Amazon Basin Simulated Discharge Dataset

Our research group has been involved with many studies regarding Amazon River Basin in the last years. Among them, the development of a hydrodynamic model of the whole basin, where MGB-IPH hydrologic module was coupled to a full Saint-Venant hydraulic propagation module in the lower reaches and Muskingum-Cunge routine in the upper ones, with the implementation of floodplains as storage areas into continuity equation.

Here, we make available the results of the model, providing a distributed discharge dataset for the basin.

Within the model, Amazon basin was discretized into 5765 catchments, and the model calculates one discharge time series for each river reach (related to one catchment each).
In the link below, you will find a text file containing all these calculated time series. Data are arranged as 5765 columns, representing one river reach each, and 4383 rows, representing one day-step each. For these data, the model was run from 01/01/1998 to 31/12/2009, forced with TRMM precipitation and CRU climate data.

Download MGB-IPHAmazonDischargeData

In the next link you can find a shapefile containing the discretized drainage network, with 5765 reaches. In the attribute table, the column “MINI” indicates the number of the catchment, related to the column order in the text file above. Then, if you want to know the discharge series in the catchment with “MINI” number 1500, you just need to extract the 1500th column from the text file. Other information in attribute table are (i) upstream drainage area of the reach outlet (km²) and (ii) reach length.

Download AmazonDrainageShapefile

Finally, we created average data files:

  • Climatology data for each river reach, calculated from 1998 to 2009. It contains 5765 columns (one per reach) and 12 rows (average discharge values, from January to December). Download climatology data file here.
  • Monthly data for each river reach: one time series per month, from Jan/1998 to Dec/2009 (144 months). It contains 5765 columns (one per reach) and 144 rows (one per month, starting in Jan/1998). Download monthly data file here.

The model was validated against many datasets, including in-situ observed discharge and water level, radar altimetry, GRACE TWS and flooded area extent.

It is important to notice that it is a model run, with the assumption of many hypotheses that must be understood before using the data.

Also, in the figure below you can find a map with model efficiency calculated with model results and discharge observed data. For more detailes please read the paper mentioned below.




When using these data, please refer to the following paper:
Paiva, R. C. D.; Buarque, D. C. ; Collischonn, W. ; Bonnet, M.-P. ; Frappart, F.; Calmant, S.; Bulhões Mendes, C. A.. Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin. Water Resources Research, v. 49, p. 1226-1243, 2013.



For doubts/ideas/discussion, please contact:

Rodrigo Paiva

Ayan Fleischmann

Mino Sorribas

Questions can also be posted in our forum (in any language):


Other studies related to Amazon River Basin in our group:

Sorribas, M.V., Paiva, R., Collischonn, W., Bonnet, M.P. Towards Understanding Of Water Pathways In The Amazon Basin Using Hydrologic And Hydrodynamic Modeling. International Conference on the Status and Future of World’s Large Rivers. Manaus, Brazil, 21-25th July, 2014

Sorribas, M.V., Paiva, R., Collischonn, W., Bonnet, M.P.Investigating Amazon Basin Water Pathways Using Hydrologic And Hydrodynamic Modeling. 7th International Conference on The Global Water and Energy Cycle. The Hague, Netherlands, 14-17 July, 2014

Paiva, R. C. D., Buarque, D. C., Collischonn, W., Bonnet, M. P., Tucci, C. E. M. . Hydrological Modeling of the Amazon Basin. In: WATER AND CLIMATE modeling in large basins, Ed. Vieira da Silva, Tucci and Scott (em editoração), 2013.

Clarke, R. T. and Buarque, D. C. . Maximizing the Predictive Value of Information from Different Sources: An Amazon Case Study. In: Putting Prediction in Ungauged Basins into Practice, IAHS Red Book, Ed. J. W. Pomeroy, P. H. Whitfield, and C. Spence. Canmore, AB. (in proof), 2013.

Clarke, R.T. and Buarque, D.C. . Statistically combining rainfall characteristics estimated from remote-sensed and raingauge data-sets in the brazilian Amazon-Tocantins basins. J. Geophys. Res., 118, doi:10.1002/jgrd.50545, 2013.

Paiva, R. C. D. ; Collischonn, W. ; Buarque, D. C. . Validation of a full hydrodynamic model for large scale hydrologic modelling in the Amazon. Hydrological Processes, 27, p. 333–346. DOI: 10.1002/hyp.8425, 2013.

Paiva, R. C. D. ; Paiva, R. C. D. ; Collischonn, W. ; Bonnet, M.-P. ; De Gonçalves, L. G. G. ; Calmant, S. ; Getirana, A. ; Santos Da Silva, J. . Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon. Hydrology and Earth System Sciences Discussions (Online), v. 10, p. 2879-2925, 2013.

Mangiarotti, S.; Martinez, J. M.; Bonnet, M. P.; Buarque, D. C.; Filizola, N. & Mazzega, P. . Discharge and Suspended Sediment Flux Estimated along the Mainstream of the Amazon and the Madeira Rivers (from in situ and MODIS Satellite Data). Int. J. Appl. Earth Observ. Geoinf., 2013

Buarque, D. C. ; Collischonn, W. ; Paiva, R. C. D. . Coupling a basin erosion and river sediment transport model into a large scale hydrological model: an application in the Amazon basin. Geophysical Research Abstracts, v. 14, p. 11935, 2012.

Paiva, Rodrigo Cauduro Dias ; Buarque, Diogo Costa ; Clarke, Robin T. ; Collischonn, Walter ; Allasia, Daniel Gustavo . Reduced precipitation over large water bodies in the Brazilian Amazon shown from TRMM data. Geophysical Research Letters, v. 38, p. L04406, 2011.

Clarke, Robin T. ; Buarque, Diogo Costa ; de Paiva, Rodrigo Cauduro Dias ; Collischonn, Walter . Issues of spatial correlation arising from the use of TRMM rainfall estimates in the Brazilian Amazon. Water Resources Research, v. 47, p. W05539, 2011.

Buarque, D. C.; Paiva, R. C. D. ; Clarke, R. T. ; Mendes, C. A. B. . A comparison of Amazon rainfall characteristics derived from TRMM, CMORPH and the Brazilian national rain gauge network. Journal of Geophysical Research , v. 116, p. D19105, 2011.

Paiva, R. C. D. ; Buarque, D. C. ; Collischonn, W. ; Sorribas, M. ; Allasia, D. G. ; Mendes, C. A. B. ; Tucci, C. E. M. ; Bonnet, M. P. . Hydrologic and Hydrodynamic Modelling of the Amazon Basin using TRMM Rainfall Estimates. Geophysical Research Abstracts, v. 13, p. 12666, 2011.

Clarke, R. T. ; Mendes, C. A. B. ; Buarque, D. C. . A comparison of extreme rainfall characteristics in the Brazilian Amazon derived from two gridded data sets and a national rain gauge network. Journal of Geophysical Research , v. 115, p. D13104, 2010.

Getirana, A. C. V. ; Bonnet, M.-P. ; Rotunno Filho, O. C. ; Collischonn, W. ; Guyot, J.-L. ; Seyler, F. ; Mansur, W. J. . Hydrological modelling and water balance of the Negro River basin: evaluation based on in situ and spatial altimetry data. Hydrological Processes, p. n/a-n/a, 2010.

Collischonn, B ; Collischonn, W ; Tucci, C . Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates. Journal of Hydrology, p. 207, 2008.

Ribeiro Neto, A. ; Collischonn, W. ; Silva, R. C. V. ; Tucci, C. E. . Hydrological modelling in Amazonia use of the MGB-IPH model and alternative databases. IAHS-AISH Publication, v. 303, p. 246-254, 2006.