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Components of near-surface energy balance derived from satellite soundings - Part 2: Noontime latent heat flux

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Components of near-surface energy balance derived from satellite soundings - Part 2 : Noontime latent heat flux. / Mallick, K.; Jarvis, A.; Wohlfahrt, G. et al.

In: Biogeosciences, Vol. 11, No. 24, 22.12.2014, p. 7369-7382.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Mallick, K, Jarvis, A, Wohlfahrt, G, Kiely, G, Hirano, T, Miyata, A, Yamamoto, S & Hoffmann, L 2014, 'Components of near-surface energy balance derived from satellite soundings - Part 2: Noontime latent heat flux', Biogeosciences, vol. 11, no. 24, pp. 7369-7382. https://doi.org/10.5194/bg-11-7369-2014

APA

Mallick, K., Jarvis, A., Wohlfahrt, G., Kiely, G., Hirano, T., Miyata, A., Yamamoto, S., & Hoffmann, L. (2014). Components of near-surface energy balance derived from satellite soundings - Part 2: Noontime latent heat flux. Biogeosciences, 11(24), 7369-7382. https://doi.org/10.5194/bg-11-7369-2014

Vancouver

Mallick K, Jarvis A, Wohlfahrt G, Kiely G, Hirano T, Miyata A et al. Components of near-surface energy balance derived from satellite soundings - Part 2: Noontime latent heat flux. Biogeosciences. 2014 Dec 22;11(24):7369-7382. doi: 10.5194/bg-11-7369-2014

Author

Mallick, K. ; Jarvis, A. ; Wohlfahrt, G. et al. / Components of near-surface energy balance derived from satellite soundings - Part 2 : Noontime latent heat flux. In: Biogeosciences. 2014 ; Vol. 11, No. 24. pp. 7369-7382.

Bibtex

@article{880f4443f0ea46b28c521290d3021196,
title = "Components of near-surface energy balance derived from satellite soundings - Part 2: Noontime latent heat flux",
abstract = "This paper introduces a relatively simple method for recovering global fields of latent heat flux. The method focuses on specifying Bowen ratio estimates through exploiting air temperature and vapour pressure measurements obtained from infrared soundings of the AIRS (Atmospheric Infrared Sounder) sensor onboard NASA's Aqua platform. Through combining these Bowen ratio retrievals with satellite surface net available energy data, we have specified estimates of global noontime surface latent heat flux at the 1 degrees x 1 degrees scale. These estimates were provisionally evaluated against data from 30 terrestrial tower flux sites covering a broad spectrum of biomes. Taking monthly average 13: 30 data for 2003, this revealed promising agreement between the satellite and tower measurements of latent heat flux, with a pooled root-mean-square deviation of 79Wm(-2), and no significant bias. However, this success partly arose as a product of the underspecification of the AIRS Bowen ratio compensating for the underspecification of the AIRS net available energy, suggesting further refinement of the approach is required. The error analysis suggested that the landscape level variability in enhanced vegetation index (EVI) and land surface temperature contributed significantly to the statistical metric of the predicted latent heat fluxes.",
keywords = "REMOTE-SENSING DATA, CONVECTIVE BOUNDARY-LAYER, SOUTHERN GREAT-PLAINS, CLEAR-SKY DAYS, SOIL-MOISTURE, WATER-VAPOR, CARBON-DIOXIDE, BOWEN-RATIO, EVAPOTRANSPIRATION ALGORITHM, CLOSURE PROBLEM",
author = "K. Mallick and A. Jarvis and G. Wohlfahrt and G. Kiely and T. Hirano and A. Miyata and S. Yamamoto and L. Hoffmann",
year = "2014",
month = dec,
day = "22",
doi = "10.5194/bg-11-7369-2014",
language = "English",
volume = "11",
pages = "7369--7382",
journal = "Biogeosciences",
issn = "1726-4170",
publisher = "Copernicus Gesellschaft mbH",
number = "24",

}

RIS

TY - JOUR

T1 - Components of near-surface energy balance derived from satellite soundings - Part 2

T2 - Noontime latent heat flux

AU - Mallick, K.

AU - Jarvis, A.

AU - Wohlfahrt, G.

AU - Kiely, G.

AU - Hirano, T.

AU - Miyata, A.

AU - Yamamoto, S.

AU - Hoffmann, L.

PY - 2014/12/22

Y1 - 2014/12/22

N2 - This paper introduces a relatively simple method for recovering global fields of latent heat flux. The method focuses on specifying Bowen ratio estimates through exploiting air temperature and vapour pressure measurements obtained from infrared soundings of the AIRS (Atmospheric Infrared Sounder) sensor onboard NASA's Aqua platform. Through combining these Bowen ratio retrievals with satellite surface net available energy data, we have specified estimates of global noontime surface latent heat flux at the 1 degrees x 1 degrees scale. These estimates were provisionally evaluated against data from 30 terrestrial tower flux sites covering a broad spectrum of biomes. Taking monthly average 13: 30 data for 2003, this revealed promising agreement between the satellite and tower measurements of latent heat flux, with a pooled root-mean-square deviation of 79Wm(-2), and no significant bias. However, this success partly arose as a product of the underspecification of the AIRS Bowen ratio compensating for the underspecification of the AIRS net available energy, suggesting further refinement of the approach is required. The error analysis suggested that the landscape level variability in enhanced vegetation index (EVI) and land surface temperature contributed significantly to the statistical metric of the predicted latent heat fluxes.

AB - This paper introduces a relatively simple method for recovering global fields of latent heat flux. The method focuses on specifying Bowen ratio estimates through exploiting air temperature and vapour pressure measurements obtained from infrared soundings of the AIRS (Atmospheric Infrared Sounder) sensor onboard NASA's Aqua platform. Through combining these Bowen ratio retrievals with satellite surface net available energy data, we have specified estimates of global noontime surface latent heat flux at the 1 degrees x 1 degrees scale. These estimates were provisionally evaluated against data from 30 terrestrial tower flux sites covering a broad spectrum of biomes. Taking monthly average 13: 30 data for 2003, this revealed promising agreement between the satellite and tower measurements of latent heat flux, with a pooled root-mean-square deviation of 79Wm(-2), and no significant bias. However, this success partly arose as a product of the underspecification of the AIRS Bowen ratio compensating for the underspecification of the AIRS net available energy, suggesting further refinement of the approach is required. The error analysis suggested that the landscape level variability in enhanced vegetation index (EVI) and land surface temperature contributed significantly to the statistical metric of the predicted latent heat fluxes.

KW - REMOTE-SENSING DATA

KW - CONVECTIVE BOUNDARY-LAYER

KW - SOUTHERN GREAT-PLAINS

KW - CLEAR-SKY DAYS

KW - SOIL-MOISTURE

KW - WATER-VAPOR

KW - CARBON-DIOXIDE

KW - BOWEN-RATIO

KW - EVAPOTRANSPIRATION ALGORITHM

KW - CLOSURE PROBLEM

U2 - 10.5194/bg-11-7369-2014

DO - 10.5194/bg-11-7369-2014

M3 - Journal article

VL - 11

SP - 7369

EP - 7382

JO - Biogeosciences

JF - Biogeosciences

SN - 1726-4170

IS - 24

ER -