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In 2014/2015 a one-year field campaign at the Tiksi observatory in the Laptev Sea area was carried out using Sound Detection and Ranging/Radio Acoustic Sounding System (SODAR/RASS) measurements to investigate the atmospheric boundary layer (ABL) with a focus on low-level jets (LLJ) during the winter season. In addition to SODAR/RASS-derived vertical profiles of temperature, wind speed and direction, a suite of complementary measurements at the Tiksi observatory was available. Data of a regional atmospheric model were used to put the local data into the synoptic context. Two case studies of LLJ events are presented. The statistics of LLJs for six months show that in about 23% of all profiles LLJs were present with a mean jet speed and height of about 7 m/s and 240 m, respectively. In 3.4% of all profiles LLJs exceeding 10 m/s occurred. The main driving mechanism for LLJs seems to be the baroclinicity, since no inertial oscillations were found. LLJs with heights below 200 m are likely influenced by local topography.
Measurements of the atmospheric boundary layer (ABL) structure were performed for three years (October 2017–August 2020) at the Russian observatory “Ice Base Cape Baranova” (79.280° N, 101.620° E) using SODAR (Sound Detection And Ranging). These measurements were part of the YOPP (Year of Polar Prediction) project “Boundary layer measurements in the high Arctic” (CATS_BL) within the scope of a joint German–Russian project. In addition to SODAR-derived vertical profiles of wind speed and direction, a suite of complementary measurements at the observatory was available. ABL measurements were used for verification of the regional climate model COSMO-CLM (CCLM) with a 5 km resolution for 2017–2020. The CCLM was run with nesting in ERA5 data in a forecast mode for the measurement period. SODAR measurements were mostly limited to wind speeds <12 m/s since the signal was often lost for higher winds. The SODAR data showed a topographical channeling effect for the wind field in the lowest 100 m and some low-level jets (LLJs). The verification of the CCLM with near-surface data of the observatory showed good agreement for the wind and a negative bias for the 2 m temperature. The comparison with SODAR data showed a positive bias for the wind speed of about 1 m/s below 100 m, which increased to 1.5 m/s for higher levels. In contrast to the SODAR data, the CCLM data showed the frequent presence of LLJs associated with the topographic channeling in Shokalsky Strait. Although SODAR wind profiles are limited in range and have a lot of gaps, they represent a valuable data set for model verification. However, a full picture of the ABL structure and the climatology of channeling events could be obtained only with the model data. The climatological evaluation showed that the wind field at Cape Baranova was not only influenced by direct topographic channeling under conditions of southerly winds through the Shokalsky Strait but also by channeling through a mountain gap for westerly winds. LLJs were detected in 37% of all profiles and most LLJs were associated with channeling, particularly LLJs with a jet speed ≥ 15 m/s (which were 29% of all LLJs). The analysis of the simulated 10 m wind field showed that the 99%-tile of the wind speed reached 18 m/s and clearly showed a dipole structure of channeled wind at both exits of Shokalsky Strait. The climatology of channeling events showed that this dipole structure was caused by the frequent occurrence of channeling at both exits. Channeling events lasting at least 12 h occurred on about 62 days per year at both exits of Shokalsky Strait.
Immer wieder tauchen Fragen nach dem Stüve-Diagramm und seiner Benutzung auf. Es gibt zwar neben der Vorlesung “Einführung in die Meteorologie” auch erklärende Darstellungen in den empfohlenen Lehrbüchern und im Internet. Diese scheinen aber offenbar nicht zufriedenstellend zu sein. Deshalb habe ich nachfolgend versucht, die Antworten auf die häufigsten Fragen in Form einer Anleitung zusammen zu fassen. Ich danke em. Prof. Dr. Alfred Helbig, der im Rahmen seiner früheren Tätigkeit im operationellen Dienst umfangreiche praktische Erfahrung mit Radiosonden-Aufstiegen erworben hat, sowie Dr. Micha Gryschka (Institut für Meteorologie und Klimatologie, Leibniz Universität Hannover) für die hilfreichen Kommentare zum Manuskript.
Present-day air quality is known through dense monitoring and extensive pollu-
tion control mechanisms. In contrast, knowledge of historical pollution,
particularly before the industrial revolution, is accessible only through occasional
reports of singular local events and through natural archives such as ice or
sediment cores that record global-scale pollution. However, the regular local to
regional pollution that most affects human life is hardly known. Historical
sciences have argued both for and against significant air pollution in and around
historic cities and manufacturing sites. For the Roman era, it has been
hypothesized that air quality played a role in several patterns of action of the period.
However, to the author's knowledge, there are no quantitative studies of
Roman emissions. Using the results of modern experimental archaeology, this
study attempts to quantify the emissions from Roman pottery kilns and their
impact on surrounding human settlements. It is shown that although the
pollution did not reach today's limits, it must have approached levels known to cause
adverse health effects. A series of additional test simulations have been
conducted to determine how these first results might be improved in the future.