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Create CalAdapt Download Functions for LOCA downscaled CMIP-5 #3446

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3 changes: 2 additions & 1 deletion CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@ For more information about this file see also [Keep a Changelog](http://keepacha

- Documentation of `make` options including addition of `make help`
- Add make option to document a single package with `make documentation pathto/package`
- Add caladapt_download_loca functions #3445

### Fixed
- updated github action to build docker images
Expand All @@ -19,7 +20,7 @@ For more information about this file see also [Keep a Changelog](http://keepacha

### Changed

- Is is now easier to run PEcAn workflows with no active database connection by setting `settings$database$bety$write` to FALSE or missing (#3398, #3419). In this mode you are reponsible for providing the correct paths/ids for all needed files, and run metadata are not written back to the database.
- It is now easier to run PEcAn workflows with no active database connection by setting `settings$database$bety$write` to FALSE or missing (#3398, #3419). In this mode you are responsible for providing the correct paths/ids for all needed files, and run metadata are not written back to the database.
- The following components have changed their licensing. With approval of all their contributors, we now provide them under a BSD 3-clause license rather than the previously used NCSA Open Source license. As a reminder, we intend to relicense the entire system and this list will expand as we gather permission from the relevant copyright owners.
* `apps/api`
* Shiny apps `dbsync`, `BenchmarkReport`, `Data-Ingest`, `Elicitation`, `ForecastingDashboard`, `global-sensitivity`, `Pecan.depend`, `SDAdashboard`, and `ViewMet`
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3 changes: 3 additions & 0 deletions CONTRIBUTING.md
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Expand Up @@ -95,6 +95,9 @@ Your PR should include:
- CITATION.cff: if you are making or have made a non-trivial contribution (please ask if unsure; our approach is inclusive), add your name to the author section.
- NEWS.md: for each package
- CHANGELOG.md: add changes to [Unreleased] section
- Tests for any features that should remain working in the future
- Documentation files generated by `devtools::document()`
- Updates to documentation if applicable.


### Push your changes up to GitHub
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1 change: 1 addition & 0 deletions docker/depends/pecan_deps_from_github.txt
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@ MikkoPeltoniemi/Rpreles
RemkoDuursma/Maeswrap
ropensci/geonames
ropensci/nneo
github::ucanr-igis/caladaptr
ropensci/traits
SticsRPacks/SticsOnR
SticsRPacks/SticsRFiles
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1 change: 1 addition & 0 deletions docker/depends/pecan_package_dependencies.csv
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Expand Up @@ -11,6 +11,7 @@
"BayesianTools","*","modules/rtm","Imports",FALSE
"BioCro","*","models/biocro","Suggests",FALSE
"bit64","*","base/db","Suggests",FALSE
"caladaptr","*","modules/data.atmosphere","Imports",FALSE
"coda","*","models/maespa","Suggests",FALSE
"coda","*","models/sipnet","Suggests",FALSE
"coda","*","modules/assim.sequential","Imports",FALSE
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2 changes: 2 additions & 0 deletions modules/data.atmosphere/DESCRIPTION
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Expand Up @@ -24,6 +24,7 @@ Imports:
amerifluxr,
assertthat,
arrow,
caladaptr,
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Recommend making caladaptr a "suggests" since it's only used by one function outside of the core workflow

curl,
dplyr (>= 0.8.1),
geonames (> 0.998),
Expand Down Expand Up @@ -77,6 +78,7 @@ Remotes:
github::chuhousen/amerifluxr,
github::ropensci/geonames,
github::ropensci/nneo
github::ucanr-igis/caladaptr
License: BSD_3_clause + file LICENSE
Copyright: Authors
LazyLoad: yes
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6 changes: 6 additions & 0 deletions modules/data.atmosphere/NEWS.md
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@@ -1,3 +1,9 @@
# PEcAn.data.atmosphere 1.8.1

## Added

* `download_caladapt_loca` to download rasters from Cal-Adapt LOCA dataset given a spatial point or polygon object.

# PEcAn.data.atmosphere 1.8.0.9000

## Fixed
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297 changes: 297 additions & 0 deletions modules/data.atmosphere/R/download_caladapt_loca.R
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@@ -0,0 +1,297 @@
#' Retrieve Cal-Adapt climate raster for a polygon or a point
#'
#' @description
#' Fetches climate raster data from Cal-Adapt for a specified polygon or point,
#' GCM, emission scenario, and time period. Supports LOCA (CMIP5-based) data,
#' and ensures that the geometry is within the bounding box of valid coordinates
#' for California.
#'
#' @references
#' - [Cal-Adapt](https://caladapt.org/)
#' - [Cal Adapt Data Catalog Documentation](https://berkeley-gif.github.io/caladapt-docs/data-catalog.html)
#' - [Cal-Adapt Loca Data Catalog](https://albers.cnr.berkeley.edu/data/scripps/loca/met/)
#'
#' @param sf_obj An `sf`, `sfc`, or `SpatVector` row representing the points or polygon boundary
#' (required for `download_caladapt_loca_raster()`).
#' @param var Character. Climate variable to retrieve. One of "tasmax", "tasmin", "pr",
#' "swe", "baseflow", "et", "rainfall",
#' "runoff", "snowfall", "soilMoist1", "Tair".
#' @param gcm Character. GCM name. One of "HadGEM2-ES", "CNRM-CM5", "CanESM2", "MIROC5", "ACCESS1-0",
#' "CCSM4", "CESM1-BGC", "CMCC-CMS", "GFDL-CM3", "HadGEM2-CC", "ens32avg",
#' "ens32max", "ens32min".
#' @param scenario Character. Emission scenario. One of "historical", "rcp45", "rcp85". Historical (default)
#' period covers 1950-2005. RCP45 and RCP85 scenarios cover 2006-2100.
#' @param period Character. Time aggregation. One of "day", "month", "year", "30yavg".
#' @param start_year Numeric. Start year for data retrieval.
#' @param end_year Numeric. End year for data retrieval.
#' @param out_dir Character. Output directory path to store downloaded data.
#' @param raster_path Character. (Optional) File path to a local raster file. If provided, the function
#' will load the raster from this path instead of using the Cal-Adapt API.
#'
#' @return A tibble row with appended climate raster in the `raster` column.
#' For points, the row will also include `lat` and `lon` columns.
#'
#' @examples
#' \dontrun{
#' # Polygon-level example
#' yolo_polygon <- ca_aoipreset_geom("counties") |>
#' filter(state_name == "California") |>
#' filter(name == "Yolo") |>
#' select(state_name, county_name = name, geom) |>
#' st_transform(4326)
#'
#' polygon_rasters <- download_caladapt_loca(
#' sf_obj = yolo_polygon,
#' var = "pr",
#' gcm = "CNRM-CM5",
#' scenario = "rcp85",
#' period = "year",
#' start_year = 2006, end_year = 2100,
#' out_dir = "data"
#' )
#' coords <- data.frame(lat = 36, lon = -120) |>
#' st_as_sf(coords = c("lon", "lat"), crs = 4326)
#' point_rasters <- download_caladapt_loca_raster(
#' sf_obj = coords,
#' var = "pr",
#' gcm = "CNRM-CM5",
#' scenario = "rcp85",
#' period = "year",
#' start_year = 2006, end_year = 2100,
#' out_dir = "data"
#' )
#' }
download_caladapt_loca_raster <- function(sf_obj,
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I get the reason for accepting a sf_obj instead of just lat/lon, which is non-standard for PEcAn met files, but beyond that I'd highly recommend doing everything else you an to adhere to workflow norms and patterns. These include naming the function download. and having the required inputs start with (outfolder, start_date, end_date), followed by spatial information, followed by product-specific variables. This order is also consistent with R norms of having variables that have defaults AFTER those that don't have a default (start/end). To that end, I'd recommend dropping the default on outfolder (what you call outdir) and renaming start_year and end_year to start_date and end_date

var = "pr",
gcm = "HadGEM2-ES",
scenario = "historical",
period = "year",
start_year, end_year,
out_dir = "data",
raster_path = NULL) {
# First validate the spatial object.
sf_obj <- .validate_sf_obj(sf_obj)
.validate_caladapt_fn_inputs(var, gcm, scenario, period, start_year, end_year, sf_obj, raster_path, out_dir)

geom_type <- unique(sf::st_geometry_type(sf_obj))

# If polygon and large area, split into blocks.
if (any(c("POLYGON", "MULTIPOLYGON") %in% geom_type)) {
poly_area <- sf::st_area(sf_obj)
if (poly_area > units::set_units(2000, "mi^2")) {
polygon_blocks <- caladaptr::ca_biggeom_blocks(sf_obj, block_area_mi2 = 2000)
if (nrow(polygon_blocks) > 1) {
results <- purrr::map_dfr(polygon_blocks$geom, function(block_geom) {
block <- sf::st_as_sf(tibble::tibble(geom = list(block_geom)),
crs = sf::st_crs(sf_obj))
request <- caladaptr::ca_apireq() |>
caladaptr::ca_loc_sf(block) |>
caladaptr::ca_gcm(gcm) |>
caladaptr::ca_scenario(scenario) |>
caladaptr::ca_period(period) |>
caladaptr::ca_cvar(var) |>
caladaptr::ca_years(start = start_year, end = end_year)
y <- request |> caladaptr::ca_getrst_stars(out_dir = out_dir)
block |> dplyr::mutate(
var = var,
gcm = gcm,
scenario = scenario,
period = period,
start_year = start_year,
end_year = end_year,
raster = y
)
})
return(results)
}
}
}

request <- caladaptr::ca_apireq() |>
caladaptr::ca_loc_sf(sf_obj) |>
caladaptr::ca_gcm(gcm) |>
caladaptr::ca_scenario(scenario) |>
caladaptr::ca_period(period) |>
caladaptr::ca_cvar(var) |>
caladaptr::ca_years(start = start_year, end = end_year)

rast_file <- .try_get_raster(request, out_dir)
if (is.null(rast_file)) { rast_file <- NA }

res <- tibble::tibble(
var = var,
gcm = gcm,
scenario = scenario,
period = period,
start_year = start_year,
end_year = end_year,
raster = rast_file
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Are you planning on writing separate functions convert the raster to netCDF CF and extract info from it?

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@dlebauer dlebauer Feb 20, 2025

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yep download --> met2cf --> met2model

but next step is to write the download functions for the WRF downscaled CMIP-6. Hopefully (🤞🏻) met2cf.caladapt will work on both.

)
return(res)
}

## Helper functions (using PEcAn.logger instead of stop)

.validate_caladapt_fn_inputs <- function(var, gcm, scenario, period, start_year, end_year, sf_obj, raster_path, out_dir) {
.validate_dates(scenario, start_year, end_year)
.validate_gcm(gcm)
.validate_scenario(scenario)
.validate_period(period)
.validate_var(var)
.validate_raster_path(raster_path)
.validate_out_dir(out_dir)
invisible(TRUE)
}

.validate_dates <- function(scenario, start_year, end_year) {
if (start_year > end_year) {
PEcAn.logger::logger.error("Start year must be less than or equal to end year")
return(invisible(NULL))
}
if (start_year < 1950 || end_year > 2100) {
PEcAn.logger::logger.error("Start year must be >= 1950 and end year <= 2100")
return(invisible(NULL))
}
if (scenario == "historical" && (start_year < 1950 || end_year > 2005)) {
PEcAn.logger::logger.error("Historical period only covers 1950-2005")
return(invisible(NULL))
}
if (scenario %in% c("rcp45", "rcp85") && (start_year < 2006 || end_year > 2100)) {
PEcAn.logger::logger.error("RCP45 and RCP85 scenarios cover 2006-2100")
return(invisible(NULL))
}
invisible(TRUE)
}

.validate_gcm <- function(gcm) {
if (!exists("gcms", envir = environment())) {
data(gcms, package = "caladaptr", envir = environment())
}
if (!gcm %in% gcms) {
PEcAn.logger::logger.error("Invalid GCM name, must be one of: ", paste(gcms, collapse = ", "))
return(invisible(NULL))
}
invisible(TRUE)
}

.validate_scenario <- function(scenario) {
if (!exists("scenarios", envir = environment())) {
data(scenarios, package = "caladaptr", envir = environment())
}
if (!scenario %in% scenarios) {
PEcAn.logger::logger.error("Invalid scenario, must be one of: ", paste(scenarios, collapse = ", "))
return(invisible(NULL))
}
invisible(TRUE)
}

.validate_period <- function(period) {
if (!exists("periods", envir = environment())) {
data(periods, package = "caladaptr", envir = environment())
}
if (!period %in% periods) {
PEcAn.logger::logger.error("Invalid period, must be one of: ", paste(periods, collapse = ", "))
return(invisible(NULL))
}
invisible(TRUE)
}

.validate_var <- function(var) {
if (!exists("cvars", envir = environment())) {
data(cvars, package = "caladaptr", envir = environment())
}
if (!var %in% cvars) {
PEcAn.logger::logger.error("Invalid variable, must be one of: ", paste(cvars, collapse = ", "))
return(invisible(NULL))
}
invisible(TRUE)
}

.validate_raster_path <- function(raster_path) {
if (!is.null(raster_path) && !is.character(raster_path)) {
PEcAn.logger::logger.error("Raster path must be a character string")
return(invisible(NULL))
}
if (!is.null(raster_path) && !file.exists(raster_path)) {
PEcAn.logger::logger.error("The specified raster file does not exist: ", raster_path)
return(invisible(NULL))
}
invisible(TRUE)
}

.validate_out_dir <- function(out_dir) {
if (!is.character(out_dir)) {
PEcAn.logger::logger.error("Output directory must be a character string")
return(invisible(NULL))
}
if (!dir.exists(out_dir)) {
dir.create(out_dir, recursive = TRUE)
PEcAn.logger::logger.info("Created new output directory: ", out_dir)
}
invisible(TRUE)
}

.validate_sf_obj <- function(sf_obj) {
if (!inherits(sf_obj, c("sf", "sfc"))) {
if (inherits(sf_obj, "SpatVector")) {
sf_obj <- sf::st_as_sf(sf_obj)
} else {
PEcAn.logger::logger.error("Points or polygon must be an 'sf', 'sfc' or 'SpatVector' object")
stop("Points or polygon must be an 'sf', 'sfc' or 'SpatVector' object")
}
}
if (inherits(sf_obj, "sfc")) {
sf_obj <- sf::st_sf(geometry = sf_obj)
}
if (!sf::st_is_valid(sf_obj)) {
sf_obj <- sf::st_make_valid(sf_obj)
if (!sf::st_is_valid(sf_obj)) {
PEcAn.logger::logger.error("Polygon is not valid.")
stop("Polygon is not valid.")
}
}
# California bounding box
ca_bbox <- sf::st_polygon(list(
matrix(c(-125.0, 32.0,
-113.0, 32.0,
-113.0, 44.0,
-125.0, 44.0,
-125.0, 32.0), ncol = 2, byrow = TRUE)
)) |> sf::st_sfc(crs = sf::st_crs(sf_obj))
geom_type <- unique(sf::st_geometry_type(sf_obj))
if ("POLYGON" %in% geom_type || "MULTIPOLYGON" %in% geom_type) {
intersection <- sf::st_intersection(sf_obj, ca_bbox)
intersection_area <- if (nrow(sf::st_drop_geometry(intersection)) > 0) sf::st_area(intersection) else units::set_units(0, "m^2")
if (intersection_area == units::set_units(0, "m^2")) {
PEcAn.logger::logger.error("Polygon must be within California bounding box")
stop("Polygon must be within California bounding box")
} else if (intersection_area < 0.95 * sf::st_area(sf_obj)) {
PEcAn.logger::logger.warn("Polygon is not fully within the Cal-Adapt bounding box. Intersection area: ", intersection_area, "; Polygon area: ", sf::st_area(sf_obj))
}
}
if ("POINT" %in% geom_type) {
within <- sf::st_within(sf_obj, ca_bbox, sparse = FALSE)
if (!all(within)) {
PEcAn.logger::logger.error("Point must be within the Cal-Adapt bounding box")
stop("Point must be within the Cal-Adapt bounding box")
}
}
return(sf_obj)
}

.try_get_raster <- function(request, out_dir) {
tryCatch(
{
res <- request |> caladaptr::ca_getrst_stars(out_dir = out_dir)
if (is.null(res)) NA else res
},
error = function(e) {
if (grepl("Gateway Timeout", e$message, ignore.case = TRUE)) {
PEcAn.logger::logger.warn("Gateway timeout encountered; returning NA for raster.")
NA
} else {
PEcAn.logger::logger.error(e)
}
}
)
}
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