MX-Lpa: La Paz

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Tower_team:
PI:	Walter Oechel woechel@mail.sdsu.edu - San Diego State University
Lat, Long:	24.1292, -110.4380
Elevation(m):	21
Network Affiliations:	AmeriFlux, MexFlux
Vegetation IGBP:	OSH (Open Shrublands: Lands with woody vegetation less than 2 meters tall and with shrub canopy cover between 10-60%. The shrub foliage can be either evergreen or deciduous.)
Climate Koeppen:	Bwh (Desert: warm winter)
Mean Annual Temp (°C):	23.6
Mean Annual Precip. (mm):	182
Flux Species Measured:	CO2
Years Data Collected:	2001 - Present
Years Data Available:	AmeriFlux BASE 2004 - 2008 Data Citation
Data Use Policy:	AmeriFlux Legacy Policy
Description:	As evident by some very large Cardon (5-7 meters), according to Coyle and Roberts, 1975, extent vegetation has likely been around at least 200 years. Until ... As evident by some very large Cardon (5-7 meters), according to Coyle and Roberts, 1975, extent vegetation has likely been around at least 200 years. Until about 15 years ago from 1996, site was used for livestock production and selective firewood extraction. However, when I look over the fence where there has been livestock activity, not much difference See More Show Less
URL:	http://gcrg.sdsu.edu
Research Topics:	NPP, CO2 flux, lateral C transport, water budget,
Acknowledgment:	P.I. Walter Oechel. CIBNOR, BCS, MX. San Diego State Univeristy, CA. USA. National Science Foundaiton.

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MX-Lpa: La Paz

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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-Lpa data

Data Use Policy: AmeriFlux Legacy Policy

AmeriFlux BASE: https://doi.org/10.17190/AMF/1246014
Citation: Walter Oechel (2016), AmeriFlux BASE MX-Lpa La Paz, Ver. 1-1, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246014

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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MX-Lpa: La Paz

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This page displays the list of downloads of data for the site MX-Lpa.

Note: Results are the number of downloads to distinct data users. The Download Count column indicates the number of times the data user downloaded the data. The Version column refers to the version of the data product for the site that was downloaded by the data user.

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MX-Lpa: La Paz

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Search Images for this Site Images found : 0

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MX-Lpa: La Paz

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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

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 MX-Lpa, 24.1292, -110.438.

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

Coordinates for selected GeoNEX Pixel

Graph controls:

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Use the slider below the time series to zoom in and out.

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NDVI: Normalized Difference Vegetation Index

No NDVI data have been received for site MX-Lpa.

NDVI (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

NIRv Near-Infrared Reflectance of vegetation

No NIRv data have been received for site MX-Lpa.

NIRv (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

DSR: Surface downward shortwave radiation

No DSR data have been received for site MX-Lpa.

Shortwave Radiation (W/m2)

Resolution: 0.01° x 0.01° & Hourly

Coordinates for pixel:

LST: Land Surface Temperature

No LST data have been received for site MX-Lpa.

LST (K)

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-Lpa: La Paz

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Search Publications for this Site Publications Found: 2

AmeriFlux Publications

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Year	Publication
2012	Bell, T. W., Menzer, O., Troyo-Diéquez, E., Oechel, W. C. (2012) Carbon Dioxide Exchange Over Multiple Temporal Scales In An Arid Shrub Ecosystem Near La Paz, Baja California Sur, Mexico, Global Change Biology, 18(8), 2570-2582. https://doi.org/10.1111/j.1365-2486.2012.02720.x
2005	Hastings, S. J., Oechel, W. C., Muhlia-Melo, A. (2005) Diurnal, Seasonal And Annual Variation In The Net Ecosystem CO2 Exchange Of A Desert Shrub Community (Sarcocaulescent) In Baja California, Mexico, Global Change Biology, 11(6), 927-939. https://doi.org/10.1111/j.1365-2486.2005.00951.x

MX-Lpa: La Paz

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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)

More BADM resources

^* 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-Lpa: La Paz

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Wind Roses

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

Image scale: 926m x 926m

Image scale: 1853m x 1853m

Data Collected: 2004 - 2008

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

Wind Speed (m/s)

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Annual Annual Average

Mar-Jun 6AM to 6PM 6PM to 6AM

Jun-Sep 6AM to 6PM 6PM to 6AM

Sep-Dec 6AM to 6PM 6PM to 6AM

Dec-Mar 6AM to 6PM 6PM to 6AM

Graph Type

Wind Speed Scale

Wind Direction Scale (%)

Show Satellite Image

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