Package: ropenmeteo 0.1

Quinn Thomas

ropenmeteo: Wrappers for 'Open-Meteo' API

Wrappers for the Application Programming Interface from the <https://open-meteo.com> project along with helper functions. The <https://open-meteo.com> project streamlines access to a range of publicly historical and forecast meteorology data from agencies across the world.

Authors:Quinn Thomas [aut, cre, cph]

ropenmeteo_0.1.tar.gz
ropenmeteo_0.1.zip(r-4.5)ropenmeteo_0.1.zip(r-4.4)ropenmeteo_0.1.zip(r-4.3)
ropenmeteo_0.1.tgz(r-4.4-any)ropenmeteo_0.1.tgz(r-4.3-any)
ropenmeteo_0.1.tar.gz(r-4.5-noble)ropenmeteo_0.1.tar.gz(r-4.4-noble)
ropenmeteo_0.1.tgz(r-4.4-emscripten)ropenmeteo_0.1.tgz(r-4.3-emscripten)
ropenmeteo.pdf |ropenmeteo.html✨
ropenmeteo/json (API)
NEWS

# Install 'ropenmeteo' in R:

install.packages('ropenmeteo', repos = c('https://flare-forecast.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/flare-forecast/ropenmeteo/issues

On CRAN:

4.62 score 14 scripts 233 downloads 11 exports 69 dependencies

Last updated 3 months agofrom:67a0568505. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 02 2024
R-4.5-win	OK	Nov 02 2024
R-4.5-linux	OK	Nov 02 2024
R-4.4-win	OK	Nov 02 2024
R-4.4-mac	OK	Nov 02 2024
R-4.3-win	OK	Nov 02 2024
R-4.3-mac	OK	Nov 02 2024

Exports:add_longwave convert_to_efi_standard daily_to_hourly get_climate_projections get_ensemble_forecast get_forecast get_historical_weather get_seasonal_forecast glm_variables six_hourly_to_hourly write_glm_format

Dependencies:askpass cli colorspace commonmark cpp11 curl dplyr fansi farver forecast fracdiff generics ggplot2 ggtext glue gridtext gtable httr2 imputeTS isoband jpeg jsonlite labeling lattice lifecycle lmtest lubridate magrittr markdown MASS Matrix mgcv munsell nlme nnet openssl pillar pkgconfig png purrr quadprog quantmod R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang scales stinepack stringi stringr sys tibble tidyr tidyselect timechange timeDate tseries TTR urca utf8 vctrs viridisLite withr xfun xml2 xts zoo

Example Usage

Rendered fromexample_usage.Rmdusingknitr::rmarkdownon Nov 02 2024.

Last update: 2024-08-27
Started: 2024-08-21

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add longwave to ensemble forecast dataframe using Idso and Jackson (1969). Requires cloud cover and temperature variables in input data frame.	add_longwave
Convert units and names to CF and Ecological Forecasting Initiative standard	convert_to_efi_standard
Convert daily climate projections to hourly time-step	daily_to_hourly
Download point-level climate projections using open-meteo API	get_climate_projections
Download point-level ensemble weather forecasting using open-meteo API	get_ensemble_forecast
Download point-level ensemble weather forecasting using open-meteo API	get_forecast
Download point-level historical weather (ERA5) using open-meteo API	get_historical_weather
Download point-level seasonal weather forecast using open-meteo API	get_seasonal_forecast
Get set of variables required for the GLM model	glm_variables
Convert 6 hour seasonal forecast to hourly time-step	six_hourly_to_hourly
Write ensemble forecast dataframe to General Lake Model formatted csv files	write_glm_format