(Q58320554)

English

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

scholarly article by Lee Chapman et al published 2 December 2016 in International Journal of Climatology

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scholarly article

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

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 (English)

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urban heat island

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atmospheric sciences

1 reference

based on heuristic

inferred from title

Netatmo Weathermap

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object named as

Lee Chapman

1

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author name string

Cassandra Bell

2

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

Simon Bell

3

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L. Chapman

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

S. Bell

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

publication date

2 December 2016

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1 July 2017

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

International Journal of Climatology

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

37

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

9

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3597-3605

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The Birmingham Urban Climate Laboratory: An Open Meteorological Test Bed and Challenges of the Smart City

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

The International Urban Energy Balance Models Comparison Project: First Results from Phase 1

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Impact of urbanization and land-use change on climate

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

The Helsinki Testbed: A Mesoscale Measurement, Research, and Service Platform

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

The comfort, energy and health implications of London’s urban heat island

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Crowdsourcing for climate and atmospheric sciences: current status and future potential

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Sensors and the city: a review of urban meteorological networks

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Crowdsourcing urban air temperatures from smartphone battery temperatures

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Quantifying urban heat island effects and human comfort for cities of variable size and urban morphology in the Netherlands

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

The urban heat island and its impact on heat waves and human health in Shanghai

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK.

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Derivation of Birmingham's summer surface urban heat island from MODIS satellite images

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

A Low-Cost Wireless Temperature Sensor: Evaluation for Use in Environmental Monitoring Applications

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

The development of a heat wave vulnerability index for London, United Kingdom

1 reference

https://api.crossref.org/works/10.1002%2FJOC.4940

21 January 2018

Identifiers

10.1002/JOC.4940

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

2017IJCli..37.3597C

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Microsoft Academic ID

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

Semantic Scholar corpus ID

1 reference

https://www.semanticscholar.org/paper/a64c85c4346e54b8734449429f2eba339e039ce6

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