Navopatía Flux Station eddy covariance (EC) data (2017-2019)

Objective: ----- The objective of this database is to measure and identify the seasonal variation of atmospheric exchange fluxes of carbon, water, and energy in a mangrove site in the southern coastal line of the Northwestern Mexican State of Sonora. This fluxes dataset is part of a larger project entitled "Environmental Controls on the temporal evolution of Energy and CO~2~ fluxes on an Arid Mangrove of Northwestern Mexico". Both the project and the eddy covariance (EC) station are managed and operated by the Instituto Tecnológico de Sonora (ITSON) and funded by the National Laboratory of Coastal Resilience (LANRESC) and the National Council of Science and Technology (CONACYT). ------------------ Study site ----- The study site is found at the coastal intertidal zone of the northern edge of Mazocarit Island, approximately 400 meters east of the Navopatia Field Station, both located in northwestern state of Sonora, México. The site is characterized by the presence of two dominant species of mangroves (Avicennia germinans and Rhizophora mangle) rooted on salt-silt-clayey sediments. The Mazocarit Island is found within the coastal lagoon system known as the Agiabampo-Bacorehuis-Rio Fuerte system encompassing an area of 90,804 ha in the boundaries of the Mexican States of Sonora and Sinaloa. The navopatia meteorological station is in the northern tip of the Mazocarit Island characterized by the presence of red mangrove (Rhizophora mangle) with the following location: UTM Coordinate system Easting: 675582.80 Northing: 2921170.99, UTM zone: 12 N, Datum: WGS84 Geographic location: Latitude: 26.3999, Longitude: -109.2397, Datum: WGS84. The eddy covariance system are installed in an 8 meter height tower on 6.5 meters above the mangrove canopy (mean canopy height = 5 meters), with a sampling rate 10 Hz. ------------------ Data ----- Sensible heat (H), latent heat (λE), net exchange ecosystem (NEE) and Bowen relation data. Processed under the protocols of Burba & Anderson (2010) with corrections for density variations caused by temperature, precipitation, and air humidity (Webb et al., 1980). And a quality control of the flows under the system of Mauder and Foken (2004). The missing data in the time series of energy fluxes and CO2 (NEE) corresponded to 42% of the entire data set and were completed with the methods developed by Reichstein et al. (2005) and Falge et al. (2001) and executed using the R-based processing tool REddyProc (Wutzler et al., 2018). This tool was developed by the Department of Biogeochemical Integration of the Max Planck Institute for Biogeochemistry and performs the filling of gap data considering both the covariation of vertical flows with meteorological variables and their temporal autocorrelation. Finally, flows below a friction velocity threshold (u *) of 0.29 m s-1 were discarded for the entire data set