4 documents found in 163ms
# 1
Lange, Stefan
Abstract: The EWEMBI dataset was compiled to support the bias correction of climate input data for the impact assessments carried out in phase 2b of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b; Frieler et al., 2017), which will contribute to the 2018 IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways. The EWEMBI data cover the entire globe at 0.5° horizontal and daily temporal resolution from 1979 to 2013. Data sources of EWEMBI are ERA-Interim reanalysis data (ERAI; Dee et al., 2011), WATCH forcing data methodology applied to ERA-Interim reanalysis data (WFDEI; Weedon et al., 2014), eartH2Observe forcing data (E2OBS; Calton et al., 2016) and NASA/GEWEX Surface Radiation Budget data (SRB; Stackhouse Jr. et al., 2011). The SRB data were used to bias-correct E2OBS shortwave and longwave radiation (Lange, 2018). Variables included in the EWEMBI dataset are Near Surface Relative Humidity, Near Surface Specific Humidity, Precipitation, Snowfall Flux, Surface Air Pressure, Surface Downwelling Longwave Radiation, Surface Downwelling Shortwave Radiation, Near Surface Wind Speed, Near-Surface Air Temperature, Daily Maximum Near Surface Air Temperature, Daily Minimum Near Surface Air Temperature, Eastward Near-Surface Wind and Northward Near-Surface Wind. For data sources, units and short names of all variables see Frieler et al. (2017, Table 1).
# 2
Bogena, Heye
Abstract: TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level. The central monitoring site of the TERENO Eifel/Lower Rhine Valley Observatory is the catchment area of the River Rur. It covers a total area of 2354 km² and exhibits a distinct land use gradient: The lowland region in the northern part is characterised by urbanisation and intensive agriculture whereas the low mountain range in the southern part is sparsely populated and includes several drinking water reservoirs. Furthermore, the Eifel National Park is situated in the southern part of the Rur catchment serving as a reference site. Intensive test sites are placed along a transect across the Rur catchments in representative land cover, soil, and geologic settings. The Rollesbroich site is located in the low mountain range “Eifel” near the German-Belgium border and covers the area of the small Kieselbach catchment (40 ha) with altitudes ranging from 474 to 518 m.a.s.l.. The climate is temperate maritime with a mean annual air temperature and precipitation of 7.7 °C and 1033 mm, respectively, for the period from 1981 to 2001. The study site is highly instrumented. All components of the water balance (e.g. precipitation, evapotranspiration, runoff, soil water content) are continuously monitored using state-of-the-art instrumentation, including weighable lysimeters, runoff gauges, cosmic-ray soil moisture sensors, a wireless sensor network that monitors soil temperature, and soil moisture at 189 locations in different depths (5, 20 and 50 cm) throughout the study site. Periodically also different chamber measurements were made to access soil or plant gas exchange. Climate/Runoff/Water Quality station Rollesbroich:Runoff is measured at the catchment outlet using a gauging station equipped with a combination of a V-notch weir for low flow measurements and a Parshall flume to measure normal to high flows. Runoff data of the two weir types are combined by using V-notch values for water levels below 5 cm, Parshall flume values for water levels greater than 10 cm and the weighted mean of V-notch and Parshall flume values for water levels between 5 and 10 cm, where the water levels refer to those of the V-notch weir. Meteorological data, i.e. precipitation, air temperature, air humidity, radiation components, and wind speed, were recorded at 2 m height next to the runoff gauging station As a first quality check, time series of both gauge types were compared for consistency. In addition, both runoff time series were visually inspected for inexplicable outliers (e.g. runoff peak without preceding rainfall event) and sensor failures. Unreliable data were identified by visual inspection and appropriate flags were set. The observed parameters are listed in the keywords section. File format is NetCDF 4.0.
# 3
Schmidt, Marius
Abstract: TERENO Eifel-Rur Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level.The central monitoring site of the TERENO Eifel/Lower Rhine Valley Observatory is the catchment area of the River Rur. It covers a total area of 2354 km² and exhibits a distinct land use gradient: The lowland region in the northern part is characterised by urbanisation and intensive agriculture whereas the low mountain range in the southern part is sparsely populated and includes several drinking water reservoirs. Furthermore, the Eifel National Park is situated in the southern part of the Rur catchment serving as a reference site. Intensive test sites are placed along a transect across the Rur catchments in representative land cover, soil, and geologic settings.The Rollesbroich site is located in the low mountain range “Eifel” near the German-Belgium border and covers the area of the small Kieselbach catchment (40 ha) with altitudes ranging from 474 to 518 m.a.s.l.. The climate is temperate maritime with a mean annual air temperature and precipitation of 7.7 °C and 1033 mm, respectively, for the period from 1981 to 2001. Soils are dominated by (stagnic) Cambisols and Stagnosols on Devonian shales with occasional sandstone inclusions that are covered by a periglacial solifluction clay–silt layer. The mountainous grassland vegetation is dominated by perennial ryegrass (Lolium perenne) and smooth meadow grass (Poa pratensis).The study site is highly instrumented. All components of the water balance (e.g. precipitation, evapotranspiration, runoff, soil water content) are continuously monitored using state-of-the-art instrumentation, including weighable lysimeters, runoff gauges, cosmic-ray soil moisture sensors, a wireless sensor network that monitors soil temperature, and soil moisture at 189 locations in different depths (5, 20 and 50 cm) throughout the study site. Periodically also different chamber measurements were made to access soil or plant gas exchange.This data set contains weekly updated flux-, meteorological and soil measurements of the permanent operating EC/Climate station Rollesbroich 1 (50.621° N, 6.304° E, 515 m a.s.l.), which was installed in spring 2011 at the border of two fields of grassland (5.8 and 7.8 ha) within the study site. Management of both fields is typical for the low mountain range of the Eifel region with one fertilizer application and three cuts per year. The area within the fetch of the eddy covariance tower is relatively flat with slopes ranging between 0.35° and 3.12°. The station is equipped with a CSAT3 sonic anemometer and LI7500 gas analyser. Besides flux measurements and typical climate parameters (radiation, air temperature, air humidity, soil moisture, soil temperature etc.) also the plant height and farming activities are recorded.Meteorological and soil data was at least controlled by visual inspection by using common plausibility ranges and cross checks with nearby stations. Afterwards the data was flagged according to it's quality (O.K., suspect, moderate, bad etc.). Flux data was processed and checked according to the TERENO QC scheme (Mauder,et al., 2013, doi:10.1016/j.agrformet.2012.09.006).
# 4
Beyerle, Georg
Abstract: This data publication comprises (1) a one-year data set of ground-based GPS raw signal observations (inphase and quadphase C/A code correlation sums, NCO phases, pseudoranges) aiming at geometric elevation angles below +2°, (2) the "OpenGPS" receiver software and (3) MATLAB source code to access the raw data files. (1) ground-based GPS raw signal observations: Within the "GLESER" measurement campaign 2581 validated setting events were recorded by the "OpenGPS" open-loop tracking receiver at an observation site located at 52.3808°N, 13.0642°E (Potsdam, Germany) between January and December 2014. The instrument provided on average 8.3 observations per day with three data gaps (29 January to 1 February, 29–31 August and 18–22 December 2014) caused by hardware or software problems, operator errors or other technical reasons. Between 15 July and 6 September the "OpenGPS" receiver malfunctioned due to an operator error and 437 observations from that time period are removed from the data set leaving 2581 low-elevation events.Raw data files are stored in compressed tar archives each covering one week of observations. For more information see document "readme-gleser-dataset.pdf". (2) "OpenGPS" receiver software: The compressed tar archive "gleser-OpenGPS-src.tar.gz" includes (C code) sources of the OpenGPS receiver hardware. The receiver software is designed for "OpenSourceGPS"-compatible hardware (Kelley, 2002) and Linux operating system. During the 2014 campaign kernel version 2.6.32 (OpenSUSE version 11.3) with real-time extension module RTAI (RealTime Application Interface for Linux) version 3.8.1 was used. For more information see the document "readme-gleser-OpenGPS.pdf". (3) MATLAB source code: The compressed tar archive "gleser-readdata-src.tar.gz" contains a MATLAB function file that may be used to access the raw data files. For more information see the document "readme-gleser-readdata.pdf".
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