Drought index using micrometeorological data from Embrapa weather station at Adolpho Ducke Reserve in Manaus, Brazil

Pastorello, Gilberto; Lima, Adriano; Meng, Lin; Negron-Juarez, Robinson; Koven, Charlie; Chambers, Jeff

doi:10.15486/ngt/1958257

Title: Drought index using micrometeorological data from Embrapa weather station at Adolpho Ducke Reserve in Manaus, Brazil

Dataset
Other Related Research

Abstract

This dataset includes daily resolution time series data including precipitation, minimum and maximum daily air temperature, and air relative humidity downloaded from the Embrapa InfoClima portal (https://www.cnpaf.embrapa.br/infoclima/), with data for the Adolpho Ducke Reserve climatological station in Manaus, Brazil, for the period of January 1, 1980 to December 31, 2016. Using this precipitation record, a Standardized Precipitation Index (SPI) was calculated and added to the dataset, using daily resolution for 180 day intervals and with 20 years for calibration (1980-1999) and adopting a gamma distribution. These data were applied as a proxy for analyzes of precipitation and SPI for the Manaus ZF2 Research station, located approximately 50 Km North of the Adolpho Ducke Reserve. Data are included in a .csv file, and the text file Drought-Indices-Embrapa-Ducke_met_spi_headers.txt provides descriptions of the data file headers.

Authors:

Pastorello, Gilberto; Lima, Adriano; Meng, Lin; Negron-Juarez, Robinson; Koven, Charlie; Chambers, Jeff

Lawrence Berkeley National Laboratory; Lawrence Berkeley National Lab
National Institute for Amazon Research (INPA)
Lawrence Berkeley National Laboratory

Publication Date:: Sun Dec 31 23:00:00 EST 2023

Other Number(s):: NGT0199

DOE Contract Number:: AC02-05CH11231

Research Org.:: Next-Generation Ecosystem Experiments Tropics; Lawrence Berkeley National Laboratory (LBNL); Brazilian Agricultural Research Corporation (Embrapa)

Sponsoring Org.:: Lawrence Berkeley National Laboratory (LBNL); Brazilian Agricultural Research Corporation (Embrapa)

Subject:: 54 ENVIRONMENTAL SCIENCES

OSTI Identifier:: 1958257

DOI:: https://doi.org/10.15486/ngt/1958257

Citation Formats


                    Pastorello, Gilberto, Lima, Adriano, Meng, Lin, Negron-Juarez, Robinson, Koven, Charlie, and Chambers, Jeff. Drought index using micrometeorological data from Embrapa weather station at Adolpho Ducke Reserve in Manaus, Brazil.  United States: N. p., 2023. 
        Web.  doi:10.15486/ngt/1958257.

Copy to clipboard


                    Pastorello, Gilberto, Lima, Adriano, Meng, Lin, Negron-Juarez, Robinson, Koven, Charlie, & Chambers, Jeff. Drought index using micrometeorological data from Embrapa weather station at Adolpho Ducke Reserve in Manaus, Brazil.  United States.  doi:https://doi.org/10.15486/ngt/1958257

Copy to clipboard


                    Pastorello, Gilberto, Lima, Adriano, Meng, Lin, Negron-Juarez, Robinson, Koven, Charlie, and Chambers, Jeff. 2023.  
"Drought index using micrometeorological data from Embrapa weather station at Adolpho Ducke Reserve in Manaus, Brazil".  United States.  doi:https://doi.org/10.15486/ngt/1958257.  https://www.osti.gov/servlets/purl/1958257. Pub date:Sun Dec 31 23:00:00 EST 2023

Copy to clipboard


                    
@article{osti_1958257,

  title        = {Drought index using micrometeorological data from Embrapa weather station at Adolpho Ducke Reserve in Manaus, Brazil},

  author       = {Pastorello, Gilberto and Lima, Adriano and Meng, Lin and Negron-Juarez, Robinson and Koven, Charlie and Chambers, Jeff},

  abstractNote = {This dataset includes daily resolution time series data including precipitation, minimum and maximum daily air temperature, and air relative humidity downloaded from the Embrapa InfoClima portal (https://www.cnpaf.embrapa.br/infoclima/), with data for the Adolpho Ducke Reserve climatological station in Manaus, Brazil, for the period of January 1, 1980 to December 31, 2016. Using this precipitation record, a Standardized Precipitation Index (SPI) was calculated and added to the dataset, using daily resolution for 180 day intervals and with 20 years for calibration (1980-1999) and adopting a gamma distribution. These data were applied as a proxy for analyzes of precipitation and SPI for the Manaus ZF2 Research station, located approximately 50 Km North of the Adolpho Ducke Reserve. Data are included in a .csv file, and the text file Drought-Indices-Embrapa-Ducke_met_spi_headers.txt provides descriptions of the data file headers.},

  doi          = {10.15486/ngt/1958257},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Dec 31 23:00:00 EST 2023},

  month        = {Sun Dec 31 23:00:00 EST 2023}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15486/ngt/1958257

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Forcing data (CESM2/CMIP6) for projection of drought impacts (2015-2100) at the K34 site in Manaus, Brazil

Dataset Meng, Lin ; Koven, Charlie ; Pastorello, Gilberto ; ...

Historical and projected output data variables extracted and derived from Community Earth System Model 2 (CESM2) runs from the Coupled Model Intercomparison Project Phase 6 (CMIP6) archive. CESM2 is a fully coupled Earth system model used in simulations of Earth's past, present, and future climates (Danabasoglu et al., 2020). Variables in this dataset are in six-hourly resolution, and include air temperature (both in K and ℃), specific humidity (kg kg-1), air pressure (Pa), relative humidity (%), and vapor pressure deficit (kPa). CESM2 was the only CMIP6 model that provided VPD at the high temporal resolution required for this analysis. Datamore »« less
Leaf temperature raw data, 2015 - 2017, at Manaus, Brazil

Dataset Jardine, Kolby ; Gimenez, Bruno ; Negron-Juarez, Robinson ; ...

This data package contains raw leaf surface temperature data from the NGEE Tropics K34 tower site on a plateau near Manaus, Brazil, including automated and manually collected time series data on leaf surface temperature (thermocouples, IR radiometer, thermocamera). Leaf surface temperature (LST) was determined throughout diurnal periods using individual type T thermocouples (Omega Engineering) on 8 individual leaves of a single tree. Mature leaves at the same height and general area near the tower were selected. LST measurements were taken every 15 s and recorded on a field portable self-powered data logger (OM-CP-OCTTEMP-A, Omega Engineering). Measurements were stopped in themore »« less
Stem CO2 Efflux measurements from Manaus, Brazil, 2017

Dataset Jardine, Kolby ; Cobello, Leticia

This data was collected in order to test the effects of temperatures on the autotrophic respiratory process in the tropics. This data package contains raw real-time stem CO2 efflux files during the night and day from 3 different species near the K34 in Manaus during the day and the night. Raw and derived data files are included in the format of .csv and .xlsx and information about the canopy trees and temperatures recorded can be found in the field event log using microsoft excel. The data was collected from three canopy dominant trees in the central Amazon near the K34more »« less
Weather Data from BSEC Weather Stations

Dataset Waugh, Darryn ; Lei, Hao ; Collins, Shamara ; ...

This dataset provides hourly measurements of temperature, humidity, rainfall, wind, and sunlight at Ambient Weather and OttHydro stations across Baltimore city. These surface weather stations were deployed by the Baltimore Social-Environmental Collaborative (BSEC) Urban Integrated Field Laboratory (UIFL) project, funded by the Department of Energy (DOE). This dataset will be periodically updated to include more stations and recent observations when available. Data File Information This dataset contains surface weather measurements data in comma-separated value (CSV) format and documents that describe the weather stations, locations, and measured parameters and units. data/BSEC-[STATIONID]_[SENSORTYPE]_hourly_[YEAR].csv Surface weather measurements data in CSV format, where STATIONID indicatesmore »« less
Weather Data from BSEC Weather Stations

Dataset Waugh, Darryn ; Lei, Hao ; Collins, Shamara ; ...

This dataset provides measurements of temperature, humidity, rainfall, wind, and sunlight at Ambient Weather and OttHydro stations across Baltimore city. These surface weather stations were deployed by the Baltimore Social-Environmental Collaborative (BSEC) Urban Integrated Field Laboratory (UIFL) project, funded by the Department of Energy (DOE). This dataset currently contains measurements from 2023 to June 2025 and will be periodically updated to include more stations and recent observations when available. Data File Information This dataset contains surface weather measurements data in comma-separated value (CSV) format and documents that describe the weather stations, locations, and measured parameters and units. data/[TIMEAVG]/[YEAR]/BSEC-[STATIONID]_[SENSORTYPE]_[TIMEAVG]_[YEAR].csv Surface weathermore »« less

Similar Records