Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor

Autores

  • Madson Tavares Silva Universidade Federal de Campina Grande (UFCG) no Centro de Tecnologia e Recursos Naturais (CTRN), lotado na Unidade Acadêmica de Ciências Atmosféricas (UACA). http://orcid.org/0000-0003-1823-2742
  • Verônica Gabriella de Oliveira Federal University of Campina Grande, Academic Unit of Atmospheric Sciences, Center for Technology and Natural Resources http://orcid.org/0000-0002-5854-9261
  • Carlos Antonio Costa dos Santos Federal University of Campina Grande, Academic Unit of Atmospheric Sciences, Center for Technology and Natural Resources http://orcid.org/0000-0003-2414-2911
  • Lindenberg Lucena da Silva Federal University of Campina Grande, Academic Unit of Atmospheric Sciences, Center for Technology and Natural Resources http://orcid.org/0000-0001-7564-3455
  • Francineide Amorim Costa Santos Institute for Training of Educators, Federal University of Cariri, Brejo Santo, CE, Brazil. http://orcid.org/0000-0002-1290-0386
  • Edivaldo Afonso de Oliveira Serrão Federal University of Campina Grande, Academic Unit of Atmospheric Sciences, Center for Technology and Natural Resources http://orcid.org/0000-0003-2376-847X

DOI:

https://doi.org/10.11137/1982-3908_2022_45_42790

Palavras-chave:

Remote sensing, Albedo, Caatinga

Resumo

This study aimed to estimate the surface net radiation (Rn) for the States of Paraíba and Rio Grande do Norte and validate the results with data measured in validate the results with measurements in experimental recovering (CRec), degraded (CDeg), and preserved (CPres) areas of Caatinga. Seventeen images of the MODIS sensor on board the Terra satellite were selected for CRec and CDeg in the State of Paraíba and twenty-eight images for CPres in the state of Rio Grande do Norte, corresponding to the period of January to December 2014. The MODIS-Terra MOD09A1 and MOD11A2 products were used. Parametric (Shapiro-Wilk) and non-parametric (Kolmogorov-Smirnov and Wilcoxon-Mann-Whitney) tests were applied to understand the patterns. Statistical error indices were applied to verify the accuracy of the estimates in relation to the observed values. Only the measured albedo (α_meas) met the assumption of normality. According to mean absolute percentage error statistics, the model used to estimate the albedo was classified as inappropriate for CPres and CRec (> 25%), while it was satisfactory for CDeg (15-25%). Significant differences between observed and estimated values were absent only for the variable Rn in the three observation sites. The good performance of Rn estimates confirms the efficiency of the application of the method in semiarid regions.

Biografia do Autor

Madson Tavares Silva, Universidade Federal de Campina Grande (UFCG) no Centro de Tecnologia e Recursos Naturais (CTRN), lotado na Unidade Acadêmica de Ciências Atmosféricas (UACA).

Graduado em Meteorologia pela Universidade Federal de Campina Grande (2008). Mestre em Meteorologia, com área de concentração em Agrometeorologia e Micrometeorologia pela Universidade Federal de Campina Grande (2010). Doutor em Meteorologia pela Universidade Federal de Campina Grande (2014). Atualmente é Professor Adjunto Nível II da Universidade Federal de Campina Grande (UFCG) no Centro de Tecnologia e Recursos Naturais (CTRN), lotado na Unidade Acadêmica de Ciências Atmosféricas (UACA). Professor permanente dos Programas de Pós-Graduação em Meteorologia (PPGMET) e Recursos Naturais (PPGRN) da UFCG. Líder do Grupo de Pesquisas em Geotecnologias e modelagem de risco ambiental. Tem experiência na área de Meteorologia e Meio Ambiente, com ênfase em Agrometeorologia, Climatologia, Estatística Descritiva e Multivariada, Geoprocessamento e Sensoriamento Remoto (QGIS), atuando principalmente nos seguintes temas: séries temporais, modelagem agrometeorológica e hidrológica (SWAT), mudanças climáticas, zoneamento de risco climático, consumo hídrico de culturas e sensoriamento remoto aplicado à agricultura e clima urbano.

Referências

Allen, R.G., Pereira, L.S., Raes, D. & Smith, M. 1998, Crop evapotranspiration: Guidelines for computing crop water requirements, Paper No. 56, United Nations FAO, Irrigation and Drainage, New York.

Allen, R., Tasumi, M. & Trezza, R. 2002, SEBAL (Surface Energy Balance Algorithms for Land) – Advanced Training and User’s Manual– Idaho Implementation, version 1.0, Idaho.

Amatya, P.M., Ma, Y., Han, C., Wang, B. & Devkot, L. P. 2015, 'Estimation of net radiation flux distribution on the southern slopes of the central Himalayas using MODIS data', Atmospheric Research, vol. 154, pp. 146–54, DOI:10.1016/j.atmosres.2014.11.015.

Araújo, A.L., Silva, M.T., Silva, B.B., Santos, C.A.C. & Amorim, M.R.B. 2017, 'Modelagem simplificada para estimativa do balanço de energia à superfície em escala regional (R-SSEB)', Revista Brasileira de Meteorologia, vol. 32, no. 3, pp. 433–46, DOI:10.1590/0102-77863230010.

Araújo, A.L., Silva, M.T., Silva, B.B., Santos, C.A.C. & Dantas, M.P. 2018, 'Análise das mudanças de parâmetros biofísicos sobre o Nordeste Brasileiro de 2002 a 2011 com dados MODIS', Revista Brasileira de Meteorologia, vol. 33, no. 4, pp. 589–99, DOI:10.1590/0102-7786334002.

Araújo, A.L., Silva, B.B. & Braga, C.C. 2012, 'Simplified modeling of downwelling long-wave radiation over Brazilian semi-arid under irrigation conditions', Revista Brasileira de Geofísica, vol. 30, no. 2, pp. 137–45, DOI:10.22564/rbgf.v30i2.87.

Alvares, C.A., Stape, J.L., Sentelhas, P.C., Gonçalves, J.L.M. & Sparovek, G. 2014, 'Koppen’s climate classification map for Brazil', Meteorol. Z., vol. 22, no. 6, pp. 711–28, DOI:10.1127/0941-2948/2013/0507.

Bastiaanssen, W.G.M. 1995, 'Regionalization of surface flux densities and moisture indicators in composite terrain: a remote sensing approach under clear skies in Mediterranean climates', PhD Dissertation, CIP Data Koninklijke Bibliotheek, DenHaag, The Netherlands.

Bisht, G. & Bras, R.L. 2011, 'Estimation of net radiation from the moderate resolution imaging spectroradiometer over the continental United States', IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 6, pp. 2448–62, DOI:10.1109/TGRS.2010.2096227.

Bisht, G., Venturini, V., Islam, S. & Jiang, L. 2005, 'Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear-sky days', Remote Sensing of Environment, vol. 97, no. 1, pp. 52–67, DOI:10.1016/j.rse.2005.03.014.

Carmona, F., Rivas., R. & Caselles, V. 2014, 'Estimation of daytime downward longwave radiation under clear and cloudy skies conditions over a sub-humid region', Theoretical and Applied Climatology, vol. 115, pp. 281–95, DOI:10.1007/s00704-013-0891-3.

Ceballos, J.C., Bottino, M.J. & Souza, J.M.A. 2004, 'Simplified physical model for assessing solar radiation over Brazil using GOES 8 visible imagery', Journal of Geophysical Research, vol. 109, no. D2, D02211, DOI:10.1029/2003JD003531.

Cochran, W.G. 1977, Sampling techniques, 3rd edn, John Wiley & Sons, New York.

Cueto, R.G., Soto, N.S., Rincón, Z.H., Benítez, S.O. & Morales, G.B. 2015, 'Parameterization of net radiation in an arid city of northwestern Mexico', Atmósfera, vol. 28, no. 2, pp. 71–82, DOI:10.20937/ATM.2015.28.02.01.

Duffie, J.A. & Beckman, W.A. 1991, Solar engineering of thermal process, 2nd edn, Wiley, New York.

Francisco, P.R.M., Medeiros, R.M., Santos, D. & Matos, R.M. 2015, 'Classificação climática de Köppen e Thornthwaite para o estado da Paraíba', Revista Brasileira de Geografia Física, vol. 8, no. 4, pp. 1006–16, DOI:10.5935/1984-2295.20150049.

Hwang, K., Choi, M., Lee, S.O. & Seo, J. 2013, 'Estimation of instantaneous and daily net radiation from MODIS data under clear sky conditions: a case study in East Asia', Irrigation Science, vol. 31, pp. 1173–84, DOI:10.1007/s00271-012-0396-3.

Jiang, B., Zhang, Y., Liang, S., Wohlfahrt, G., Arain, A., Cescatti, A., Georgiadis, T., Jia, K., Kiely, G., Lund, M., Montagnani, L., Magliulo, V., Ortiz, P. S., Oechel, W., Vaccari, F.P., Yao, Y. & Zhang, X. 2015, 'Empirical estimation of daytime net radiation from shortwave radiation and ancillary information', Agricultural and Forest Meteorology, vol. 211–212, pp. 23–36, DOI:10.1016/j.agrformet.2015.05.003.

Jiang, Y., Tang, R., Jiang, X. & Li, Z-L. 2019, 'Impact of clouds on the estimation of daily evapotranspiration from MODIS-derived instantaneous evapotranspiration using the constant global shortwave radiation ratio method', International Journal of Remote Sensing, vol. 40, no. 5–6, pp. 1930–44, DOI:10.1080/01431161.2018.1482025.

Liang, S.L., Wang, K.C., Zhang, X.T. & Wild, M. 2010, 'Review on estimation of land surface radiation and energy budgets from ground measurement, remote sensing and model simulations', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 3, no. 3, pp. 225–40, DOI:10.1109/JSTARS.2010.2048556.

Liew, M.W., Veith, T.L., Bosch, D.D. & Arnold, J.G. 2007, 'Suitability of SWAT for the Conservation effects assessment project: a comparison on USDA - ARS watersheds', Journal of Hydrologic Engineering, vol. 12, no. 2, pp. 173–89, DOI:10.1061/(ASCE)1084-0699(2007)12:2(173).

Lu, J., Tang, R.L., Tang, H.J. & Li, Z.L. 2013, 'Derivation of daily evaporative fraction based on temporal variations in surface temperature, air temperature, and net radiation', Remote Sensing, vol. 5, no. 10, pp. 5369–96, DOI:10.3390/rs5105369.

Mahalakshmi, D.V., Paul, A., Dutta, D., Ali, M.H., Reddy, R.S., Jha, C., Sharma, J.R. & Dadhwal, V.K. 2016, 'Estimation of net surface radiation from eddy flux tower measurements using artificial neural network for cloudy skies', Sustainable Environment Research, vol. 26, no. 1, pp. 44–50, DOI:10.1016/j.serj.2015.09.002.

Marengo, J.A., Torres, R.R. & Alves, L.M. 2017, 'Drought in Northeast Brazil-past, present, and future', Theoretical and Applied Climatology, vol. 129, no. 3–4, pp. 1189–200, DOI:10.1007/s00704-016-1840-8.

Marengo, J.A., Alves, L.M., Alvala, R.C.S., Cunha, A.P., Brito, S. & Moraes, O.L.L. 2018, 'Climatic characteristics of the 2010-2016 drought in the semiarid Northeast Brazil region', Anais da Academia Brasileira de Ciências, vol. 90, no. 2, pp. 1973–85, DOI:10.1590/0001-3765201720170206.

Marengo, J.A. & Bernasconi, M. 2015, 'Regional differences in aridity / drought conditions over Northeast Brazil: present state and future projections', Climatic Change, vol. 129, no. 1, pp. 103–15, DOI:10.1007/s10584-014-1310-1.

Mira, M., Olioso, A., Gallego-Elvira, B., Courault, D., Garrigues, S., Marloie, O., Hagolle, O., Guillevic, P. & Boulet, G. 2016, 'Uncertainty assessment of surface net radiation derived from Landsat images', Remote Sensing of Environment, vol. 175, pp. 251–70, DOI:10.1016/j.rse.2015.12.054.

Montgomery, D.C., Jennings, C.L. & Kulahci, M. 2015, Introduction to time series analysis and forecasting, 6th edn, Wiley-Interscience, New York.

Nash, J.E. & Sutcliffe, J.V. 1970, 'River flow forecasting through conceptual models: a discussion of principles', Journal of Hydrology, vol. 10, no. 3, pp. 282–90, DOI:10.1016/0022-1694(70)90255-6.

Oliveria, V.G., Silva, M.T., Santos, C.A.C., Serrão, E.A.O., Silva, B.K.N., Santos, M.R.S. & Corrêa, I.C.P. 2021, 'Variabilidade Temporal da Cobertura das Terras nos Estados da Paraíba e Rio Grande do Norte', Revista Brasileira de Meteorologia, vol. 36, no. 1, pp. 125–36, DOI:10.1590/0102-77863610011.

Pigeon, G., Legain, D., Durand, P. & Masson, V. 2007, 'Anthropogenic heat release in an old European agglomeration (Toulouse, France)', International Journal of Climatology, vol. 27, no. 14, pp. 1969–81, DOI:10.1002/joc.1530.

Pinker, R.T., Tarpley, J.D., Laszlo, I., Mitchell, K.E., Houser, P.R., Wood, E.F., Schaake, J.C., Robock, A., Lohmann, D., Cosgrove, B.A., Sheffield, J., Duan, Q., Luo, L. & Higgins, W. 2003, 'Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project', Journal of Geophysical Research Atmospheres, vol. 108, no. D22, 8844, DOI:10.1029/2002JD003301.

R Core Team 2016, R: A language and environment for statistical computing., R Foundation for Statistical Computing, Computer Program, viewed 12 December 2020, <https://www.R-project.org>.

Royston, J.B. 1983, 'Some techniques for assessing multivariate based on the Shapiro-Wilk W', Journal of the Royal Statistical Society, vol. 32, no. 2, pp. 121–33, DOI:10.2307/2347291.

Santos, C.A.C., Silva, B.B., Rao, T.V.R., Satyamurti, P. & Manzi, A.O. 2011, 'Downward longwave radiation estimates for clear-sky conditions over Northeast Brazil', Revista Brasileira de Meteorologia, vol. 26, no. 3, pp. 443–50, DOI:10.1590/S0102-77862011000300010.

Santos, C.A.C., Costa, M.V.G., Silva, M.T., Silva, L.L., Santos, F.A.C., Bezerra, B.G. & Medeiros, S.S. 2017, 'Obtenção de parâmetros ambientais na Região Semiárida da Paraíba por dados MODIS', Revista Brasileira de Meteorologia, vol. 32, no. 4, pp. 633–47, DOI:10.1590/0102-7786324011.

Santos, F.A.C., Silva, B.B., Araújo. A.L., Silva, M.T. & Braga, A.C. 2013, 'Comparação de modelos de estimativa da radiação de onda curta a partir de dados MODIS/Terra', Revista Brasileira de Geografia Física, vol. 6, no. 4, pp. 1037–49, DOI:10.26848/rbgf.v6i5.233094.

Santos, F.A.C., Santos, C.A.C., Silva, B.B., Araújo. A.L. & Cunha, J.E.B.L. 2015, 'Desempenho de metodologias para estimativa do saldo de radiação a partir de imagens MODIS'. Revista Brasileira de Meteorologia, vol. 30, no. 3, pp. 295–306, DOI:10.1590/0102-778620130085.

Santos, C.A.C., Mariano, D.A., Nascimento, F.C.A., Dantas, F.R.C., Oliveira, G., Silva, M.T., Silva, L.L., Silva, B.B., Bezerra, B.G., Safa, B., Medeiros, S.S. & Neale, C.M.U. 2020, 'Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil', International Journal of Applied Earth Observation and Geoinformation, vol. 85, 101982, DOI:10.1016/j.jag.2019.101982.

Silva, M.T., Silva, V.P.R, Silva, M.M.M.A., Silva, H.C.D. & Oliveira, N.F. 2014, 'Space time variability of surface temperature in the semi-arid Pernambuco based image TM/Landsat', Journal of Hyperspectral Remote Sensing, vol. 4, no. 4, pp. 111–20, DOI:10.29150/jhrs.v4.4.p111-120.

Tasumi, M., Allen, R.G. & Trezza, R. 2008, 'At-surface reflectance and albedo from satellite for operational calculation of land surface energy balance', Journal of Hydrologic Engineering, vol. 13, no. 2, pp. 51–63, DOI:10.1061/(ASCE)1084-0699(2008)13:2(51).

Tavares-Damasceno, J.P., Silveira, J.L.G.S., Camara, T., Stedile, P.C., Macario, P., Toledo-Lima, G.S. & Pichorim, M. 2017, 'Effect of drought on demography of Pileated Finch (Coryphospingus pileatus: Thraupidae) in northeastern Brazil', Journal of Arid Environments, vol. 147, pp. 63–70, DOI:10.1016/j.jaridenv.2017.09.006.

Teixeira, A.H.C., Bastiaanssen, W.G.M., Ahmad, M.D., Moura, M.S.B. & Bos, M.G. 2008, 'Analysis of energy fluxes and vegetation-atmosphere parameters in irrigated and natural ecosystems of semi-arid Brazil', Journal of Hydrology, vol. 362, no. 1–2, pp. 110–27, DOI:10.1016/j.jhydrol.2008.08.011.

Wang, T., Shi, J., Yu, Y., Husi, L., Gaob, B., Zhou, W., Ji, D., Zhao, T., Xiong, C. & Chenc, L. 2018, 'Cloudy-sky land surface longwave downward radiation (LWDR) estimation by integrating MODIS and AIRS/AMSU measurements', Remote Sensing of Environment, vol. 205, pp. 100–11, DOI:10.1016/j.rse.2017.11.011.

Downloads

Publicado

2022-07-01

Edição

Seção

Meteorologia