AnaEE

Permanent URI for this collection

https://loar.kb.dk/handle/1902/4286

The keyword in AnaEE and AnaEE Denmark is “experiments”. Through a range of experimental approaches the aim is to increase our understanding of how different ecosystems respond to future conditions of elevated CO2, higher temperatures, more extreme climate events and changes in global cycling of core elements like nitrogen and phosphorus. And to help develop new and innovative management strategies to maintain or improve the ecosystem services that are fundamental to our society, i.e. food and fiber production, clean water, biodiversity preservation, climate mitigation through managing ecosystem greenhouse gas balance etc. for more information: https://anaee.dk/.

The presented data in this repository is the data collected at research station Foulum, Aarhus University.

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    Meteorological site-level data from agricultural fields at Foulum (Denmark) from 25 May 2018 to 31 December 2019
    (2019-12-31) Pullens, J.W.M.; Kørup, K.; Plauborg, F.
    This dataset provides site-level, meteorological data from the agricultural research facilities at Foulum (Aarhus University) – part of the Danish Research Infrastructure AnaEE Denmark. The site is situated at Foulum, Central Jylland in Denmark in an agricultural field. The dataset covers Air Temperature (TA), Relative Humidity (RH), Wind Direction (WD), Wind Speed (WS), Precipitation (P), Soil heat flux (G), Air pressure (PA), Net shortwave radiation (NETRAD), Global Radiation (SW_IN), Soil Temperature under grass (TS_1_1), Soil temperature at 10 and 30 cm depth (TS_2_1 and TS_2_2, respectively) for the period 20180525 to 20191231. The time resolution is hourly and contains a data flag for each variable to indicate the quality of the data. The dataset is supplemented by a metadata file with similar filename. This file gives information about units, sensors, logging intervals and data quality assurance procedures for the dataset. This dataset is an update of the data set previously published (DOI: http://dx.doi.org/10.21994/loar4105). This dataset entails the full calendar year of 2019 and due to an issue with our software, the old dataset did not contain the correct precipitation data. The data is now is corrected and it resulted in 133 mm higher precipitation in the period 4 March to 31 December 2019. Format: ASCII (csv), comma separated. Data variable names and data files were created following a structure similar to the ICOS project (https://www.icos-ri.eu/), with some additions when needed. The ICOS meta-data standards are described at https://meta.icos-cp.eu/resources/cpmeta/atcMeteoTimeSer. Table-driven variable codes (GRIB codes) are provided for each data variable according to WMO guidelines of variable codes (https://public.wmo.int/en). For more information on variable codes of WMO, see https://www.wmo.int/pages/prog/www/WMOCodes/WMO306_vI2/LatestVERSION/LatestVERSION.html
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    Meteorological site-level data from agricultural fields at Foulum (Denmark) from 25 May 2018 to 25 September 2019
    Pullens, J.W.M.; Kørup, K.; Plauborg, F.
    This dataset provides site-level, meteorological data from the agricultural research facilities at Foulum (Aarhus University) – part of the Danish Research Infrastructure AnaEE Denmark. The site is situated at Foulum, Central Jylland in Denmark in an agricultural field. The data set covers Air Temperature (TA), Relative Humidity (RH), Wind Direction (WD), Wind Speed (WS), Precipitation (P), Soil heat flux (G), Air pressure (PA), Net shortwave radiation (NETRAD), Global Radiation (SW_IN), Soil Temperature under grass (TS_1_1), Soil temperature at 10 and 30 cm depth (TS_2_1 and TS_2_2, respectively) for the period 20180525 to 20190925. The time resolution is hourly and contains a data flag for each variable to indicate the quality of the data. The dataset is supplemented by a metadata file with similar filename. This file gives information about units, sensors, logging intervals and data quality assurance procedures for the dataset. Format: ASCII (csv), comma separated. Data variable names and data files were created following a structure similar to the ICOS project (https://www.icos-ri.eu/), with some additions when needed. The ICOS meta-data standards are described at https://meta.icos-cp.eu/resources/cpmeta/atcMeteoTimeSer. Table-driven variable codes (GRIB codes) are provided for each data variable according to WMO guidelines of variable codes (https://public.wmo.int/en). For more information on variable codes of WMO, see https://www.wmo.int/pages/prog/www/WMOCodes/WMO306_vI2/LatestVERSION/LatestVERSION.html Acknowledgements: Margit Styrbæk Jørgensen and numerous technicians.