Development of the outdoor personal thermal index (OPTI) for evaluating heat strain risk using personal, observational, geographical, and meteorological data. [PDF]
Ordudari Z +3 more
europepmc +1 more source
Prediction of municipality-level winter wheat yield based on meteorological data using machine learning in Hokkaido, Japan. [PDF]
Murakami K +4 more
europepmc +1 more source
Performance Evaluation of the MPAS Model in Simulating Southeast Asian Rainfall Characteristics
This study evaluates the performance of the Model for Prediction Across Scales–Atmosphere (MPAS) in reproducing key rainfall characteristics over Southeast Asia (SEA) during 2000–2020, using the MSWEP dataset as reference. MPAS realistically captures the observed meridional rainfall gradient, with higher rainfall in the south and lower in the north, as
Nguyen Thanh Hung +4 more
wiley +1 more source
Association between seasons with substantial atmospheric pressure change and migraine occurrence: a retrospective cohort study using Japanese claims data and meteorological data. [PDF]
Tatsumoto M +5 more
europepmc +1 more source
National cohort and meteorological data based nested case-control study on the association between air pollution exposure and thyroid cancer. [PDF]
Park SJ, Min C, Yoo DM, Choi HG.
europepmc +1 more source
The Emergence of a Climate Change Signal in Ireland's Rainfall Extremes
Analysis of Irish precipitation records (1930–2019) shows significant relationships between rainfall extremes and global mean surface temperature (GMST), with increases of 12%–27% per °C of warming. Emergence of unusual climate conditions is already evident at several stations, most notably in the west during winter and the southeast during summer ...
Saoirse Fordham, Conor Murphy
wiley +1 more source
Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic. [PDF]
Noureddine ON +6 more
europepmc +1 more source
Spatio-temporal analysis and prediction of malaria cases using remote sensing meteorological data in Diébougou health district, Burkina Faso, 2016-2017. [PDF]
Bationo CS +13 more
europepmc +1 more source
What Do Latest CMIP6 Global Climate Models Say About Future Arctic Sea Ice Coverage Changes?
Modelling of sea ice dynamics has significantly improved between CMIP5 and CMIP6, with nearly three times as many models capturing realistic annual variability in sea ice extent (SIE). What we previously thought was a non‐linear pattern of low SIE observations in 2007–2010 that would continue throughout time now appears to be non‐record‐setting lows in
Jessica L. Matthews +4 more
wiley +1 more source
Potato Late Blight Outbreak: A Study on Advanced Classification Models Based on Meteorological Data. [PDF]
Bagchi P +4 more
europepmc +1 more source

