EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe
-
Published:2022-07-15
Issue:7
Volume:14
Page:3249-3272
-
ISSN:1866-3516
-
Container-title:Earth System Science Data
-
language:en
-
Short-container-title:Earth Syst. Sci. Data
Author:
Thiemig VeraORCID, Gomes Goncalo N.ORCID, Skøien Jon O.ORCID, Ziese Markus, Rauthe-Schöch ArminORCID, Rustemeier ElkeORCID, Rehfeldt Kira, Walawender Jakub P.ORCID, Kolbe ChristineORCID, Pichon Damien, Schweim Christoph, Salamon PeterORCID
Abstract
Abstract. In this paper we present EMO-5 (“European Meteorological Observations”, spatial resolution of 5 km), a European high-resolution, (sub-)daily, multi-variable
meteorological dataset built on historical and real-time observations
obtained by integrating data from 18 964 ground weather stations, four
high-resolution regional observational grids (i.e. CombiPrecip, ZAMG – INCA,
EURO4M-APGD, and CarpatClim), and one global reanalysis
(ERA-Interim/Land). EMO-5 includes the following at daily resolution: total precipitation,
temperatures (minimum and maximum), wind speed, solar radiation, and water
vapour pressure. In addition, EMO-5 also makes available 6-hourly
precipitation and mean temperature data. The raw observations from the ground
weather stations underwent a set of quality controls before SPHEREMAP and
Yamamoto interpolation methods were applied in order to estimate for each
5×5 km grid cell the variable value and its affiliated uncertainty,
respectively. The quality of the EMO-5 precipitation data was evaluated
through (1) comparison with two regional high-resolution datasets (i.e.
seNorge2 and seNorge2018), (2) analysis of 15 heavy precipitation events,
and (3) examination of the interpolation uncertainty. Results show that
EMO-5 successfully captured 80 % of the heavy precipitation events, and
that it is of comparable quality to a regional high-resolution dataset. The
availability of the uncertainty fields increases the transparency of the
dataset and hence the possible usage. EMO-5 (version 1) covers the time
period from 1990 to 2019, with a near real-time release of the latest
gridded observations foreseen with version 2. As a product of Copernicus,
the EU's Earth Observation Programme, the EMO-5 dataset is free and open, and
can be accessed at https://doi.org/10.2905/0BD84BE4-CEC8-4180-97A6-8B3ADAAC4D26 (Thiemig et
al., 2020).
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference42 articles.
1. Antolović, I., Mihajlović, V., Rančić, D., Mihić, D., and Djurdjević, V.: Digital Climate Atlas of the Carpathian Region, Adv. Sci. Res., 10, 107–111, https://doi.org/10.5194/asr-10-107-2013, 2013. 2. Arnal, L., Asp, S.-S., Baugh, C., de Roo, A., Disperati, J., Dottori, F.,
Garcia, R., Garcia-Padilla, M., Gelati, E., Gomes, G., Kalas, M.,
Krzeminski, B., Latini, M., Lorini, V., Mazzetti, C., Mikulickova, M.,
Muraro, D., Prudhomme, C., Rauthe-Schöch, A., Rehfeldt, K., Salamon, P.,
Schweim, C., Skoien, J.O., Smith, P., Sprokkereef, E., Thiemig, V.,
Wetterhall, F., and Ziese, M.: EFAS upgrade for the extended model domain –
technical documentation, EUR 29323 EN, Publications Office of the European
Union, Luxembourg, ISBN 978-92-79-92881-9, https://doi.org/10.2760/806324, JRC111610,
2019. 3. Cammalleri, C., Arias-Muñoz, C., Barbosa, P., de Jager, A., Magni, D., Masante, D., Mazzeschi, M., McCormick, N., Naumann, G., Spinoni, J., and Vogt, J.: A revision of the Combined Drought Indicator (CDI) used in the European Drought Observatory (EDO), Nat. Hazards Earth Syst. Sci., 21, 481–495, https://doi.org/10.5194/nhess-21-481-2021, 2021. 4. CCl/WCRP/JCOMM Expert Team on Climate Change Detection and Indices: Climate
Change Indices – Definitions of the 27 core indices,
http://etccdi.pacificclimate.org/list_27_indices.shtml, last access: 8 March 2021. 5. Chow, D. H. C. and Levermore, G. J.: New algorithm for generating hourly
temperature values using daily maximum, minimum and average values from
climate models, Building Services Engineering Research and Technology,
28, 237–248, https://doi.org/10.1177/0143624407078642,
2007.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|