U.S. Department of EnergyOffice of Scientific and Technical Information
Soil Water Percolation Flux, April 2017 to March 2019, BR-Ma2, Manaus
Abstract
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.
- Authors:
-
- Lawrence Berkeley National Lab
- Los Alamos National Laboratory
- Los Alamos National Lab
- Oak Ridge National Laboratory
- Lawrence Berkeley National Laboratory
- National Institute of Amazon Research (INPA)
- National Institute for Amazon Research (INPA)
- INPA
- Publication Date:
- Other Number(s):
- NGT0205
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Next-Generation Ecosystem Experiments Tropics; National Institute for Amazonian Research (INPA); Los Alamos National Laboratory (LANL); University of California, Los Angeles; Oak Ridge National Laboratory (ORNL); Lawrence Berkeley National Laboratory (LBNL); Programa de Grande Escala Biosfera-Atmosfera na Amazônia (LBA / INPA); University of California Berkeley, Berkeley; Universidade do Estado do Amazonas (UEA)
- Sponsoring Org.:
- Next Generation Ecosystem Experiments-Tropics (NGEE-Tropics)
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- OSTI Identifier:
- 1995425
- DOI:
- https://doi.org/10.15486/ngt/1995425
Citation Formats
Rodrigues, Jardel, Solander, Kurt, Cropper, Stephen, Collins, Adam, Newman, Brent, Warren, Jeffrey, Negron-Juarez, Robinson, Gimenez, Bruno, Spanner, Gustavo, Menezes, Valdiek, Rios-Villamizar, Eduardo, Ferreira, Savio, and Higuchi, Niro. Soil Water Percolation Flux, April 2017 to March 2019, BR-Ma2, Manaus. United States: N. p., 2023.
Web. doi:10.15486/ngt/1995425.
Rodrigues, Jardel, Solander, Kurt, Cropper, Stephen, Collins, Adam, Newman, Brent, Warren, Jeffrey, Negron-Juarez, Robinson, Gimenez, Bruno, Spanner, Gustavo, Menezes, Valdiek, Rios-Villamizar, Eduardo, Ferreira, Savio, & Higuchi, Niro. Soil Water Percolation Flux, April 2017 to March 2019, BR-Ma2, Manaus. United States. doi:https://doi.org/10.15486/ngt/1995425
Rodrigues, Jardel, Solander, Kurt, Cropper, Stephen, Collins, Adam, Newman, Brent, Warren, Jeffrey, Negron-Juarez, Robinson, Gimenez, Bruno, Spanner, Gustavo, Menezes, Valdiek, Rios-Villamizar, Eduardo, Ferreira, Savio, and Higuchi, Niro. 2023.
"Soil Water Percolation Flux, April 2017 to March 2019, BR-Ma2, Manaus". United States. doi:https://doi.org/10.15486/ngt/1995425. https://www.osti.gov/servlets/purl/1995425. Pub date:Sun Dec 31 23:00:00 EST 2023
@article{osti_1995425,
title = {Soil Water Percolation Flux, April 2017 to March 2019, BR-Ma2, Manaus},
author = {Rodrigues, Jardel and Solander, Kurt and Cropper, Stephen and Collins, Adam and Newman, Brent and Warren, Jeffrey and Negron-Juarez, Robinson and Gimenez, Bruno and Spanner, Gustavo and Menezes, Valdiek and Rios-Villamizar, Eduardo and Ferreira, Savio and Higuchi, Niro},
abstractNote = {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.},
doi = {10.15486/ngt/1995425},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 31 23:00:00 EST 2023},
month = {Sun Dec 31 23:00:00 EST 2023}
}