Abstract
Abstract. When comparing model output with historical radiosonde observations, it is usually assumed that a radiosonde has risen exactly above its starting point and has not been displaced by wind. This changed only relatively recently with the availability of Global Navigation Satellite System (GNSS) receivers aboard radiosondes in the late 1990s, but even then the balloon trajectory data were often not transmitted, although this information was the basis for estimating the wind in the first place. Depending on the conditions and time of year, radiosondes can sometimes drift a few hundred kilometres, particularly at the middle latitudes during the winter months. The position errors can lead to non-negligible representation errors when the corresponding observations are assimilated. This paper presents a methodology to compute changes in the balloon position during its vertical ascent, using only limited information, such as the vertical profile of wind contained in the historical observation reports. The sensitivity of the method to various parameters is investigated, such as the vertical resolution of the input data, the assumption about the vertical ascent speed of the balloon, and the departure of the surface of Earth from a sphere. The paper considers modern GNSS sonde data reports for validation, for which the full trajectory of the balloon is available, alongside the reported wind. Evaluation is also conducted by comparison with ERA5 and by conducting low-resolution data assimilation experiments. Overall, the results indicate that the trajectory of the radiosondes can be accurately reconstructed from original data of varying vertical resolutions and that the more accurate balloon position reduces representation errors and, in some cases, systematic errors.
Funder
European Centre for Medium-Range Weather Forecasts
Reference38 articles.
1. Aberson, S. D., Sellwood, K. J., and Leighton, P. A.: Calculating Dropwindsonde Location and Time from TEMP-DROP Messages for Accurate Assimilation and Analysis, J. Atmos. Ocean. Techn., 34, 1673–1678, https://doi.org/10.1175/jtech-d-17-0023.1, 2017.
2. Alexander, P. and de La Torre, A.: Uncertainties in the measurement of the atmospheric velocity due to balloon-gondola pendulum-like motions, Adv. Space Res., 47, 736–739, https://doi.org/10.1016/j.asr.2010.09.020, 2011.
3. Choi, Y., Ha, J., and Lim, G.: Investigation of the Effects of Considering Balloon Drift Information on Radiosonde Data Assimilation Using the Four-Dimensional Variational Method, Weather Forecast., 30, 809–826, https://doi.org/10.1175/WAF-D-14-00161.1, 2015.
4. Copernicus Climate Change Service, Climate Data Store: In situ atmospheric harmonized temperature, relative humidity and wind from 1978 onward from baseline radiosonde networks, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.f101d0bf, 2021.
5. Crutcher, H. L.: Distribution of radiosonde errors, NOAA Tech. Rep. Environmental Data and Information Service (EDIS), 32, U.S. Department Of Commerce, National Oceanic and Atmospheric Administration, https://repository.library.noaa.gov/view/noaa/30830/noaa_30830_DS1.pdf (last access: 7 May 2024), 1979.