1. General overview of UERRA DARE efforts and results
By Manola Brunet, linden Ashcroft, joan ramon coll and merce castella with gratitude to the urv student-digitisers group
Centre for climate change, university Rovira i virgili, Tarragona, catalonia

2. Overview on WP1 objectives and deliverables with the emphasis placed in dare activities
T1.1 - Data coordination, inventory and access to national archives [Months: 1-36] – URV (3.7M hourly observations), NMA-RO (~ 300K)
D1.1: A comprehensive list of possible additional sources that can be accessed for digitisation and encoding (URV) [month 6]
D1.2 : Report on the locations of the station data: digitised and to be digitised (URV) [month 10]
D1.3 : Infilling in temporal and spatial gaps for the post-1950 period in Europe and its borders. Data subset (URV, NMA-RO) [month 18]
D1.4 : Infilling in European temporal and spatial gaps for the pre-1950 period. Data subset (URV 11 pm, NMARO 1 pm) [month 24]
T1.2 - High-quality synoptic-scale data development [Months: 1-36] - URV, UEA
D1.5 : Quality controlled time-series of synoptic observations for the post- and pre periods in Europe and its borders (URV, NMA-RO) [month 30]
D1.6 : Homogeneity and homogenisation assessments of station data as they are collected from the NMHSs and from other sources (UEA, URV) [month 36]

3. An Overview on the whole urv dare efforts (Y1 & Y2) to add input data for erras
Data coordination and dare’s target identification
Exploring MARS archive data availability (CRU), ispd holdings & crosschecking (URV) with gathered imaged data-sources (from EURO4M & new located national sources)
Coordination between other dare initiatives: isti-dare team, i-dare, eraclim2 through acre, ncei new holdings
Urv’s digitisation focus: Variables: SLP, TMP, WS, WD, RH, DP, SD, FS, RR at the hourly and daily scales. Periods: post-1950 & pre-1950 with less extent. Data-sparse areas: Southern part of Med, Balkans, central & eastern Europe
National data access: digitising un-digitised post-1950 data kept at NMS national archives of Catalonia, Germany, Slovenia
A total digitisation effort exceeding the 8m of station-values, duplicating the target
Accessing digitised data not available at mars from national databanks, & ensuring provenance: another ~2m obs. Extracted by smhi & being in use by WP2 & to be added to the digitised data
Sweden holdings for 1950s & 1960s. all Swedish 6 hour interval (with 3 hourly obs) and even 1 hourly stations from to be provided by smhi to urv for integration in the UERRA datasets
Catalonian & Slovenian digitised hourly data for the post-1990 period to be accessed in the next months. Accessible Norwegian holdings not so accessible, so far (complex data portal in local language). Ole doing his best to provide access. Urv to follow up with the Catalan & Slovenian nms to access the data

4. SMHI data extraction by urv in addition to smhi converted data (~2M)
A total of 42 million observations from 146 stations and for 5 hourly variables:
Temperature (~15M station values)
Precipitation
SLP (~13M station values)
Cloud cover
Relative humidity
Focus was on poorly covered periods of 1950–1960s, but some stations that opened in 1951, and are still open, the data accessed cover from 1951 to 2015
Over 42 million observations have been extracted from the Swedish Meteorological Service (SMHI) open data portal (opendata-download-metobs.smhi.se/explore/) for 146 unique stations. Data (subdaily temperature, precipitation, snowdepth, relative humidity, atmospheric sea level pressure and cloud cover) were extracted from any station with observations between 1951 and 1970, except for RH, for which data were only available from This time period was chosen as the 1950s and 1960s are known decades of sub-optimal data
coverage in the Scandanavian region.
The image on the right is a screenshot from the SMHI Oppna data portal, showing the stations with hourly temperature data availability from 1951 to Red indicates stations that are now closed, green shows stations that are open, and yellow indicates several stations in the same region.

5. Summary of urv whole efforts (Y1 & Y2) and results: data volumes by variable and observing times

6. Summary of urv whole efforts (Y1 & Y2) and results: data volumes by variable and observing times

7. Summary of urv whole efforts (Y1 & Y2) and results: data volumes by country

8. A whole overview to the urv digitisation effort

9. Making available both the urv’s digitised and accessed data to uerra partners & international data centres
All the available uerra dataset (both the digitised & accessed data) will be made available in ascii format on m30, once our digitised data are qc’ed, by urv in ASCII format to the ECMWF's File Storage system (ecfs) to be in use to wp2 partners
Need for Data encoding (CRU), either in bufr or odb formats might be discussed in here
Urv will submit the ASCII files to international data centres (e.g. ispd, HadISD, ncei, isti, CRU TS dataset, eca&d) once the dataset has been tested for homogeneity and adjusted (m36), if required

10. ROMANIAN CLIMATE DATASET
Period: (an update for is in progress); Time step: daily; Spatial resolution: 0.1°×0.1°; Homogenisation and quality control: MASH (Multiple Analysis of Series for Homogenization); Interpolation: MISH (Meteorological Interpolation based on Surface Homogenized Data).
Nine parameters:
Air pressure;
Air temperature: min, max, average (from 6-hour data records);
Soil temperature;
Precipitation;
Number of sunshine hours;
Cloud cover;
Relative humidity.
All stations with full data records and those with <20% missing data were involved.

11. Linden to follow on the QC approach
Thanks for attention
Linden to follow on the QC approach