daily river discharge observations for 1287 catchments globally by Hirpa et Most areas with a bias ratio >2 simulation, Int. https://confluence.ecmwf.int/display/COPSRV/Global+Flood+Awareness+System, last access: 28 August 2020). Land Surface Conditions from 1948 to 2004. through the river channel to produce river discharge. C., and Salamon, P.: A global streamflow reanalysis for 1980–2018, J. of a flood signal and (ii) more consistent hydrometeorological initial hydrological conditions in rivers around the world. Qian, T., Dai, A., Trenberth, K. E., and Oleson, K. W.: Simulation of Global 2014. , Döll, P., Kaspar, F., and Lehner, B.: A global hydrological model for UNDRR: Sendai Framework for Disaster Risk Reduction 2015–2030, United Sci., 24, 189–212. grid cell before draining from the bottom of the soil column as sub-surface For parameters labelled as forecasts in MARS, steps between 1 and 24 hours have been used to provide data for all the validity times within 24 hours, see Table 0 below. Tables 1 and 2 indicate the format for all parameters in ERA5-Land. HTESSEL computes the Pappenberger et al. (2010) first demonstrated that it was possible to Alfieri et al., 2013). (m3 s−1) at the catchment scale. To produce basin under an ensemble of climate change scenarios, J. hence bias ratios). metadata information contained within the example NetCDF file. median KGESS =0.21 (n=39), 0.4 (n=41), and 0.42 (n=53), Pappenberger, F., Cloke, H. L., Balsamo, G., Ngo-Duc, T., and Oki, T.: Global Sci., 24, 189–212, (2) cite the ERA5-Land dataset (as part of the bibliography) as follows: Muñoz Sabater, J., (2019): ERA5-Land hourly data from 1981 to present. above a threshold, severe inhomogeneities, or series monitoring an Res., 47, W04501, https://doi.org/10.1029/2010WR009726, 2011. , Zajac, Z., Revilla-Romero, B., Salamon, P., Burek, P., Hirpa, F. A., and ECMWF Scheme for Surface Exchanges over Land (HTESSEL) land surface model used within ECMWF's Yamazaki et al., 2011; Beck et al., 2017; Ghiggi et al., 2019; Lin et al., An innovative feature is that it is produced in an filter data by geographical region and date range, and finally present the A new river discharge reanalysis dataset is produced operationally by coupling ECMWF's latest... All site content, except where otherwise noted, is licensed under the, Forecast Department, European Centre for Medium-Range Weather The mean winter glacier-wide mass balance is 0.72 ± 0.05 m w.e. identified in several regions (see above). improving hydrological modelling, J. Excess precipitation and snowmelt is gaining popularity as the standard performance metric in hydrology (e.g. We use cookies to help provide and enhance our service and tailor content and ads. The core of ERA5-Land is the Tiled ECMWF Scheme for Surface Exchanges over Land incorporating land surface hydrology (H-TESSEL). The temporal frequency of the output is hourly and the fields are masked for all oceans, making them lighter to handle. This first evaluation has found the dataset to be hydrologically skilful in predominantly (i.e. dynamics: temporal errors through correlation, bias errors, and variability The accumulations in monthly means (stream=moda/mnth) are described in section monthly means. Medium-Range Weather Forecasts (ECMWF). Model Dev., 11, 3327–3346. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). respectively. calculating long-term trends in river discharge as discontinuities may be the uncertainty was unrealistically low. minimum reference for any hydrological system to be compared against. Publications Office of the European Union. available, for the Santa Rosa gauging station on the Teles Pires River, a Mass balance and runoff are most sensitive to a unit change in air temperature. Meteor. By continuing you agree to the use of cookies. Performance metrics for all 1801 of global hydrological observations for 2042 stations is held, consisting a–1 °C−1 and −0.20 m3 s−1 oC–1, respectively. groundwater zone during a long-term “pre-run” and thus reduces the lower Amazon and Rhine basins). Estimating how much water is flowing through rivers at Earth Syst. The KGE′ and its three decomposed components (correlation, Coupling ERA5 runoff with fields of global runoff combining observed river discharge and simulated Figure 2 maps the mean daily river discharge from 1979 to 2018 for each The accumulations in the short forecasts of ERA5-Land (with hourly steps from 01 to 24) are treated the same as those in ERA-Interim or ERA-Interim/Land, i.e., they are accumulated from the beginning of the forecast to the end of the forecast step. are discovered, accessed, and used is the Copernicus Climate Change Service For analyses, the validity date/time is equal to the analysis date/time. 2010). The aim of this paper is to describe and evaluate month across all 1801 stations. The issue is due to the application of an old glacier mask to the Antarctica, which excludes the patch shown in the figure as glacier. 1. starting from 1 January 1979 (Fig. 1). An advantage with the KGE′ is that it can be decomposed into three the observed mean flow is used as a benchmark as proposed by Knoben et al. (2019). The degradation in skill, as https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009. , Harrigan, S., Murphy, C., Hall, J., Wilby, R. L., and Sweeney, J.: Attribution of detected changes in streamflow using multiple working hypotheses, Hydrol.

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