Climate predictors - 40-year average (1979-2018)

Données et ressources

Info additionnelle

Champ Valeur
Dernière modification décembre 2, 2024, 17:21 (TU)
Créé le novembre 7, 2024, 13:01 (TU)
E-mail beatriz.martin@randbee.com
Langue Eng
Title in original language Climate predictors in ponds - 40-year average (1979-2018)
Original language English
Abstract Statistics computed for the 40-year climatology (1979-2018): Mean, 25th and 75th quartiles Variables: Temperature annual mean, BIO01 - Annual mean of the monthly mean temperature at 2 m above the surface. This indicator corresponds to the official BIOCLIM variable BIO01 that is used in ecological niche modelling. Precipitation rate, BIO12 - Annual mean of the monthly mean precipitation rate (both liquid and solid phases). Aridity, annual mean - Monthly potential evaporation divided by the monthly mean precipitation, averaged over the year. Daily maximum temperature of the warmest month, BIO05 - Maximum daily temperature of the month with the highest monthly mean of daily mean temperature. This indicator corresponds to the official BIOCLIM variable BIO05. Daily minimum temperature of the coldest month, BIO06 - Minimum daily temperature of the month with the lowest monthly mean of daily mean temperature. This indicator corresponds to the official BIOCLIM variable BIO06. Precipitation in the driest quarter, BIO17 - The mean of monthly mean precipitation amount during the driest quarter, defined as the quarter with the lowest monthly mean (of the daily mean) precipitation using a moving average of 3 consecutive months. To compute the total precipitation sum over the month, a conversion factor should be applied of 3600x24x91.3 (average number of days per quarter)x1000. This indicator corresponds to the official BIOCLIM variable BIO17. Precipitation seasonality (Coefficient of Variation), BIO15 - Annual coefficient of variation of the monthly precipitation sums. This indicator corresponds to the official BIOCLIM variable BIO15. Temperature annual range (BIO05 - BIO06), BIO07 - Maximum temperature of the warmest month minus minimum temperature of the coldest month. This indicator corresponds to the official BIOCLIM variable BIO07. Seasonality (monthly air temperature standard deviation*100), BIO04 - Standard deviation of the monthly mean temperature multiplied by 100. This indicator corresponds to the official BIOCLIM variable BIO04. Dry day, annual sum - Number of days within a year where total daily precipitation does not exceed 2 mm. Dry spells, maximum annual length - Maximum number of consecutive dry spells days within a year. Dry spells are considered periods of uninterrupted consecutive dry days (i.e., number of days within a year where total daily precipitation does not exceed 2 mm). Dry spells, annual number -with min 5 days- - Number of dry spells with a minimum of 5 days that occur in a year. Dry spells are considered periods of uninterrupted consecutive dry days (i.e., number of days within a year where total daily precipitation does not exceed 2 mm). Main data processing: Extraction of the nearest cell value (i.e., nearest neighbour method) to each pond location in PONDERFUL using the package stars in R. Pebesma E, Bivand R (2023). Spatial Data Science: With applications in R. Chapman and Hall/CRC, London. doi:10.1201/9780429459016, https://r-spatial.org/book/.
Licence Creative Commons Attribution
Creation date 2023-06-16
Publication date 2024-11-07
Last revision date 2023-06-16
Free keywords climate; predictors
Responsible party Organisation: Randbee Consultants
Email: beatriz.martin@randbee.com
Role: Processor
Related publications Data sources: Wouters, H., (2021): Downscaled bioclimatic indicators for selected regions from 1979 to 2018 derived from reanalysis. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.fe90a594 (Accessed on 12-06-2023) Wouters, H., (2021): Global bioclimatic indicators from 1979 to 2018 derived from reanalysis. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.bce175f0 (Accessed on 12-06-2023).