A. Hager, Jonathan A. Newman   +3 more
wiley   +1 more source