Results 221 to 230 of about 4,208,374 (379)

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

Incidence of psychotic disorders by birth cohort: a population-based cohort study in Ontario, Canada. [PDF]

open access: yesCMAJ
Myran DT   +8 more
europepmc   +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

ANS Reports 1960

open access: yesNames, 1961
Names: A Journal of Onomastics
doaj   +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

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