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

Author(s): Pastorello G; Lima A; Meng L; Negron-Juarez R; Koven C; Chambers J


Dataset Information

Site ID: BR-Ma2

Site Name: Manaus - ZF2 K34

Variables: Air Temperature; Drought index; Precipitation (rainfall); Relative humidity

Date Range: Jan. 1, 1980 - Dec. 31, 2016

Description: 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.

QA/QC: Full QA-QC

Methods Description: The climatological data were quality controlled and gapfilled at the source of the data (Embrapa InfoClima 2023). The SPI was calculated using the climate_indices Python library (Adams 2023), a codebase shared with drought indices published by Drought.gov, which is maintained by the National Integrated Drought Information System (NIDIS) and National Oceanic and Atmospheric Administration (NOAA). Variants of the configurations (resolution, intervals, calibration period, and distribution) were evaluated and the parameters adopted here, which are also commonly adopted for long-term SPI calculations, showed lower noise and fewer numerical gaps, facilitating its use.

Access Level: Public

Originating Institution(s): Lawrence Berkeley National Laboratory (LBNL); Brazilian Agricultural Research Corporation (Embrapa)

Sponsor Organization(s): Brazilian Agricultural Research Corporation (Embrapa)

Contact: Pastorello, Gilberto - Lawrence Berkeley National Laboratory (gzpastorello@lbl.gov)


Data Download

Version: 1.0

Dataset Citation: Pastorello G; Lima A; Meng L; Negron-Juarez R; Koven C; Chambers J (2023): Drought index using micrometeorological data from Embrapa weather station at Adolpho Ducke Reserve in Manaus, Brazil. 1.0. NGEE Tropics Data Collection. (dataset). https://doi.org/10.15486/ngt/1958257

Acknowledgement: None

Data Link: Download Dataset

NGEE Tropics data policy.


Reference:

Embrapa InfoClima (2023). Embrapa InfoClima data portal (in Portuguese). https://www.cnpaf.embrapa.br/infoclima/ (accessed Feb 2023)
Adams, J. (2023). climate_indices, an open source Python library providing reference implementations of commonly used climate indices. https://github.com/monocongo/climate_indices (accessed Feb 2023)