Establishing a baseline for thermal stress conditions – A high-resolution radiative perspective
暂无分享,去创建一个
[1] B. Kleinschmit,et al. Mapping Evapotranspirative and Radiative Cooling Services in an Urban Environment , 2022, Sustainable Cities and Society.
[2] F. Pappenberger,et al. Thermofeel: A python thermal comfort indices library , 2022, SoftwareX.
[3] Kelly K. Caylor,et al. Global urban population exposure to extreme heat , 2021, Proceedings of the National Academy of Sciences.
[4] Elliot J. Y. Koh,et al. Quantifying the Effect of Building Shadowing and Cloudiness on Mean Radiant Temperature in Singapore , 2021, Atmosphere.
[5] C. White,et al. BARRA v1.0: kilometre-scale downscaling of an Australian regional atmospheric reanalysis over four midlatitude domains , 2021, Geoscientific Model Development.
[6] J. Vasilescu,et al. A 41‐year bioclimatology of thermal stress in Europe , 2021, International Journal of Climatology.
[7] B. Palella,et al. On the measurement of the mean radiant temperature by means of globes: An experimental investigation under black enclosure conditions , 2021 .
[8] E. S. Krayenhoff,et al. High-Resolution Modelling of Thermal Exposure during a Hot Spell: A Case Study Using PALM-4U in Prague, Czech Republic , 2021, Atmosphere.
[9] M. Kuchcik. Mortality and thermal environment (UTCI) in Poland—long-term, multi-city study , 2020, International Journal of Biometeorology.
[10] Malcolm N. Mistry,et al. A High Spatiotemporal Resolution Global Gridded Dataset of Historical Human Discomfort Indices , 2020 .
[11] A. Brazel,et al. Validation of seasonal mean radiant temperature simulations in hot arid urban climates. , 2020, The Science of the total environment.
[12] Florian Pappenberger,et al. ERA5‐HEAT: A global gridded historical dataset of human thermal comfort indices from climate reanalysis , 2020, Geoscience Data Journal.
[13] S. Perkins‐Kirkpatrick,et al. Increasing trends in regional heatwaves , 2020, Nature Communications.
[14] M. Rautiainen,et al. Spectral composition of shortwave radiation transmitted by forest canopies , 2020, Trees.
[15] C. Gál,et al. Modeling mean radiant temperature in outdoor spaces, A comparative numerical simulation and validation study , 2020 .
[16] F. Pappenberger,et al. Mean radiant temperature from global-scale numerical weather prediction models , 2020, International Journal of Biometeorology.
[17] E. Krüger,et al. Calibrating UTCI’S comfort assessment scale for three Brazilian cities with different climatic conditions , 2020, International Journal of Biometeorology.
[18] V. Shandas,et al. The Effects of Historical Housing Policies on Resident Exposure to Intra-Urban Heat: A Study of 108 US Urban Areas , 2020, Climate.
[19] E. S. Krayenhoff,et al. Micrometeorological determinants of pedestrian thermal exposure during record-breaking heat in Tempe, Arizona: Introducing the MaRTy observational platform. , 2019, The Science of the total environment.
[20] F. Johnston,et al. The Value of Local Heatwave Impact Assessment: A Case-Crossover Analysis of Hospital Emergency Department Presentations in Tasmania, Australia , 2019, International journal of environmental research and public health.
[21] P. Konstantinov,et al. UNIVERSAL THERMAL CLIMATE INDEX (UTCI) APPLIED TO DETERMINE THRESHOLDS FOR TEMPERATURE-RELATED MORTALITY , 2019, Health Risk Analysis.
[22] E. S. Krayenhoff,et al. Urban tree planting to maintain outdoor thermal comfort under climate change: The case of Vancouver's local climate zones , 2019, Building and Environment.
[23] F. Pappenberger,et al. Verification of Heat Stress Thresholds for a Health-Based Heat-Wave Definition , 2019, Journal of Applied Meteorology and Climatology.
[24] Anna Mavrogianni,et al. Assessing population vulnerability towards summer energy poverty: Case studies of Madrid and London , 2019, Energy and Buildings.
[25] M. Luo,et al. Increasing Heat Stress in Urban Areas of Eastern China: Acceleration by Urbanization , 2018, Geophysical Research Letters.
[26] C. White,et al. BARRA v1.0: the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia , 2018, Geoscientific Model Development.
[27] S. Pauleit,et al. Vertical air temperature gradients under the shade of two contrasting urban tree species during different types of summer days. , 2018, The Science of the total environment.
[28] P. Konstantinov,et al. Сardiovascular mortality during heat waves in temperate climate: an association with bioclimatic indices , 2018, International journal of environmental health research.
[29] S. Tong,et al. Heatwave and health events: A systematic evaluation of different temperature indicators, heatwave intensities and durations. , 2018, The Science of the total environment.
[30] M. Nikolopoulou,et al. Thermal sensation and climate: a comparison of UTCI and PET thresholds in different climates , 2018, International Journal of Biometeorology.
[31] Richard de Dear,et al. Individual difference in thermal comfort: A literature review , 2018, Building and Environment.
[32] Cho Kwong Charlie Lam,et al. Effect of long-term acclimatization on summer thermal comfort in outdoor spaces: a comparative study between Melbourne and Hong Kong , 2018, International Journal of Biometeorology.
[33] F. Pappenberger,et al. Assessing heat-related health risk in Europe via the Universal Thermal Climate Index (UTCI) , 2018, International Journal of Biometeorology.
[34] P. Nyman,et al. Evaluating models of shortwave radiation below Eucalyptus canopies in SE Australia , 2017 .
[35] J. Pal,et al. Deadly heat waves projected in the densely populated agricultural regions of South Asia , 2017, Science Advances.
[36] S. Vardoulakis,et al. The Urban Heat Island: Implications for Health in a Changing Environment , 2017, Current Environmental Health Reports.
[37] E. Hawkins,et al. Global risk of deadly heat , 2017 .
[38] Q. Ge,et al. Application of UTCI in China from tourism perspective , 2017, Theoretical and Applied Climatology.
[39] Fredrik Lindberg,et al. Evaluation of Urban Local-Scale Aerodynamic Parameters: Implications for the Vertical Profile of Wind Speed and for Source Areas , 2017, Boundary-Layer Meteorology.
[40] L. Katzschner,et al. Present and projected future mean radiant temperature for three European cities , 2017, International Journal of Biometeorology.
[41] P. Willems,et al. Heat stress increase under climate change twice as large in cities as in rural areas: A study for a densely populated midlatitude maritime region , 2017 .
[42] Nigel J. Tapper,et al. The influence of increasing tree cover on mean radiant temperature across a mixed development suburb in Adelaide, Australia , 2016 .
[43] Yuming Guo,et al. Impact of heatwave on mortality under different heatwave definitions: A systematic review and meta-analysis. , 2016, Environment international.
[44] Andrew J. Young,et al. Human physiological responses to cold exposure: Acute responses and acclimatization to prolonged exposure , 2016, Autonomic Neuroscience.
[45] Lars Johansson,et al. Towards the modelling of pedestrian wind speed using high-resolution digital surface models and statistical methods , 2016, Theoretical and Applied Climatology.
[46] Sotiris Vardoulakis,et al. Changes in population susceptibility to heat and cold over time: assessing adaptation to climate change , 2016, Environmental Health.
[47] F. Lindberg,et al. Influence of ground surface characteristics on the mean radiant temperature in urban areas , 2016, International Journal of Biometeorology.
[48] P. Tait,et al. Limitations to Thermoregulation and Acclimatization Challenge Human Adaptation to Global Warming , 2015, International journal of environmental research and public health.
[49] David Rayner,et al. Mean radiant temperature - A predictor of heat related mortality , 2014 .
[50] K. Oleson,et al. Implementation and comparison of a suite of heat stress metrics within the Community Land Model version 4.5 , 2014 .
[51] F. Lindberg,et al. Transmissivity of solar radiation through crowns of single urban trees—application for outdoor thermal comfort modelling , 2014, Theoretical and Applied Climatology.
[52] M. Morabito,et al. Environmental Temperature and Thermal Indices: What Is the Most Effective Predictor of Heat-Related Mortality in Different Geographical Contexts? , 2014, TheScientificWorldJournal.
[53] Elie Bou-Zeid,et al. Synergistic Interactions between Urban Heat Islands and Heat Waves: The Impact in Cities Is Larger than the Sum of Its Parts* , 2013 .
[54] H. Formayer,et al. The uncertainty of UTCI due to uncertainties in the determination of radiation fluxes derived from numerical weather prediction and regional climate model simulations , 2013, International Journal of Biometeorology.
[55] L. Alexander,et al. Increasing frequency, intensity and duration of observed global heatwaves and warm spells , 2012 .
[56] Ingvar Holmér,et al. Deriving the operational procedure for the Universal Thermal Climate Index (UTCI) , 2012, International Journal of Biometeorology.
[57] P. Weihs,et al. The uncertainty of UTCI due to uncertainties in the determination of radiation fluxes derived from measured and observed meteorological data , 2012, International Journal of Biometeorology.
[58] Y. Epstein,et al. Comparison of UTCI to selected thermal indices , 2011, International Journal of Biometeorology.
[59] Ricardo García-Herrera,et al. The Hot Summer of 2010: Redrawing the Temperature Record Map of Europe , 2011, Science.
[60] János Unger,et al. The most problematic variable in the course of human-biometeorological comfort assessment — the mean radiant temperature , 2011 .
[61] F. Lindberg,et al. Potential changes in outdoor thermal comfort conditions in Gothenburg, Sweden due to climate change: the influence of urban geometry , 2011 .
[62] Fredrik Lindberg,et al. The influence of vegetation and building morphology on shadow patterns and mean radiant temperatures in urban areas: model development and evaluation , 2011 .
[63] Ingvar Holmér,et al. Principles of the New Universal Thermal Climate Index (UTCI) and its Application to Bioclimatic Research in European Scale , 2010 .
[64] S. Hajat,et al. Heat-related mortality: a review and exploration of heterogeneity , 2009, Journal of Epidemiology & Community Health.
[65] F. Lindberg,et al. SOLWEIG 1.0 – Modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings , 2008, International journal of biometeorology.
[66] J. Robine,et al. Death toll exceeded 70,000 in Europe during the summer of 2003. , 2008, Comptes rendus biologies.
[67] James K. Crowley,et al. Spectral reflectance and emissivity features of broad leaf plants: Prospects for remote sensing in the thermal infrared (8.0–14.0 μm) , 2007 .
[68] Hui Zhang,et al. Considering individual physiological differences in a human thermal model , 2001 .
[69] P. Höppe,et al. The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment , 1999, International journal of biometeorology.
[70] H. Mayer,et al. Applications of a universal thermal index: physiological equivalent temperature , 1999, International journal of biometeorology.
[71] Timothy R. Oke,et al. Aerodynamic Properties of Urban Areas Derived from Analysis of Surface Form , 1999 .
[72] Khaled H. Hamed,et al. A modified Mann-Kendall trend test for autocorrelated data , 1998 .
[73] S Hori,et al. Adaptation to heat. , 1995, The Japanese journal of physiology.
[74] P. Steinle,et al. APS2-ACCESS-C2: the first Australian operational NWP convection-permitting model , 2022, Journal of Southern Hemisphere Earth Systems Science.
[75] F. Pappenberger,et al. The Universal Thermal Climate Index as an Operational Forecasting Tool of Human Biometeorological Conditions in Europe , 2021, Applications of the Universal Thermal Climate Index UTCI in Biometeorology.
[76] M. Kuchcik,et al. UTCI applications in practice (methodological questions) , 2021, Geographia Polonica.
[77] M. Kuchcik,et al. The stimuli of thermal environment defined according to UTCI in Poland , 2021 .
[78] Nick Osbaldiston,et al. Seachange in Tasmania: exploring interstate migration into the 'Apple Isle' , 2020 .
[79] E. Vivoni,et al. Tree effects on urban microclimate: Diurnal, seasonal, and climatic temperature differences explained by separating radiation, evapotranspiration, and roughness effects , 2020, Urban Forestry & Urban Greening.
[80] Dongwei Liu,et al. Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services , 2018, Environ. Model. Softw..
[81] J. Kaẑys,et al. The Evaluation of Summer Beaching Conditions on the Baltic Sea Coasts Using the UTCI Index , 2015 .
[82] George Havenith,et al. An introduction to the Universal Thermal Climate Index (UTCI) , 2013 .
[83] George Havenith,et al. UTCI—Why another thermal index? , 2011, International Journal of Biometeorology.
[84] W. Beckman,et al. Diffuse fraction correlations , 1990 .