Other language confidence: 0.9941579413171567
The Regional Research Network „Water in Central Asia“ (CAWa) funded by the German Federal Foreign Office consists of 18 remotely operated multi-parameter stations (ROMPS) in Central Asia. These stations were installed by the German Research Centre for Geosciences (GFZ) in Potsdam, Germany in close cooperation with the Central-Asian Institute for Applied Geosciences (CAIAG) in Bishkek, Kyrgyzstan, the national hydrometeorological services in Uzbekistan and Tajikistan, the Ulugh Beg Astronomical Institute in Tashkent, Uzbekistan, and the Kabul Polytechnic University, Afghanistan. Up to now, ten years of data are provided for an area of scarce station distribution and with limited open access data which can be used for a wide range of scientific or engineering applications. The primary objective of these stations is to support the establishment of a reliable data basis of meteorological and hydrological data especially in remote areas with extreme climate conditions in Central Asia for applications in climate and water monitoring. This dataset provides different types of raw hydrometeorological data such as air temperature, relative humidity, air pressure, wind speed and direction, precipitation, solar radiation, soil moisture and soil temperature as well as snow parameters and river discharge information for selected sites. The data has not undergone any quality control mechanism and should, therefore, be seen as raw data. A visual inspection of the data set has been made and some errors and quality degradation are listed in Zech et al. (2020) but does not claim to be complete. A quality control is strongly recommended by the authors before using the data. Each station data has its own storage directory at the data dissemination server named with the abbreviation (4-letter code) of the station. The data is sampled with a 5-minute interval and stored in hourly files separated by the type of data. These files are then archived as monthly files named with the station abbreviation, type of data, year and month. After one year, these monthly files are further archived to a yearly file. A detailed description for the stations is provided by the Station Exposure Descriptions. Further information about the dataset can be found in Zech et al. (2020). All data is compiled as ASCII data in two different formats which are explained in the documents GITW-SSP-FMT-GFZ-003.pdf (for the stations ALAI, ALA6, and SARY) and CAWA-SSP-FMT-GFZ-006.pdf (for all other stations). The data are accessible via ftp and organised as subfolders for each station. The top folder additionally provides: (1) a station overview with metadata for each station (name, partners, starting date, coordinates, sensors; 2020-002_Zech_ROMPS-station_overview.pdf) (2) the manuals of the sensors (2020-002_Zech_ROMPS_Manuals.zip), and (3) the datasheets with technical specification of the sensors (2020-002_Zech_ROMPS_Datasheets.zip). Monthly, the data will be dynamically extended as long as data can be acquired from the stations. Additionally, the near real-time data can be displayed and downloaded without any registration from the Sensor Data Storage System (SDSS) hosted at the Central-Asian Institute for Applied Geosciences (CAIAG) in Bishkek, Kyrgyzstan.
This dataset provides half-hourly surface energy balance measurements for a temperate grassland site in Luxembourg. The data were obtained during a field campaign in June and July 2015. The observations comprise multiple variables measurements by an Eddy-Covariance station, a net radiometer, soil moisture, temperature and soil heat flux probes and meteorological standard measurements. For details please see the reference article Renner et al. (2019, HESS) with the general setup described in Wizemann et al., 2015. The data are complemented by half-hourly model output of sensible and latent heat fluxes that are published as individual data publication (Renner et al., 2018). The data is provided as comma-separated-values (csv) format in a long table format. Columns represent Date, Time, variable, value, source. The column “variable” sets the name of the variable (following CEOP standards) with an information of the measurement depth for soil measurements. Column “source” describes the data source with an acronym(Observations “ObsEC”). The data contributes to the Joint Research Group "Catchments As Organized Systems" (CAOS) funded by the German Research Foundation. Methods: Eddy Covariance, Surface energy balance observations
The Kran Droennewitz climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Kran Droennewitz was installed in 2014. It is located on top of a tower crane at 40m height, on the border of a deciduous forest to natural wetlands. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, AdconBP1_BarometricPressure, KuZCMP3_PyranometerIncoming, KuZCMP3_PyranometerOutgoing, KuZCGR3_PyrgeometerOutgoing, AdconWET_LeafWetness and KuZCGR3_PyrgeometerIncoming. The current version of this dataset is 1.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/ containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
The Voelschow climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Voelschow was installed in 2013. It is located at the edge of a field, next to the highway. A bridge on the northern site is a major obstacle. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, AdconBP1_BarometricPressure, KuZCMP3_PyranometerIncoming, KuZCMP3_PyranometerOutgoing, KuZCGR3_PyrgeometerOutgoing, UMSTH3_Soiltemperature005cm, UMSTH3_Soiltemperature010cm, UMSTH3_Soiltemperature020cm, UMSTH3_Soiltemperature030cm, UMSTH3_Soiltemperature050cm, UMSTH3_Soiltemperature100cm, AdconWET_LeafWetness, KuZCGR3_PyrgeometerIncoming, AdconSM1_Soiltemperature015cm, AdconSM1_Soiltemperature045cm, AdconSM1_Soilmoisture010cm, AdconSM1_Soilmoisture020cm, AdconSM1_Soilmoisture030cm, AdconSM1_Soilmoisture040cm, AdconSM1_Soilmoisture050cm and AdconSM1_Soilmoisture060cm. The current version of this dataset is 2.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/10.5880/TERENO.305 containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
The Seedorf climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Seedorf was installed in 2004. It is located on flat terrain, surrounded by agricultural used fields. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, KuZCM3_PyranometerIncoming, KuZCM3_PyranometerOutgoing, KuZCG3_PyrgeometerIncoming, KuZCG3_PyrgeometerOutgoing, AdconST2_Soiltemperature000cm, AdconST2_Soiltemperature005cm, AdconST2_Soiltemperature010cm, AdconST2_Soiltemperature020cm, AdconST2_Soiltemperature050cm, AquaCheck_Soilmoisture010cm, AquaCheck_Soilmoisture020cm, AquaCheck_Soilmoisture040cm, AquaCheck_Soilmoisture060cm, AquaCheck_Soilmoisture080cm, AquaCheck_Soilmoisture100cm and AdconWET_LeafWetness. The current version of this dataset is 1.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/ containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
The Zarnekla climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Zarnekla was installed in 2013. It is located next to a trench, which seperates a field and grassland. Some trees are growing along the trench, in about 80m distance to the station. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, AdconBP1_BarometricPressure, KuZCMP3_PyranometerIncoming, KuZCMP3_PyranometerOutgoing, KuZCGR3_PyrgeometerOutgoing, UMSTH3_Soiltemperature005cm, UMSTH3_Soiltemperature010cm, UMSTH3_Soiltemperature020cm, UMSTH3_Soiltemperature030cm, UMSTH3_Soiltemperature050cm, UMSTH3_Soiltemperature100cm, AdconSM1_Soiltemperature015cm, AdconSM1_Soiltemperature045cm, AdconSM1_Soilmoisture010cm, AdconSM1_Soilmoisture020cm, AdconSM1_Soilmoisture030cm, AdconSM1_Soilmoisture040cm, AdconSM1_Soilmoisture050cm, AdconSM1_Soilmoisture060cm, AdconWET_LeafWetness and KuZCGR3_PyrgeometerIncoming. The current version of this dataset is 2.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/10.5880/TERENO.279 containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
The Warrenzin climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Warrenzin was installed in 2004. It is located on flat terrain, near to an high-voltage tower within an agricultural used field. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, KuZCM3_PyranometerIncoming, KuZCM3_PyranometerOutgoing, KuZCG3_PyrgeometerIncoming, KuZCG3_PyrgeometerOutgoing, AdconST2_Soiltemperature000cm, AdconST2_Soiltemperature005cm, AdconST2_Soiltemperature010cm, AdconST2_Soiltemperature020cm, AdconST2_Soiltemperature050cm, AquaCheck_Soilmoisture010cm, AquaCheck_Soilmoisture020cm, AquaCheck_Soilmoisture040cm, AquaCheck_Soilmoisture060cm, AquaCheck_Soilmoisture080cm, AquaCheck_Soilmoisture100cm and AdconWET_LeafWetness. The current version of this dataset is 1.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/ containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
The Alt Plestlin climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Alt Plestlin was installed in 2013. It is located within a large field, next to a water area, which is about 1m below the station and within a shallow depression. Smaller bushes are within the closer surrounding of the station. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, AdconBP1_BarometricPressure, KuZCMP3_PyranometerIncoming, KuZCMP3_PyranometerOutgoing, KuZCGR3_PyrgeometerOutgoing, UMSTH3_Soiltemperature005cm, UMSTH3_Soiltemperature010cm, UMSTH3_Soiltemperature020cm, UMSTH3_Soiltemperature030cm, UMSTH3_Soiltemperature050cm, UMSTH3_Soiltemperature100cm, AdconSM1_Soiltemperature015cm, AdconSM1_Soiltemperature045cm, AdconSM1_Soilmoisture010cm, AdconSM1_Soilmoisture020cm, AdconSM1_Soilmoisture030cm, AdconSM1_Soilmoisture040cm, AdconSM1_Soilmoisture050cm, AdconSM1_Soilmoisture060cm, AdconWET_LeafWetness and KuZCGR3_PyrgeometerIncoming. The current version of this dataset is 2.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/10.5880/TERENO.283 containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
The Leppin climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Leppin was installed in 2013. It is located within a field, close to a collection of huge stones (~1.5m height) and small shrubs. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, AdconBP1_BarometricPressure, KuZCMP3_PyranometerIncoming, KuZCMP3_PyranometerOutgoing, KuZCGR3_PyrgeometerOutgoing, UMSTH3_Soiltemperature005cm, UMSTH3_Soiltemperature010cm, UMSTH3_Soiltemperature020cm, UMSTH3_Soiltemperature030cm, UMSTH3_Soiltemperature050cm, UMSTH3_Soiltemperature100cm, AdconSM1_Soiltemperature015cm, AdconSM1_Soiltemperature045cm, AdconSM1_Soilmoisture010cm, AdconSM1_Soilmoisture020cm, AdconSM1_Soilmoisture030cm, AdconSM1_Soilmoisture040cm, AdconSM1_Soilmoisture050cm, AdconSM1_Soilmoisture060cm, AdconWET_LeafWetness and KuZCGR3_PyrgeometerIncoming. The current version of this dataset is 2.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/10.5880/TERENO.268 containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
The Ueckeritz climate station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory. The agrometeorological station Ueckeritz was installed in 2013. It is located on the eastern border of a natural sink, with some bushes on the western slope of the sink. The station is equipped with sensor for measuring the following variables: AdconTR1_Temperature, AdconTR1_RelativeHumidity, AdconRainGauge_Precipitation, AdconWindspeed_Windspeed, AdconWinddirection_Winddirection, AdconBP1_BarometricPressure, KuZCMP3_PyranometerIncoming, KuZCMP3_PyranometerOutgoing, KuZCGR3_PyrgeometerOutgoing, UMSTH3_Soiltemperature005cm, UMSTH3_Soiltemperature010cm, UMSTH3_Soiltemperature020cm, UMSTH3_Soiltemperature030cm, UMSTH3_Soiltemperature050cm, UMSTH3_Soiltemperature100cm, AdconSM1_Soiltemperature015cm, AdconSM1_Soiltemperature045cm, AdconSM1_Soilmoisture010cm, AdconSM1_Soilmoisture020cm, AdconSM1_Soilmoisture030cm, AdconSM1_Soilmoisture040cm, AdconSM1_Soilmoisture050cm, AdconSM1_Soilmoisture060cm, AdconWET_LeafWetness and KuZCGR3_PyrgeometerIncoming. The current version of this dataset is 2.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/10.5880/TERENO.277 containing the measured data only. The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process. During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020. Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
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