Author(s): Rodrigues J; Solander K; Cropper S; Collins A; Newman B; Warren J; Negron-Juarez R; Gimenez B; Spanner G; Menezes V; Rios-Villamizar E; Ferreira S; Higuchi N
Site ID: BR-Ma2
Site Name: Manaus - ZF2 K34
Variables: Other
Date Range: April 25, 2017 - March 22, 2019
Description: Soil water percolation flux measurements derived from six passive wick flux meters across three topographic positions (valley, slope and plateau). Data has been processed to compute the mean for each topographic position where two flux meters were installed at each topographic position. Missing data represented a few percent of the total data set and were filled using two approaches. In the event one of the flux meters malfunctioned, we used data from the other sensor from the same topographic position without averaging. When both sensors were not working, such as during the period from September to October 2017 for the slope and valley and July 2018 for the plateau, data was filled using a nonlinear regression model that was based on local precipitation data and coefficients that were empirically derived for each topographic position. The metadata tab included in the .csv has additional information on locations where the sensors were installed, and other installation/maintenance details. Contact ksolander@lanl.gov if you need to use this dataset for additional information.
QA/QC: Full QA-QC
Methods Description: Data QA/QC: Data has been processed to compute the mean for each topographic position where two flux meters were installed at each topographic position. Missing data represented a few percent of the total data set and were filled using two approaches. In the event one of the flux meters malfunctioned, we used data from the other sensor from the same topographic position without averaging. When both sensors were not working, such as during the period from September to October 2017 for the slope and valley and July 2018 for the plateau, data was filled using a nonlinear regression model that was based on local precipitation data and coefficients that were empirically derived for each topographic position.
Access Level: Public
Originating Institution(s): Forest Management Laboratory - LMF, National Institute for Amazonian Research (INPA), Manaus, Brazil; Earth and Environmental Sciences Division, MS J495, Los Alamos National Laboratory, Los Alamos, NM, USA; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, USA; Environmental Science Division, Climate Change Science Institute - Oak Ridge National Laboratory, Oak Ridge, TN 37831-6301, 865-241-3150; Climate and Ecosystem Science Division, MS J495, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Hydrological Research Coordination – CPH, Programa de Grande Escala Biosfera-Atmosfera na Amazônia – LBA, National Institute for Amazonian Research (INPA), Manaus, Brazil; Department of Geography, University of California Berkeley, Berkeley, CA 94720, United States of America; Centro de Estudos Superiores de Tabatinga – CESTB, Universidade do Estado do Amazonas – UEA, Av. da Amizade 74, CEP 69640-000, Tabatinga, Amazonas, Brazil
Sponsor Organization(s): Next Generation Ecosystem Experiments-Tropics (NGEE-Tropics)
Contact: Solander, Kurt - Los Alamos National Laboratory (ksolander@lanl.gov)
Version: 1.0
Dataset Citation: Rodrigues J; Solander K; Cropper S; Collins A; Newman B; Warren J; Negron-Juarez R; Gimenez B; Spanner G; Menezes V; Rios-Villamizar E; Ferreira S; Higuchi N (2023): Soil Water Percolation Flux, April 2017 to March 2019, BR-Ma2, Manaus. 1.0. NGEE Tropics Data Collection. (dataset). https://doi.org/10.15486/ngt/1995425
Acknowledgement: Funding for NGEE-Tropics data resources was provided by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research.
Data Link: Download Dataset
Rodrigues et al., 2023, Soil water percolation and nutrient fluxes as a function of topographical and seasonal variation in Central Amazonia, Brazil, Vadose Zone Journal (in press).
