Results 81 to 90 of about 4,896 (264)

Evaluation of CMIP6 Models in Simulating Australian Monsoon Over Northern Australia

International Journal of Climatology, EarlyView.
The study assesses CMIP6 models for their ability to simulate key aspects of the Australian summer monsoon, including precipitation patterns, wind circulation, monsoon onset/retreat, and ENSO teleconnections. Most models overestimate rainfall, underestimate wind strength, and simulate more uniform ENSO influence across northeast and northwest Australia.
Rida S. Kiani, Josephine R. Brown, Andrew D. King, Claire Vincent, Nicola Maher   +4 more
wiley   +1 more source

Mapping the Spatial Scales of Australian Extreme Precipitation Using Daily Rain Gauges

International Journal of Climatology, EarlyView.
We present the first continent‐wide analysis of the spatial scales of daily extreme precipitation events (EPEs) in Australia using station observations and semivariogram analysis. EPEs generally have larger spatial scales at higher latitudes, with strong seasonal and regional differences shaped by topography, meteorological regimes, and climate ...
Dongqi Lin, Kate R. Saunders, Martin S. Singh   +2 more
wiley   +1 more source

Heat and Cold Waves in Brazil: An ERA5‐Based Analysis of Trends and Seasonality (1980–2024)

International Journal of Climatology, EarlyView.
This study uses ERA5 reanalysis data to assess changes in extreme heat and cold events across Brazil from 1980 to 2024. Results reveal a sharp increase in heatwave frequency and a general decline in coldwave occurrences, though regional variations are substantial.
Alindomar Lacerda Silva, Scott Sheridan
wiley   +1 more source

Diurnal Air–Surface Temperature Dynamics in Hong Kong: An Analysis Across Land Use and Climate Zones

International Journal of Climatology, EarlyView.
Daytime and nighttime air temperature (Ta) from automatic weather stations and land surface temperature (Ts) derived from ASTER and Landsat 8–9 are used to examine the relationship between Ta and Ts. The spatial and statistical characteristics of Ta − Ts dynamics are further analysed across land use (LU) and local climate zones (LCZ).
Ibrahim Ademola Adeniran, Majid Nazeer, Man Sing Wong, Jinxin Yang, Pak‐Wai Chan   +4 more
wiley   +1 more source

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

International 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, Ernesto Rodriguez Camino, Esteban Rodriguez Guisado, Andrea Toreti, Massimiliano Pasqui, Constantin Ardilouze, Wafae Badi, Lauriane Batté, Fatima Driouech, Kristina Fröhlich, Javier García‐Serrano, Silvia Terzago, Veronica Torralba   +12 more
wiley   +1 more source

Assessing future flood hazards in the major rivers of Bangladesh using CMIP6 projections and integrated hydrologic-hydraulic modeling

Applied Computing and Geosciences
Climate change is expected to significantly alter flood dynamics in Bangladesh, one of the world's most flood-prone countries. Yet quantitative assessments of future flood hazards in this region remain sparse.
Aishia Fyruz Aishi, Md Kamruzzaman Tusar, Md Ariful Islam   +2 more
doaj   +1 more source

Mesoscale Meteorology "Primer": Training for the Operational Forecaster

, 2001
Mesoscale meteorological processes and the numerical models designed to analyze and forecast these processes are currently in use by the majority of operational forecasters. Although National Weather Service (NWS) forecasters typically have an undergraduate or higher degree in meteorology, forecasters in the Department of Defense typically do not have ...
Nuss, Wendell A., Curry, William T.
openaire   +1 more source

Valley-Forecast: Forecasting Coccidioidomycosis incidence via enhanced LSTM models trained on comprehensive meteorological data

Journal of Biomedical Informatics
Coccidioidomycosis (cocci), or more commonly known as Valley Fever, is a fungal infection caused by Coccidioides species that poses a significant public health challenge, particularly in the semi-arid regions of the Americas, with notable prevalence in California and Arizona. Previous epidemiological studies have established a correlation between cocci
Leif Huender, Mary Everett, John Shovic
openaire   +2 more sources

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

International 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, Avery A. Catherwood, Tyler J. Mitchell   +2 more
wiley   +1 more source

Loss Adaptive Curriculum Learning for Ground-Based Cloud Detection

Remote Sensing
While deep learning has advanced object detection through hierarchical feature learning and end-to-end optimization, conventional random sampling paradigms exhibit critical limitations in addressing hyperspectral ambiguity and low-distinguishability ...
Tianhong Qi, Yanyan Hu, Juan Wang
doaj   +1 more source