Results 161 to 170 of about 128,938 (302)

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

Advancing the diagnosis of rare neuromuscular and neurological diseases through the collaborative Solve-RD research framework. [PDF]

J Neuromuscul Dis
Wüstner LS, Ellwanger K, Schuermans N, Demidov G, Polavarapu K, Matalonga L, Laurie S, Solve-RD DITF-RND, Solve-RD DITF-EURO-NMD, Töpf A, Lohmann K, Graessner H.   +11 more
europepmc   +1 more source

Land‐Atmosphere Coupling Is Associated With Severer Vegetation Productivity Losses During Compound Dry‐Hot Events in Drylands

International Journal of Climatology, EarlyView.
Compound dry‐hot events (CDHEs) exerted severer damage on vegetation productivity for temperate shrublands, savannas and grasslands in drylands. Land‐atmosphere coupling was associated with severer negative impacts of CDHEs through soil moisture–temperature feedback, especially for dry‐event‐leading CDHEs.
Xue Xiao, Mengtian Huang, Chunhui Lu, Panmao Zhai   +3 more
wiley   +1 more source

Systematic Reanalysis of Whole-Exome Sequencing in Genetically Unsolved Pediatric Primary Ciliary Dyskinesia. [PDF]

Pediatr Pulmonol
Hakçıl Öz T, Şişmanlar Eyüboğlu T, Aslan AT, Kula N, Kayhan G.   +4 more
europepmc   +1 more source

Enabling Reanalysis Research Using the Collaborative Reanalysis Technical Environment (CREATE)

, 2018
Modern atmospheric and oceanic reanalysis are valuable assets for atmospheric research and climate monitoring (Kalnay et al. 1996). Now that most reanalysis records are more than 36 years long, the data have become more useful for climate modeling ...
Hertz, Judith A., Carriere, Laura E., Potter, Gerald L., Lee, Tsengdar J., Duffy, Daniel Q., Bosilovich, Michael G., Williams, Dean   +6 more
core  

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

Envisioning a more equitable and economical future for genomic testing. [PDF]

Genet Med Open
Amendola LM, Pilarski R, Grzybowski J, Richardson M, Farwell Hagman KD.   +4 more
europepmc   +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

Climate-stratified assessment of PM2.5 using machine learning: Geographic controls dominate meteorological factors. [PDF]

PLoS One
Utsho SK, Fahim MR, Samsudin R.
europepmc   +1 more source

Climatology of Tropical Cyclones Approaching Tanzania and Their Impacts on Rainfall in East Africa

International Journal of Climatology, EarlyView.
Tropical cyclones (TCs) that approach Tanzania bring heavy rainfall over northern Mozambique, Tanzania, and south‐central Kenya, but the occurrence of these TCs reduces precipitation over southern African countries. Easterly steering winds and the Mascarene High are key features directing TCs westward.
Michinori Ideyoshi, Youichi Kamae
wiley   +1 more source