Influence of extreme heat events on energy flows in agricultural area with wheat in southern Brazil

Authors

DOI:

https://doi.org/10.5902/2179460X75373

Keywords:

Latent heat flux, Sensible heat flux, Extreme heat

Abstract

Extreme heat events have been reported more frequently in recent years. However, few studies have addressed the effects of these events on turbulent fluxes in the atmospheric boundary layer. The objective of this study is to investigate the anomalous behavior of sensible and latent heat fluxes and their relationship with extreme heat events in a wheat crop in the municipality of Carazinho-RS during winter. The analysis showed a relationship between the intense advection of warm air from the northern quadrant with the increase of latent heat flux and consecutive days in which the sensible heat flux remains negative. Therefore, the extreme heat event significantly alters the expected pattern for the behavior of near-surface fluxes.

Downloads

Download data is not yet available.

Author Biographies

Gustavo Pujol Veeck, Universidade Federal de Santa Maria

PhD in Physical

Alecsander Mergen, Universidade Federal de Santa Maria

MSc physical

Vanessa de Arruda Souza, Universidade Federal do Rio Grande do Sul

PhD. Remote Sensing

Michel Baptistella Stefanello, Universidade Federal de Santa Maria

Physical PhD.

Genei Antonio Dalmago, Universidade Federal de Santa Maria

PhD Phytotechnics

Jorge Alberto de Gouvea, Brazilian Agricultural Research Corporation

Phd Plant Biology

Cinara Ewerling da Rosa, Federal Institute of Rio Grande do Sul

Phd in Meteorology.

Débora Regina Roberti, Universidade Federal de Santa Maria

Phd in Physics

References

Alvares, C. A., Stape, J. L., Sentelhas, P. C., de Moraes Gonçalves, J. L., Sparovek, G. (2013). Köppen’s climate classification map

for brazil. Meteorologische Zeitschrift, 22(6), 711–728, URL http://dx.doi.org/10.1127/0941-2948/2013/0507.

Arbage, M. C. A., Degrazia, G. A., Welter, G. S., Roberti, D. R., Acevedo, O. C., de Moraes, O. L. L., Ferraz, S. T., Timm, A. U., Moreira, V. S. (2008). Turbulent statistical characteristics associated to the north wind phenomenon in southern brazil with application to turbulent diffusion. Physica A: Statistical Mechanics and its Applications, 387(16), 4376–4386.

Arias, P., Bellouin, N., Coppola, E., Jones, R., Krinner, G., Marotzke, J., Naik, V., Palmer, M., Plattner, G. K., Rogelj, J., et al. (2021). Climate change 2021: The physical science basis. contribution of working group14 i to the sixth assessment report of the intergovernmental panel on climate change; technical summary. .

Foken, T., Leuning, R., Oncley, S. R., Mauder, M., Aubinet, M. (2012). Corrections and data quality control. Em: Eddy covariance, Springer, pp. 85–131.

Garratt, J. R. (1994). The atmospheric boundary layer. Cambridge University Press, Cambridge, UK. Gash, J. H. C., Culf, A. D. (1996). Applying a linear detrend to eddy correlation data in realtime. Boundary-Layer Meteorology, 79(3), 301–306, URL https://doi.org/10.1007/BF00119443.

Moncrieff, J., Massheder, J., de Bruin, H., Elbers, J., Friborg, T., Heusinkveld, B., Kabat, P., Scott, S., Soegaard, H., Verhoef, A. (1997). A system to measure surface fluxes of momentum, sensible heat, water vapour and carbon dioxide. Journal of Hydrology, 188-189, 589 – 611, URL http://www.sciencedirect.com/science/article/pii/S0022169496031940, hAPEX-Sahel.

Moncrieff, J., Clement, R., Finnigan, J., Meyers, T. (2005). Averaging, Detrending, and Filtering of Eddy Covariance Time Series, Springer Netherlands, Dordrecht, pp. 7–31. URL https://doi.org/10.1007/1-4020-2265-4_2.

Peel, M. C., Finlayson, B. L., McMahon, T. A. (2007). Updated world map of the köppen-geiger climate classification. Hydrology and Earth System Sciences, 11(5), 1633–1644, URL https://hess.copernicus.org/articles/11/1633/2007/.

Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grünwald, T., Havránková, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G., Vaccari,

F., Vesala, T., Yakir, D., Valentini, R. (2005). On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology, 11(9), 1424–1439, URL https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2486.2005.001002.x, https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-2486.2005.001002.x.

Robinson, P. J. (2001). On the definition of a heat wave. Journal of Applied Meteorology and Climatology, 40(4), 762–775.

da Rosa, C. E., Stefanello, M., de Lima Nascimento, E., Rossi, F. D., Roberti, D. R., Degrazia, G. A. (2021). Meteorological observations of the vento norte phenomenon in the central region of rio grande do sul. Revista Brasileira de Meteorologia, pp.1–10.

da Rosa, C. E., Stefanello, M., Facco, D. S., Roberti, D. R., Rossi, F. D., Nascimento, E. d. L., Degrazia, G. A. (2022a).

Regional-scale meteorological characteristics of the vento norte phenomenon observed in southern brazil. Environmental Fluid Mechanics, pp. 1–19.

da Rosa, C. E., Stefanello, M., Facco, N. C. S., dos Reis, Stefanello, D., Ferraz, S. T., Boiaski, N. T., Herdies, D., Degrazia, G. A. (2022b). Winter heat waves characteristics associated with downslope windstorm in south brazil. JC.

Stefanello, M., de Lima Nascimento, E., da Rosa, C. E., Degrazia, G., Mortarini, L., Cava, D. (2020). A micrometeorological analysis of the vento norte phenomenon in southern brazil. Boundary-Layer Meteorology, pp. 1–25.

Streck, E. V., KÄMPF, N., DALMOLIN, R. S. D., KLAMT, E., Nascimento, P. d., Schneider, P., Giasson, E., Pinto, L. (2008). Solos do Rio Grande do Sul. UFRGS: EMATER/RS-ASCAR Porto Alegre.

Veeck, G. P., Dalmago, G. A., Bremm, T., Buligon, L., Jacques, R. J. S., Fernandes, J. M., Santi, A., Vargas, P. R., Roberti, D. R. (2022). Co2 flux in a wheat-soybean succession in subtropical brazil: A carbon sink. Journal of Environmental Quality, n/a(n/a), URL https://acsess.onlinelibrary.wiley.com/doi/abs/10.1002/jeq2.20362, https://acsess.onlinelibrary.wiley.com/doi/pdf/10.1002/jeq2.20362.

Vickers, D., Mahrt, L. (1997). Quality control and flux sampling problems for tower and aircraft data. Journal of Atmospheric and Oceanic Technology, 14(3), 512–526, URL https://doi.org/10.1175/1520-0426(1997)014<0512:QCAFSP>

0.CO;2, https://doi.org/10.1175/1520-0426(1997)014<0512:QCAFSP>2.0.CO;2.

Webb, E. K., Pearman, G. I., Leuning, R. (1980). Correction of flux measurements for density effects due to heat and water vapour transfer. Quarterly Journal of the Royal Meteorological Society, 106(447), 85–100, URL https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.49710644707, https://

rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.49710644707.

Wilczak, J. M., Oncley, S. P., Stage, S. A. (2001). Sonic anemometer tilt correction algorithms. Boundary-Layer Meteorology, 99(1), 127–150, URL https://doi.org/10.1023/A:1018966204465.

Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K., Šigut, L., Menzer, O., Reichstein, M. (2018). Basic and extensible post-processing of eddy covariance flux data with reddyproc. Biogeosciences, 15(16), 5015–5030, URL https://bg.copernicus.org/articles/15/5015/2018/.

Published

2023-11-22

How to Cite

Veeck, G. P., Mergen, A., Souza, V. de A., Stefanello, M. B., Dalmago, G. A., Gouvea, J. A. de, Rosa, C. E. da, & Roberti, D. R. (2023). Influence of extreme heat events on energy flows in agricultural area with wheat in southern Brazil. Ciência E Natura, 45(esp. 2), e75373. https://doi.org/10.5902/2179460X75373

Most read articles by the same author(s)

1 2 3 4 5 6 > >> 

Similar Articles

You may also start an advanced similarity search for this article.