Atmospheric conservation properties in ERA‐Interim

Berrisford, Paul; Kållberg, Per; Kobayashi, Shinya; Dee, Dick; Uppala, S.; Simmons, A. J.; Poli, Paul; Sato, Hiroyasu

doi:10.1002/qj.864

Cited by 513 publications

(515 citation statements)

References 32 publications

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“…ERA-INTERIM is a reanalysis of the global atmosphere since 1989, continuing in real time (Berrisford et al 2009). The ERA-INTERIM atmospheric model and reanalysis system has a spatial resolution of 0.7°× 0.7°and 60 atmospheric layers.…”

Section: Weather Data Derived From Era-interimmentioning

confidence: 99%

“…Recently, the European Centre for Medium-range Weather Forecasting (ECMWF) has completed the ERA-INTERIM archive which is a reanalysis of the global atmosphere since 1989 (Berrisford et al 2009). In contrast to earlier reanalysis archives which were only available for a fixed period of time, the ERA-INTERIM archive continues in real time with a delay of around 1 mo.…”

Section: Introductionmentioning

confidence: 99%

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Using ERA-INTERIM for regional crop yield forecasting in Europe

Wit¹,

Baruth²,

Boogaard³

et al. 2010

Clim. Res.

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Agrometeorological systems for regional crop yield forecasting have traditionally relied on weather data derived from weather stations for crop simulation and yield prediction. In recent years, numerical weather prediction (NWP) models have become an interesting source of weather data with the potential to replace observed weather data. This is a result of the steadily decreasing NWP grid sizes and the availability of long and consistent time-series through the so-called reanalysis projects. We evaluated the ERA-INTERIM reanalysis data set from the European Centre for Medium-range Weather Forecasting for regional crop yield forecasting. Crop simulations were carried out using 2 identical model implementations: one using interpolated observed weather, the other using weather data derived from ERA-INTERIM. Output for both sources of weather variables was generated for the EU27 and neighbouring countries and 14 crops, aggregated to national level and validated using reported crop yields from the European Statistical Office. The results indicate that the system performs very similar in terms of crop yield forecasting skill for both sources of weather variables. In 38% of the crop-country combinations, the forecasting error can be reduced by more than 10% of the baseline forecast (the trend only) for both sources of weather variables. In almost 20% of the crop-country combinations, the forecasting error can be reduced by more than 25% of the baseline forecast. The results demonstrate that the ERA-INTERIM data set is highly suitable for regional crop yield forecasting over Europe and may be used for implementing regional crop forecasting over data-sparse regions. Finally, we conclude that there is a need to improve the crop calendar and/or calibration for some of the modelled crops.

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Section: Weather Data Derived From Era-interimmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using ERA-INTERIM for regional crop yield forecasting in Europe

Wit¹,

Baruth²,

Boogaard³

et al. 2010

Clim. Res.

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“…Sea level pressures from ERA-Interim at the European Center for Medium-Range Weather Forecasting (ECMWF) [16], National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) [17], and NCEP North American Regional Reanalysis (NARR) [18] reanalyses are used to calculate the mean sea level pressure gradient across the length of the Salmon River Canyon, from the Montana border to the Oregon border ( Figure 1). The horizontal grid spacing of these reanalysis datasets is coarse (80, 210 and 32 km grid spacing) compared to the scale of the study area; however, our hypothesis is that the observed gap wind events are canyon-scale events tied to the regional sea level pressure gradient.…”

Section: Calculation Of the Sea Level Pressure Gradientmentioning

confidence: 99%

Observations and Predictability of Gap Winds in the Salmon River Canyon of Central Idaho, USA

et al. 2018

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This work investigates gap winds in a steep, deep river canyon prone to wildland fire. The driving mechanisms and the potential for forecasting the gap winds are investigated. The onset and strength of the gap winds are found to be correlated to the formation of an along-gap pressure gradient linked to periodic development of a thermal trough in the Pacific Northwest, USA. Numerical simulations are performed using a reanalysis dataset to investigate the ability of numerical weather prediction (NWP) to simulate the observed gap wind events, including the timing and flow characteristics within the canyon. The effects of model horizontal grid spacing and terrain representation are considered. The reanalysis simulations suggest that horizontal grid spacings used in operational NWP could be sufficient for simulating the gap flow events given the regional-scale depression in which the Salmon River Canyon is situated. The strength of the events, however, is under-predicted due, at least in part, to terrain smoothing in the model. Routine NWP, however, is found to have mixed results in terms of forecasting the gap wind events, primarily due to problems in simulating the regional sea level pressure system correctly.

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“…The integration over the model levels is done from the top down, with the assumption W i,j,0 = 0. This may lead to W i,j,N LEV = 0, if the fields are not perfectly mass-conserving, which is the case for reanalysis data (see Berrisford et al 2011 for a study on ERAInterim) as used by Kjellsson and Döös (2012). In such a case, the vertical flux at the surface must be explicitly set to zero.…”

Section: Scheme For Atmospheric Hybrid Vertical Coordinatesmentioning

confidence: 99%