Site ID:
BR-Sa1
Site Name:
Santarem - K67
Variables:
Soil water content (saturation)
Date Range:
July 1, 2000
-
Feb. 29, 2004
Description:
The 2015–2016 El Niño event ranks as one of the most severe on record in terms of the magnitude and extent of sea surface temperature (SST) anomalies generated in the tropical Pacific Ocean. This data was used to investigate changes in soil moisture to better understand how it is impacted by climate anomalies during an El Niño event. This dataset contains soil water content hourly data processed to monthly from July 2000 to February 2004 in a single CSV file. Data was collected from Eddy Covariance Flux Tower at the near-surface (0-10 cm). Site located at a latitude -3.02 deg N, longitude -54.97 deg E. Data was downloaded from the FluxNet soil moisture data network and is publicly available at https://fluxnet.org/data/download-data/. Data from this site is referenced as Brazil (3) in Table 1 and Figure 4 of Solander et al.: The pantropical response of soil moisture to El Niño, Hydrol. Earth Syst. Sci., 24, 2303–2322, https://doi.org/10.5194/hess-24-2303-2020, 2020.
QA/QC:
Full QA-QC
Methods Description:
About FLUXNET data: FLUXNET is an international “network of networks,” tying together regional networks of earth system scientists. FLUXNET scientists use the eddy covariance technique to measure the cycling of carbon, water, and energy between the biosphere and atmosphere. Scientists use these data to better understand ecosystem functioning, and to detect trends in climate, greenhouse gases, and air pollution. For more information about FLUXNET data, visit https://fluxnet.org/about/.
Access Level:
Public
Originating Institution(s):
NASA
Sponsor Organization(s):
National Aeronautics and Space Administration (Goddard NCC5-280)
Contact:
Solander, Kurt - Los Alamos National Laboratory (ksolander@lanl.gov)
Goulden, M. L., and Coauthors, Diel and seasonal patterns of tropical forest CO2 exchange, Ecol. Appl., 14, S42-S54, 2004.
Solander et al.: The pantropical response of soil moisture to El Niño, Hydrol. Earth Syst. Sci., 24, 2303–2322, https://doi.org/10.5194/hess-24-2303-2020, 2020