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Temperature, relative humidity and cloud immersion data for Luquillo Mountains, eastern Puerto Rico, 2014-2019

Metadata Updated: July 6, 2024

Supplementary data for studies conducted in the Luquillo Experimental Forest (LEF), eastern Puerto Rico include measurements of temperature, relative humidity and cloud immersion at 30-minute resolution. Temperature and relative humidity were measured at five sites; two primary sites have records from April 2014 to June 2019; other sites have shorter records within that period. From these data, derived values of dew point, vapor pressure deficit (VPD), and evaporative fraction were calculated. Daily 13:00 temperature and VPD gradients with elevation along the forested slope were calculated on days with data from at least 3 of the 5 sites (617, 675, 794, 904 and 1006 m), from April 2014 to November 2018. Cloud immersion frequency data are given for sites having the most complete records (675 m and 1006 m), representing the forested mountain slope near minimum cloud base altitude and the highest elevation in eastern Puerto Rico, respectively. Time-lapse camera images at 30-minute intervals were used to produce a binary series of cloud-immersed or clear conditions in the forest from April 2014 - November 2018. Briefly, contrast, luminance and colorfulness of daytime (color) and nighttime (grayscale) images were analyzed to determine cloud presence at the forested sites (methods in Bassiouni et al., 2017). Daily rainfall data and calculated long-term (27-year) semi-monthly mean rainfall amounts are given for Rio Icacos rain gage (USGS National Water Information System, site 50075000, 2019), for use in calculating departure from long-term mean rainfall in related publications. Also given are calculated data on the frequency of lowest-level cloud base observations below 1006 m altitude, from hourly ceilometer records at Roosevelt Roads, PR located at the coast to the east of the study area (NOAA National Centers for Environmental Information, 2020). These data are supplementary to Scholl et al., 2021. References: Bassiouni, M., Scholl, M. A., Torres-Sanchez, A. J., & Murphy, S. F. (2017). A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography. Agricultural and Forest Meteorology, 243, 100-112. doi:10.1016/j.agrformet.2017.04.010. Scholl, M.A., Bassiouni, M., and Torres-Sanchez, A.J., 2021, Drought stress and hurricane defoliation influence mountain clouds and moisture recycling in a tropical forest, Proceedings of the National Academy of Sciences, https://doi.org/10.1073/pnas.2021646118. National Centers for Environmental Information, N. (2019). Local Climatological Data, Roosevelt Roads station WBAN 11630. Retrieved February 2020 from https://www.ncdc.noaa.gov/cdo-web/datasets/LCD/stations/WBAN:11630/detail. National Water Information System, U.S. Geological Survey, USGS 50075000 RIO ICACOS NR NAGUABO, PR, Summary of Available Data. Retrieved November 2019 from https://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=50075000.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:5f7cc24f82ce1d74e7db5531
Data Last Modified 20210202
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
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Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -66.0059,18.0806,-65.5444,18.5004
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 2e5b99327c5136932698acffbf303802064c31ae084acd46e6713608cde30997
Source Schema Version 1.1
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