2013
DOI: 10.1016/j.atmosres.2013.01.010
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Long-term verification of HIRLAM and ECMWF forecasts over Southern Europe

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Cited by 30 publications
(24 citation statements)
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“…Looking at the shadowed rectangle that indicates the IQR for S and A, both are biased in all the experiments: S to the right (overestimation) and A downwards (underestimation), respectively indicating forecasts with larger and/or flatter structures than observed, and a negative bias in the amount of precipitation in the object space (most operational models show on average a positive bias in the amount of precipitation, see e.g. Navascués et al, 2013, but this study deals with a selection of extreme precipitation cases, thus no consistency with the average behaviour is expected on this aspect). Slight differences can be observed both in the median positions and in the rectangle sizes: while EXP-RS S median (dashed vertical line) compares to that one for EXP, EXP-ATOVS*2 one is a bit larger (0.3 with respect to 0.2), indicating a slightly worse representation of structure.…”
Section: Sal Verification Of Qpf Using High-resolution Rain Gauge Datamentioning
confidence: 99%
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“…Looking at the shadowed rectangle that indicates the IQR for S and A, both are biased in all the experiments: S to the right (overestimation) and A downwards (underestimation), respectively indicating forecasts with larger and/or flatter structures than observed, and a negative bias in the amount of precipitation in the object space (most operational models show on average a positive bias in the amount of precipitation, see e.g. Navascués et al, 2013, but this study deals with a selection of extreme precipitation cases, thus no consistency with the average behaviour is expected on this aspect). Slight differences can be observed both in the median positions and in the rectangle sizes: while EXP-RS S median (dashed vertical line) compares to that one for EXP, EXP-ATOVS*2 one is a bit larger (0.3 with respect to 0.2), indicating a slightly worse representation of structure.…”
Section: Sal Verification Of Qpf Using High-resolution Rain Gauge Datamentioning
confidence: 99%
“…Numerical weather prediction (NWP) has steadily improved forecast skill over the last decades (Navascués et al, 2013). These advances arise from progress on numerical models and data assimilation (DA) methods as well as the increased quality and availability of data.…”
Section: Introductionmentioning
confidence: 99%
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“…Meteorological forcings for the high-resolution domain come from an operational HIRLAM run every 6 h at AEMET (Navascues et al, 2013). Emissions over land in this domain come from the GEMS-TNO inventory (Visschedijk et al, 2007).…”
Section: Example Of the Specific Evaluation For The Mediterranean Areamentioning
confidence: 99%
“…The aerosol module of MOCAGE follows a bin approach and includes so far the primary aerosols: dust (Martet et al, 2009), sea salts, black carbon (Nho-Kim et al, 2005) and organic carbon. Recent updates of the primary aerosol module and corresponding evaluation can be found in Sič et al (2015).…”
Section: Mocage Forecast and Analysis Systemmentioning
confidence: 99%