Results 101 to 110 of about 89,931 (247)

Post‐Processed CMIP6 Climate Projections for Hydro‐Environmental Risk Assessment in the Middle East and Central Asia

open access: yesInternational Journal of Climatology, EarlyView.
Estimating water resources is important for regional climate impact analysis and risk estimation. The Middle East and Central Asia have largely reached the limit of sustainably usable water across their river basins and ecosystems. Strategies designed to mitigate environmental risks require a reliable estimation of water availability trends.
Paolo Reggiani   +4 more
wiley   +1 more source

Seasonal Predictions and Their Applications in the Mediterranean Region: Part I—Sources of Predictability and Prediction Skill

open access: yesInternational Journal of Climatology, EarlyView.
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio   +12 more
wiley   +1 more source

Seasonal Predictions and Their Applications in the Mediterranean Region: Part II—Prediction‐Based Services

open access: yesInternational Journal of Climatology, EarlyView.
This review explores climate predictions as actionable decision‐making tools, focusing on the Mediterranean. It examines transforming forecasts into user‐defined information through bias adjustment, downscaling and impact models. Highlighting collaborative EU initiatives, it addresses challenges like limited forecasting skill and data accessibility ...
Silvio Gualdi   +12 more
wiley   +1 more source

User‐Relevant Climate Indices and Associated Uncertainties From Transient Convection‐Permitting Climate Model Projections

open access: yesInternational Journal of Climatology, EarlyView.
A transient ensemble of convection‐permitting climate simulations is used to compute bias‐corrected user‐relevant climate indices for Germany under recent and future climate conditions, both considering high spatial resolution and uncertainty estimations. For high temperature indices, a clear increase is observed, for example, for hot days and tropical
Joaquim G. Pinto   +6 more
wiley   +1 more source

Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data

open access: yesInternational Journal of Climatology, EarlyView.
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas   +2 more
wiley   +1 more source

Atmospheric River Event Frequency Is the Principal Moisture Driver for Radial Growth of High‐Elevation Southern California, USA Conifers, 1658–2020 CE

open access: yesInternational Journal of Climatology, EarlyView.
Conifers growing in high‐elevation alpine environments in the mountains of Southern California, USA, are highly responsive to atmospheric river (AR) events, which typically produce heavy precipitation over 1–3 days. However, it is the frequency of the AR events, not their magnitude nor annual precipitation totals, that most affects the radial growth of
Paul A. Knapp   +2 more
wiley   +1 more source

Projected 21st Century Changes in Precipitation and Temperature Over Italy Using CMIP6 CMCC‐CM2‐SR5 Model and COSMO‐CLM Dynamical Downscaling

open access: yesInternational Journal of Climatology, EarlyView.
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano   +5 more
wiley   +1 more source

What Do Latest CMIP6 Global Climate Models Say About Future Arctic Sea Ice Coverage Changes?

open access: yesInternational Journal of Climatology, EarlyView.
Modelling of sea ice dynamics has significantly improved between CMIP5 and CMIP6, with nearly three times as many models capturing realistic annual variability in sea ice extent (SIE). What we previously thought was a non‐linear pattern of low SIE observations in 2007–2010 that would continue throughout time now appears to be non‐record‐setting lows in
Jessica L. Matthews   +4 more
wiley   +1 more source

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