meteorological institute faculty of forest and environmental sciences...
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Meteorological InstituteFaculty of Forest and Environmental Sciences
The Universal Thermal Climate Index UTCI Goal and State of COST Action 730 and ISB Commission 6
Gerd Jendritzky1, George Havenith2, Philipp Weihs3, Ekaterina Batchvarova4, and Richard DeDear5
1Meteorological Institute, Univ of Freiburg, Germany2Loughborough Univ, Loughborough, U.K.
3Univ Soil Culture, Vienna, Austria4Nat. Inst. Meteorology Hydrology, Sofia, Bulgaria
5Dept. Physical Geography, Macquarie Univ, Sidney, Australia
Meteorological InstituteFaculty of Forest and Environmental Sciences
conduction
convection
respiration
Sweat evaporation
clothing
Direct radiation
Sun or other
radiation source
Reflectedradiation
Infra-redradiation
infra-redradiation
M
External work
Avenues of Heat Exchange
(G. Havenith, 2001)
Meteorological InstituteFaculty of Forest and Environmental Sciences
The human heat budget
M + W + Q* + QH + QL + QSW + QRe + S = 0
M Metabolic rate
W Mechanical power
Q* Radiation budget (Tmrt)
QH Turbulent flux of sensible heat (Ta,v)
QL Turbulent flux of latent heat (diffusion water vapour) (vp,v)
QSW Turbulent flux of latent heat (sweat evaporation) (vp,v)
QRe Respiratory heat flux (sensible and latent) (Ta,vp)
S Storage
Meteorological InstituteFaculty of Forest and Environmental Sciences
Why UTCI?
Simple thermal indices do not consider sufficiently: (1) heat exchange theory (2) thermo-physiology
Thus simple thermal indices show inacceptable shortcomings
Last 35-40 years: Heat budget modelling
Need: Dose-response related procedure
Integration of new knowledge and concerns
Need: Harmonization UTCI (ISB, COST, WMO, ISO)
Meteorological InstituteFaculty of Forest and Environmental Sciences
Main objective of joint activities of ISB Comm. 6 and COST Action 730 on UTCI:
to develop and make easily available
a physiologically assessment model of the thermal environment
based on one of the “most advanced thermo-physiological models”
in order to significantly enhance applications related to health and well-being in the fields of:
public weather service public health system precautionary planning climate impact research
> 40 scientists from 22 countries (Europe, IL, CA, AUS, NZ)
Meteorological InstituteFaculty of Forest and Environmental Sciences
The UTCI modelweather data
Tmrt
v
vp
Ta
Single
index
UTCI
Meteorological InstituteFaculty of Forest and Environmental Sciences
The UTCI modelweather data
Tmrt
v
vp
Ta
Multi-node
Thermo-
physiogical
Model
Single
index
UTCI
Meteorological InstituteFaculty of Forest and Environmental Sciences
Fiala et al. 2001
Principle of Fiala‘s 340 node model
Meteorological InstituteFaculty of Forest and Environmental Sciences
The UTCI modelweather data
Tmrt
v
vp
Ta
Multi-node
Thermo-
physiogical
Model
+Clothing Model
Single
index
UTCI
Meteorological InstituteFaculty of Forest and Environmental Sciences
Clothing insulation vs. air temperature (all data together)
0
0,5
1
1,5
2
2,5
-25 -20 -15 -10 -5 0 5 10 15 20 25 30 35
Icl
Polynomisch (Icl)
Icl (clo)
Ta (K)Ta °C
Tcore
Tskin
Skin Blood Flow
Sweating
Shivering
Brain Controllers
Behaviour
SkinTemperature
Threshold
+ -
CoreTemperature
Threshold
+ -
Environment
HeatExchange
HeatExchange
Havenith, 2001
Human Physiology ModelControl System
Meteorological InstituteFaculty of Forest and Environmental Sciences
The UTCI modelweather data
Tmrt
v
vp
Ta
Multi-node
Thermo-
physiogical
Model
+Clothing Model
Tcore ,
local Tskin ,
skin
wettedness
thermal
sensation,
etc.
Single
index
UTCI
Average human
response
Meteorological InstituteFaculty of Forest and Environmental Sciences
1 Rectal temperature
2 Mean skin temperature
3 Face skin temperature
4 Skin blood flow
5 Skin wettedness
6 Sweating
7 Shivering
Model response in Reference Conditions
Ta°C
+50
-50
0
75.000 simulationsFiala 340 node model
Meteorological InstituteFaculty of Forest and Environmental Sciences
Global Ta / vp distribution65535 random samle out of 747.520.000 data (0,00877%); ECHAM4/T106 Ctrl
0
10
20
30
40
50
-40 -30 -20 -10 0 10 20 30 40 50
Temperature / °C
vp / hPa
vp
vp (RH 25%)
Reference
vp (RH 50 %)
vp (RH 100 %)
vp (RH 10 %)
vp 20 hPa
Linear (vp 20hPa )TT 47,42 °C max
-74,60 °C min
vp 40,19 hPa max 0,03 hPa min
TD 28,96 °C max-76,89 °C min
Meteorological InstituteFaculty of Forest and Environmental Sciences
Summary: Basic features of UTCI
• Thermo-physiologically significant in the whole range of heat exchange conditions
• Valid in all climates, seasons and scales• Independent of individual characteristics• Prediction of whole body and local (WCI) thermal effects • Based on the advanced 340-node model (Fiala)• Met input data: Ta, v, vp, Tmrt• Temperature scale index• Reference conditions: Walking 4km/h (2,3 met), Tmrt = Ta,
v(10m) = 0,5 m/s, RH = 50%, levelled off at vp = 20 hPa• Fast calculation procedure for operational use• International standard for human biometeorological core
applications (WMO-Guideline, ISO(?))
