The New Radiosounding HARMonization (RHARM) Data Set of Homogenized Radiosounding Temperature, Humidity, and Wind Profiles With Uncertainties

Observational records are more often than not influenced by residual non-climatic factors which must be detected and adjusted for prior to their usage. In this work, we present a novel approach, named Radiosounding HARMonization (RHARM), providing homogenized data set of temperature, humidity wind profiles along with an estimation the measurement uncertainties 697 radiosounding stations globally. The RHARM method has been used adjust twice daily (0000 1200 UTC) radiosonde holdings at 16 pressure levels in range 1,000–10 hPa, from 1978 present, provided Integrated Global Radiosonde Archive. Relative (RH) limited 250 hPa. applied adjustments interpolated all reported levels. is first provide time series observational uncertainty each sounding level. By construction, fields affected cross-contamination biases across fully independent reanalysis data. Analysis trends RH winds highlights increased geographical coherency over 1978–2000 globally, but especially Northern Hemisphere South America. shows warming 0.39 K/decade 300 hPa 0.25 tropics. also reduce differences European Centre Medium-Range Weather Forecast ERA5 reanalysis, strongest effect temperature relative humidity. For speed, comparison indicates good agreement troposphere.