Bias correction of monthly air temperature from the NASA POWER gridded meteorological dataset over Bangalore Urban, India: a comparative evaluation of statistical and machine-learning methods
A district-scale assessment of statistical and machine-learning approaches for monthly temperature bias correction using the NASA POWER gridded meteorological dataset and IMD district-level observations provides an improved basis for urban climate studies, heat-related assessments, and analyses of temperature variabili...