The new <i>pbl_met</i>: an open-source library for building meteorological processors and advanced data processing tools.

ABSTRACT: This paper presents the pbl_met, an open-source library for processing meteorological data collected in the planetary boundary layer (PBL) using conventional and modern sensors (examples of the latter include three-axial ultrasonic anemometers, SODAR/RASS, and wind-sensing LIDARs). The routines present in the pbl_met encompass the estimation of meteorological quantities (including global and net radiation and turbulence), the processing of ultrasonic anemometer raw data streams, the approximation of mixing height, and various facets of meteorological data management, summarization, and cleaning. The existence in pbl_met of estimation routines of diverse types allows to construct estimation paths of different depths, permitting the crafting of meteorological processors

SUBMITTER: Favaron P 

PROVIDER: S-EPMC8754080 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature