1. The C3S project UrbanSIS - 1km resolution ECVs and impact indicators over European cities focusing on health and infrastructure
Lars Gidhagen,
Jorge H. Amorim,
Heiner Körnich,
Esbjörn Olsson,
David Lindstedt,
Petter Lind,
Yeshewatesfa Hundecha,
Magnuz Engardt (SMHI)

2. Motivation Flash floods Heat waves Urban air quality
(Picture by Jonasosthassel on flickr CC by 2.0)
Urban air quality

3. Urban SIS - a climate service for European cities
How possible?
detailed land-use data publically available
climate models can run on spatial resolutions that ”feels” the city characteristics
Overall aims:
offer high spatial and temporal resolution to increase the usefulness of the information
Focus: consistent ECVs for short- and long-term urban planning
Existing climate data are relevant at the regional scale, but less informative on intra-city gradients

4. Goal: Urban ECVs and climate impact indicators
65 Impact Indicators specified by users and experts for infrastructure and health:
Urban SIS delivers:
26 Essential Climate Variables (ECVs)
as hourly (or 15 min for precipitation) 1x1km2 resolution
to be visualized and/or downloaded
series of statistical indicators for each ECV, e.g. daily/monthly/annual averages and extreme values

5. 3 European cities (Stockholm, Bologna and Amsterdam/Rotterdam)
Methodology
Dynamical downscaling
of reanalysis and regional
climate modelling data
HARMONIE-AROME
demonstration for 3 time windows of 5 years representing historical, present and future conditions over
3 European cities (Stockholm, Bologna and Amsterdam/Rotterdam)

6. Refining the urban surface
Open-access databases and products used for enriching ECOCLIMAP II:
Input data type
Product
Spatial resolution (m)
Source data type
Webpage
Spatial coverage of land cover types
Copernicus Land Monitoring Services: Urban Atlas 2012
100
Satellite data PROBAV v1.4
icus.eu/local/urba n-atlas
Building polygons
OpenStreetMap nd
Different sources
streetmap.org
Building/tree heights
Swedish Forest Agency
12.5
Lidar measurements
styrelsen.se/Mynd igheten/Om- oss/Oppna-data/
Time-series of LAI
Copernicus Global Land Service
1000
Satellite data
icus.eu/global/the mes/vegetation
Selection criteria: Accuracy/reliability, Spatial (& time) resolution, Availability

7. Urban SIS - The Urban SIS data portal Information pages Data portal
Main entrance to Urban SIS.
Metadata and links to data
Other relevant information to support user in using the data
Community and best practice
Data portal
Visualisation, selection and download of the Urban SIS data.
Data is stored as NetCDF following convention CF-1.6.
The data portal is based on THREADDS Data Server and a web client for visualization and download.

8. Simulated monthly mean 2m air temperature in Stockholm, July 2014
Example from portal
Simulated monthly mean 2m air temperature in Stockholm, July 2014

9. Park Cool Island (PCI) effect / Bologna
Mean daily profile of T2m over 5-years ( ,12-14) at Giardini Margherita
DJF
JJA
PCIday ≈ 0.5K
PCIday ≈ 2.2K
PCInight ≈ 1.8K
PCInight ≈ 2K
PCIavg = 1.45K
PCIavg = 2.04K
− model − model

10. Observed and simulated climate impact

11. Mean July precipitation in Stockholm
Observed Simulated

12. Mean January precipitation in Stockholm
Observed Simulated
During strongly forced conditions (e.g. wintertime) a larger domain is needed.

13. Observed and simulated precipitation in Stockholm
Depth-Duration-Frequency
Good agreement for strong precipitation. Note: different time periods were used.

14. Conclusions
UrbanSIS provides urban consistent ECVs and climate impact indicators by using a dynamical downscaling modeling chain with considerable computational costs.
Urban heat and park cooling island effects can be quantified. Summer urban rainfall shows good results. For wintertime precipitation, a larger domain is needed.
Visit our portal:

15. Urban SIS – Thank you for your attention!
Questions?