Decoding the Public's Real-Time Emotional and Cognitive Responses to the Changing Climate on Social Media: Computational Analysis Using Weibo and Meteorological Data. [PDF]
J Med Internet ResXu Y, Yuan J, Li S, Liao Q.
europepmc +1 more source
Integrated Forecasts Based on Public Health Surveillance and Meteorological Data Predict West Nile Virus in a High-Risk Region of North America. [PDF]
Environ Health Perspect, 2022 Wimberly MC +3 more
europepmc +1 more source
Projected Annual and Monsoonal Precipitation Trends of CMIP6 Over Peninsular Malaysia
International Journal of Climatology, EarlyView.In this study, we examined historical and projected precipitation temporal trends across Peninsular Malaysia using ground‐based records and CMIP6 models from NEX‐GDDP. Analysing data from 518 reliable gauges over 1973–2022, it identified spatial and monsoonal variations.
Nurul Afiqah Mohamad Arbai +1 more
wiley +1 more source
Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan. [PDF]
Front Public HealthKoge D, Wagatsuma K.
europepmc +1 more source
Robust prediction of hourly PM2.5 from meteorological data using LightGBM. [PDF]
Natl Sci Rev, 2021 Zhong J +10 more
europepmc +1 more source
International Journal of Climatology, EarlyView.The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley +1 more source
DynaLiRD: A dataset for dynamic line rating of overhead transmission lines, utilizing meteorological data and grid parameters based on the IEEE 738-2012 standard. [PDF]
Data BriefAlam N, Rahman MA, Islam MR.
europepmc +1 more source
Prediction Model of Deep Learning for Ambulance Transports in Kesennuma City by Meteorological Data. [PDF]
Open Access Emerg Med, 2021 Watanabe O +6 more
europepmc +1 more source
How Well Is Surface Diurnal Temperature Range Represented by Observations at 2‐m Level
International Journal of Climatology, EarlyView.We demonstrate that geostationary satellites depict well the Diurnal Temperature Range (DTR) in the US but differ from information at 2 m level from model outputs. Upper: mean diurnal temperature range (DTR) using GOES‐E based land surface temperature (LST) for January (left) and July (right) during 2004–2009. Lower: mean diurnal temperature range (DTR)
Rachel T. Pinker +4 more
wiley +1 more source