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LBA-ECO CD-03 Mesoscale Meteorological Data, Santarem Region, Para, Brazil: 1998-2006

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/944
Version1
Project
Published2009-09-29
Usage789 downloads
Citations2 publications cited this dataset

Description

A mesoscale network has been set up in the Santarem region of Para, Brazil. This network consists of eight meteorological stations named Belterra, Km 117 (Fazenda Sr. Davi), Mojui, Jamaraqua, Guarana, Embrapa (Cacoal Grande), Vila Franca and Sudam (Curua Una). Belterra and Km117 stations have been almost continuously collecting data since August, 1998, respectively. Mojui, Jamaraqua, and Guarana have been collecting data since July, 2000. Embrapa, Vila Franca and Sudam stations have been collecting data since 2002. Data are presented in 52 individual comma-separated ASCII files. Each file contains data from one calendar year for one site; both site and year are identified clearly in the data file name and all files follow the same header information and organizational structure. Measurements include air temperature and pressure, wind speed and direction, relative humidity, downward solar radiation, and at some stations soil temperature and moisture.

Science Keywords

  • ATMOSPHERE
  • ATMOSPHERIC PRESSURE
  • LAND SURFACE
  • SOILS
  • SOIL MOISTURE/WATER CONTENT
  • ATMOSPHERE
  • ATMOSPHERIC RADIATION
  • SOLAR RADIATION
  • ATMOSPHERE
  • ATMOSPHERIC TEMPERATURE
  • SURFACE TEMPERATURE
  • AIR TEMPERATURE
  • ATMOSPHERE
  • ATMOSPHERIC WINDS
  • ATMOSPHERE
  • ATMOSPHERIC WATER VAPOR
  • WATER VAPOR INDICATORS
  • HUMIDITY
  • ATMOSPHERE
  • PRECIPITATION
  • PRECIPITATION AMOUNT
  • LAND SURFACE
  • SOILS
  • SOIL TEMPERATURE

Data Use and Citation

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Crosscite Citation Formatter
Fitzjarrald, D.R., R.K. Sakai, and O.L.L. de Moraes. 2009. LBA-ECO CD-03 Mesoscale Meteorological Data, Santarem Region, Para, Brazil: 1998-2006. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/944

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Data Files

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Companion Files

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Dataset has 1 companion files.

  • CD03_Mesoscale_Meteorology.pdf