Artículo

Barraza, V.; Grings, F.; Franco, M.; Douna, V.; Entekhabi, D.; Restrepo-Coupe, N.; Huete, A.; Gassmann, M.; Roitberg, E."Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia" (2019) Agricultural and Forest Meteorology. 268:341-353
Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

In this study, the performance of the combined-source variational data assimilation scheme (CS-VDA) is assessed in detail using in situ heat fluxes (i.e. sensible heat (H) and latent heat (LE)) collected at a Eucalypt forest savanna of Northern Australia (Howard Springs). The CS VDA scheme estimates surface turbulent heat fluxes via assimilation of sequences of land surface temperature (LST) and meteorological data into a surface energy balance model and a dynamic model. The main objectives of this paper were to extend previous studies to a semi-arid ecosystem and to evaluate the potential of using global meteorological forcing data (GMD) to drive the CS VDA model (rather than in-situ meteorological observations). In order to study the new errors associated with the use of GMD, the effects on LE of the uncertainty in air temperature and wind speed (the two key meteorological factors that controls the total estimation error) was quantitatively characterized. Using hourly in-situ measurements as inputs, the daily-averaged LE RMSE daily was 54 W/m 2 , which agrees with the errors previously reported in the literature. As expected, replacing local meteorological data with GMD reduces the performance of the LE estimation (GMA: RMSE daily = 82 W/m 2 , GLDAS: RMSE daily = 151 W/m 2 ). However, LE RMSE values at 8-day temporal scale for GMA are RMSE 8-days = 32 W/m 2 , similar to those reported in this area for other models (MODIS (MOD16A2) and Breathing Earth System Simulator (BESS)). The error propagation analysis indicate that the CS VDA model is very sensitive to uncertainties in wind speed measurements. Moreover, there are large discrepancies between in situ and GMD wind speed. These two factors combined can explain the degradation in LE estimations. In this context, our study is a first step towards the characterization of an operational daily LE estimation scheme using hourly LST observations. © 2019 Elsevier B.V.

Registro:

Documento: Artículo
Título:Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia
Autor:Barraza, V.; Grings, F.; Franco, M.; Douna, V.; Entekhabi, D.; Restrepo-Coupe, N.; Huete, A.; Gassmann, M.; Roitberg, E.
Filiación:Instituto de Astronomía y Física del Espacio (IAFE-UBA-CONICET), Cdad. Universitaria, CABA, Buenos Aires, Argentina
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
School of Life Sciences, University of Technology of Sydney, Sydney, NSW, Australia
Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, United States
Department of Atmospheric and Ocean Sciences, FCEyN, UBA, CABA, Piso 2, Pabellón 2, Cdad. UniversitariaC1428EGA, Argentina
Palabras clave:Latent heat flux; Remote sensing; Savanna; Variational data assimilation; air temperature; data assimilation; deciduous forest; energy balance; land surface; latent heat flux; remote sensing; savanna; semiarid region; surface temperature; wind velocity; Australia; Howard Springs; Northern Territory
Año:2019
Volumen:268
Página de inicio:341
Página de fin:353
DOI: http://dx.doi.org/10.1016/j.agrformet.2019.01.032
Handle:http://hdl.handle.net/20.500.12110/paper_01681923_v268_n_p341_Barraza
Título revista:Agricultural and Forest Meteorology
Título revista abreviado:Agric. For. Meterol.
ISSN:01681923
CODEN:AFMEE
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01681923_v268_n_p341_Barraza

Referencias:

  • Allen, R.G., Pereira, L.S., Raes, D., Smith, M., (1998) Crop Evapotranspiration-Guidelines for Computing Crop Water requiRements-FAO Irrigation and drainage paper 56, 300, p. 6541. , FAO Rome
  • Barraza, V., Restrepo-Coupe, N., Huete, A., Grings, F., Van Gorsel, E., Passive microwave and optical index approaches for estimating surface conductance and evapotranspiration in forest ecosystems (2015) Agric. For. Meteorol., 213, pp. 126-137
  • Barraza, V., Restrepo-Coupe, N., Huete, A., Grings, F., Beringer, J., Cleverly, J., Eamus, D., Estimation of latent heat flux over savannah vegetation across the North Australian Tropical Transect from multiple sensors and global meteorological data (2017) Agric. For. Meteorol., 232, pp. 689-703
  • Bateni, S.M., Entekhabi, D., Relative efficiency of land surface energy balance components (2012) Water Resour. Res., 48
  • Bateni, S.M., Entekhabi, D., Jeng, D.-S., Variational assimilation of land surface temperature and the estimation of surface energy balance components (2013) J. Hydrol. (Amst), 481, pp. 143-156
  • Bohren, C.F., Albrecht, B.A., Atmospheric Thermodynamics, Edición: New. ed. (1998), OUP USA New York; Boussetta, S., Koike, T., Yang, K., Graf, T., Pathmathevan, M., Development of a coupled land–atmosphere satellite data assimilation system for improved local atmospheric simulations (2008) Remote Sens. Environ., 112, pp. 720-734
  • Carlson, T., An overview of the “Triangle method” for estimating surface evapotranspiration and soil moisture from satellite imagery (2007) Sensors, 7, pp. 1612-1629
  • Castelli, F., Entekhabi, D., Caporali, E., Estimation of surface heat flux and an index of soil moisture using adjoint-state surface energy balance (1999) Water Resour. Res., 35, pp. 3115-3125
  • Cleugh, H.A., Leuning, R., Mu, Q., Running, S.W., Regional evaporation estimates from flux tower and MODIS satellite data (2007) Remote Sens. Environ., 106, pp. 285-304
  • Crow, W.T., Kustas, W.P., Utility of assimilating surface radiometric temperature observations for evaporative fraction and heat transfer coefficient retrieval (2005) Bound.-Layer Meteorol., 115, pp. 105-130
  • Gillies, R.R., Kustas, W.P., Humes, K.S., A verification of the'triangle'method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface e (1997) Int. J. Remote Sens., 18, pp. 3145-3166
  • Guerschman, J.P., Van Dijk, A.I.J.M., Mattersdorf, G., Beringer, J., Hutley, L.B., Leuning, R., Pipunic, R.C., Sherman, B.S., Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia (2009) J. Hydrol. (Amst), 369, pp. 107-119
  • Hu, Z., Islam, S., Prediction of ground surface temperature and soil moisture content by the force-restore method (1995) Water Resour. Res., 31, pp. 2531-2539
  • Huntingford, C., Hugo Lambert, F., Gash, J.H., Taylor, C.M., Challinor, A.J., Aspects of climate change prediction relevant to crop productivity (2005) Philos. Trans. R. Soc. B Biol. Sci., 360, pp. 1999-2009
  • Hutley, L.B., Beringer, J., Isaac, P.R., Hacker, J.M., Cernusak, L.A., A sub-continental scale living laboratory: spatial patterns of savanna vegetation over a rainfall gradient in northern Australia (2011) Agric. For. Meteorol., 151, pp. 1417-1428
  • Isaac, P., Cleverly, J., McHugh, I., van Gorsel, E., Ewenz, C., Beringer, J., OzFlux data: network integration from collection to curation (2017) Biogeosciences, 14, pp. 2903-2928
  • Jensen, N.O., Hummelshøj, P., Derivation of canopy resistance for water vapour fluxes over a spruce forest, using a new technique for the viscous sublayer resistance (1995) Agric. For. Meteorol., Biospheric Aspects of the Hydrological Cycle, 73, pp. 339-352
  • Jiang, C., Ryu, Y., Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS) (2016) Remote Sens. Environ., 186, pp. 528-547
  • Kalma, J.D., McVicar, T.R., McCabe, M.F., Estimating land surface evaporation: a review of methods using remotely sensed surface temperature data (2008) Surv. Geophys., 29, pp. 421-469
  • Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Joseph, D., The NCEP/NCAR 40-Year reanalysis project (1996) Bull. Am. Meteorol. Soc., 77, pp. 437-471
  • Kanniah, K.D., Beringer, J., Hutley, L., Exploring the link between clouds, radiation, and canopy productivity of tropical savannas (2011) Agric. For. Meteorol.
  • Kottek, M., Grieser, J., Beck, C., Rudolf, B., Rubel, F., World Map of the Köppen-Geiger climate classification updated (2006) Meteorol. Z., pp. 259-263
  • Li, R., Min, Q., Lin, B., Estimation of evapotranspiration in a mid-latitude forest using the Microwave Emissivity Difference Vegetation Index (EDVI) (2009) Remote Sens. Environ., 113, pp. 2011-2018
  • Liu, D., Song, K., Townshend, J.R.G., Gong, P., Using local transition probability models in Markov random fields for forest change detection (2008) Remote Sens. Environ., 112, pp. 2222-2231
  • McNaughton, K.G., Van Den Hurk, B.J.J.M., A ‘Lagrangian’ revision of the resistors in the two-layer model for calculating the energy budget of a plant canopy (1995) Bound.-Layer Meteorol., 74, pp. 261-288
  • Monteith, J.L., Evaporation from land surfaces: progress in analysis and prediction since 1948 (1985) Advances in Evapotranspiration. Presented at the Proceedings of the ASAE Conference on Evapotranspiration, pp. 4-12
  • Moran, M.S., Jackson, R.D., Assessing the spatial distribution of evapotranspiration using remotely sensed inputs (1991) J. Environ. Qual., 20, p. 725
  • Mu, Q., Heinsch, F.A., Zhao, M., Running, S.W., Development of a global evapotranspiration algorithm based on MODIS and global meteorology data (2007) Remote Sens. Environ., 111, pp. 519-536
  • Nagler, P.L., Scott, R.L., Westenburg, C., Cleverly, J.R., Glenn, E.P., Huete, A.R., Evapotranspiration on western US rivers estimated using the enhanced vegetation index from MODIS and data from eddy covariance and Bowen ratio flux towers (2005) Remote Sens. Environ., 97, pp. 337-351
  • Oke, T.R., Boundary Layer Climates (1988), 2nd ed. Routledge London; Restrepo-Coupe, N., da Rocha, H.R., Hutyra, L.R., da Araujo, A.C., Borma, L.S., Christoffersen, B., Cabral, O.M.R., Saleska, S.R., What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network (2013) Agric. For. Meteorol., 182-183, pp. 128-144
  • Restrepo-Coupe, N., Huete, A., Davies, K., Cleverly, J., Beringer, J., Eamus, D., van Gorsel, E., Meyer, W.S., MODIS vegetation products as proxies of photosynthetic potential: a look across meteorological and biologic driven ecosystem productivity (2015) Biogeosci. Discuss., 12, pp. 19213-19267
  • Rodell, M., Houser, P.R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Toll, D., The global land data assimilation system (2004) Bull. Am. Meteorol. Soc., 85, pp. 381-394
  • Ryu, Y., Baldocchi, D.D., Kobayashi, H., van Ingen, C., Li, J., Black, T.A., Beringer, J., Roupsard, O., Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales (2011) Glob. Biogeochem. Cycles, 25. , GB4017
  • Sabater, J.M., Jarlan, L., Calvet, J.-C., Bouyssel, F., De Rosnay, P., From near-surface to root-zone soil moisture using different assimilation techniques (2007) J. Hydrometeorol., 8, pp. 194-206
  • Schubert, S.D., Rood, R.B., Pfaendtner, J., An assimilated dataset for earth science applications (1993) Bull. Am. Meteorol. Soc., 74, pp. 2331-2342
  • Taylor, J.A., Tulloch, D., Rainfall in the wet-dry tropics: extreme events at Darwin and similarities between years during the period 1870–1983 inclusive (1985) Aust. J. Ecol., 10, pp. 281-295
  • Xu, T., Bateni, S.M., Liang, S., Entekhabi, D., Mao, K., Estimation of surface turbulent heat fluxes via variational assimilation of sequences of land surface temperatures from Geostationary Operational Environmental Satellites (2014) J. Geophys. Res. Atmos., 119 (2014)
  • Xu, T., Bateni, S.M., Margulis, S.A., Song, L., Liu, S., Xu, Z., Partitioning evapotranspiration into soil evaporation and canopy transpiration via a two-source variational data assimilation system (2016) J. Hydrometeorol., 17, pp. 2353-2370
  • Yebra, M., Dennison, P.E., Chuvieco, E., Riaño, D., Zylstra, P., Hunt, E.R., Danson, F.M., Jurdao, S., Remote Sensing of Environment A global review of remote sensing of live fuel moisture content for fi re danger assessment : Moving towards operational products (2013) Remote Sens. Environ., 136, pp. 455-468
  • Zhang, K., Kimball, J.S., Nemani, R.R., Running, S.W., A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006 (2010) Water Resour. Res., 46

Citas:

---------- APA ----------
Barraza, V., Grings, F., Franco, M., Douna, V., Entekhabi, D., Restrepo-Coupe, N., Huete, A.,..., Roitberg, E. (2019) . Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia. Agricultural and Forest Meteorology, 268, 341-353.
http://dx.doi.org/10.1016/j.agrformet.2019.01.032
---------- CHICAGO ----------
Barraza, V., Grings, F., Franco, M., Douna, V., Entekhabi, D., Restrepo-Coupe, N., et al. "Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia" . Agricultural and Forest Meteorology 268 (2019) : 341-353.
http://dx.doi.org/10.1016/j.agrformet.2019.01.032
---------- MLA ----------
Barraza, V., Grings, F., Franco, M., Douna, V., Entekhabi, D., Restrepo-Coupe, N., et al. "Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia" . Agricultural and Forest Meteorology, vol. 268, 2019, pp. 341-353.
http://dx.doi.org/10.1016/j.agrformet.2019.01.032
---------- VANCOUVER ----------
Barraza, V., Grings, F., Franco, M., Douna, V., Entekhabi, D., Restrepo-Coupe, N., et al. Estimation of latent heat flux using satellite land surface temperature and a variational data assimilation scheme over a eucalypt forest savanna in Northern Australia. Agric. For. Meterol. 2019;268:341-353.
http://dx.doi.org/10.1016/j.agrformet.2019.01.032