Abstract
We evaluated the performance of general atmosphere circulation model (GCM) from the European Center for Medium Range Weather Forecasts (ECMWF) for estimating surface air temperature (T) and precipitation (P) in 55 locations in the Brazilian Amazon. We compared data from surface meteorological stations obtained by the Brazilian Institute of Meteorology (INMET) and ECMWF by linear regression analysis (LRA) using R2 and Willmott et al. (J Geophys Res C5:8995–9005,1985) index (d) as measurement of precision and accuracy, respectively. We applied the Fourier series analysis by extracting the trend and frequency components of P events with noise reduction in the time series. We used the multivariate K-means method to separate weather stations by Groups of Similar Performances (GSPs). The northwest region is characterized as the area with the highest precipitation supply but the lowest performances for T and P, with R2 lower than 0.18. ECMWF tend to overestimate P in dry season and to underestimate in rainy season. The proposed methodology of calibration of P data by the Fourier series was a good tool to predict an extreme event every 5 to 7 months in the region. ECMWF presented high performance (R2 > 0.60) when estimating P in a monthly scale and medium performance (R2 < 0.60) when estimating T in a monthly and 10-day period. The highest concentrations of surface meteorological stations in the eastern/southeastern portion of the Amazon region were decisive in the ECMWF performance expression, indicating an increased meteorological predictability in the anthropic areas, precisely where the agricultural areas of grain were established in the region.
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References
Alessandrini S, Sperati S, Pinson P (2013) A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to shortterm wind power forecasting on real data. Appl Energy 107:271–280. https://doi.org/10.1016/j.apenergy.2013.02.041
Almeida CT, Oliveira-Júnior JF, Delgado RC, Cubo P, Ramos MC (2017) Spatiotemporal rainfall and temperature trends throughout the Brazilian Legal Amazon, 1973–2013. Int J Climatol 37:2013–2026. https://doi.org/10.1002/joc.4831
Bechtold P, Chaboureau P, Beljaars A, Betts AK, Kohler M, Miller M, Redelsperger J (2004) The simulation of the diurnal cycle of convective precipitation over land in a global model. Q J R Meteorol Soc 130:3119–3137. https://doi.org/10.1256/qj.03.103
Betts AK, Dias MAFS (2010) Progress in understanding land-surface-atmosphere coupling from LBA research. J Adv Model Earth Syst 2:1–20. https://doi.org/10.3894/JAMES.2010.2.6
Betts AK, Jakob C (2002) Evaluation of the diurnal cycle of precipitation, surface thermodynamics, and surface fluxes in the ECMWF model using LBA data. J Geophys Res 107(D20):8045. https://doi.org/10.1029/2001JD000427
Betts AK, Viterbo P (2005) Land-surface, boundary layer, and cloud-field coupling over the southwestern Amazon in ERA-40. J Geophys Res 110:D14108. https://doi.org/10.1029/2004JD005702
Betts AK, Fisch G, Von Randow C, Silva Dias CMAF, Cohen JCP, Silva R, Fitzjarrald DR (2009) The Amazonian boundary layer and mesoscale circulations, in Amazonia and global change. Geophys Monogr Ser 186:163–181
Byrne MP, O’gorman PA (2015) The response of precipitation minus evapotranspiration to climate warming: why the “wet-get-wetter, dry-get drier” scaling does not hold over land. J Clim 28(20):8078–8092
Callède JG, Cochonneau F, Vieira AJL, Guyot V, Santos G, Oliveira E (2010) The river Amazon water contribution to the Atlantic Ocean. J Water Sci 23(3):247–273
Cavalcanti IFA, Marengo JA, Alves LM, Costa DF (2016) On the opposite relation between extreme precipitation over west Amazon and southeastern Brazil: observations and model simulations. Int J Climatol. https://doi.org/10.1002/joc.4942
Ceglar A, Toreti A, Lecerf R, Velde MV, Dentener F (2016) Impact of meteorological drivers on regional inter-annual crop yield variability in France. Agric For Meteorol 216:58–67. https://doi.org/10.1016/j.agrformet.2015.10.004
Cheng H, Sinha A, Cruz FW, Wang X, Edwards RL, d’Horta FM, Ribas CC, Vuille M, Stott LD, Auler AS (2013) Climate change patterns in Amazonia and biodiversity. Nat Commun 4:1411. https://doi.org/10.1038/ncomms2415
Clara ML, Simionato CG, D’Onofrio E, Fiore M, Moreira D (2014) Variability of tidal constants in the Río de la Plata estuary associated to the natural cycles of the runoff. Estuar Coast Shelf Sci 148:85–96. https://doi.org/10.1016/j.ecss.2014.07.002
Coutinho MDL, Lima KC, Silva CMS (2016) Regional climate simulations of the changes in the components of the moisture budget over South America. Int J Climatol 36:1170–1183. https://doi.org/10.1002/joc.4411
Cox PM, Harris PP, Huntingford C, Betts RA, Collins M, Jones CD, Jupp TE, Marengo JA, Nobre CA (2008) Increasing risk of Amazonian drought due to decreasing aerosol pollution. Nature. 453:212–215. https://doi.org/10.1038/nature06960
Delahaye F, Kirstetter PE, Dubreuil V, Machado LAT, Vila DA, Clark R (2015) A consistent gauge database for daily rainfall analysis over the Legal Brazilian Amazon. J Hydrol 527:292–304. https://doi.org/10.1016/j.jhydrol.2015.04.012
Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 84:427–431
Doughty CE, Loarie SR, Field CB (2012) Theoretical impact of changing albedo on precipitation at the southernmost boundary of the ITCZ in South America. Earth Interact 16:1–14. https://doi.org/10.1175/2012EI422.1
Drumond A, Marengo JA, Ambrizzi T, Nieto R, Moreira L, Gimeno L (2014) The role of the Amazon Basin moisture in the atmospheric branch of the hydrological cycle: a Lagrangian analysis. Hydrol Earth Syst Sci 18:2577–2598. https://doi.org/10.5194/hess-18-2577
ECMWF (2015) European centre for medium-range weather forecasts, wwwecmwfint Cited 10 April 2018
Elshorbagy A, Simonovic SP, Panu US (2002) Noise reduction in chaotic hydrologic time series: facts and doubts. J Hydrol 256:147–165. https://doi.org/10.1016/S0022-1694(01)00534-0
Espinoza JC, Guyot JL, Ronchail J, Cochonneau G, Filizola N, Fraizy P, Labat D, de Oliveira E, Julio Ordonez J, Vauchel P (2009a) Contrasting regional discharge evolutions in the Amazon basin (1974–2004). J Hydrol 375:297–311. https://doi.org/10.1016/j.jhydrol.2009.03.004
Espinoza JC, Ronchail J, Guyot JL, Cochonneau G, Naziano F, Lavado W, de Oliveira E, Pombosa R, Vauchel P (2009b) Spatio-temporal rainfall variability in the Amazon basin countries (Brazil, Peru, Bolivia, Colombia, and Ecuador). Int J Climatol 29:1574–1594. https://doi.org/10.1002/joc.1791
Fernandes K, Fu R, Betts AK (2008) How well does the ERA40 surface water budget compare to observations in the Amazon River basin? J Geophys Res 113:D11117. https://doi.org/10.1029/2007JD009220
Gloor MRJW, Brienen D, Galbraith TR, Feldpausch J, Schöngart W, Guyot JL, Espinoza JC, Lloyd J, Phillips OL (2013) Intensification of the Amazon hydrological cycle over the last two decades. Geophys Res Lett 40:1729–1733. https://doi.org/10.1002/grl.50377
Harman BI, Koseoglu H, Yigit CO (2016) Performance evaluation of IDW, Kriging and multiquadric interpolation methods in producing noise mapping: a case study at the city of Isparta, Turkey. Appl Acoust 112:147–157. https://doi.org/10.1016/j.apacoust.2016.05.024
Hoaglin D, Welsch R (1978) The hat matrix in regression and ANOVA. Am Stat 32:17–22
Itterly KF, Taylor PC, Dodson JB, Tawfik AB (2016) On the sensitivity of the diurnal cycle in the Amazon to convective intensity. J Geophys Res Atmos 121:8186–8208. https://doi.org/10.1002/2016JD025039
Itterly KF, Taylor P, Dodson JB (2018) Sensitivity of the Amazonian convective diurnal cycle to its environment in observations and reanalysis. J Geophys Res Atmos 123(12):621–12,646. https://doi.org/10.1029/2018JD029251
Jain AK, Murty MN, Flynn PJ (1999) Data clustering: a review. ACM Comput Surv 31:264–323
Laguardia G (2011) Representing the precipitation regime by means of Fourier series. Int J Climatol 31:1398–1407. https://doi.org/10.1002/joc.2169
Lee T, Ouarda T (2010) Long-term prediction of precipitation and hydrologic extremes with nonstationary oscillation processes. J Geophys Res Atmos 115:D13
Liebmann B, Marengo JA (2001) Interannual variability of the rainy season and rainfall in the brazilian amazon basin. J Climate 14:4308–4318. https://doi.org/10.1175/1520-0442(2001)014<4308:ivotrs>2.0.co;2
Lin YH, Lo MH, Chou C (2016) Potential negative effects of groundwater dynamics on dry season convection in the Amazon River basin. Clim Dyn 46:1001–1013. https://doi.org/10.1007/s00382-015-2628-8
Liu G, Guo Z (2016) A clustering-based differential evolution with random-based sampling and Gaussian sampling. Neurocomputing 205:229–246. https://doi.org/10.1016/j.neucom.2016.04.040
MacKinnon JG(2010) Critical values for cointegration tests. Queen’s Economics Department Working Paper 1227:1–19
Marengo JA (1992) Interannual variability of surface climate in the Amazon basin. Int J Climatol 12:853–863
Marengo JA (2005) Characteristics and spatio-temporal variability of the Amazon River basin water budget. Clim Dyn 24:11–22. https://doi.org/10.1007/s00382-004-0461-6
Marengo JA, Espinoza JC (2016) Extreme seasonal droughts and floods in Amazonia: causes, trends and impacts. Int J Climatol 36:1033–1050. https://doi.org/10.1002/joc.4420
Marengo J, Nobre C (2009) Clima da regiao Amazonica. In: Tempo e clima no Brasil, edited by: Cavalcanti. I. F. A. Oficina de Textos, Sao Paulo, pp 197–212 (in Portuguese)
Martha GBJ, Contini E, Navarro Z (2011) Characterization of the legal Amazon and external environment macro-trends. Embrapa Studies and Training, Brasília 50 pp
Martorano LG, Moraes JRSC, Lisboa LSS, Junior RAG, Amaral VP, Aparecido LEO (2017) Expansion of palm oil (Elaeis guineensis Jacq.) in the state of Maranhão and soil water déficit limitations in the Brazilian Amazon. Aust J Crop Sci 11(11):1386–1391
Moraes JRSC, Rolim GS, Aparecido LEO (2017) Software for the detection of outliers and influential points based on the HAT method. Aust J Crop Sci 11:459–463. https://doi.org/10.21475/ajcs.17.11.04.356
Olita A, Ribotti A, Sorgente R, Fazioli L, Perilli A (2011) SLA-chlorophyll-a 519 variability and covariability in the Algero-Provençal Basin (1997–2007) through 520 combined use of EOF and wavelet analysis of satellite data. Ocean Dyn 61:89–102
Ring C, Mannig B, Pollinger F, Paeth H (2016) Uncertainties in the simulation of precipitation in selected regions of humid and dry climate. Int J Climatol 36:3521–3538. https://doi.org/10.1002/joc.4573
Sang YF, Wang D, Wu JC, Zhu QP, Wang L (2009) The relation between periods’ identification and noises in hydrologic series data. J Hydrol 368:165–177
Satyamurty P, Castro AA, Tota J, Gularte LES, Manzi AO (2010) Rainfall trends in the Brazilian Amazon Basin in the past eight decades. Theor Appl Climatol 99:139–148. https://doi.org/10.1007/s00704-009-0133-x
Sawaske SR, Freyberg DL (2014) An analysis of trends in baseflow recession and lowflows in rain-dominated coastal streams of the pacific coast. J Hydrol 519:599–610. https://doi.org/10.1016/j.jhydrol.2014.07.046
Silva AKL, Sousa AML, Santos JTS, Villela JM, Martorano LG, Crestana S (2018) Estimation of sediment production in oil palm expansion areas in the Amazon. Rev Bras Eng Agríc Ambient 22(5):344–348
Solman SA, Sanchez E, Samuelsson P, Rocha RP, Li L, Marengo J, Pessacg LN, Remedio ARC, Chou SC, Berbery H, Treut LH, Castro M, Jacob D (2013) Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties. Clim Dyn. https://doi.org/10.1007/s00382-013-1667-2
Sypka P, Kuczab J, Starzakb R (2016) Assumptions for Fourier-based modelling of diurnal temperature variations in the top soil layer under Istebna spruce stands. Agric For Meteorol 222:71–86. https://doi.org/10.1016/j.agrformet.2016.03.004
Tanaka MO, Fernandes JDF, Suga CM, Hanai FY, Souza ALTD (2015) Abrupt change of a stream ecosystem function along a sugarcance-forest transition: integrating riparian and in-stream characteristics. Agric Ecosyst Environ 207:171–177. https://doi.org/10.1016/j.agee.2015.04.014
Tawfik AB, Dirmeyer PA (2014) A process-based framework for quantifying the atmospheric preconditioning of surface-triggered convection. Geophys Res Lett 41:173–178. https://doi.org/10.1002/2013GL057984
Taylor PG, Cleveland CC, Wieder WR, Sullivan BW, Doughty CE, Dobrowski SZ, Townsend AR (2017) Temperature and rainfall interact to control carbon cycling in tropical forests. Ecol Lett 20:779–788. https://doi.org/10.1111/ele.12765
Valeriano TTB, Rolim GS, Bispo RC, Moraes JRSC, Aparecido LEO (2019) Evaluation of air temperature and rainfall from ECMWF and NASA gridded data for southeastern Brazil. Theor Appl Climatol 137:1925–1938. https://doi.org/10.1007/s00704-018-2706-z
Van Heerwaarden CC, Arellano JVG, Teuling AJ (2010) Land-atmosphere coupling explains the link between pan evaporation and actual evapotranspiration trends in a changing climate. Geophys Res Lett 37:L21401. https://doi.org/10.1029/2010GL045374
Werth D, Avissar R (2002) The local and global effects of Amazon deforestation. J Geophys Res 107:8087. https://doi.org/10.1029/2001JD000717
Williams E, Rosenfeld D, Madden N, Gerlach J, Gears N, Atkinson L, Dunnemann N, Frostrom G, Antonio M, Biazon B, Camargo R, Franca H, Gomes A, Lima M, Machado R, Manhaes S, Nachtigall L, Piva H, Quintiliano W, Machado L, Artaxo P, Roberts G, Renno N, Blakeslee R, Bailey J, Boccippio D, Betts A, Wolff D, Roy B, Halverson J, Rickenbach T, Fuentes J, Avelino E (2002) Contrasting convective regimes over the Amazon: implications for cloud electrification. J Geophys Res 107(D20):1–50. https://doi.org/10.1029/2001JD000380
Willmott CJ, Ackleson SG, Davis RE, Feddema JJ, Klink KM, Legates DR, O'Donnell J, Rowe CM (1985) Statistics for evaluation and comparison of models. J Geophys Res 90(C5):8995–9005. https://doi.org/10.1029/JC090iC05p08995
Xie Y, Huang Q, Chang J, Liu S, Wang Y (2016) Period analysis of hydrologic series through moving-window correlation analysis method. J Hydrometeorol 538:278–292. https://doi.org/10.1016/j.jhydrol.2016.04.024
Yang CG, Lin ZH, Yu ZB, Hao ZC, Liu SF (2010) Analysis and simulation of human activity impact on streamflow in the huaihe river basin with a largescale hydrologic model. J Hydrometeorol 11:810–821. https://doi.org/10.1175/2009JHM1145.1
Acknowledgements
The National Council for Scientific and Technological Development (CNPq) (process No. 134509/2015-3) and Coordination of Improvement of Higher Level Personnel-Brazil (CAPES)—Finance Code 001, for the financial support.
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de Moraes, J.R.d.S.C., Rolim, G.d.S., Martorano, L.G. et al. Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon. Theor Appl Climatol 141, 803–816 (2020). https://doi.org/10.1007/s00704-020-03231-2
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DOI: https://doi.org/10.1007/s00704-020-03231-2