Abstract
Sensing and measuring meteorological and physiological parameters of humans, animals, and plants are necessary to understand the complex interactions that occur between atmospheric processes and the health of the living organisms. Advanced sensing technologies have provided both meteorological and biological data across increasingly vast spatial, spectral, temporal, and thematic scales. Information and communication technologies have reduced barriers to data dissemination, enabling the circulation of information across different jurisdictions and disciplines. Due to the advancement and rapid dissemination of these technologies, a review of the opportunities for sensing the health effects of weather and climate change is necessary. This paper provides such an overview by focusing on existing and emerging technologies and their opportunities and challenges for studying the health effects of weather and climate change on humans, animals, and plants.
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Abubakar GA, Wang K, Shahtahamssebi A, Xue X, Belete M, Gudo AJA, Mohamed Shuka KA, Gan M (2020) Mapping maize fields by using multi-temporal Sentinel-1A and Sentinel-2A images in Makarfi, Northern Nigeria, Africa. Sustainability 12(6):2539. https://doi.org/10.3390/su12062539
Adams SM, Levitan ML, Friedland CJ (2013) High resolution imagery collection utilizing unmanned aerial vehicles (UAVs) for post-disaster studies. In Advances in Hurricane Engineering: Learning from Our Past (pp. 777–793)
Aguilar R, Zurita-Milla R, Izquierdo-Verdiguier E, de By RA (2018) A cloud-based multi-temporal ensemble classifier to map smallholder farming systems. Remote Sens 10(5):729. https://doi.org/10.3390/rs10050729
Alados-Arboledas L, Batlles FJ, Olmo FJ (1995) Solar radiation resource assessment by means of silicon cells. Sol Energy 54(3):183–191. https://doi.org/10.1016/0038-092X(94)00116-U
Ali-Toudert F, Mayer H (2007) Thermal comfort in an east-west oriented street canyon in Freiburg (Germany) under hot summer conditions. Theor Appl Climatol 87(1–4):223–237. https://doi.org/10.1007/s00704-005-0194-4
Amer SA, Keefer TO, Weltz MA, Goodrich DC, Bach LB (1994) Soil moisture sensors for continuous monitoring. JAWRA J Am Wat Res Assoc 30(1):69–83. https://doi.org/10.1111/j.1752-1688.1994.tb03274.x
Aminipouri M, Knudby AJ, Krayenhoff ES, Zickfeld K, Middel A (2019) Modelling the impact of increased street tree cover on mean radiant temperature across Vancouver’s local climate zones. Urban For Urban Greening 39:9–17. https://doi.org/10.1016/j.ufug.2019.01.016
Anderson V, Gough WA (2020) Evaluating the potential of nature-based solutions to reduce ozone, nitrogen dioxide, and carbon dioxide through a multi-type green infrastructure study in Ontario, Canada. City Environ Interact 6:100043. https://doi.org/10.1016/j.cacint.2020.100043
Anderson MC, Bland WL, Norman JM, Diak GD (2001) Canopy wetness and humidity prediction using satellite and synoptic-scale meteorological observations. Plant Dis 85(9):1018–1026. https://doi.org/10.1094/PDIS.2001.85.9.1018
Aniley AA, Kumar N, Kumar A (2017) Soil temperature sensors in agriculture and the role of nanomaterials in temperature sensors preparation. Int J Eng Manuf Sci 7(2):363–372
Antonelli M, Donelli D (2018) Effects of balneotherapy and spa therapy on levels of cortisol as a stress biomarker: a systematic review. Int J Biometeorol 62(6):913–924. https://doi.org/10.1007/s00484-018-1504-8
Arellano B, Cladera JR (2016) Identifying urban heat island: the Barcelona case. 11th Congress Virtual City and Territory, 798–812. https://upcommons.upc.edu/handle/2117/91015
Aryal A, Becerik-Gerber B (2019) A comparative study of predicting individual thermal sensation and satisfaction using wrist-worn temperature sensor, thermal camera and ambient temperature sensor. Build Environ 160:106223. https://doi.org/10.1016/j.buildenv.2019.106223
ASHRAE (2001) Handbook of Fundamentals. American Society of Heating, Refrigerating and Air-Conditioning Engineers Inc
Barreto CD, Alves FV, de Oliveira Ramos CEC, Leite MCP, Leite LC, Karvatte Junior N (2020) Infrared thermography for evaluation of the environmental thermal comfort for livestock. Int J Biometeorol 64(5):881–888. https://doi.org/10.1007/s00484-020-01878-0
Baumhardt RL, Lascano RJ, Evett SR (2000) Soil material, temperature, and salinity effects on calibration of multisensor capacitance probes. Soil Sci Soc Am J 64(6):1940–1946. https://doi.org/10.2136/sssaj2000.6461940x
Bechtel B, Demuzere M, Mills G, Zhan W, Sismanidis P, Small C, Voogt J (2019) SUHI analysis using local climate zones—a comparison of 50 cities. Urban Clim 28:100451. https://doi.org/10.1016/j.uclim.2019.01.005
Bell PA, Greene TC, Fisher JD, Baum A (2001) Environmental psychology, 5th edn. Harcourt College Publishers, Fort Worth
Berard RG, Thurtell GW (1990) Soil temperature measurements. Remote Sens Rev 5(1):293–299. https://doi.org/10.1080/02757259009532136
Bhattacharyya M, Pal MS, Sharma YK, Majumdar D (2008) Changes in sleep patterns during prolonged stays in Antarctica. Int J Biometeorol 52(8):869–879. https://doi.org/10.1007/s00484-008-0183-2
Bröde P, Fiala D, Błażejczyk K, Holmér I, Jendritzky G, Kampmann B, Tinz B, Havenith G (2012) Deriving the operational procedure for the Universal Thermal Climate Index. Int J Biometeorol 56(3):481–494. https://doi.org/10.1007/s00484-011-0454-1
Brown R, Gillespie T (1995) Microclimatic landscape design: creating thermal comfort and energy efficiency. Wiley
Brumbaugh WG, Petty JD, Huckins JN, Manahan SE (2002) Stabilized liquid membrane device (SLMD) for the passive, integrative sampling of labile metals in water. Water Air Soil Pollut 133(1–4):109–119. https://doi.org/10.1023/A:1012923529742
Burud I, Vukovic M, Thiis TK, Gaitani N (2018) Urban surfaces studied by VIS/NIR imaging from UAV: possibilities and limitations. In K. Themistocleous, D. G. Hadjimitsis, S. Michaelides, V. Ambrosia, & G. Papadavid (Eds.), Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018) 1077316. 10.1117/12.2326057
Caluya NR, Santos MEC (2019) Kantenbouki VR: A virtual reality authoring tool for learning localized weather reporting. 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings 866–867. https://doi.org/10.1109/VR.2019.8798216
Camerro LZ, Maia ASC, Neto MC, de Melo Costa CC, Castro PA (2016) Thermal equilibrium responses in Guzerat cattle raised under tropical conditions. J. Therm. Biol. 60:213–221. https://doi.org/10.1016/j.jtherbio.2016.07.007
Campbell JE (1990) Dielectric Properties and influence of conductivity in soils at one to fifty megahertz. Soil Sci Soc Am. J 54(2):332–341. https://doi.org/10.2136/sssaj1990.03615995005400020006x
Cavicchioli R, Ripple WJ, Timmis KN, Azam F, Bakken LR, Baylis M et al (2019) Scientists’ warning to humanity: microorganisms and climate change. Nat Rev Microbiol 17(9):569–586. https://doi.org/10.1038/s41579-019-0222-5
Celec P, Smreková L, Ostatníková D, Čabajová Z, Hodosy J, Kúdela M (2009) Lack of evidence for meteorological effects on infradian dynamics of testosterone. Int J Biometeorol 53(5):409–413. https://doi.org/10.1007/s00484-009-0225-4
Chapman L (2015) Urban Meteorological Networks: An urban climatologists panacea? 9th International Conference on Urban Climate. Toulouse, France
Chapman L, Bell C, Bell S (2017) Can the crowdsourcing data paradigm take atmospheric science to a new level? A case study of the urban heat island of London quantified using Netatmo weather stations. Int J Climatol 37(9):3597–3605. https://doi.org/10.1002/joc.4940
Chen L, Ng E (2012) Outdoor thermal comfort and outdoor activities: a review of research in the past decade. Cities 29(2):118–125. https://doi.org/10.1016/j.cities.2011.08.006
Chen JM, Rich PM, Gower ST, Norman JM, Plummer S (1997) Leaf area index of boreal forests: Theory, techniques, and measurements. J Geophys Res Atmos 102(D24):29429–29443. https://doi.org/10.1029/97JD01107
Chen CE, Zhang H, Jones KC (2012) A novel passive water sampler for in situ sampling of antibiotics. J Environ Monit 14(6):1523–1530. https://doi.org/10.1039/c2em30091e
Chianucci F, Cutini A (2013) Estimation of canopy properties mortality to the urban heat island during heatwaves in deciduous forests with digital hemispherical and cover photography. Agric For Meteorol 168:130–139. https://doi.org/10.1016/j.agrformet.2012.09.002
Chrysoulakis N, Grimmond S, Feigenwinter C, Lindberg F, Gastellu-Etchegorry JP, Marconcini M et al (2018) Urban energy exchanges monitoring from space. Sci Rep 8(1):1–8. https://doi.org/10.1038/s41598-018-29873-x
Clinton N, Yu L, Gong P (2015) Geographic stacking: Decision fusion to increase global land cover map accuracy. ISPRS J Photogramm Remote Sens 103:57–65. https://doi.org/10.1016/j.isprsjprs.2015.02.010
Copernicus (2020) Thermal comfort indices derived from ERA5 reanalysis. 10.24381/cds.553b7518
Cowtan K, Way RG (2014) Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends. Q J R Meteorolog Soc 140(683):1935–1944. https://doi.org/10.1002/qj.2297
Cristale J, Katsoyiannis A, Chen C, Jones KC, Lacorte S (2013) Assessment of flame retardants in river water using a ceramic dosimeter passive sampler. Environ Pollut 172:163–169. https://doi.org/10.1016/j.envpol.2012.08.014
Crow G, Wiles R, Heath S, Charles V (2006) Research ethics and data quality: the implications of informed consent. Int J Soc Res Method: Theor Pract 9(2):83–95. https://doi.org/10.1080/13645570600595231
De Longueville B, Annoni A, Schade S, Ostlaender N, Whitmore C (2010) Digital Earth’s nervous system for crisis events: real-time sensor web enablement of volunteered geographic information. Int J Digital Earth 3(3):242–259. https://doi.org/10.1080/17538947.2010.484869
de Melo Costa CC, Maia ASC, Nascimento ST, Nascimento CCN, Neto MC, de França Carvalho Fonsêca V (2018) Thermal balance of Nellore cattle. Int J Biometeorol 62(5):723–731. https://doi.org/10.1007/s00484-017-1349-6
de Vos L, Leijnse H, Overeem A, Uijlenhoet R (2017) The potential of urban rainfall monitoring with crowdsourced automatic weather stations in Amsterdam. Hydrol Earth Syst Sci 21:765–777. https://doi.org/10.5194/hess-21-765-2017
de Wagenaar B, Geijs DJ, de Boer H, Bomer JG, Olthuis W, van den Berg A, Segerink LI (2016) Spermometer: electrical characterization of single boar sperm motility. Fertil. Steril., 106(3):773–780.e6. https://doi.org/10.1016/j.fertnstert.2016.05.008
Delyukov A, Gorgo Y, Cornélissen G, Otsuka K, Halberg F (2001) Natural environmental associations in a 50-day human electrocardiogram. Int J Biometeorol 45(2):90–99. https://doi.org/10.1007/s004840100086
Di Napoli C, Barnard C, Prudhomme C, Cloke HL, Pappenberger F (2020) ERA5-HEAT: a global gridded historical dataset of human thermal comfort indices from climate reanalysis. Geoscience Data Journal (in press). https://doi.org/10.1002/gdj3.102
Dias D, Paulo Silva Cunha J (2018) Wearable Health Devices—Vital Sign Monitoring, Systems and Technologies. Sens 18(8):2414. https://doi.org/10.3390/s18082414
Diaz Andrade A, Techatassanasoontorn AA (2020) Digital enforcement: rethinking the pursuit of a digitally-enabled society. Inform Syst J (in press). https://doi.org/10.1111/isj.12306
Dorigo WA, Zurita-Milla R, de Wit AJW, Brazile J, Singh R, Schaepman ME (2007) A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. Int J Appl Earth Obs Geoinf 9(2):165–193. https://doi.org/10.1016/j.jag.2006.05.003
Dorren LKA, Maier B, Seijmonsbergen AC (2003) Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification. For Ecol Manage 183(1–3):31–46. https://doi.org/10.1016/S0378-1127(03)00113-0
Dougherty KA, Chow M, Kenney WL (2009) Responses of lean and obese boys to repeated summer exercise in the heat bouts. Med Sci Sports Exercise 41(2):279–289. https://doi.org/10.1249/MSS.0b013e318185d341
Dufrêne E, Bréda N (1995) Estimation of deciduous forest leaf area index using direct and indirect methods. Oecologia 104:156–162. https://doi.org/10.1007/BF00328580
Eng A, Harner T, Pozo K (2014) A prototype passive air sampler for measuring dry deposition of polycyclic aromatic hydrocarbons. Environ Sci Technol Lett 1(1):77–81. https://doi.org/10.1021/ez400044z
Epstein Y, Moran DS (2006) Thermal comfort and the heat stress indices. Ind Health 44(3):388–398. https://doi.org/10.2486/indhealth.44.388
Fan JA, Yeo WH, Su Y, Hattori Y, Lee W, Jung SY, Zhang Y, Liu Z, Cheng H, Falgout L, Bajema M, Coleman T, Gregoire D, Larsen RJ, Huang Y, Rogers JA (2014) Fractal design concepts for stretchable electronics. Nat Commun 5(1):1–8. https://doi.org/10.1038/ncomms4266
Faruque FS (2019) Geospatial technology in environmental health applications. Environmental Monitoring and Assessment 191(suppl 2):333. https://doi.org/10.1007/s10661-019-7444-x
Feichtinger M, de Wit R, Goldenits G, Kolejka T, Hollósi B, Žuvela-Aloise M, Feigl J (2017) Case-study of neighborhood-scale summertime urban air temperature for the City of Vienna using crowd-sourced data. Urban Clim 32:100597. https://doi.org/10.1016/j.uclim.2020.100597
Fenner D, Meier F, Bechtel B, Otto M, Scherer D (2017) Intra and inter local climate zone variability of air temperature as observed by crowdsourced citizen weather stations in Berlin, Germany. Meteorol Z 26(5):525–547. https://doi.org/10.1127/metz/2017/0861
Ferentinos KP, Katsoulas N, Tzounis A, Bartzanas T, Kittas C (2017) Wireless sensor networks for greenhouse climate and plant condition assessment. Biosyst Eng 153:70–81. https://doi.org/10.1016/j.biosystemseng.2016.11.005
Fityus S, Wells T, Huang W (2011) Water content measurement in expansive soils using the neutron probe. Geotech Test J 34(3):102828. https://doi.org/10.1520/GTJ102828
Flammini A, Sisinni E (2014) Wireless sensor networking in the internet of things and cloud computing era. Procedia Eng 87:672–679. https://doi.org/10.1016/j.proeng.2014.11.577
Follett R, Strezov V, Miller-Rushing A, Primack R, Bonney R, Tian H et al (2015) An analysis of citizen science based research: usage and publication patterns. PLoS One 10(11):e0143687. https://doi.org/10.1371/journal.pone.0143687
Fuller A, Hetem RS, Maloney SK, Mitchell D (2014) Adaptation to heat and water shortage in large, arid-zone mammals. Physiology 29(3):159–167. https://doi.org/10.1152/physiol.00049.2013
Gaitani N, Burud I, Thiis T, Santamouris M (2017) High-resolution spectral mapping of urban thermal properties with unmanned aerial vehicles. Build Environ 121:215–224. https://doi.org/10.1016/j.buildenv.2017.05.027
Ganeshkumar R, Sopiha KV, Wu P, Cheah CW, Zhao R (2016) Ferroelectric KNbO3 nanofibers: synthesis, characterization and their application as a humidity nanosensor. Nanotechnol 27(39):395607. https://doi.org/10.1088/0957-4484/27/39/395607
Garcia-Marti I, Zurita-Milla R, Harms MG et al (2018) Using volunteered observations to map human exposure to ticks. Sci Rep 8:15435. https://doi.org/10.1038/s41598-018-33900-2
Gash J, Granier A (2007) A new method of sap flow measurement in tree trucks. Evaporation. IAHS Press, Wallingford.
Geletič J, Lehnert M, Savić S, Milošević D (2019) Inter-/intra-zonal seasonal variability of the surface urban heat island based on local climate zones in three central European cities. Build Environ 156:21–32. https://doi.org/10.1016/j.buildenv.2019.04.011
George K (2020) Theorising machine learning as an alternative pathway for higher education in Africa. Int J Educ Pract 8(2):268–277. 10.18488/journal.61.2020.82.268.277
Giglio L, Descloitres J, Justice CO, Kaufman YJ (2003) An enhanced contextual fire detection algorithm for MODIS. Remote Sens Environ 87(2–3):273–282. https://doi.org/10.1016/S0034-4257(03)00184-6
Gosling SN, Bryce EK, Dixon PG, Gabriel KMA, Gosling EY, Hanes JM et al (2014) A glossary for biometeorology. Int J Biometeorol 58(2):277–308. https://doi.org/10.1007/s00484-013-0729-9
Granier A (1985) Une nouvelle méthode pour la mesure du flux de sève brute dans le tronc des arbres. Ann Sci Forestières 42(2):193–200. https://doi.org/10.1051/forest:19850204
Gruntfest E (2018) Weather and Society: Toward Integrated Approaches. Wile, Hoboken
Hansen MC, Roy DP, Lindquist E, Adusei B, Justice CO, Altstatt A (2008) A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sens Environ 112(5):2495–2513. https://doi.org/10.1016/j.rse.2007.11.012
Hansen J, Ruedy R, Sato M, Lo K (2010) Global surface temperature change. Rev Geophys 48(4):RG4004. https://doi.org/10.1029/2010RG000345
Harbert M, Rosenberg S, Mesa D, Sinha M, Karanjia NP, Nespeca M, Coleman TP (2013) Demonstration of the use of epidermal electronics in neurological monitoring. 42th Annual Meeting of the Child Neurology Society, Austin, Texas.
Hariadi TK, Fadholi Z, Chamim ANN, Utama NA, Prabasari I, Riyadi S (2018) Development of leaf area meter using Open CV for smartphone application. Telkomnika 16(4):1857–1863. https://doi.org/10.12928/TELKOMNIKA.v16i4.8608
Harwatt H (2019) Including animal to plant protein shifts in climate change mitigation policy: a proposed three-step strategy. Clim Policy 19(5):533–541. https://doi.org/10.1080/14693062.2018.1528965
Hass AL, Ellis KN (2019) Using wearable sensors to assess how a heatwave affects individual heat exposure, perceptions, and adaption methods. Int J Biometeorol 63(12):1585–1595. https://doi.org/10.1007/s00484-019-01770-6
Heaviside C, Vardoulakis S, Cai X (2016) Attribution of boreal forests: theory, techniques, and measurements. J Geophys Res Atmos 102:29429–29443. https://doi.org/10.1029/97jd01107
Hentschel AE, Nieuwenhuijzen JA, Bosschieter J, van Splunter AP, Lissenberg-Witte BI, van der Voorn JP et al (2020) Comparative analysis of urine fractions for optimal bladder cancer detection using DNA methylation markers. Cancers 12(4):859. https://doi.org/10.3390/cancers12040859
Hersbach H, Bell B, Berrisford P, Hirahara S, Horányi A, Muñoz-Sabater J, Nicolas J, Peubey C, Radu R, Schepers D, Simmons A (2020) The ERA5 global reanalysis. Q J R Meteorolog Soc 146(730):1999–2049. https://doi.org/10.1002/qj.3803
Hetem RS, de Witt BA, Fick LG, Fuller A, Kerley GIH, Maloney SK, Meyer LCR, Mitchell D (2009) Shearing at the end of summer affects body temperature of free-living Angora goats (Capra aegagrus) more than does shearing at the end of winter. Animal 3:1025–1036. https://doi.org/10.1017/S1751731109004364
Hetem RS, Strauss WM, Fick LG, Maloney SK, Meyer LCR, Shobrak M et al (2012) Activity re-assignment and microclimate selection of free-living Arabian oryx: responses that could minimise the effects of climate change on homeostasis? Zoology 115(6):411–416. https://doi.org/10.1016/j.zool.2012.04.005
Hicks SK, Lascano RJ (1995) Estimation of leaf area index for cotton canopies using the LI-COR LAI-2000 plant canopy analyzer. Agron J 87(3):458–464. https://doi.org/10.2134/agronj1995.00021962008700030011x
Hilhorst MA (2000) A Pore Water Conductivity Sensor. Soil Sci Soc Am J 64(6):1922–1925. https://doi.org/10.2136/sssaj2000.6461922x
Hillel D (2013) Introduction to soil physics. Academic press
Hondula DM, Balling RC, Vanos JK, Georgescu M (2015) Rising temperatures, human health, and the role of adaptation. Curr Clim Change Rep 1(3):144–154. https://doi.org/10.1007/s40641-015-0016-4
Höppe P (1992) A new procedure to determine the mean radiant temperature outdoors. Wetter Leben 44:147–151
Höppe P (1999) The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment. Int J Biometeorol 43(2):71–75. https://doi.org/10.1007/s004840050118
Hosu O, Mirel S, Săndulescu R, Cristea C (2019) Minireview: smart tattoo, microneedle, point-of-care, and phone-based biosensors for medical screening, diagnosis, and monitoring. Anal Lett 52(1):78–92. https://doi.org/10.1080/00032719.2017.1391826
Hungate, BA, Koch GW (2015) Global Change: Biospheric Impacts and Feedbacks. In Encyclopedia of Atmospheric Sciences: Second Edition (pp. 132–140). Elsevier Inc. https://doi.org/10.1016/B978-0-12-382225-3.00472-2
Igathinathane C, Chennakesavulu B, Manohar K, Womac AR, Pordesimo LO (2008) Photovoltaic leaf area meter development and testing. Int J Food Prop 11:53–67. https://doi.org/10.1080/10942910600954739
Iiyama J, Matsushita K, Tanaka N, Kawahira K (2008) Effects of single low-temperature sauna bathing in patients with severe motor and intellectual disabilities. Int J Biometeorol 52(6):431–437. https://doi.org/10.1007/s00484-007-0137-0
Intille S, Haynes C, Maniar D, Ponnada A, Manjourides J (2016) μEMA: microinteraction-based ecological momentary assessment (EMA) using a smartwatch. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1124–1128). https://doi.org/10.1145/2971648.2971717
ISO 7726 (1998) Ergonomics of the thermal environment – instruments for measuring physical quantities. International Organization for Standardization, Geneva
ISO 7726. (2001) Ergonomics of the thermal environment — instruments for measuring physical quantities (Issue 1).
Jayathissa P, Quintana M, Sood T, Narzarian N, Miller C (2019) Is your clock-face cozie? A smartwatch methodology for the in-situ collection of occupant comfort data. J Physics Conf Serie 1343(1):012145. https://doi.org/10.1088/1742-6596/1343/1/012145
Jayathissa P, Quintana M, Abdelrahman M, Miller C (2020) Humans-as-a-sensor for buildings—intensive longitudinal indoor comfort models. Buildings 10(10):174. https://doi.org/10.3390/buildings10100174
Jayawardane NS, Meyer WS, Barrs HD (1984) Moisture measurement in a swelling clay soil using neutron moisture meters. Aust J Soil Res 22(2):109–117. https://doi.org/10.1071/SR9840109
Jean M (1991) Évolution de la température du sol à Kuujjuaq, Québec 1967–1989. Le Climat 9(2):39–48
Jendritzky G, de Dear R, Havenith G (2012) UTCI-Why anaother thermal index? Int J Biometeorol 56(3):421–428. https://doi.org/10.1007/s00484-011-0513-7
Jeon J-W, Han Y-J, Cha S-W, Kim P-R, Kim Y-H, Kim H, Seok G-S, Noh S (2019) Application of the passive sampler developed for atmospheric mercury and its limitation. Atmosphere 10(11):678. https://doi.org/10.3390/atmos10110678
Johansson E, Thorsson S, Emmanuel R, Krüger E (2014) Instruments and methods in outdoor thermal comfort studies – the need for standardization. Urban Clim 10:346–366. https://doi.org/10.1016/j.uclim.2013.12.002
Johansson E, Yahia MW, Arroyo I, Bengs C (2018) Outdoor thermal comfort in public space in warm-humid Guayaquil, Ecuador. Int J Biometeorol 62(3):387–399. https://doi.org/10.1007/s00484-017-1329-x
Jorgensen SE, Nielsen SN (2013) The properties of the ecological hierarchy and their application as ecological indicators. Ecol Indic 28:48–53. https://doi.org/10.1016/j.ecolind.2012.04.010
Kanikowska D, Sugenoya J, Sato M, Shimizu Y, Inukai Y, Nishimura N, Iwase S (2009) Seasonal variation in blood concentrations of interleukin-6, adrenocorticotrophic hormone, metabolites of catecholamine and cortisol in healthy volunteers. Int J Biometeorol 53(6):479–485. https://doi.org/10.1007/s00484-009-0236-1
Kanikowska D, Sugenoya J, Sato M, Shimizu Y, Inukai Y, Nishimura N, Iwase S (2010) Influence of season on plasma antidiuretic hormone, angiotensin II, aldosterone and plasma renin activity in young volunteers. Int J Biometeorol 54(3):243–248. https://doi.org/10.1007/s00484-009-0275-7
Kántor N, Unger J (2011) The most problematic variable in the course of human-biometeorological comfort assessment - the mean radiant temperature. Cent Eur J Geosci 3(1):90–100. https://doi.org/10.2478/s13533-011-0010-x
Kántor N, Lin TP, Matzarakis A (2014) Daytime relapse of the mean radiant temperature based on the six-directional method under unobstructed solar radiation. Int J Biometeorol 58(7):1615–1625. https://doi.org/10.1007/s00484-013-0765-5
Kántor N, Kovács A, Takács Á (2016) Seasonal differences in the subjective assessment of outdoor thermal conditions and the impact of analysis techniques on the obtained results. Int J Biometeorol 60(11):1615–1635. https://doi.org/10.1007/s00484-016-1151-x
Kaplan A, Cane MA, Kushnir Y, Clement AC, Blumenthal MB, Rajagopalan B (1998) Analyses of global sea surface temperature 1856–1991. J Geophys Res C: Oceans 103(C9):18567–18589. https://doi.org/10.1029/97JC01736
Kenny GP, Notley SR, Gagnon D (2017) Direct calorimetry: a brief historical review of its use in the study of human metabolism and thermoregulation. Eur J Appl Physiol 117(9):1765–1785. https://doi.org/10.1007/s00421-017-3670-5
Kesici Çalkan H (2015) Technological change and economic growth. Procedia Soc Behv Sci 195:649–654. https://doi.org/10.1016/j.sbspro.2015.06.174
Khutsoane O, Isong B, Abu-Mahfouz AM (2017) IoT devices and applications based on LoRa/LoRaWAN. Proceedings IECON 2017 - 43rd. Annual Conference of the IEEE Industrial Electronics Society 6107–6112. https://doi.org/10.1109/IECON.2017.8217061
Kim DH, Rogers JA (2008) Stretchable electronics: materials strategies and devices. Adv Mater 20(24):4887–4892. https://doi.org/10.1002/adma.200801788
Kirschbaum D, Watson CS, Rounce DR, Shugar DH, Kargel JS, Haritashya UK et al (2019) The state of remote sensing capabilities of cascading hazards over high mountain Asia. Front Earth Sci 7:197. https://doi.org/10.3389/feart.2019.00197
Klok L, Rood N, Kluck J, Kleerekoper L (2019) Assessment of thermally comfortable urban spaces in Amsterdam during hot summer days. Int J Biometeorol 63(2):129–141. https://doi.org/10.1007/s00484-019-01818-7
Kocakulak M, Butun I (2017) An overview of wireless sensor networks towards internet of things. 2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017. https://doi.org/10.1109/CCWC.2017.7868374
Koziolek M, Grimm M, Bollmann T, Schäfer KJ, Blattner SM, Lotz R, Boeck G, Weitschies W (2019) Characterization of the GI transit conditions in Beagle dogs with a telemetric motility capsule. Eur J Pharm Biopharm 136:221–230. https://doi.org/10.1016/j.ejpb.2019.01.026
Krupp F (2018) How Technology Is Leading Us to New Climate Change Solutions. World Economic Forum. https://www.weforum.org/agenda/2018/08/how-technology-is-driving-new-environmental-solutions/
Kuang W, Liu Y, Dou Y, Chi W, Chen G, Gao C, Yang T, Liu J, Zhang R (2015) What are hot and what are not in an urban landscape: quantifying and explaining the land surface temperature pattern in Beijing, China. Landscape Ecol 30(2):357–373. https://doi.org/10.1007/s10980-014-0128-6
Kuras ER, Hondula DM, Brown-Saracino J (2015) Heterogeneity in individually experienced temperatures (IETs) within an urban neighborhood: insights from a new approach to measuring heat exposure. Int J Biometeorol 59(10):1363–1372. https://doi.org/10.1007/s00484-014-0946-x
Kuras ER, Richardson MB, Calkins MM, Ebi KL, Hess JJ, Kintziger KW, Jagger MA, Middel A, Scott AA, Spector JT, Uejio CK et al (2017) Opportunities and challenges for personal heat exposure research. Environ Health Perspect 125(8):085001. https://doi.org/10.1289/EHP556
Kwak S-Y, Wong MH, Lew TTS, Bisker G, Lee MA, Kaplan A, Dong J, Liu AT, Koman VB, Sinclair R, Hamann C, Strano MS (2017) Nanosensor technology applied to living plant systems. Annu Rev Anal Chem 10(1):113–140. https://doi.org/10.1146/annurev-anchem-061516-045310
Lakshmi V (2013) Remote sensing of soil moisture. ISRN Soil Sci 2013:33. https://doi.org/10.1155/2013/424178
Lee J-B, Bae J-S, Matsumoto T, Yang H-M, Min Y-K (2009) Tropical Malaysians and temperate Koreans exhibit significant differences in sweating sensitivity in response to iontophoretically administered acetylcholine. Int J Biometeorol 53(2):149–157. https://doi.org/10.1007/s00484-008-0197-9
Lee H, Mayer H, Schindler D (2014) Importance of 3-D radiant flux densities for outdoor human thermal comfort on clear-sky summer days in Freiburg, Southwest Germany. Meteorol Z 23(3):315–330. https://doi.org/10.1127/0941-2948/2014/0536
Lehnert M, Tokar V, Jurek M, Geletič J (2020) Summer thermal comfort in Czech cities: measured effects of blue and green features in city centres. Int J Biometeorol (in press). https://doi.org/10.1007/s00484-020-02010-y
Leibovici DG, Williams J, Rosser JF, Hodges C, Chapman C, Higgins C, Jackson MJ (2017) Earth observation for citizen science validation, or citizen science for earth observation validation? The role of quality assurance of volunteered observations. Data 2(4):35. https://doi.org/10.3390/data2040035
Lemonsu A, Viguié V, Daniel M, Masson V (2015) Vulnerability to heat waves: Impact of urban expansion scenarios on urban heat island and heat stress in Paris (France). Urban Clim 14:586–605. https://doi.org/10.1016/j.uclim.2015.10.007
Lenssen NJ, Schmidt GA, Hansen JE, Menne MJ, Persin A, Ruedy R, Zyss D (2019) Improvements in the GISTEMP uncertainty model. J Geophys Res Atmos 124(12):6307–6326. https://doi.org/10.1029/2018JD029522
Lenzholzer S, de Vries S (2020) Exploring outdoor thermal perception—a revised model. Int J Biometeorol 64(2):293–300. https://doi.org/10.1007/s00484-019-01777-z
Leon LR, Helwig BG (2010) Heat stroke: Role of the systemic inflammatory response. J Appl Physiol 109(6):1980–1988. https://doi.org/10.1152/japplphysiol.00301.2010
Leung ACW, Gough WA (2016) Air mass distribution and the heterogeneity of the climate change signal in the Hudson Bay/Foxe Basin region, Canada. Theor Appl Climatol 125(3):583–592. https://doi.org/10.1007/s00704-015-1523-x
Leung ACW, Gough WA, Shi Y (2017) Identifying Frostquakes in Central Canada and Neighbouring Regions in the United States with Social Media (pp. 201–222). Springer, Cham. https://doi.org/10.1007/978-3-319-51629-5_9
Leung ACW, Gough WA, Butler KA (2020a) Changes in fog, ice fog, and low visibility in the Hudson Bay Region: impacts on aviation. Atmosphere 11(2):186. https://doi.org/10.3390/atmos11020186
Leung ACW, Gough WA, Butler KA, Mohsin T, Hewer MJ (2020b) Characterizing observed surface wind speed in the Hudson Bay and Labrador Regions of Canada from an aviation perspective. Int J Biometeorol (in press). https://doi.org/10.1007/s00484-020-02021-9
Ling Q, Huang W, Jarvis P (2011) Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis thaliana. Photosynth Res 107:209–214. https://doi.org/10.1007/s11120-010-9606-0
Liu L, Zhang Y (2011) Urban heat island analysis using the Landsat TM data and ASTER data: a case study in Hong Kong. Remote Sens 3(7):1535–1552. https://doi.org/10.3390/rs3071535
Liu S, Schiavon S, Das HP, Jin M, Spanos CJ (2019) Personal thermal comfort models with wearable sensors. Build Environ 162:106281. https://doi.org/10.1016/j.buildenv.2019.106281
Longo J, Kuras E, Smith H, Hondula DM, Johnston E (2017) Technology use, exposure to natural hazards, and being digitally invisible: implications for policy analytics. Policy Internet 9(1):76–108. https://doi.org/10.1002/poi3.144
Lopez-Tello C, Muthukumar V (2018) Classifying acoustic signals for wildlife monitoring and poacher detection on UAVs. Proceedings - 21st Euromicro Conference on Digital System Design, DSD. 2018:685–690. https://doi.org/10.1109/DSD.2018.00006
Loveday J, Loveday GK, Byrne JJ, Ong BL, Morrison GM (2019) Modified iButtons: a low-cost instrument to measure the albedo of landscape elements. Sustainability 11(24):6896. https://doi.org/10.3390/SU11246896
Lu Y-P, Huang J-W, Lee I-N, Weng R-C, Lin M-Y, Yang J-T, Lin C-T (2019) A portable system to monitor saliva conductivity for dehydration diagnosis and kidney healthcare. Sci Rep 9:14771. https://doi.org/10.1038/s41598-019-51463-8
Mader TL, Gaughan JB, Johnson LJ, Hahn GL (2010) Tympanic temperature in confined beef cattle exposed to excessive heat load. Int J Biometeorol 54(6):629–635. https://doi.org/10.1007/s00484-009-0229-0
Manavvi S, Rajasekar E (2020) Estimating outdoor mean radiant temperature in a humid subtropical climate. Build Environ 171:106658. https://doi.org/10.1016/j.buildenv.2020.106658
Manoli G, Fatichi S, Schläpfer M, Yu K, Crowther TW, Meili N … Zeid EB (2020). Reply to Martilli et al. (2020): Summer average urban-rural surface temperature differences do not indicate the need for urban heat reduction. OSF [preprint]. 10.31219/osf.io/mwpna
Marenco RA, Antezana-Vera SA, Nascimento HCS (2009) Relationship between specific leaf area, leaf thickness, leaf water content and SPAD-502 readings in six Amazonian tree species. Photosynthetica 47(2):184–190. https://doi.org/10.1007/s11099-009-0031-6
Martens SN, Ustin SL, Rousseau RA (1993) Estimation of tree canopy leaf area index by gap fraction analysis. For Ecol Manage 61:91–108. https://doi.org/10.1016/0378-1127(93)90192-P
Martilli A, Roth M, Chow WTL, Demuzere M, Lipson M, Krayenhoff ES, Sailor D, Nazarian N, Voogt J, Wouters H, Middel A, Stewart ID, Bechtel B, Christen A, Hart M (2020) Summer average urban-rural surface temperature differences do not indicate the need for urban heat reduction. OSF [preprint] 10.31219/osf.io/8gnbf
Martínez MA, Andújar JM, Enrique JM (2009) A new and inexpensive pyranometer for the visible spectral range. Sensors 9(6):4615–4634. https://doi.org/10.3390/s90604615
Matin MA, Islam MM (2012) Overview of wireless sensor network. In Wireless Sensor Networks – Technology and Protocols. InTech. https://doi.org/10.5772/49376
Mauree D, Coccolo S, Deschamps L, Loesch P, Becquelin P, Scartezzini JL (2019) Mobile urban micrometeorological monitoring (MUMiM). J Physics Conf Serie 1343(1):012014. https://doi.org/10.1088/1742-6596/1343/1/012014
McGregor GR (2012) Human biometeorology. Prog Phys Geog 36(1):93–109. https://doi.org/10.1177/0309133311417942
Mdhaffar A, Chaari T, Larbi K, Jmaiel M, Freisleben B (2017) IoT-based health monitoring via LoRaWAN. 17th IEEE International Conference on Smart Technologies, EUROCON 2017 - Conference Proceedings, 519–524. https://doi.org/10.1109/EUROCON.2017.8011165
Mehdipoor H, Vanos JK, Zurita-Milla R, Cao G (2017) Short communication: emerging technologies for biometeorology. Int J Biometeorol 61(1):81–88. https://doi.org/10.1007/s00484-017-1399-9
Meier F, Fenner D, Grassmann T, Otto M, Scherer D (2017) Crowdsourcing air temperature from citizen weather stations for urban climate research. Urban Clim 19:170–191. https://doi.org/10.1016/j.uclim.2017.01.006
Michalsky JJ, Harrison L, LeBaron BA (1987) Empirical radiometric correction of a silicon photodiode rotating shadowband pyranometer. Sol Energy 39(2):87–96. https://doi.org/10.1016/S0038-092X(87)80036-1
Middel A, Krayenhoff ES (2019) Micrometeorological determinants of pedestrian thermal exposure during record-breaking heat in Tempe, Arizona: introducing the MaRTy observational platform. Sci Total Environ 687:137–151. https://doi.org/10.1016/j.scitotenv.2019.06.085
Middel A, Selover N, Hagen B, Chhetri N (2016) Impact of shade on outdoor thermal comfort—aseasonal field study in Tempe, Arizona. Int J Biometeorol 60(12):1849–1861. https://doi.org/10.1007/s00484-016-1172-5
Milewska E, Hogg WD (2002) Continuity of climatological observations with automation – temperature and precipitation amounts from AWOS (Automated Weather Observing System). Atmos-Ocean 40(3):333–359. https://doi.org/10.3137/ao.400304
Miller FG (2008) Research on medical records without informed consent. J Law Med Ethics 36(3):560–566. https://doi.org/10.1111/j.1748-720X.2008.304.x
Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(6):e1000097. https://doi.org/10.1371/journal.pmed.1000097
Morán-Navarro R, Courel-Ibáñez J, Martínez-Cava A, Conesa-Ros E, Sánchez-Pay A, Mora-Rodriguez R, Pallarés JG (2019) Validity of skin, oral and tympanic temperatures during exercise in the heat: effects of wind and sweat. Ann Biomed Eng 47(1):317–331. https://doi.org/10.1007/s10439-018-02115-x
Morice CP, Kennedy JJ, Rayner NA, Jones PD (2012) Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set. J Geophys Res Atmos 117:D08101. https://doi.org/10.1029/2011JD017187
Muller CL, Chapman L, Grimmond CSB, Young DT, Cai X (2013) Sensors and the city: a review of urban meteorological networks. Int J Climatol 33(7):1585–1600. https://doi.org/10.1002/joc.3678
Muller CL, Chapman L, Johnston S, Kidd C, Illingworth S, Foody G et al (2015) Crowdsourcing for climate and atmospheric sciences: current status and future potential. Int J Climatol 35(11):3185–3203. https://doi.org/10.1002/joc.4210
Munns WR (2002) Axes of extrapolation in risk assessment. Hum Ecol Risk Assess 8(1):19–29. https://doi.org/10.1080/20028091056692
Nabi F, Jamwal S, Padmanbh K (2020) Wireless sensor network in precision farming for forecasting and monitoring of apple disease: a survey. Int J Inform Tech (in press). https://doi.org/10.1007/s41870-020-00418-8
Napoly A, Grassmann T, Meier F, Fenner D (2018) Development and application of a statistically-based quality control for crowdsourced air temperature data. Front Earth Sci 6:118. https://doi.org/10.3389/feart.2018.00118
Nascimento ST, Maia ASC, Gebremedhin KG, Nascimento CCN (2017) Metabolic heat production and evaporation of poultry. Poultr Sci 96(8):2691–2698. https://doi.org/10.3382/ps/pex094
Nascimento ST, Maia ASC, Fonsêca VFC, Nascimento CCN, Carvalho MD, Pinheiro MG (2019) Physiological responses and thermal equilibrium of Jersey dairy cows in tropical environment. Int J Biometeorol 63(11):1487–1496. https://doi.org/10.1007/s00484-019-01734-w
Nipen TN, Seierstad IA, Lussana C, Kristiansen J, Hov Ø (2020) Adopting citizen observations in operational weather prediction. Bull Am Meteorol Soc 101(1):E43–E57. https://doi.org/10.1175/BAMS-D-18-0237.1
Nocke T, Buschmann S, Donges JF, Marwan N, Schulz HJ, Tominski C (2015) Review: visual analytics of climate networks. Nonlinear Processes Geophys 22(5):545–570. https://doi.org/10.5194/npg-22-545-2015
Ojha VK, Griego D, Kuliga S, Bielik M, Buš P, Schaeben C, Treyer L, Standfest M, Schneider S, König R, Donath D (2019) Machine learning approaches to understand the influence of urban environments on human’s physiological response. Inform Sciences 474:154–169. https://doi.org/10.1016/j.ins.2018.09.061
Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorolog Soc 108(455):1–24. https://doi.org/10.1002/qj.49710845502
Oke TR (1988) The urban energy balance. Prog Phys Geogr: Earth Environ 12(4):471–508. https://doi.org/10.1177/030913338801200401
Oke TR (2006) Towards better scientific communication in urban climate. Theor Appl Climatol 84:179–190. https://doi.org/10.1007/s00704-005-0153-0
Oke TR (2007) Siting and exposure of meteorological instruments at urban sites. In Air Pollution Modeling and Its Application XVII. Springer US, pp 615–631. https://doi.org/10.1007/978-0-387-68854-1_66
Oke TR (2008) Urban observations. Guide to meteorological instruments and methods of observation, Part II of Observing Systems, WMO-No. 8, World Meteorological Organization, II-11-1--II-11-25.
Oke TR, Mills G, Christen A, Voogt J (2017) Urban climates. Cambridge University Press
Okeme JO, Saini A, Yang C, Zhu J, Smedes F, Klánová J, Diamond ML (2016) Calibration of polydimethylsiloxane and XAD-Pocket passive air samplers (PAS) for measuring gas- and particle-phase SVOCs. Atmos Environ 143:202–208. https://doi.org/10.1016/j.atmosenv.2016.08.023
Oliveira A, Lopes A, Niza S (2020) Local climate zones in five southern European cities: an improvedGIS-based classification method based on Copernicus data. Urban Clim 33:100631.10.1016/j.uclim.2020.100631
Orlandini S, Bindi M, Howden M (2009) In: Ebi KL, Burton I, McGregor GR (eds) Plant biometeorology and adaptation BT - biometeorology for adaptation to climate variability and change. Springer Netherlands, Dordrecht, pp 107–129. https://doi.org/10.1007/978-1-4020-8921-3_6
Pandey SK, Singh H (2011) A simple, cost-effective method for leaf area estimation. J Bot 2011:1–6
Paravantis J, Santamouris M, Cartalis C, Efthymiou C, Kontoulis N (2017) Mortality associated withhigh ambient temperatures, heatwaves, and the urban heat island in Athens, Greece. Sustainability 9(4):606. https://doi.org/10.3390/su9040606
Parlow E, Vogt R, Feigenwinter C (2014) The urban heat island of Basel - Seen from differentperspectives. Erde 145(1–2):96–110. 10.12854/erde-145-8
Pasqualotto G, Carraro V, Menardi R, Anfodillo T (2019) Calibration of granier-type (TDP) sap flowprobes by a high precision electronic potometer. Sensors 19(10):2419. https://doi.org/10.3390/s19102419
Peng S, Laza MRC, Garcia FV, Cassman KG (1995) Chlorophyll meter estimates leaf area-basednitrogen concentration of rice. Commun Soil Sci Plant Anal 26(5–6):927–935. https://doi.org/10.1080/00103629509369344
Pereira AMF, Baccari F, Titto EAL, Almeida JAA (2008) Effect of thermal stress on physiologicalparameters, feed intake and plasma thyroid hormones concentration in Alentejana, Mertolenga, Frisian and Limousine cattle breeds. Int J Biometeorol 52(3):199–208. https://doi.org/10.1007/s00484-007-0111-x
Phattaralerphong J, Sathornkich J, Sinoquet H (2006) A photographic gap fraction method for estimating leaf area of isolated trees: assessment with 3D digitized plants. Tree Physiol 26:1123–1136. https://doi.org/10.1093/treephys/26.9.1123
Potchter O, Cohen P, Lin TP, Matzarakis A (2018) Outdoor human thermal perception in various climates: a comprehensive review of approaches, methods and quantification. Sci Total Environ 631–632:390–406. https://doi.org/10.1016/j.scitotenv.2018.02.276
Pulido Barrera P, Rosales Carreón J, de Boer HJ (2018) A multi-level framework for metabolism in urban energy systems from an ecological perspective. Resour Conserv Recycl 132:230–238. https://doi.org/10.1016/j.resconrec.2017.05.005
Rapideye Imagery Product Specifications (2016) Version 6.1
Rautenhaus M, Bottinger M, Siemen S, Hoffman R, Kirby RM, Mirzargar M et al (2018) Visualization in meteorology - a survey of techniques and tools for data analysis tasks. IEEE Trans on Visual Comput Graphics 124(12):3268–3296. https://doi.org/10.1109/TVCG.2017.2779501
Reda HT, Daely PT, Kharel J, Shin SY (2018) On the application of IoT: meteorological information display system based on LoRa wireless communication. IETE Tech Rev 35(3):256–265. https://doi.org/10.1080/02564602.2017.1279988
Reynolds RW, Smith TM, Liu C, Chelton DB, Casey KS, Schlax MG (2007) Daily high-resolution-blended analyses for sea surface temperature. J Clim 20(22):5473–5496. https://doi.org/10.1175/2007JCLI1824.1
Rigo G, Parlow E (2007) Modelling the ground heat flux of an urban area using remote sensing data. Theor Appl Climatol 90(3–4):185–199. https://doi.org/10.1007/s00704-006-0279-8
Rigo G, Parlow E, Oesch D (2006) Validation of satellite observed thermal emission with in-situ measurements over an urban surface. Remote Sens Environ 104(2):201–210. https://doi.org/10.1016/j.rse.2006.04.018
Robinson DA, Campbell CS, Hopmans JW, Hornbuckle BK, Jones SB, Knight R et al (2008) Soil moisture measurement for ecological and hydrological watershed-scale observatories: a review. Vadose Zone J 7(1):358–389. https://doi.org/10.2136/vzj2007.0143
Rohde RA, Hausfather Z (2020) The Berkeley earth land/ocean temperature record. Earth Syst Sci Data Discuss (submitted). https://doi.org/10.5194/essd-2019-259
Rohde R, Muller RA, Jacobsen R, Muller E, Perlmutter S, Rosenfeld A, Wurtele J, Groom D, Wickham C (2013) A new estimate of the average earth surface land temperature spanning 1753 to 2011. Geoinfor Geostat: an overview 1(1). https://doi.org/10.4172/2327-4581.1000101
Runkle JD, Cui C, Fuhrmann C, Stevens S, Del Pinal J, Sugg MM (2019) Evaluation of wearable sensors for physiologic monitoring of individually experienced temperatures in outdoor workers in southeastern U.S. Environ Int 129:229–238. https://doi.org/10.1016/j.envint.2019.05.026
Sabatini F (2017) Setting up and managing automatic weather stations for remote sites monitoring: from Niger to Nepal. In Green Energy and Technology. Springer Verlag, pp 21–39. https://doi.org/10.1007/978-3-319-59096-7_2
Savina M, Schäppi B, Molnar P, Burlando P, Sevruk B (2012) Comparison of a tipping-bucket and electronic weighing precipitation gage for snowfall. Atmos Res 103:45–51. https://doi.org/10.1016/j.atmosres.2011.06.010
Scharf B, Wax LE, Aiken GE, Spiers DE (2008) Regional differences in sweat rate response of steers to short-term heat stress. Int J Biometeorol 52(8):725–732. https://doi.org/10.1007/s00484-008-0165-4
Schneider A, Schuh A, Maetzel FK, Rückerl R, Breitner S, Peters A (2008) Weather-induced ischemia and arrhythmia in patients undergoing cardiac rehabilitation: another difference between men and women. Int J Biometeorol 52(6):535–547. https://doi.org/10.1007/s00484-008-0144-9
Schwartz B, Schreiber M, Yan T (2008) Quantifying field-scale soil moisture using electrical resistivity imaging. J Hydrol 362(3–4):234–246. https://doi.org/10.1016/j.jhydrol.2008.08.027
Šećerov I, Savić S, Milošević D, Marković V, Bajšanski V (2015) Development of an automated urban climate monitoring system in Novi Sad (Serbia). Geogr Pannoica 19(4):174–183. https://doi.org/10.5937/GeoPan1504174S
Seo Y, Powell J, Strauch A, Roberge R, Glen P, Kim J-H (2019) Heat stress assessment during intermittent work under different environmental conditions and clothing combinations of effective wet bulb globe temperature (WBGT). Occup Environ Hygiene 16(7):467–476. https://doi.org/10.1080/15459624.2019.1612523
Shang Y, Hasan M, Ahammed GJ, Li M, Yin H, Zhou J (2019) Applications of nanotechnology in plant growth and crop protection: a review. Molecules 24(14):2558. https://doi.org/10.3390/molecules24142558
Shashua-Bar L, Pearlmutter D, Erell E (2011) The influence of trees and grass on outdoor thermal comfort in a hot-arid environment. Int J Climatol 31(10):1498–1506. https://doi.org/10.1002/joc.2177
Signer C, Ruf T, Arnold W (2011) Hypometabolism and basking: the strategies of Alpine ibex to endure harsh over-wintering conditions. Funct Ecol 25(3):537–547. https://doi.org/10.1111/j.1365-2435.2010.01806.x
Sills DML, Joe PI (2019) From pioneers to practitioners: a short history of severe thunderstorm research and forecasting in Canada. Atmos.-Ocean 57(4):249–261. https://doi.org/10.1080/07055900.2019.1673145
Smith TM, Reynolds RW (2005) A global merged land–air–sea surface temperature reconstruction based on historical observations (1880–1997). J Clim 18(12):2021–2036. https://doi.org/10.1175/JCLI3362.1
Smith TM, Reynolds RW, Peterson TC, Lawrimore J (2008) Improvements to NOAA’s historical merged land–ocean surface temperature analysis (1880–2006). J Clim 21(10):2283–2296. https://doi.org/10.1175/2007JCLI2100.1
Sobrino JA, Julien Y, García-Monteiro S (2020) Surface Temperature of the Planet Earth from Satellite Data. Remote Sens 12(2):218. https://doi.org/10.3390/rs12020218
Sood T, Quintana M, Jayathissa P, AbdelRahman M, Miller C (2019) The SDE4 learning trail: crowdsourcing occupant comfort feedback at a net-zero energy building. J Physics Conf Serie 1343(1):012141. https://doi.org/10.1088/1742-6596/1343/1/012141
Sood T, Janssen P, Miller C (2020) Spacematch: using environmental preferences to match occupants to suitable activity-based workspaces. Front Built Environ 6:113. https://doi.org/10.3389/fbuil.2020.00113
Sorgho R, Franke J, Simboro S, Barteit S, Phalkey R, Sauerborn R (2017) Linking weather data, satellite imagery and field observations to household food production and child undernutrition: an exploratory study in Burkina Faso. Universal J Public Heal 5(5):256–270. 10.13189/ujph.2017.050508
Squintu AA, van der Schrier G, Brugnara Y, Klein Tank A (2019) Homogenization of daily temperature series in the European Climate Assessment & Dataset. Int J Clim 39(3):1243–1261. https://doi.org/10.1002/joc.5874
Stafford JV (2000) Implementing Precision Agriculture in the the 21st Century. J Agr Eng Res 76(3):267–275. https://doi.org/10.1006/jaer.2000.0577
Steenhuis HJ, de Bruijn EJ (2012) Technology and economic development: a literature review. Int J Innovation Technol Manage 9(5):1250033. https://doi.org/10.1142/S0219877012500332
Stewart ID (2011) A systematic review and scientific critique of methodology in modern urban heat island literature. Int J Clim 31(2):200–217. https://doi.org/10.1002/joc.2141
Stewart ID, Oke TR, Krayenhoff ES (2014) Evaluation of the “local climate zone” scheme using temperature observations and model simulations. Int J Clim 34(4):1062–1080. https://doi.org/10.1002/joc.3746
Suni T, Guenther A, Hansson HC, Kulmala M, Andreae MO, Arneth A, Artaxo P, Blyth E, Brus M, Ganzeveld L, Kabat P, de Noblet-Ducoudré N, Reichstein M, Reissell A, Rosenfeld D, Seneviratne S (2015) The significance of land-atmosphere interactions in the Earth system - iLEAPS achievements and perspectives. Anthropocene 12:69–84. https://doi.org/10.1016/j.ancene.2015.12.001
Suzuki S, Yanagita S, Amemiya S, Kato Y, Kubota N, Ryushi T, Kita I (2008) Effects of negative air ions on activity of neural substrates involved in autonomic regulation in rats. Int J Biometeorol 52(6):481–489. https://doi.org/10.1007/s00484-007-0143-2
Syvitski JPM, Overeem I, Brakenridge GR, Hannon M (2012) Floods, floodplains, delta plains – a satellite imaging approach. Sediment Geol 267–268:1–14. https://doi.org/10.1016/j.sedgeo.2012.05.014
Tan J, Zheng Y, Tang X et al (2010) The urban heat island and its impact on heat waves and human health in Shanghai. Int J Biometeorol 54:75–84. https://doi.org/10.1007/s00484-009-0256-x
Taniguchi Y, Sugenoya J, Nishimura N, Iwase S, Matsumoto T, Shimizu Y, Inukai Y, Sato M (2011) Contribution of central versus sweat gland mechanisms to the seasonal change of sweating function in young sedentary males and females. Int J Biometeorol 55(2):203–212. https://doi.org/10.1007/s00484-010-0325-1
Teitelbaum E, Chen KW, Meggers F, Guo H, Houchois N, Pantelic J, Rysanek A (2020) Globe thermometer free convection error potentials. Sci Rep 10(1):1–13. https://doi.org/10.1038/s41598-020-59441-1
Thorsson S, Lindberg F, Eliasson I, Holmer B (2007) Different methods for estimating the mean radiant temperature in an outdoor urban setting. Int J Clim 27(14):1983–1993. https://doi.org/10.1002/joc.1537
Traynor C, Foster L (2017) Principles and practice in open science: addressing power and inequality through “situated openness.” Open and Collaborative Science in Development Network. https://ocsdnet.org/principles-and-practice-in-open-science-addressing-power-and-inequality-through-situated-openness/ (accessed June 28, 2020)
Tromp SW (1980) Biometeorology-the impact of the weather and climate on humans and their environment (animals and plants). Heyden & Son Ltd.
Tsuzuki K, Okamoto-Mizuno K, Mizuno K, Iwaki T (2008) Effects of airflow on body temperatures and sleep stages in a warm humid climate. Int J Biometeorol 52(4):261–270. https://doi.org/10.1007/s00484-007-0120-9
Twitter (2020) Terms of service. https://twitter.com/en/tos
van der Helm MW, van der Meer AD, Eijkel JCT, van den Berg A, Segerink LI (2016) Microfluidic organ-on-chip technology for blood-brain barrier research. Tissue Barriers 4(1):e1142493. https://doi.org/10.1080/21688370.2016.1142493
van der Meulen J (2017) Overarching Automated Weather Station (AWS) Issues. Paper presented at the meeting of the WMO International Conference on automatic weather stations, Offenbach Am Main, Germany
van Mierlo H, Johnston JM, Davignon D, Ngo Phong L, Jackson N, Casgrain C (2019, October 28–November 1). WildFireSat – unlocking the potential for a global wildfire monitoring service. 7th International Wildland Fire Conference (WILDFIRE 2019), Campo Grande, Mato Grosso do Sul, Brazil
VDI 3787, 2008. Part 2, Environmental meteorology – methods for the human biometeorological evaluation of climate and air quality for urban and regional planning at regional level; Part I: Climate. Beuth Verlag, Berlin
von Bueren SK, Burkart A, Hueni A, Rascher U, Tuohy MP, Yule IJ (2015) Deploying four optical UAV-based sensors over grassland: challenges and limitations. Biogeosci 12:163–175
Wakabayashi H, Wijayanto T, Lee JY, Hashiguchi N, Saat M, Tochihara Y (2011) Comparison of heat dissipation response between Malaysian and Japanese males during exercise in humid heat stress. Int J Biometeorol 55(4):509–517. https://doi.org/10.1007/s00484-010-0374-5
Wang F, Qin Z, Song C, Tu L, Karnieli A, Zhao S (2015) An improved mono-window algorithm for land surface temperature retrieval from Landsat 8 thermal infrared Sensor Data. Remote Sens 7(4):4268–4289. https://doi.org/10.3390/rs70404268
Weng Q, Fu P, Gao F (2014) Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data. Remote Sens Environ 145:55–67. https://doi.org/10.1016/j.rse.2014.02.003
Whitesides G (2014) Leading scientists discuss converging technologies. Wilson Centre. https://www.wilsoncenter.org/article/leading-scientists-discuss-converging-technologies-0
Wicki A, Parlow E (2017) Multiple regression analysis for unmixing of surface temperature data in an urban environment. Remote Sens 9(7):684. https://doi.org/10.3390/rs9070684
Wicki A, Parlow E, Feigenwinter C (2018) Evaluation and modeling of urban heat island intensity in Basel, Switzerland. Climate 6(3):55. https://doi.org/10.3390/cli6030055
Williams HJ, Taylor LA, Benhamou S, Bijleveld AI, Clay TA, de Grissac S, Demšar U, English HM, Franconi N, Gómez-Laich A, Griffiths RC, Kay WP, Morales JM, Potts JR, Rogerson KF, Rutz C, Spelt A, Trevail AM, Wilson RP, Börger L (2019) Optimising the use of bio-loggers for movement ecology research. J Anim Ecol 89(1):186–206. https://doi.org/10.1111/1365-2656.13094
WMO (2014). Guide to meteorological instruments and methods of observation (WMO-8, updated 2017)
WMO-No. 8 (2008) Guide to meteorological instruments and methods of observation, seventh ed. World Meteorological Organization (WMO)
Wolfger B, Timsit E, Pajor EA, Cook N, Barkema HW, Orsel K (2015) Technical note: accuracy of an ear tag-attached accelerometer to monitor rumination and feeding behavior in feedlot cattle. J Anim Sci 93(6):3164–3168. https://doi.org/10.2527/jas.2014-8802
Wu X, Poorthuis A, Zurita-Milla R, JanKraakf M (2020) An interactive web-based geovisual analytics platform for co-clustering spatio-temporal data. Comput Geosci 137:104420. https://doi.org/10.1016/j.cageo.2020.104420
Xu G, Shi Y, Sun X, Shen W (2019a) Internet of things in marine environment monitoring: a review. Sensors 19(7):1711. https://doi.org/10.3390/s19071711
Xu M, Hong B, Jiang R, An L, Zhang T (2019b) Outdoor thermal comfort of shaded spaces in an urban park in the cold region of China. Build Environ 155:408–420. https://doi.org/10.1016/j.buildenv.2019.03.049
Yahya A (2020) Climate: environmental monitoring using wireless sensor network system. emerging technologies in agriculture, livestock, and climate. Springer International Publishing, pp 67–98. https://doi.org/10.1007/978-3-030-33487-1_3
Yamamoto N, Hashimoto M (2007) Immersion in CO2-rich water containing NaCl diminishes blood pressure fluctuation in anesthetized rats. Int J Biometeorol 52(2):109–116. https://doi.org/10.1007/s00484-007-0102-y
Yerramilli A, Srinivas Challa V, Rao Dodla VB, Myles LT, Pendergrass WR, Vogel CA, Tuluri F, Baham JM, Hughes R, Patrick C, Young J, Swanier S (2012) Simulation of surface ozone pollution in the Central Gulf Coast region during summer synoptic condition using WRF/Chem air quality model. Atmos Pollut Res 3(1):55–71. https://doi.org/10.5094/APR.2012.005
Zhu Y, Zhang S, Li Y, Lu H, Shi K, Niu Z (2019) Social weather: A review of crowdsourcing-assisted meteorological knowledge services through social cyberspace. Geosci Data J 7(1):61–79. https://doi.org/10.1002/gdj3.85
Zribi M, Chahbi A, Shabou M, Lili-Chabaane Z, Duchemin B, Baghdadi N, Amri R, Chehbouni A (2011) Soil surface moisture estimation over a semi-arid region using ENVISAT ASAR radar data for soil evaporation evaluation. Hydrol Earth Syst Sci 15(1):345–358. https://doi.org/10.5194/hess-15-345-2011
Zurita-Milla R, Kaiser G, Clevers JGPW, Schneider W, Schaepman ME (2009) Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics. Remote Sens Environ 113(9):1874–1885. https://doi.org/10.1016/j.rse.2009.04.011
Acknowledgments
The authors would like to acknowledge that the hypothesis for this manuscript was developed at the 3rd international workshop of the International Society of Biometeorology’s Students and New Professionals (SNP) commission group. This SNP workshop was held in Enschede, the Netherlands, in December 2019. Special thanks to Prof. Pablo Fernandez for his participation at the SNP workshop and his mentorship and insight into the discipline. Funding for this workshop was provided by a grant from the International Society of Biometeorology and the S. W. Tromp Foundation. The contributions of Hamed Mehdipoor and Raul Zurita-Milla were supported by the Make It Sense program of the University of Twente.
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All authors contributed to the study conception and design. Material preparation and data collection and analysis were performed by all authors. The first draft of the manuscript was written by Vidya Anderson, Andrew Leung, and Hamed Mehdipoor and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Anderson, V., Leung, A.C.W., Mehdipoor, H. et al. Technological opportunities for sensing of the health effects of weather and climate change: a state-of-the-art-review. Int J Biometeorol 65, 779–803 (2021). https://doi.org/10.1007/s00484-020-02063-z
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DOI: https://doi.org/10.1007/s00484-020-02063-z