MX-EMg: El Mogor

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Use the information below for citation of this site. See the Data Policy page for more details.

DOI(s) for citing MX-EMg data

Data Use Policy: AmeriFlux Legacy Policy

AmeriFlux BASE: https://doi.org/10.17190/AMF/1717849
Citation: Alejandro Cueva, Eulogio López-Reyes, Stephen H. Bullock (2020), AmeriFlux BASE MX-EMg El Mogor, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1717849

To cite BADM when downloaded on their own, use the publications below for citing site characterization. When using BADM that are downloaded with AmeriFlux BASE and AmeriFlux FLUXNET products, use the DOI citation for the associated data product.

Publication(s) for citing site characterization

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Acknowledgments

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MX-EMg: El Mogor

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MX-EMg: El Mogor

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Search Images for this Site Images found : 5

AmeriFlux Images

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MX-EMg fetch
**Description:**
253 m upwind from EC tower 29 May 2017 photo by S.H. Bullock
Keywords: El Mogor eddy flux site, chaparral, mediterranean-climate shrubland, semi-arid, matorral esclerófilo, Baja California, Mexico
**Credit:** Stephen Bullock
**Site ID:** MX-EMg
**Location:** Mexico
**Image Date:** 2017/05/29
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

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To download, right-click photo (Mac: control-click) and choose Save Image As

MX-EMg tower and fetch
**Description:**
c.30 m upwind from EC tower November 2008
Keywords: El Mogor eddy flux site, mixed chaparral, mediterranean-climate shrubland, semi-arid, matorral esclerófilo, Baja California, Mexico
**Credit:** Stephen Bullock
**Site ID:** MX-EMg
**Location:** Mexico
**Image Date:** 2008/11
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

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To download, right-click photo (Mac: control-click) and choose Save Image As

Phenocam Image from El Mogor
**Description:**
This picture is from one (Mogor3) out of three wildlife cameras used as "Phenocams". The picture is from Nov 20th 2014 (start date of operation of the phenocams). This date is around the end of the dry season.
Keywords: —
**Credit:** Alejandro Cueva
**Site ID:** MX-EMg
**Location:** Mexico
**Image Date:** 2014/11/20
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Phenocam Image from El Mogor
**Description:**
This picture is from one (Mogor2) out of three wildlife cameras used as "Phenocams". The picture is from Nov 20th 2014 (start date of operation of the phenocams). This date is around the end of the dry season.
Keywords: —
**Credit:** Alejandro Cueva
**Site ID:** MX-EMg
**Location:** Mexico
**Image Date:** 2014/11/20
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Phenocam Image from El Mogor
**Description:**
This picture is from one (Mogor1) out of three wildlife cameras used as "Phenocams". The picture is from Nov 20th 2014 (start date of operation of the phenocams). The dominant vegetation in this photograph is Malosma laurina.
Keywords: El Mogor; MexFlux; PhenoCam;
**Credit:** Alejandro Cueva
**Site ID:** MX-EMg
**Location:** Mexico
**Image Date:** 2014/11/20
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

View in Original Size
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MX-EMg: El Mogor

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MODIS NDVI

The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
Use the slider below the time series to zoom in and out.

Includes all pixels that have acceptable quality

To view / download these data and other MOD13Q1 products for this site, visit MODIS/Terra Vegetation Indices.

For other related products, visit MODIS/VIIRS Fixed Sites Subsets Tool.

Citation:

ORNL DAAC. 2018. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567

Read more on how to cite these MODIS products. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

MODIS NDVI subsetted data is not yet available for this site.

For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.

PhenoCam Images and Derived Time Series Data

PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .

No PhenoCam data for this site

GeoNEX Data Products

Beta: This AmeriFlux GeoNEX Products feature is in beta. If you spot any issues, please help us out by emailing geonex-feedback@lbl.gov with a description and/or screenshot of the issue. Thanks in advance!

GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.

The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.

GeoNEX pixels below cover the area 0.06° x 0.06° around and including site .

Click a square in the grid at left to display its data below.

Coordinates for selected GeoNEX Pixel

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NDVI: Normalized Difference Vegetation Index

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

NIRv Near-Infrared Reflectance of vegetation

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

DSR: Surface downward shortwave radiation

Resolution: 0.01° x 0.01° & Hourly

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LST: Land Surface Temperature

Resolution: 0.02° x 0.02° & Hourly

Coordinates for pixel:

Citation

This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.

Subset Data Citation:

Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.

Relevant Science Publication Citation:

GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)

Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.

GeoNEX Surface Downward Solar Radiation (DSR):

Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.

GeoNEX Land Surface Temperature (LST):

Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.

MX-EMg: El Mogor

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Search Publications for this Site Publications Found: 6

AmeriFlux Publications

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Year	Publication
2021	Díaz de León-Guerrero, S., Méndez-Alonzo, R., Bullock, S.H. & Vivoni, E.R. (2021) Hydrological and topographic determinants of biomass and species richness in a Mediterranean-climate shrubland, PloS One, 16(5), . https://doi.org/10.1371/journal.pone.0252154
2020	Cueva, A., Bullock, S. H., Méndez‐Alonzo, R., López‐Reyes, E., Vargas, R. (2020) Foliage Senescence As A Key Parameter For Modeling Gross Primary Productivity In A Mediterranean Shrubland, Journal Of Geophysical Research: Biogeosciences, . https://doi.org/10.1029/2020JG005839
2017	Cueva, A., Bullock, S. H., López-Reyes, E., Vargas, R. (2017) Potential Bias Of Daily Soil Co2 Efflux Estimates Due To Sampling Time, Scientific Reports, 7(1), . https://doi.org/10.1038/s41598-017-11849-y
2016	Villarreal, S., Vargas, R., Yepez, E. A., Acosta, J. S., Castro, A., Escoto-Rodriguez, M., Lopez, E., Martínez-Osuna, J., Rodriguez, J. C., Smith, S. V., Vivoni, E. R., Watts, C. J. (2016) Contrasting Precipitation Seasonality Influences Evapotranspiration Dynamics In Water-Limited Shrublands, Journal Of Geophysical Research: Biogeosciences, 121(2), 494-508. https://doi.org/10.1002/2015JG003169
2014	Leon, E., Vargas, R., Bullock, S., Lopez, E., Panosso, A. R., La Scala, N. (2014) Hot Spots, Hot Moments, And Spatio-Temporal Controls On Soil Co2 Efflux In A Water-Limited Ecosystem, Soil Biology And Biochemistry, 77, 12-21. https://doi.org/10.1016/j.soilbio.2014.05.029
2016	Cueva, A. H., Bullock, S. H., López Reyes, E. & Vargas, R (2016) La influencia de sequía y humedad anormales en el intercambio neto de carbono en un matorral semiárido, Estado Actual del Conocimiento del Ciclo del Carbono y sus Interacciones en México: Síntesis a 2016, 37-42.

MX-EMg: El Mogor

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BADM for This Site

Access the Biological, Ancillary, Disturbance and Metadata (BADM) information and data for this site.

BADM contain information for many uses, such as characterizing a site’s vegetation and soil, describing disturbance history, and defining instrumentation for flux processing. They complement the flux/met data.

Download BADM for this site^*

View Site General Info for this site (Overview tab)^*

Use Online Editor to update Site General Info or DOI Authorship

Update information about submitted data (Variable Information tool)

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^* Online updates are shown on the Overview tab real time. However, downloaded BADM files will not reflect those updates until they have been reviewed for QA/QC.

MX-EMg: El Mogor

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Wind Roses

Click an image below to enlarge it, or use the navigation panel.

Image scale: 861m x 861m

Data Collected:

Wind roses use variables ‘WS’ and ‘WD’.
Download Data Download Wind Rose as Image File (PNG)

Wind Speed (m/s)

Graph Type

Wind Speed Scale

Wind Direction Scale (%)

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Show Wind Rose

Annual Average

About Ameriflux Wind Roses

Wind Rose Explanation

A wind rose gives a succinct view of how wind speed and direction are typically distributed at a particular location. Presented in a circular format, a wind rose shows the frequency and intensity of winds blowing from particular directions. The length of each “spoke” around the circle indicates the amount of time (frequency) that the wind blows from a particular direction. Colors along the spokes indicate categories of wind speed (intensity). Each concentric circle represents a different frequency, emanating from zero at the center to increasing frequencies at the outer circles

Utility

This information can be useful to gain insight into regions surrounding a flux tower that contribute to the measured fluxes, and how those regions change in dependence of the time of day and season. The wind roses presented here are for four periods of the year, and in 16 cardinal directions. Graphics are available for all sites in the AmeriFlux network based on reported wind measurements at each site.

Data from each site can be downloaded by clicking the ‘download’ button.

Hover the cursor over a wind rose to obtain directions, speeds and intensities.

Note that wind roses are not equivalent to flux footprints. Specifically, the term flux footprint describes an upwind area “seen” by the instruments measuring vertical turbulent fluxes, such that heat, water, gas and momentum transport generated in this area is registered by the instruments. Wind roses, on the other hand, identify only the direction and speed of wind.

Where do these data come from?

The wind roses are based on observed hourly data from the sites registered with the AmeriFlux Network.

Parameters for AmeriFlux Wind Roses

To use wind roses for a single AmeriFlux site, the following parameters may be most useful:

Wind Speed Scale: Per Site
Wind Direction Scale (%): Per Site

To compare wind roses from more than one single AmeriFlux site, the following parameters may be most useful:

Wind Speed Scale: Non-Linear
Wind Direction Scale (%): AmeriFlux

Mar - Jun; 6am - 6pm

Mar - Jun; 6pm - 6am

Jun - Sep; 6am - 6pm

Jun - Sep; 6pm - 6am

Sep - Dec; 6am - 6pm

Sep - Dec; 6pm - 6am

Dec - Mar; 6am - 6pm

Dec - Mar; 6pm - 6am

Tower_team:
PI:	Stephen H. Bullock sbullock@cicese.mx - Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
DataManager:	Alejandro Cueva alejandro.cueva@ecosur.mx - El Colegio de la Frontera Sur
Technician:	Eulogio López-Reyes elopez@cicese.mx - Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Lat, Long:	32.0298, -116.6045
Elevation(m):	409
Network Affiliations:	AmeriFlux, MexFlux
Vegetation IGBP:	CSH (Closed Shrublands: Lands with woody vegetation less than 2 meters tall and with shrub canopy cover >60%. The shrub foliage can be either evergreen or deciduous.)
Climate Koeppen:	Bsh (Steppe: very cold winter)
Mean Annual Temp (°C):	17
Mean Annual Precip. (mm):	281
Flux Species Measured:	CO2, H, H2O
Years Data Collected:	2008 - Present
Years Data Available:	AmeriFlux BASE 2015 - 2017 Data Citation
Data Use Policy:	AmeriFlux Legacy Policy
Description:	The vegetation is Mediterranean-climate closed shrubland on sandy soils. Eddy flux measurements began in 2008, 20 years after the last wildfire. The site ... The vegetation is Mediterranean-climate closed shrubland on sandy soils. Eddy flux measurements began in 2008, 20 years after the last wildfire. The site has been grazed lightly and sporadically. See More Show Less
URL:	—
Research Topics:	1) Comparison of NEEef and NPPmod17a. 2) Comparison of GPP ef (Reco fide Reichstein et al. 2005) and GPPmod17a. 3) Parameterize and elucidate mechanisms ... 1) Comparison of NEEef and NPPmod17a. 2) Comparison of GPP ef (Reco fide Reichstein et al. 2005) and GPPmod17a. 3) Parameterize and elucidate mechanisms of ecosystem response to weather and climate fluctuations on scale of hours to years. 4) Validate/modify soil CO2 efflux models for a subtropical water-limited site. 5) Investigate the degree and significance of functional diversity among species. 6) Compare ecosystem morpho-functional character parameters to ecosystems models. 7) Investigate the degree and significance of diurnal-nocturnal variation in transpiration and soil CO2 efflux. 8) Participate in comparison among sites differing in the seasonality and levels of precipitation and temperature. 9) Investigate multi-year trends in ecosystem metabolism during change after fire. 11) Improve methods of monitoring temporal and spatial variation in ecosystems and plant performance, including site unfeasible for eddy covariance methods. 12) Investiagte the roles in EF CO2 and H2O fluxes of advection from the Pacific and interior. See More Show Less
Acknowledgment:	—

MX-EMg: El Mogor

MX-EMg: El Mogor

DOI(s) for citing MX-EMg data

Publication(s) for citing site characterization

Acknowledgments

Resources

MX-EMg: El Mogor

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MX-EMg: El Mogor

MX-EMg fetch

MX-EMg tower and fetch

Phenocam Image from El Mogor

Phenocam Image from El Mogor

Phenocam Image from El Mogor

MX-EMg: El Mogor

MX-EMg: El Mogor

BADM for This Site

MX-EMg: El Mogor

Wind Roses

Wind Speed (m/s)

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