Results 241 to 250 of about 2,062,757 (349)

Compound Hot‐Dry Days (CHDDs) and Their Implications on Maize Yields in the Free State Province, South Africa

open access: yesInternational Journal of Climatology, EarlyView.
Compound hot‐dry events occurring during the maize growing period are increasing significantly (p < 0.05) with time, with the median values ranging from 93 to 120 days. El Niño Southern Oscillation (ENSO) influences the variability of compound hot‐dry events with high significance (p < 0.05) positive Pearson correlation.
Mokhele Moeletsi, Mitsuru Tsubo
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

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

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