DOI: 10.5281/zenodo.13361537
title: 100m climate and heat stress information up to 2100 for 142 cities around the globe

description: Related publication: Souverijns, N., Lauwaet, D., Lejeune, Q., Kropf, C.M., Lam Yeung, K., Nath, S., Schleussner, C.F., 2026. 100 m climate and heat stress data up to 2100 for 142 cities around the globe. Data in Brief, 65, 112497. https://doi.org/10.1016/j.dib.2026.112497

Related dashboard: https://climate-risk-dashboard.climateanalytics.org/

A zip archive of decadal climate, heat stress and impact indicators for 142 cities around the world obtained using the UrbClim model. Information is available at 100m resolution for each decade up to 2100 for three future clilmate scenarios (including climate model uncertainty):



Current Policies 

Shifting Pathways 

Delayed Action / Gradual Strengthening 


The cities are listed in the table below and are offered in separate zip archives per country.

The scripts to process the model data can be found in python_scripts.zip




Country
City
Country
City
Country
City
Country
City


Albania
Tirana
France
Nantes
Japan
Tokyo
Singapore
Singapore


Argentina
Buenos Aires
 
Nice
Jordan
Amman
Slovakia
Bratislava


Australia
Melbourne
 
Paris
Kenya
Nairobi
 
Kosice


 
Sydney
 
Strasbourg
Latvia
Riga
Slovenia
Ljubljana


Austria
Graz
 
Toulouse
Lithuania
Klaipeda
Somalia
Mogadishu


 
Vienna
Germany
Berlin
 
Vilnius
South Africa
Cape Town


Bangladesh
Dhaka
 
Cologne
Luxembourg
Luxembourg
 
Tschwane


Belgium
Antwerp
 
Dusseldorf
Mexico
Mexico City
Spain
Alicante


 
Brussels
 
Frankfurt am Main
Montenegro
Podgorica
 
Barcelona


 
Charleroi
 
Hamburg
Morocco
Marrakesh
 
Bilbao


 
Ghent
 
Leipzig
 
Rabat
 
Madrid


 
Liege
 
Munich
Netherlands
Amsterdam
 
Malaga


Bosnia & Herzegovina
Sarajevo
Ghana
Accra
 
Rotterdam
 
Murcia


Brazil
Curitiba
Greece
Athens
 
Utrecht
 
Palma de Mallorca


 
Salvador
 
Thessaloniki
New Zealand
Auckland
 
Sevilla


Bulgaria
Sofia
Hungary
Budapest
Nigeria
Lagos
 
Valencia


 
Varna
 
Debrecen
North Macedonia
Skopje
Sweden
Goteborg


Canada
Toronto
 
Gyor
Norway
Oslo
 
Stockholm


Chile
Santiago
 
Miskolc
Pakistan
Islamabad
Switzerland
Basel


China
Hong Kong
 
Pecs
 
Karachi
 
Geneva


 
Nanjing
 
Szeged
Peru
Lima
 
Zurich


Columbia
Bogota
Iceland
Reykjavik
Poland
Gdansk
Turkey
Istanbul


Croatia
Split
India
Chennai
 
Krakow
United Arab Emirates
Dubai


 
Zagreb
Indonesia
Jakarta
 
Lodz
United Kingdom
Birmingham


Czech Republic
Prague
Iran
Teheran
 
Warsaw
 
Edinbugh


Denmark
Copenhagen
Ireland
Dublin
 
Wroclaw
 
Glasgow


Egypt
Cairo
Italy
Bari
Portugal
Lisbon
 
Leeds


Estonia
Tallinn
 
Bologna
 
Porto
 
London


 
Tartu
 
Genoa
Romania
Brasov
 
Newcastle


Ethiopia
Addis Abeba
 
Milan
 
Bucharest
United States
Houston


Finland
Helsinki
 
Naples
 
Cluj Napoca
 
Los Angeles


France
Bordeaux
 
Padua
Russia
Moscow
 
New York


 
Lille
 
Palermo
Saudi Arabia
Medina
 
Phoenix


 
Lyon
 
Rome
Senegal
Dakar
Vietnam
Ho Chi Minh


 
Marseille
 
Trieste
Serbia
Belgrado
 
 


 
Montpellier
 
Turin
 
Novi Sad
 
 




The data is provided in both Geotiff and NetCDF format. A zip archive for each city is generated. Each zip file contains two folder:



Geotiffs

Netcdfs


Each file has the following file structure: [indicator_filename]_[decade]_[climate_scenario]_[uncertainty]_[projection].[format]

Indicator name (a defintion for each indicator can be found in the publication above):




Indicator (full definition in Souverijns et al. (in review)
Indicator filename


Average daily maximum temperature
T2M_daily_mean_max


Average daily minimum temperature
T2M_daily_mean_min


Average daily temperature
T2M_mean


Maximum temperature of the warmest month
MTWM


Maximum temperature of the coolest month
MTCM


Daytime Urban Heat Island
T2M_daily_mean_max_topography


Nighttime Urban Heat Island
T2M_daily_mean_min_topography


Annual heatwave days
heatwave_days


Annual heat-wave magnitude index daily (HWMId)
HWMI


Annual number of days exceeding [25°C; 30°C; 35°C]
T2M_dayover25; T2M_dayover30; T2M_dayover35


Annual number of nights exceeding [20°C; 25°C; 28°C]
T2M_nightover20; T2M_nightover25; T2M_nightover28


Annual cooling degree hours
cooling_degree_hours


Annual number of days WBGT > [25°C; 28°C; 29.5°C; 31°C]
WBGT_dayover25; WBGT_dayover28; WBGT_dayover295; WBGT_dayover31


Annual number of nights WBGT > [25°C; 28°C]
WBGT_nightover25; WBGT_nightover28


Annual number of hours WBGT > [25°C; 28°C; 29.5°C; 31°C]
WBGT_hourover25; WBGT_hourover28; WBGT_hourover295; WBGT_hourover31


Annual lost working hours for intense activities
LWH_int


Annual lost working hours for moderate activities
LWH_mod


Annual lost working hours for light activities
LWH_light


Population exposed to heatwave warning days
population_exposed_heatwave


Population exposed to heat stress days (WBGT > [25°C; 28°C; 29.5°C; 31°C])
population-exposed-WBGTover25; population-exposed-WBGTover28; population-exposed-WBGTover295; population-exposed-WBGTover31




Decade:

2011-2020; 2021-2030;...;2091-2100

Climate scenario:




Climate scenario
Climate scenario in filename


Current Policies
CurPol


Delayed Action / Gradual Strengthening 
GS


Shifting Pathways
SP




Uncertainty:




Uncertainty
Uncertainty filename


Median of the climate scenario ensemble
ensmean


5th percentile of the climate scenario ensemble
enspctl05


95th percentile of the climate scenario ensemble
enspctl95




Projection:

The Geotiffs and NetCDFs are always provided in a local projection depending on the country / continent (This can be retrieved from the metadata of the files). Furthermore, the Geotiffs are also provided in EPSG:4326 which is then denoted in the filename

Format:




Format
Extension


Geotiff
.tif


NetCDF
.nc