Carbon river fluxes and weathering CO2 consumption in the Congo and Amazon river basins

1994 ◽  
Vol 9 (1) ◽  
pp. 1-13 ◽  
Author(s):  
J.L. Probst ◽  
J. Mortatti ◽  
Y. Tardy
Keyword(s):  
River Basins ◽  
Amazon River ◽  
Co2 Consumption

scholarly journals Assessment of Wetland Ecosystem Health in the Yangtze and Amazon River Basins

2017 ◽  
Vol 6 (3) ◽  
pp. 81 ◽  
Author(s):  
Rui Sun ◽  
Pingping Yao ◽  
Wen Wang ◽  
Bing Yue ◽  
Gang Liu
Keyword(s):  
Ecosystem Health ◽  
River Basins ◽  
Amazon River ◽  
Wetland Ecosystem

scholarly journals New records of fishes (Actinopterygii: Ostariophysi) from the Upper Tapajós River Basin

Check List ◽  
2012 ◽  
Vol 8 (3) ◽  
pp. 592 ◽  
Author(s):  
Fernando C. P. Dagosta ◽  
Murilo N. L. Pastana ◽  
André L. H. Esguícero
Keyword(s):  
River Basin ◽  
New Records ◽  
River Basins ◽  
Amazon River ◽  
First Report ◽  
Xingu River ◽  
Coastal Rivers

The first report of Sartor (Anostomidae) and Tatia intermedia (Auchenipteridae) for the Upper Tapajós River Basin are presented here. Sartor is very rare on collections, and is reported only from the Trombetas, Tocantins and Upper Xingu river basins. Tatia intermedia is registered in the upper reaches of the Araguaia, Tocantins, Xingu, and Capim rivers, tributaries of the lower Amazon River in Brazil, northwards to the Suriname coastal rivers and the Essequibo River in Guyana.

scholarly journals Catfishes of the genus Auchenipterichthys (Osteichthyes: Siluriformes: Auchenipteridae): a revisionary study

2005 ◽  
Vol 3 (1) ◽  
pp. 89-106 ◽  
Author(s):  
Carl J. Ferraris Jr. ◽  
Richard P. Vari ◽  
Sandra J. Raredon
Keyword(s):  
River Basin ◽  
River Basins ◽  
Junior Synonym ◽  
Amazon River ◽  
Amazon River Basin ◽  
Orinoco River ◽  
Negro River ◽  
Madeira River ◽  
Fourth Species ◽  
Madeira River Basin

The Neotropical auchenipterid catfish genus Auchenipterichthys is reviewed and found to include four species. Auchenipterichthys thoracatus, formerly considered to be widely distributed throughout the Amazon River basin, is found to be restricted to the upper Madeira River basin. The widespread Amazonian species that had been misidentified as A. thoracatus is, instead, A. coracoideus; a species that also occurs in the upper Essequibo River. Auchenipterichthys longimanus, the most widely distributed species of the genus, is found through much of the Amazon and Orinoco River basins. The fourth species of the genus, A. punctatus (and its junior synonym A. dantei), is found in the upper portions of the Orinoco and Negro River basins in Venezuela and the central portions of the Amazon River basin in Brazil. All four species of Auchenipterichthys are redescribed and illustrated, and a key to the species is provided.

scholarly journals 2015 Snapshot of Water Security in the Nile, Mekong, and Amazon River Basins

2016 ◽  
Vol 25 (1) ◽  
pp. 8-14 ◽  
Author(s):  
Jennifer C. Veilleux ◽  
Elizabeth P. Anderson
Keyword(s):  
Water Security ◽  
River Basins ◽  
Amazon River

scholarly journals Simulation of Water Sources and Precipitation Recycling for the MacKenzie, Mississippi, and Amazon River Basins

2006 ◽  
Vol 7 (3) ◽  
pp. 312-329 ◽  
Author(s):  
Michael G. Bosilovich ◽  
Jiun-Dar Chern
Keyword(s):  
Pacific Ocean ◽  
River Basin ◽  
Moisture Transport ◽  
River Basins ◽  
Cloud Base ◽  
Amazon River ◽  
Interannual Variations ◽  
Water Budgets ◽  
Precipitation Recycling ◽  
The Mean

Abstract An atmospheric general circulation model simulation for 1948–97 of the water budgets for the MacKenzie, Mississippi, and Amazon River basins is presented. In addition to the water budget, passive tracers are included to identify the geographic sources of water for the basins, and the analysis focuses on the mechanisms contributing to precipitation recycling in each basin. While each basin’s precipitation recycling has a strong dependency on evaporation during the mean annual cycle, the interannual variability of the recycling shows important relationships with the atmospheric circulation. The MacKenzie River basin recycling has only a weak interannual correspondence with evaporation, where the variations in zonal moisture transport from the Pacific Ocean can affect the basin water cycle. On the other hand, the Mississippi River basin precipitation and recycling have strong interannual correlation on evaporation. The evaporation is related to the moist and shallow planetary boundary layer that provides moisture for convection at the cloud base. At global scales, high precipitation recycling is also found to be partly correlated to warm SSTs in the tropical Pacific Ocean. The Amazon River basin evaporation exhibits small interannual variations, so the interannual variations of precipitation recycling are related to atmospheric moisture transport from the tropical South Atlantic Ocean. Increasing SSTs over the 50-yr period are causing increased easterly transport across the basin. As moisture transport increases, the Amazon precipitation recycling decreases (without real-time varying vegetation changes). In addition, precipitation recycling from a bulk diagnostic method is compared to the passive tracer method used in the analysis. While the mean values of the different recycling methods are different, the interannual variations are comparable between each method. The methods also exhibit similar relationships to the terms of the basin-scale water budgets.

scholarly journals A Comparative Performance Analysis of TRMM 3B42 (TMPA) Versions 6 and 7 for Hydrological Applications over Andean–Amazon River Basins

2014 ◽  
Vol 15 (2) ◽  
pp. 581-592 ◽  
Author(s):  
Zed Zulkafli ◽  
Wouter Buytaert ◽  
Christian Onof ◽  
Bastian Manz ◽  
Elena Tarnavsky ◽  
...  
Keyword(s):  
Hydrological Modeling ◽  
Estimation Algorithm ◽  
River Basins ◽  
Amazon River ◽  
Reference Database ◽  
Comparative Performance ◽  
Peruvian Andes ◽  
Tropical Regions ◽  
Tropical Mountains ◽  
Daily Streamflow

Abstract The Tropical Rainfall Measuring Mission 3B42 precipitation estimates are widely used in tropical regions for hydrometeorological research. Recently, version 7 of the product was released. Major revisions to the algorithm involve the radar reflectivity–rainfall rate relationship, surface clutter detection over high terrain, a new reference database for the passive microwave algorithm, and a higher-quality gauge analysis product for monthly bias correction. To assess the impacts of the improved algorithm, the authors compare the version 7 and the older version 6 products with data from 263 rain gauges in and around the northern Peruvian Andes. The region covers humid tropical rain forest, tropical mountains, and arid-to-humid coastal plains. The authors find that the version 7 product has a significantly lower bias and an improved representation of the rainfall distribution. They further evaluated the performance of the version 6 and 7 products as forcing data for hydrological modeling by comparing the simulated and observed daily streamflow in nine nested Amazon River basins. The authors find that the improvement in the precipitation estimation algorithm translates to an increase in the model Nash–Sutcliffe efficiency and a reduction in the relative bias between the observed and simulated flows by 30%–95%.

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