EVALUACIÓN DEL REANALYSIS (NCEP/NCAR) PARA EL ESTUDIO DE LA VARIABILIDAD TERMO-PLUVIOMÉTRICA DEL NOROESTE ARGENTINO

This is an outdated version published on 07-11-2022. Read the most recent version.

Authors

  • Federico Ferrelli Instituto Argentino de Oceanografía. Consejo Nacional de Investigaciones Científicas y Técnicas (IADO - CONICET, Argentina) Universidad Nacional del Sur (UNS, Argentina)
  • Andrea Soledad Brendel IADO - CONICET - UNS
  • María Cintia Piccolo IADO - CONICET - UNS
DOI: https://doi.org/10.6018/geografia.524631
Keywords: Técnicas de downscaling, estudios climáticos, datos in situ, datos modelados, precisión

Supporting Agencies

  • CONICET
  • UNS

Abstract

This study aims at assessing the precision of Reanalysis NCEP/NCAR for characterizing the thermal and rainfall variability in Northwest Argentina. Time series registered in situ and downloaded from Reanalysis were processed for the 1960-2020 period. Standard statistical techniques were applied, and subsequently, the spatial variation of temperature and rainfall was studied by applying the Kriging method. Finally, we analyzed both series with quantile regression. We divided the time series into ten quantiles and studied the adjustments. Results evidenced that both temperature and rainfall had statistical adjustments (p < 0.05), indicating that data from Reanalysis allowed the characterization of the spatial distribution of these variables with high accuracy. Air temperature registered higher results than rainfall. Nevertheless, when we studied the extremes, we observed significant differences. The temperature was reasonably adjusted in temperate and arid climates, while rainfalls presented significant results in the middle quantiles but not so in the extreme quantiles. The results obtained are an essential database for climate studies on a regional scale and for the design of land use plans to improve population’s quality of life and the environment.

Downloads

Download data is not yet available.

Author Biographies

Federico Ferrelli, Instituto Argentino de Oceanografía. Consejo Nacional de Investigaciones Científicas y Técnicas (IADO - CONICET, Argentina) Universidad Nacional del Sur (UNS, Argentina)

Doctorando de la UNS, realizando la especialización en teledetección y SIG en la Universidad Nacional de Luján (UNLu, Argentina).

Andrea Soledad Brendel, IADO - CONICET - UNS

Becaria Posdoctoral del Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina. 

Docente en el Departamento de Agronomía de la Universidad Nacional del Sur, Argentina. 

María Cintia Piccolo, IADO - CONICET - UNS

Investigadora Superior del Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina. 

Profesora Emérita del Departamento de Geografía y Turismo de la Universidad Nacional del Sur, Argentina. 

References

ALIAGA, V.S., FERRELLI, F., y PICCOLO, M.C. (2017): “Regionalization of climate over the Argentine Pampas”. International journal of climatology, vol. 37, p.1237-1247.

ARAYA-OSSES, D., CASANUEVA, A., ROMAN-FIGUEROA, C., URIBE, J.M., y PANEQUE, M. (2020): “Climate change projections of temperature and precipitation in Chile based on statistical downscaling”. Climate Dynamics, vol. 54, n° 9, p.4309-4330.

BECK, H.E., ZIMMERMANN, N.E., MCVICAR, T.R., VERGOPOLAN, N., BERG, A., y WOOD, E.F. (2018): “Present and future Köppen-Geiger climate classification maps at 1-km resolution”. Scientific data, vol.5, p.180214.

BUSTOS, M.L., FERRELLI, F., y PICCOLO, M.C. (2017): “Estudio Comparativo de Tres Modelos Climáticos en Argentina”. Anuário do Instituto de Geociências, vol. 40, n°1, p.34-43.

CANNON, A.J., SOBIE, S.R., y MURDOCK, T.Q. (2015): “Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes?” Journal of Climate, vol. 28, n°17, p.6938-6959.

COLLAZO, S., BARRUCAND, M., y RUSTICUCCI, M. (2019): “Summer seasonal predictability of warm days in Argentina: statistical model approach”. Theoretical and Applied Climatology, vol. 138 n°3-4, p.1853-1876.

DA ROCHA REPINALDO, C.R., MÜLLER, G.V., y MARTINS ANDRADE, K. (2017): “Patrones Atmosféricos Simulados en el clima presente y futuro asociados al Descenso de temperatura en el invierno en el sudeste de Sudamérica”. Boletín geográfico, vol.39, p.13-34.

DEVERS, A., VIDAL, J. P., LAUVERNET, C., GRAFF, B., y VANNIER, O. (2020): “A framework for high‐resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions”. Quarterly Journal of the Royal Meteorological Society, vol.146, n°726, p.153-173.

EUM, H.I., y CANNON, A.J. (2017): “Intercomparison of projected changes in climate extremes for South Korea: application of trend preserving statistical downscaling methods to the CMIP5 ensemble”. International Journal of Climatology, vol.37, n°8, p. 3381-3397.

FERRELLI, F., BUSTOS, M.L., PICCOLO, M.C., HUAMANTINCO CISNEROS, M.A. y PERILLO, G.M.E. (2016): “Downscaling de variables climáticas a partir del reanálisis NCEP/NCAR en el sudoeste de la provincia de Buenos Aires (Argentina)”. Papeles de Geografía, vol.62, p.21-33.

FERRELLI, F., BRENDEL, A., ALIAGA, V.S., PICCOLO, M.C., y PERILLO, G.M.E. (2019): “Climate regionalization and trends based on daily temperature and precipitation extremes in the south of the Pampas (Argentina)”. Cuadernos de Investigación Geográfica, vol. 45, n°1, p. 393-416.

FERRELLI, F. BUSTOS, M.L., PERILLO, G.M.E. y PICOLLO, M.C. (2021): “Evaluación de variables meteorológicas obtenidas del Reanalysis (NCEP/NCAR) para el estudio del clima de ciudades costeras de Argentina”. Investigaciones Geográficas, vol.76, p.263-284.

HEO, J.H., AHN, H., SHIN, J.Y., KJELDSEN, T.R., y JEONG, C. (2019): “Probability distributions for a quantile mapping technique for a bias correction of precipitation data: A case study to precipitation data under climate change”. Water, vol.11, n°7, p.1475.

HWANG, S., y GRAHAM, W.D. (2013): “Development and comparative evaluation of a stochastic analog method to downscale daily GCM precipitation”. Hydrology and Earth System Sciences, vol. 17, n°11, p.4481-4502.

INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE (IPCC) (2013): “Climate change 2013: The physical science basis”. En: T.F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P.M. Midgley (Eds.), Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (1535 p). Cambridge University Press: Cambridge, UK, y New York, USA.

INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE (IPCC) (2021): “Climate Change 2021: The Physical Science Basis.Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change”. Cambridge University Press. En prensa.

JEON, S., PACIOREK, C.J., & WEHNER, M.F. (2016): “Quantile-based bias correction and uncertainty quantification of extreme event attribution statements”. Weather and Climate Extremes, vol. 12, p.24-32.

KALNAY, E., KANAMITSU, M., KISTLER, R., COLLINS, W., DEAVEN, D., GANDIN, L., IREDELL, M., SAHA, S., WHITE, G., WOOLLEN, J., ZHU, Y., CHELLIAH, M., EBISUZAKI, W., HIGGINS, W., JANOWIAK, J., MO, K. C., ROPELEWSKI, C., WANG, J., LEETMAA, A., REYNOLDS, R., JENNE, R. y JOSEPH, D. (1996): “The NCEP/NCAR 40-year reanalysis project”. Bulletin of the American Meteorological Society, vol. 77, n°3, p.437-472.

KIM, K. Y., KIM, J., BOO, K. O., SHIM, S., y KIM, Y. (2019): “Intercomparison of precipitation datasets for summer precipitation characteristics over East Asia”. Climate Dynamics, vol.52, n°5-6, p.3005-3022.

KISTLER, R., KALNAY, E., COLLINS, W., SAHA, S., WHITE, G., WOOLLEN, J., CHELLIAH, M., EBISUZAKI, W., KANAMITSU, M., KOUSKY, V., VAN DEN DOOL, H., JENNE, R. & FIORINO, M. (2001): “The NCEP–NCAR 50-year reanalysis: monthly means CD-ROM and documentation”. Bulletin of the American Meteorological society, vol. 82, n°2, p.247-268.

LIBANDA, B., BWALYA, K., NKOLOLA, N. B., y CHILEKANA, N. (2020): “Quantifying long-term variability of precipitation and temperature over Zambia”. Journal of Atmospheric and Solar-Terrestrial Physics, vol.198, p.105201.

MANZANAL, M., ARQUEROS, M. X., ARZENO, M., y NARDI, M. A. (2009): “Desarrollo territorial en el norte argentino: una perspectiva crítica”. EURE (Santiago), vol. 35, n°106, p.131-153.

MARTINS ANDRADE, K.M., MÜLLER, G.V., CAVALCANTI, I.F.A. FERNÁNDEZ-LONG, M.E. y BIDEGAIN, M. (2012): “Avaliação de mudanças na frequência de sistemas frontais sobre o sulda América do Sul em projeções do clima futuro”. Meteorologica, vol. 37, p.15–26.

ROMERO, P. E., GONZÁLEZ, M. H., ROLLA, A. L., y LOSANO, F. (2020): “Forecasting annual precipitation to improve the operation of dams in the Comahue region, Argentina”. Hydrological Sciences Journal, p. 1-10.

RUSTICUCCI, M.M., y KOUSKY, V.E. (2002): “A comparative study of maximum and minimum temperatures over Argentina: NCEP–NCAR reanalysis versus station data”. Journal of Climate, vol.15, n°15, p.2089-2101.

SETH, A., RAUSCHER, S. A., CAMARGO, S.J., QIAN, J.H., y PAL, J.S. (2007): “RegCM3 regional climatologies for South America using reanalysis and ECHAM global model driving fields”. Climate Dynamics, vol.28, n°5, p.461-480.

SUN, W., MU, X., SONG, X., WU, D., CHENG, A. y QIU B., (2016): “Changes in extreme temperature and precipitation events in the Loess Plateau (China) during 1960–2013 under global warming”. Atmospheric Research, vol.168, p.33-48.

VIGGIANO, M., BUSETTO, L., CIMINI, D., DI PAOLA, F., GERALDI, E., RANGHETTI, L., RICCIARDELLI, E. y ROMANO, F. (2019): “A new spatial modeling and interpolation approach for high-resolution temperature maps combining reanalysis data and ground measurements”. Agricultural and Forest Meteorology, vol.276, p.107590.

WANG B., ZHANG M., WEI J., WANG S.J., LI S.S., MA Q., L. X.F. y PAN S.K. (2013): “Changes in extreme events of temperature and precipitation over Xinjiang, Northwest China, during 1960–2009”. Quatern Int, vol. 298, p.141–151.

WANG X.L., CHEN H., WU Y., FENG Y. y PU Q. (2010): “New techniques for detection and adjustment of shifts in daily precipitation data series”. J Appl Meteor Climatol, vol. 49, n°12, p.2416–2436.

WORKU, G.; TEFERI, E.; BANTIDER, A. y DILE, Y.T. (2018): “Observed changes in extremes of daily rainfall and temperature in Jemma Sub-Basin, Upper Blue Nile Basin, Ethiopia”. Theoretical and Applied Climatology, vol. 135, n°3-4, p.1-16.

ZHANG X. y YANG F. (2013): “RClimDex (1.1) user manual”. Disponible en: http:// cccma. Seos. Uvic. Ca /ETCCDI/software.shtml).

ZHAO, T., GUO, W., y FU, C. (2008): “Calibrating and evaluating reanalysis surface temperature error by topographic correction”. Journal of Climate, vol. 21, n°6, p.1440-1446.

ZHOU B.T., XU Y., WU J., DONG S.Y. y SHI Y. (2016): “Changes in temperature and precipitation extreme indices over China: analysis of a highresolution grid dataset”. Int J Climatol vol. 26, p.1051–1066.

Published
07-11-2022
Versions
How to Cite
Ferrelli, F., Brendel, A. S., & Piccolo, M. C. (2022). EVALUACIÓN DEL REANALYSIS (NCEP/NCAR) PARA EL ESTUDIO DE LA VARIABILIDAD TERMO-PLUVIOMÉTRICA DEL NOROESTE ARGENTINO. Geography Papers, (68). https://doi.org/10.6018/geografia.524631
Issue
Section
Articles