2 documents found in 74ms
# 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
Deng, Zhiguo • Fritsche, Mathias • Nischan, Thomas • Bradke, Markus
Abstract: The German Research Center for Geosciences (GFZ) is providing ultra rapid multi-GNSS orbit-, clock- and EOP-product series (EOP = Earth Orientation Parameters). The Orbit/Clock product covers the following Global Navaigation Satellite Systems (GNSS)- GAL (Galileo) / Europe- GPS (GPS) / USA- GLO (Glonass) / Russian Federation- BDS (Beidou) / PR China- QZS (QZSS) / Japan All products are estimated using the latest version of GFZ's automated EPOS-8 GNSS processing environment and using global hourly RINEX observation data of the International GNSS Service (IGS). The orbit/clock product is provided:- in the SP3-c data format,- every 3 hours with a nominal latency of 2 hours after the last observation,- with a 48 hour sliding window orbit duration (1) the first 24 hours are estimated based on real GNSS RINEX observation data, (2) the second 24 hours consist of an orbit/clock prediction,- the orbit positions epoch interval is of 15 minutes. The EOP product is provided:- in the IGS ERP data format,- every 3 hours with a nominal latency of 2 hours after last observation,- with one estimated 24 hour EOP record based on real GNSS RINEX observation data,- with one predicted 24 hour EOP record. For recent (latest) products used for routine applications a registration via mgnss@gfz-potsdam.de is needed to get special access. Products with an age older than 2 days are available without restrictions. For the used data formats see Kouba and Mierault (2010, https://igscb.jpl.nasa.gov/igscb/data/format/erp.txt) for the description of the EOP Product Series and Hilla (2010, https://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt) for the description of the Orbit-/ Clock format SP3-c). The time series are provided in weekly folders, beginning with 27 May 2015 (GPS Week 1846).
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