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Avdat LTER site - Meteorology Data (2008-2010)
No full textLTER site in the Negev Highland of Israel. Annual rainfall of 80-100 mm, high degree of geo-diversity, Vegetation spot pattern about 600 species of plants.
Ten years of meteorology data (2008-2018
LTER Zöbelboden, Austria, Litterfall chemistry, 2014
No full textLitterfall chemistry data of the LTER station Zöbelboden from the year 201
TOAR data collection of "Multi-decadal surface ozone trends at globally distributed remote locations"
No full textExtracting globally representative trend information from lower tropospheric ozone observations is extremely difficult due to the highly variable distribution and interannual variability of ozone, and the ongoing shift of ozone precursor emissions from high latitudes to low latitudes. Here we report surface ozone trends at 27 globally distributed remote locations (20 in the Northern Hemisphere, 7 in the Southern Hemisphere), focusing on continuous time series that extend from the present back to at least 1995. While these sites are only representative of less than 25% of the global surface area, this analysis provides a range of regional long-term ozone trends for the evaluation of global chemistry-climate models. Trends are based on monthly mean ozone anomalies, and all sites have at least 20 years of data, which improves the likelihood that a robust trend value is due to changes in ozone precursor emissions and/or forced climate change rather than naturally occurring climate variability. Since 1995, the Northern Hemisphere sites are nearly evenly split between positive and negative ozone trends, while 5 of 7 Southern Hemisphere sites have positive trends. Positive trends are in the range of 0.5-2 ppbv decade-1, with ozone increasing at Mauna Loa by roughly 50% since the late 1950s. Two high elevation Alpine sites, discussed by previous assessments, exhibit decreasing ozone trends in contrast to the positive trend observed by IAGOS commercial aircraft in the European lower free-troposphere. The Alpine sites frequently sample polluted European boundary layer air, especially in summer, and can only be representative of lower free tropospheric ozone if the data are carefully filtered to avoid boundary layer air. The highly variable positive and negative ozone trends at these 27 surface sites are not necessarily indicative of free tropospheric trends, which have been overwhelmingly positive since the mid-1990s, as shown by recent studies.The data are formatted as csv files with variable header information. Each header line begins with # and contains key: value metadata elements. These data files were extracted from the TOAR database. A detailed description of the file format and the metadata elements can be found at: https://toar-data-portal.fz-juelich.de/docs/surfacedata/TOAR_file_format_v2.pdf (not yet implemented). Software tools for working with these data are available at https://jugit.fz-juelich.de/m.schultz/toar-public-utilities
LTER Zöbelboden, Austria, Throughfall chemistry, 2016
No full textThroughfall chemistry of different forest plots of LTER Zöbelboden (https://deims.org/8eda49e9-1f4e-4f3e-b58e-e0bb25dc32a6) from the year 2016Throughfall was collected at plots with condensed field measurement equipment (so called intensive monitoring plots IP1, IP2 and IP3) at the LTER Zöbelboden site (LTER_EU_AT_003), Austria. IP1 and IP3 are situated on a plateau (850–956 m a.s.l.) and IP2 on a steep north facing slope (30–60°) extending from 850 m down to 550 m a.s.l. The potential natural vegetation of the plateau (beech-fir mixed forest) has largely been replaced by Norway spruce, Picea abies (L.) Karst., after the mixed forest was clear-cut at the beginning of the 20th century. The forest on the slope is a near-natural mixed beech (Fagus sylvatica L.) forest with ash (Fraxinus excelsior L.), maple (Acer pseudoplatanus L.) and spruce as the most frequent additional tree species.
Throughfall (abbreviation in column SUBPROG = TF) was collected at each intensive monitoring plot (abbreviation in column SCODE = 300 = IP1, 700= IP2 and 2900 = IP3) with 15 regularly distributed bulk deposition samplers (∅=20 cm). From 2006 onwards, 17 samplers were used at IP1 (SCODE = 340). Additional five bulk deposition samplers collected TF in a small bark beetle gap at IP1 (SCODE = 260, 281) from 2006-2008. Overall TF measurements at IP1 ceased due to small-scale wind throw events and bark beetle infestations affecting the monitoring plot in September 2009. Therefore, TF measurements started at IP3 in August 2008. Over the whole period, monthly throughfall sums (SUBST = PREC) were determined at each monitoring plot. For chemical analyses, TF samples were pooled for each individual monitoring plot, except for bark beetle gap samples at IP1, which comprised individual samples. From 1993-1998, weekly samples were analysed in the laboratory. Thereafter, TF samples from two consecutive weeks were mixed (volume-weighted) and analysed. From March 2009 onwards, weekly TF samples from four consecutive weeks were pooled and analysed
TOAR data collection at station Shangdianzi (SDZ54421), China
No full textCollection of air quality (and meteorological) measurement data at station Shangdianzi (SDZ54421), China.
These data were provided by Prof.Dr. Xiaobin Xu of Key Laboratory for Atmospheric Chemistry (KLAC), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA) in the context of the Tropospheric Ozone Assessment Report (TOAR).
For further information about TOAR see http://www.igacproject.org/activities/TOAR.
An uptodate record of this data collection can be found in the TOAR database at https://toar-data.fz-juelich.de/api/getStationMeta/?id=SDZ54421 (not yet implemented)The data contained in this collection are formatted as csv files with variable header information. Each header line begins with # and contains key: value metadata elements.
The data files in this collection were generated by TOAR database queries. For details, see technical information provided with each single station series.TOAR timeseries of ground-level ozone at station Shangdianzi (SDZ54421), China, http://doi.org/10.34730/d5ae0c08311e4b51965fcb7a7a92285
TeaComposition experiment results in Mukhrino field station
No full textShort-term standard litter decomposition across three different ecosystems in middle taiga zone of West Siberia. The method of standard litter (tea) decomposition was implemented to compare decomposition rate constants (k) between different peatland ecosystems and coniferous forests in the middle taiga zone of West Siberia (near Khanty-Mansiysk). The standard protocol of TeaComposition initiative was used to make the data usable for comparisons among different sites and zonobiomes worldwide. This article sums up the results of short-term decomposition (3 months) on the local scale. The values of decomposition rate constants differed significantly between three ecosystem types: it was higher in forest compared to bogs, and treed bogs had lower decomposition constant compared to Sphagnum lawns. We speculate that dry weather conditions could make large influence on decomposition dynamics in short-term scale and the experiment should be repeated in ongoing years thereby. In general, the decomposition rate constants were close to reported earlier for similar climatic conditions and habitats
LTER Zöbelboden, Austria, Litterfall chemistry, 2016
No full textLitterfall chemistry data of the LTER station Zöbelboden from the year 201
LTER Zöbelboden, Austria, Soil water chemistry 2015
No full textSoil water chemistry of two forest stands in the site LTER Zöbelboden from the year 2015
LTER Zöbelboden, Austria, Precipitation chemistry, 2016
No full textPrecipitation Chemistry of a Karst Watershed (Zöbelboden) from the year 201
Park Shaked Long-Term Socio-ecological Research Platform: LTER_EU_IL_001:Basic climate at Park Shaked LTSER Platform (1999-2018)
No full textMeteorology data for Park Shaked - Israel Park Shaked LTER station (31.267 N, 34.653 E) Average Air Temp Maximum Air Temp Minimum Air Temp Maximun Relative Humidity Minimum Relative Humidity Maximum Temparture Deficit Minimum Temparture Deficit Average Vapor Pressure Deficit Average Vapor Pressure Maximum Barometric Pressure Minimum Barometric Pressure Maximum Solar Insolation Total Solar Radiation Average Wind Speed Maximum Wind Speed Ground Temp. 25cm depth Ground Temp. 50cm depth Ground Moisture 25cm depth Ground Moisture 50cm depth Total Rain Min DataLogger Battery Level Min Cellphone Battery Leve