evaluating urban climate model simulations with low-cost air
TRANSCRIPT
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Evaluating urban climate model simulations with low-cost air temperature measurements Maja Žuvela-Aloise, Brigitta Hollosi, Gernot Weyss, Philemon Löffelmann
Central Institute for Meteorology and Geodynamics, Vienna, Austria
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Problems:
• Accuracy and reliability of measurement devices
• Design for industrial applications
• Non-standard collecting procedure
Why low-cost temperature measurements?
Advantages:
• Exploiting technological potential
• Increasing density of monitoring networks
• Filling gaps in in-situ observational data
• Limited resources
• Crowd-sourcing
• Business opportunity....
Stationary low-cost measurements at the weather station in Vienna, Austria
Mobile measurements with low-cost devices
Questions:
• What quality can be expected from the low-cost measurements?
• Can they be used for urban climate applications?
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• Heat load assessment
• Downscaling of future climate scenarios on urban scale
• Sensitivity simulations for climate change adaptation strategies
• Support for urban planning
• Reconstruction of urban climate
• Improvement of heat warning systems
Urban climate model applications with MUKLIMO_3
Andre et al. “Modeling reduction of Urban Heat Island effect by improving radiative properties of buildings and districts”, ICUC9 POSTER 23: UDC - Building climate and energy consumption
Bokwa et al.: “Modelling the impact of climate change on heat load increase in Central European cities”, ICUC9 CCMA2: Climate modeling: methodologies for impacts studies
1971-2000
2021-2050
2071-2100
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Urban climate simulations in NWP mode
Experiments: ALARO-MUKLIMO_3 daily simulations, April-October 2013
Needed high spatial resolution observational data for model validation!
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How good are the model simulations?
UCM MUKLIMO_3
MODIS LST Thermal images
Operational weather stations
+1.1
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Temperature sensors and data loggers
Arduino-based data logger + Sensirion SHT21
Lascar EL-USB-2-LCD+
Onset HOBO UX100-003
Arduino-based data logger + AOSONG AM2315
Maxim iButton
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Response time and time constant of devices
Maxim iButton
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Calibration and testing of measurement devices
Data-logger
Reference sensor
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Mobile measurements by bicycles
• July 7, 2011, 14:00 – 16:00 (CEST)
• 11 routes through Vienna
• 15-30 km per route, more than 300 km in total
• ~16 000 air temperature measurements on a hot day
• iButton, GPS
• Correction for velocity and daily cycle (15:00 CEST)
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Mobile measurements by car
• July 28, 2013, 14:00 – 17:00
• Cross-section through city
• Air temperature and relative humidity measurements
• Arduino-based data logger + Sensirion SHT21, Onset HOBO UX100-003, GPS
• Correction for systematic error, velocity and daily cycle (15:00 CEST)
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Comparison of measurement devices
• Small difference (ΔT=0.15°C) between ventilated and non-ventilated mobile observations
• Significant difference between devices with different time constant and radiation protection
ARD vs. HOBO
HOBO: ventilated vs. not-ventilated
Arduino-based data logger + Sensirion SHT21 sensor (ARD) vs. Onset HOBO UX100-003 (HOBO)
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Measurements: Arduino-based data logger + Sensirion SHT21 sensor
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Measurements: Onset HOBO UX100-003
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MUKLIMO_3 Simulation
compared to air temperature measurements with Arduino-based data logger + Sensirion SHT21 sensor
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MUKLIMO_3 Simulation
compared to air temperature measurements with Onset HOBO UX100-003
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MODIS satellite: land surface temperature
compared to air temperature measurements with Arduino-based data logger + Sensirion SHT21 sensor
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Model validation for July 7, 2011 at 15:00 CEST
∆T (°C)
+1.1
Difference at the monitoring stations
Mobile measurements
Difference for mobile measurements
Modelled air temperature
+
°C
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Model validation for July 28, 2013 at 15:00 CEST
-0.2
Difference at the monitoring stations
Mobile measurements
Daily cycle
Modelled air temperature
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Comparison per land use class
Measurements with iButtons
Buildings Streets
Park
Agriculture
Forest
Water
Number of grid points
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Stadtklimamodellierung
20
Summary
• Urban climate model applications need high spatial resolution meteorological observations for validation.
• Low-cost measurement devices have sufficient precision to be used for data acquisition.
• However, reliability and design of low-cost devices needs to be adapted and improved.
• Validation with mobile measurements increases reliability of urban climate models.
• Need for standardization of observational procedure and data post-processing for mobile measurements
Thank you for your attention!