MWRpy: A Python package for processing microwave radiometer data

• DOI: 10.21105/joss.06733
• Publication Date: 2024-06-20T14:19:33Z
• Authors: Tobias Marke; Ulrich Löhnert; Simo Tukiainen; Tuomas Siipola; Bernhard Pospichal
• Keywords: Python; Microwave radiometer

Ground-based passive microwave radiometers (MWRs) are deployed to obtain information on the vertical structure of temperature and water vapor mostly in lower troposphere.In addition, they used derive total column-integrated liquid content atmosphere, referred as path (LWP).MWRs measure radiances, given brightness temperatures ( ), typically two frequency ranges along absorption features oxygen, well window regions where observations sensitive clouds.Profiles humidity retrieved together with vertically integrated (IWV) LWP (e.g., Crewell & Löhnert (2003), Maier 2012)).A specific elevation scanning configuration allows for an improved resolution profiles atmospheric boundary-layer (Crewell Löhnert, 2007).The instruments can be operated continuously provide temporally highly resolved up 1, which makes them a valuable tool improving numerical weather forecasts climate models by studying cycle, including cloud dynamics (Westwater et al., 2004).