TY  - GEN 
AU  - Romero Rodríguez, Laura
AU  - Guerrero Delgado, MCarmen
AU  - Castro Medina, Daniel
AU  - Sanchez Ramos, José
AU  - Álvarez Domínguez, Servando
A4  - Máquinas y Motores Térmicos
PY  - 2024
SN  - 2212-0955
UR  - http://hdl.handle.net/10498/35540
AB  - This work explores the potential of using crowdsourced data from Citizen Weather Stations (CWS) to forecast urban temperatures. Five case studies were selected (Madrid, London, Rome, Paris and Berlin), using data from the manufacturer Netatmo to...
LA  - eng
PB  - Elsevier
KW  - Forecasting
KW  - Crowdsourcing
KW  - Urban temperatures
KW  - CWS
KW  - Prediction models
TI  - Forecasting urban temperatures through crowdsourced data from Citizen Weather Stations
DO  - 10.1016/J.UCLIM.2024.102021
ER  -