Evaluating meteorological data from weather stations, and from satellites and global models for a multi-site epidemiological study.

ABSTRACT:

Background

Longitudinal and time series analyses are needed to characterize the associations between hydrometeorological parameters and health outcomes. Earth Observation (EO) climate data products derived from satellites and global model-based reanalysis have the potential to be used as surrogates in situations and locations where weather-station based observations are inadequate or incomplete. However, these products often lack direct evaluation at specific sites of epidemiological interest.

Methods

Standard evaluation metrics of correlation, agreement, bias and error were applied to a set of ten hydrometeorological variables extracted from two quasi-global, commonly used climate data products - the Global Land Data Assimilation System (GLDAS) and Climate Hazards Group Inf

SUBMITTER: Colston JM 

PROVIDER: S-EPMC6024078 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature