Surface Temperature of the Planet Earth from Satellite Data

Sobrino, José A.; Julien, Y.; García-Monteiro, Susana

doi:10.3390/rs12020218

Cited by 54 publications

(49 citation statements)

References 28 publications

(28 reference statements)

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“…The current climate change has multiple negative impacts on the physical planet Earth's environment. It affects the frequency and severity of extreme events and natural disasters [1,4,[6][7][8][9][10][11][12][13]19].…”

Section: Physical Planet Earth's Environmentmentioning

confidence: 99%

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Impact of Climate Change on Life

Heshmati¹

2021

Environmental Issues and Sustainable Development

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Climate is changing in an accelerating pace. Climate change occurs as a result of an imbalance between incoming and outgoing radiation in the atmosphere. The global mean temperatures may increase up to 5.4°C by 2100. Climate change is mainly caused by humans, especially through increased greenhouse gas emissions. Climate change is recognized as a serious threat to ecosystem, biodiversity, and health. It is associated with alterations in the physical environment of the planet Earth. Climate change affects life around the globe. It impacts plants and animals, with consequences for the survival of the species. In humans, climate change has multiple deleterious consequences. Climate change creates water and food insecurity, increased morbidity/mortality, and population movement. Vulnerable populations (e.g., children, elderly, indigenous, and poor) are disproportionately affected. Personalized adaptation to the consequences of climate change and preventive measures are key challenges for the society. Policymakers must implement the appropriate strategies, especially in the vulnerable populations.

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Section: Physical Planet Earth's Environmentmentioning

confidence: 99%

“…The present global mean temperature is around 15.0°C. Currently, the surface temperatures are rising by approximately 0.2°C per decade [6]. According to the Intergovernmental Panel on Climate Change (IPCC) and based on different emissions scenarios, there will be a rise in global mean temperatures of 0.9 to 5.4°C by 2100 [4].…”

Section: Temperaturementioning

confidence: 99%

Impact of Climate Change on Life

Heshmati¹

2021

Environmental Issues and Sustainable Development

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“…There has been a plethora of research aimed at interpolating surface air temperature at various spatiotemporal scales ( Hutchinson, 1991 ; Jarvis & Stuart, 2001b ; Jeffrey et al, 2001 ; Jones, Wang & Fawcett, 2009 ; Xu et al, 2018 ). This is in addition to surface temperature estimated from satellite data ( Mao et al, 2017 ; Sobrino, Julien & García-Monteiro, 2020 ). Or from regional reanalysis of global circulation models at high spatiotemporal resolutions ( Bollmeyer et al, 2015 ; Su et al, 2019 ).…”

Section: Introductionmentioning

confidence: 96%

A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia

Webb¹,

Minasny²

2020

PeerJ

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Surface air temperature (Ta) required for real-time environmental modelling applications should be spatially quantified to capture the nuances of local-scale climates. This study created near real-time air temperature maps at a high spatial resolution across Australia. This mapping is achieved using the thin plate spline interpolation in concert with a digital elevation model and ‘live’ recordings garnered from 534 telemetered Australian Bureau of Meteorology automatic weather station (AWS) sites. The interpolation was assessed using cross-validation analysis in a 1-year period using 30-min interval observation. This was then applied to a fully automated mapping system—based in the R programming language—to produce near real-time maps at sub-hourly intervals. The cross-validation analysis revealed broad similarities across the seasons with mean-absolute error ranging from 1.2 °C (autumn and summer) to 1.3 °C (winter and spring), and corresponding root-mean-square error in the range 1.6 °C to 1.7 °C. The R2 and concordance correlation coefficient (Pc ) values were also above 0.8 in each season indicating predictions were strongly correlated to the validation data. On an hourly basis, errors tended to be highest during the late afternoons in spring and summer from 3 pm to 6 pm, particularly for the coastal areas of Western Australia. The mapping system was trialled over a 21-day period from 1 June 2020 to 21 June 2020 with majority of maps completed within 28-min of AWS site observations being recorded. All outputs were displayed in a web mapping application to exemplify a real-time application of the outputs. This study found that the methods employed would be highly suited for similar applications requiring real-time processing and delivery of climate data at high spatiotemporal resolutions across a considerably large land mass.

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“…There has been a plethora of research aimed at interpolating surface air temperature at various spatiotemporal scales (Hutchinson 1991;Jarvis & Stuart 2001b;Jeffrey et al 2001;Jones et al 2009;Xu et al 2018). This is in addition to surface temperature estimated from satellite data (Mao et al 2017;Sobrino et al 2020). Or from regional reanalysis of global circulation models at high spatiotemporal resolutions (Bollmeyer et al 2015;Su et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Peer Review #2 of "A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia (v0.1)"

2020

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Surface air temperature (T a) required for real-time environmental modelling applications should be spatially quantified to capture the nuances of local-scale climates. This study created near real-time air temperature maps at a high spatial resolution across Australia. This mapping is achieved using the thin plate spline (TPS) interpolation in concert with a digital elevation model and 'live' recordings garnered from 534 telemetered Australian Bureau of Meteorology (BoM) automatic weather station (AWS) sites. The interpolation was assessed using cross-validation analysis in a 1-year period using 30-minute interval observation. This was then applied to a fully automated mapping system-based in the R programming language-to produce near real-time maps at sub-hourly intervals. The cross-validation analysis revealed broad similarities across the seasons with meanabsolute error ranging from 1.2°C (autumn and summer) to 1.3°C (winter and spring), and corresponding root-mean-square error in the range 1.6°C to 1.7°C. The R 2 and concordance correlation coefficient (P c) values were also above 0.8 in each season indicating predictions were strongly correlated to the validation data. On an hourly basis, errors tended to be highest during the late afternoons in spring and summer from 3 pm to 6 pm (AEST), particularly for the coastal areas of Western Australia. The mapping system was trialed over a 21-day period from 1 June 2020 to 21 June 2020 with majority of maps completed within 28-minutes of AWS site observations being recorded. All outputs were displayed in a web mapping application to exemplify a real-time application of the outputs. This study found that the methods employed would be highly suited for similar applications requiring real-time processing and delivery of climate data at high spatiotemporal resolutions across a considerably large land mass.

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Surface Temperature of the Planet Earth from Satellite Data

Cited by 54 publications

References 28 publications

Impact of Climate Change on Life

Impact of Climate Change on Life

A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia

Peer Review #2 of "A digital mapping application for quantifying and displaying air temperatures at high spatiotemporal resolutions in near real-time across Australia (v0.1)"

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