A high‐resolution regional reanalysis for Europe. Part 2: 2D analysis of surface temperature, precipitation and wind

Landelius, Tomas; Dahlgren, Per; Gollvik, Stefan; Jansson, Anna; Olsson, Esbjörn

doi:10.1002/qj.2813

Cited by 68 publications

(64 citation statements)

References 17 publications

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“…Numerical simulations in this study were performed and forced for the period 1991-2007 by the Swedish Meteorological and Hydrological Institute (SMHI) reanalysis product EURO4M Landelius et al, 2016), with a horizontal resolution of 22 km. The forcing consisted of 3-hourly wind, longwave and shortwave radiation, air temperature, humidity and precipitation readings.…”

Section: Nemo-nordic-bfm-si Coupling and Experimental Setupmentioning

confidence: 99%

Long-term mesoscale variability of modelled sea-ice primary production in the northern Baltic Sea

Tedesco

Miettunen

et al. 2017

Elementa: Science of the Anthropocene

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We describe a new ocean-sea ice-biogeochemical model, apply it to the Bothnian Bay in the northern Baltic Sea for the time period 1991-2007 and provide the first long-term mesoscale estimates of modelled sea-ice primary production in the northern Baltic Sea. After comparing the available physical and biogeochemical observations within the study area and the time period investigated with the model results, we show the modelled spatial, intra-and interannual variability in sea-ice physical and biogeochemical properties and consider the main factors limiting ice algal primary production. Sea-ice permeability in the studied area was low compared with the polar oceans, which appeared to be a major reason for the generally low primary production rates. Although the sea ice was less saline in the northernmost parts of the basin, these parts were characterized by sea ice with a larger amount of habitable space, higher levels of photosynthetically active radiation and increased macronutrient availability near the coast, which favoured higher algal growth rates. Other parts of the southern central basin were mostly co-limited by less favourable light conditions (i.e., earlier ice breakups associated with fewer sunlight hours) and lower seawater macronutrient concentrations than in the coastal zones. Although a change towards milder winters (i.e., reduced ice cover, thickness and length of the ice season) was previously detected on a half-century timescale and could partly be seen here, analysis of the temporal evolution of sea-icebiogeochemicalpropertiesshowednosignificanttrendsovertime,thoughthesepropertieswere characterized by large interannual variability.

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Section: Nemo-nordic-bfm-si Coupling and Experimental Setupmentioning

confidence: 99%

Long-term mesoscale variability of modelled sea-ice primary production in the northern Baltic Sea

Tedesco

Miettunen

et al. 2017

Elementa: Science of the Anthropocene

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“…The distribution of daily precipitation is therefore highly non‐Gaussian, leading to a non‐optimal use of the EnKF. Most often precipitation is assimilated without previous transformation (Vidal et al ., ; Landelius et al ., ; Soci et al ., ). Lien et al .…”

Section: Approachmentioning

confidence: 99%

A framework for high‐resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions

Devers¹,

Vidal²,

Lauvernet³

et al. 2019

Quart J Royal Meteoro Soc

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The knowledge of historical French weather has recently been improved through the development of the Spatially COherent Probabilistic Extended (SCOPE) climate reconstructions. This high‐resolution ensemble daily reconstruction dataset of precipitation and temperature covers the period 1871–2012 and is derived through a statistical downscaling of the Twentieth Century Reanalysis. Historical surface observations – even though rather scarce and sparse – do exist from at least the beginning of the period considered, and this information does not currently feed SCOPE Climate. We propose to construct a new high‐resolution surface reanalysis over France – called FYRE Climate (French hYdrometeorological REanalysis Climate) – by assimilating daily temperature and precipitation observations into SCOPE Climate through an offline Ensemble Kalman Filter. The goal of the study is to test methodological choices for developing the future FYRE Climate surface reanalysis. The data assimilation scheme is evaluated over the 2009–2012 period with an increasing assimilated observation density reproducing historical densities. A consistent set of independent stations is retained for validation in terms of continuous ranked probability score, daily bias and daily correlation. Results highlight the importance of the localization as well as the Gaussian anamorphosis for precipitation. They show that: (a) the reanalysis has a lower uncertainty than the initial SCOPE Climate reconstructions, (b) its reliability is similar, and (c) the data assimilation allows reaching the performance of the reference Safran surface reanalysis over France, even for a density of observations as low as the one of 1950. These results thus pave the way for a full 140‐year high‐resolution precipitation and temperature surface reanalysis over France.

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“…Hersbach et al 2015) or have the benefit of high spatial resolution with, however, limited time coverage (e.g. Landelius et al 2016).…”

Section: Introductionmentioning

confidence: 99%

High-resolution grids of hourly meteorological variables for Germany

Krähenmann

Brienen

Imbery

et al. 2016

Theor Appl Climatol

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We present a 1-km 2 gridded German dataset of hourly surface climate variables covering the period 1995 to 2012. The dataset comprises 12 variables including temperature, dew point, cloud cover, wind speed and direction, global and direct shortwave radiation, down-and up-welling longwave radiation, sea level pressure, relative humidity and vapour pressure. This dataset was constructed statistically from station data, satellite observations and model data. It is outstanding in terms of spatial and temporal resolution and in the number of climate variables. For each variable, we employed the most suitable gridding method and combined the best of several information sources, including station records, satellite-derived data and data from a regional climate model. A module to estimate urban heat island intensity was integrated for air and dew point temperature. Owing to the low density of available synop stations, the gridded dataset does not capture all variations that may occur at a resolution of 1 km 2 . This applies to areas of complex terrain (all the variables), and in particular to wind speed and the radiation parameters. To achieve maximum precision, we used all observational information when it was available. This, however, leads to inhomogeneities in station network density and affects the long-term consistency of the dataset. A first climate analysis for Germany was conducted.

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A high‐resolution regional reanalysis for Europe. Part 2: 2D analysis of surface temperature, precipitation and wind

Cited by 68 publications

References 17 publications

Long-term mesoscale variability of modelled sea-ice primary production in the northern Baltic Sea

Long-term mesoscale variability of modelled sea-ice primary production in the northern Baltic Sea

A framework for high‐resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions

High-resolution grids of hourly meteorological variables for Germany

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