How can we use MODIS land surface temperature to validate long-term urban model simulations?

Hu, Leiqiu; Brunsell, Nathaniel A.; Monaghan, Andrew J.; Barlage, Michael; Wilhelmi, Olga

doi:10.1002/2013jd021101

Cited by 62 publications

(49 citation statements)

References 43 publications

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“…Three methods for comparing MODIS LST to HRLDAS T rad are evaluated in Hu et al . [], and the optimal technique is employed for the analysis in the present study. The reader is referred to Hu et al .…”

Section: Methodsmentioning

confidence: 99%

“…The reader is referred to Hu et al . [] for a more thorough description of, and justification for, the data and methodology than is presented here. The MODIS sensor on board the Terra and Aqua satellites provides global coverage of LST four times daily.…”

Section: Methodsmentioning

confidence: 99%

“…A particularly novel aspect of the work is the use of a rigorously tested methodology for comparison of the simulations to the MODIS LST, developed by Hu et al . []. Methods are described in section , results presented in section , and discussion and conclusions provided in section .…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the impact of urban morphology configurations on the accuracy of urban canopy model temperature simulations with MODIS

Monaghan

Brunsell

et al. 2014

JGR Atmospheres

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Simulations of the urban environment contribute to assessments of current and future urban vulnerabilities to extreme heat events. The accuracy of simulations of the urban canopy can be degraded by inaccurate or oversimplified representations of the urban-built environment within models. Using a 10 year (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) series of offline 1 km simulations over Greater Houston with the High-Resolution Land Data Assimilation System (HRLDAS), this study explores the model accuracy gained by progressively increasing the complexity of the urban morphology representation in an urban canopy model. The fidelity of the simulations is primarily assessed by a spatiotemporally consistent comparison of a newly developed HRLDAS radiative temperature variable with remotely sensed estimates of land surface temperature from the Moderate Resolution Imaging Spectroradiometer. The most accurate urban simulations of radiative temperature are yielded from experiments that (1) explicitly specify the urban fraction in each pixel and (2) include irrigation. The former modification yields a gain in accuracy that is larger than for other changes, such as increasing the number of urban land use types. The latter modification (irrigation) substantially reduces simulated temperature biases and increases model precision compared to model configurations that lack irrigation, presumably because watering of lawns, parks, etc. is a common activity that should be represented in urban canopy models (although it is generally not). Ongoing and future efforts to improve urban canopy model simulations may achieve important gains through better representations of urban morphology, as well as processes that affect near-surface energy partitioning within cities, such as irrigation.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Evaluating the impact of urban morphology configurations on the accuracy of urban canopy model temperature simulations with MODIS

Monaghan

Brunsell

et al. 2014

JGR Atmospheres

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“…MOD/MYD11A1 LST is retrieved by the generalized split-window algorithm, which corrects for atmospheric absorption and emission effects and surface emissivity (Wan & Dozier, 1996). Although the atmospheric correction is related to the view angles, the thermal anisotropy is still noticeable after atmospheric correction (Hu et al, 2014). Thus, MOD/MYD11A1 is an angular radiometric temperature (Wan, 2008).…”

Section: Modis Datamentioning

confidence: 99%

A hybrid method combining neighborhood information from satellite data with modeled diurnal temperature cycles over consecutive days

Quan

Chen

Zhan

et al. 2014

Remote Sensing of Environment

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“…While the soil heat flux in rural areas take 5% of the all radiation, in the urban areas, this radiation could take up to 40-50 percent [61]. Larger scale studies that are beyond the scope of this paper used Community Land Model Urban (CLMU) or Community Climate System Model (CCSM) models to connect the mesoscale atmospheric models with the surface with the consideration of the land covers [63][64][65][66][67]. Therefore, one of the important factors that could determine distribution of the order of magnitude orders is the land coverage.…”

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confidence: 99%

Building neighborhood emerging properties and their impacts on multi-scale modeling of building energy and airflows

Srebric

Heidarinejad

Liu

2015

Building and Environment

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How can we use MODIS land surface temperature to validate long-term urban model simulations?

Cited by 62 publications

References 43 publications

Evaluating the impact of urban morphology configurations on the accuracy of urban canopy model temperature simulations with MODIS

Evaluating the impact of urban morphology configurations on the accuracy of urban canopy model temperature simulations with MODIS

A hybrid method combining neighborhood information from satellite data with modeled diurnal temperature cycles over consecutive days

Building neighborhood emerging properties and their impacts on multi-scale modeling of building energy and airflows

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