main: Main analysis steering function

In tamsinedwards/emulandice: Analysis code for Edwards et al. (2021), "Projected land ice contributions to twenty-first-century sea level rise", Nature.

Description

Main analysis steering function

Usage

main(
  expt = "default",
  ice_sources = c("GrIS", "AIS", "Glaciers"),
  years = 2100,
  dataset = "main",
  N_temp = 1000L,
  temp_prior = "FAIR",
  fair_ssps = NA,
  mean_temp = FALSE,
  gamma0_prior = "joint",
  mean_melt = FALSE,
  collapse_prior = "both",
  risk_averse = FALSE,
  min_res_is = c(NA, NA),
  select_ism = "all",
  select_gcm = "all",
  history_match = FALSE,
  exclude_open = FALSE,
  impute_high = FALSE,
  do_model_comp = FALSE,
  do_covar_fn = NA,
  do_covar_alpha = NA
)

Arguments

expt	Analysis to run: e.g. "SA", "timeseries"
ice_sources	Ice sources: GrIS, AIS, Glaciers
years	Year(s) to predict: default is 2100, time series is 2015:2100
dataset	Forcing dataset: 2019, main, IPCC
N_temp	Number of climate values in prior: 501 code testing, 1000L default for tests, 5000L projections, over-ridden for timeseries
temp_prior	Climate ensemble for prior: FAIR, CMIP6
fair_ssps	Restrict FAIR SSPs run: NA; or e.g. c("SSP126", "SSP585"); must be set for IPCC timeseries runs
mean_temp	Use mean temperature value or ice sheets: T/F
gamma0_prior	Gamma0 prior distribution for AIS: "joint", "MeanAnt", "PIGL", "unif", "unif_high"
mean_melt	Use mean kappa/gamma0 value for ice sheets: T/F
collapse_prior	Ice shelf collapse prior: both, on, off
risk_averse	Risk-averse settings: T/F
min_res_is	Set minimum spatial resolution for ice sheets in km (GIS, AIS): default c(8, 32)
select_ism	Select subset of ice sheet models by defined list: balanced, single, single_low, high_sensitivity, larmip
select_gcm	Select subset of gcms by defined list: high_five, high_two
history_match	Select subset of ice sheet models using IMBIE observations: T/F
exclude_open	Exclude open parameterisation Antarctic ice sheet models: T/F
impute_high	Use higher value of basal melt for open parameterisation Antarctic models: T/F
do_model_comp	Run stepwise model comparison: T/F
do_covar_fn	Set fixed covariance function for all regions: matern_5_2, matern_3_2, pow_exp
do_covar_alpha	Set fixed pow_exp exponent for all regions: 0.1, 1.0, 1.9

tamsinedwards/emulandice documentation built on May 1, 2021, 5:25 a.m.