Results 81 to 90 of about 43,937 (235)

Risk Level Analysis of Lightning Strike with Simple Additive Weighting Method in Gowa Region

Jurnal Penelitian Fisika dan Aplikasinya, 2018
Gowa regency is one of the areas in the province of South Sulawesi that has a high potential of lightning events. This is influenced by its geographical location which is close to the mountainous area.
Ramadhan Priadi, Teuku Hafid Hududillah
doaj   +1 more source

Low‐Intensity Precipitation Dominates Peninsular Spain (1961–2022)

International Journal of Climatology, EarlyView.
Spatial analysis across Spain shows a shift in precipitation regimes (1961–2022) toward more frequent low‐intensity precipitation and reduced high‐intensity events, with localised increases in heavy precipitation along some coastal areas. This redistribution—captured through changes in precipitation frequency (RF) and volumetric contribution (RC ...
Ahmed M. El Kenawy, Santiago Beguería, Fernando Domínguez‐Castro, Amar Halifa‐Marín, Maria Adell‐Michavila, Borja Latorre, Magí Franquesa, Islam M. Gaber, Islam M. Hamdi, Sergio M. Vicente‐Serrano   +9 more
wiley   +1 more source

The Purpri Fault: A newly identified active fault in East Kolaka, Indonesia, based on HypoDD and DInSAR [PDF]

Geološki Anali Balkanskoga Poluostrva
The Purpri Fault, a newly identified active fault in East Kolaka, Indonesia, has been analyzed using an integrated geophysical approach, combining HypoDD earthquake relocation and DInSAR ground deformation analysis.
Purba Joshua, Priadi Ramadhan, Frando Muhammad, Pertiwi Imanuela Indah   +3 more
doaj   +1 more source

Satellite and Reanalysis Dataset Dependence of ETCCDI Extreme Precipitation Trends in Paraná, Southern Brazil

International Journal of Climatology, EarlyView.
Extreme precipitation trends detected in Paraná, Southern Brazil (1983–2024), are strongly conditioned by the dataset used, with reanalyses indicating coherent inland drying and longer dry spells, observations retaining stronger mesoscale heterogeneity, and satellite products often showing declines in short‐duration extremes. Monthly diagnostics reveal
Paulo Miguel de Bodas Terassi, Jakeline Baratto, Vitor Hugo Rosa Biffi   +2 more
wiley   +1 more source

Long‐Term Analysis of Winter Wheat Yield and Climatic Influences in Ukraine

International Journal of Climatology, EarlyView.
Long‐term field data (1968–2024) show that winter wheat yields in central Ukraine increased despite warming, but yield stability declined. Rising temperatures, more frequent soil moisture droughts and shortened winter calm increasingly limit productivity.
Tetiana Grabovska, Jerome Schneuwly, Mykola Grabovskyi, Mykola Lozinskiy, Hynek Roubik   +4 more
wiley   +1 more source

Analysis of changes in daily temperature and precipitation extreme in Jakarta on period of 1986-2014

MATEC Web of Conferences, 2018
Climate change due to an increase in greenhouse gas concentrations has led to changes in extreme climate events. IPCC 2007 already predicted that average global temperatures would reach 0.74⁰ C in the last 100 years (1906-2005).
Khoir Aulia N., Mamlu’atur R., Safril Agus, Fadholi Akhmad   +3 more
doaj   +1 more source

Multi‐Timescale Drought Evolution in Greece (1960–2022) From Station‐Based SPI and SPEI

International Journal of Climatology, EarlyView.
Using homogenized data from 67 HNMS stations in Greece (1960–2022), we calculated SPI and SPEI at 1–12‐month scales to characterize meteorological to hydrological drought. We quantified the network‐based spatial extent of drought, compared SPI and SPEI drought signals, and tested changes with autocorrelation‐robust Mann–Kendall trends and Pettitt ...
Michael Samouris, Anna Mamara, Vasileios Armaos, Athanassios Argiriou   +3 more
wiley   +1 more source

Operational numerical weather prediction with ICON on GPUs (version 2024.10) [PDF]

Geoscientific Model Development
Numerical weather prediction and climate models require continuous adaptation to take advantage of advances in high-performance computing hardware. This paper presents the port of the ICON model to GPUs using OpenACC compiler directives for numerical ...
X. Lapillonne, D. Hupp, F. Gessler, A. Walser, A. Pauling, A. Lauber, B. Cumming, C. Osuna, C. Müller, C. Merker, D. Leuenberger, D. Leutwyler, D. Alexeev, G. Vollenweider, G. Van Parys, J. Jucker, L. Jansing, M. Arpagaus, M. Induni, M. Jacob, M. Kraushaar, M. Jähn, M. Stellio, O. Fuhrer, P. Baumann, P. Steiner, P. Kaufmann, R. Dietlicher, R. Müller, S. Kosukhin, T. C. Schulthess, U. Schättler, V. Cherkas, W. Sawyer   +33 more
doaj   +1 more source

Station‐Based Assessment of Sub‐Seasonal Climate Trends in the Tyrolean Alps (Austria)

International Journal of Climatology, EarlyView.
In this study, we quantify the magnitude and significance of sub‐seasonal trends in the Tyrolean Alps (Austria) by collecting, processing and analysing meteorological observations from a dense network of climate stations. Our analysis indicates a warming rate of 0.43°C/dec over 1964–2023, greater sub‐seasonal trend variability when the analysis window ...
Erwin Rottler, Elena Bertazza, Franz Wagner, Gertraud Meißl, Theresa Schellander‐Gorgas, Johannes Schöber, Ulrich Strasser   +6 more
wiley   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

International Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo, Michel Baptistella Stefanello, Alecsander Mergen, Maria Eduarda Oliveira Pinheiro, Vanessa de Arruda Souza, Débora Regina Roberti   +5 more
wiley   +1 more source