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Sub-mesoscale observations of convective cold pools with a dense station network in Hamburg, Germany

Authors :
B. Kirsch
C. Hohenegger
D. Klocke
R. Senke
M. Offermann
F. Ament
Source :
Earth System Science Data, Vol 14, Pp 3531-3548 (2022)
Publication Year :
2022
Publisher :
Copernicus Publications, 2022.

Abstract

From June to August 2020, an observational network of 103 meteorological ground-based stations covered the greater area (50 km × 35 km) of Hamburg (Germany) as part of the Field Experiment on Sub-mesoscale Spatio-Temporal variability at Hanseatic city of Hamburg (FESST@HH). The purpose of the experiment was to shed light on the sub-mesoscale (𝒪(100) m–𝒪(10) km) structure of convective cold pools that typically remain under-resolved in operational networks. During the experiment, 82 custom-built, low-cost APOLLO (Autonomous cold POoL LOgger) stations sampled air temperature and pressure with fast-response sensors at 1 s resolution to adequately capture the strong and rapid perturbations associated with propagating cold pool fronts. A secondary network of 21 weather stations with commercial sensors provided additional information on relative humidity, wind speed, and precipitation at 10 s resolution. The realization of the experiment during the COVID-19 pandemic was facilitated by a large number of volunteers who provided measurement sites on their premises and supported station maintenance. This article introduces the novel type of autonomously operating instruments, their measurement characteristics, and the FESST@HH data set (https://doi.org/10.25592/UHHFDM.10172; Kirsch et al., 2021b). A case study demonstrates that the network is capable of mapping the horizontal structure of the temperature signal inside a cold pool, and quantifying a cold pool's size and propagation velocity throughout its life cycle. Beyond its primary purpose, the data set offers new insights into the spatial and temporal characteristics of the nocturnal urban heat island and variations of turbulent temperature fluctuations associated with different urban and natural environments.

Details

Language :
English
ISSN :
18663508 and 18663516
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Earth System Science Data
Publication Type :
Academic Journal
Accession number :
edsdoj.10c8ae21c594a04b212fe264a2bec4b
Document Type :
article
Full Text :
https://doi.org/10.5194/essd-14-3531-2022