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Watch forcing data

In June , the following request was granted to: Steve Hancock (Durham University). Durham University is part of the NERC National Centre for Earth Observation and aims to investigate the behaviour of snow in the JULES model and test changes. Data to be used. We would like to use WATCH to run JULES. We will. View more; WATCH-Forcing-Data-ERA-Interim: WFDEI was produced post- WATCH using WFD methodology applied to ERA-Interim data. It is a meteorological forcing dataset extending into early 21st C ( – ). Eight meteorological variables at 3-hourly time steps, and as daily averages. See Read me (pdf) for. Data generated in 2 tranches with slightly different methodology: and 5 variables are it 6 hourly resolution and 5 variables are at 3 hourly resolution. WATCH Forcing Data.

19 Jan The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project "WATCH" (WATer and global CHange") which. 19 Aug The WFDEI meteorological forcing data set has been generated using the same methodology as the widely used WATCH Forcing Data (WFD) by making use of the ERA‐Interim reanalysis data. We discuss the specifics of how changes in the reanalysis and processing have led to improvement over the. 17 Sep DATA AND. ANALYSIS NOTE. /WR The WFDEI meteorological forcing data set: WATCH Forcing. Data methodology applied to ERA-Interim reanalysis data. Graham P. Weedon1, Gianpaolo Balsamo2, Nicolas Bellouin3, Sandra Gomes4, Martin J. Best5, and Pedro Viterbo4.

26 Feb The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project "WATCH" (WATer and global CHange") which. Such models require meteorological forcing data, and this paper describes the creation of the WATCH Forcing Data for – based on the yr ECMWF Re-Analysis (ERA) and for –57 based on reordered reanalysis data. It also discusses and analyses model-independent estimates of reference crop.

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