#' cc_search options
#'
#' @name ccafs-search
#' @export
#' @details `cc_params` is a list with slots matching the
#' parameters in [cc_search()] - so you can more easily
#' get to the options you want to pass in to that function.
#'
#' The options are also listed below.
#'
#' @section file set options:
#'
#' - 12: Delta Method IPCC AR5
#' - 4: Delta Method IPCC AR4
#' - 9: MarkSim Pattern Scaling
#' - 10: Eta South America
#' - 7: PRECIS Andes
#' - 8: CORDEX
#' - 11: Disaggregation IPCC AR4
#' - 3: Delta Climgen
#' - 2: Delta Method IPCC AR4 (Climgen Data)
#' - 5: Delta Method IPCC AR4 (Stanford Data)
#' - 6: Delta Method IPCC AR3
#'
#' @section scenario options:
#'
#' - 1: Baseline
#' - 2: SRES A1B
#' - 3: SRES A2A
#' - 4: SRES B2A
#' - 5: SRES A2
#' - 6: SRES B1
#' - 7: RCP 2.6
#' - 8: RCP 4.5
#' - 9: RCP 6.0
#' - 10: RCP 8.5
#'
#' @section model options:
#'
#' - 1: baseline
#' - 42: bcc_csm1_1
#' - 43: bcc_csm1_1_m
#' - 2: bccr_bcm2_0
#' - 44: bnu_esm
#' - 45: cccma_cancm4
#' - 46: cccma_canesm2
#' - 3: cccma_cgcm2_0
#' - 4: cccma_cgcm3_1_t47
#' - 5: cccma_cgcm3_1_t63
#' - 47: cesm1_bgc
#' - 48: cesm1_cam5
#' - 49: cesm1_cam5_1_fv2
#' - 50: cesm1_fastchem
#' - 51: cesm1_waccm
#' - 52: cmcc_cesm
#' - 53: cmcc_cm
#' - 54: cmcc_cms
#' - 6: cnrm_cm3
#' - 55: cnrm_cm5
#' - 56: csiro_access1_0
#' - 57: csiro_access1_3
#' - 7: csiro_mk2
#' - 8: csiro_mk3_0
#' - 25: csiro_mk3_5
#' - 58: csiro_mk3_6_0
#' - 59: ec_earth
#' - 60: fio_esm
#' - 9: gfdl_cm2_0
#' - 61: gfdl_cm2_1
#' - 10: gfdl_cm2_1
#' - 62: gfdl_cm3
#' - 63: gfdl_esm2g
#' - 64: gfdl_esm2m
#' - 11: giss_aom
#' - 65: giss_e2_h
#' - 66: giss_e2_h_cc
#' - 67: giss_e2_r
#' - 68: giss_e2_r_cc
#' - 26: giss_model_eh
#' - 27: giss_model_er
#' - 38: hadcm_cntrl
#' - 39: hadcm_high
#' - 40: hadcm_low
#' - 41: hadcm_midi
#' - 12: hccpr_hadcm3
#' - 13: iap_fgoals1_0_g
#' - 28: ingv_echam4
#' - 37: inm_cm3_0
#' - 69: inm_cm4
#' - 14: ipsl_cm4
#' - 70: ipsl_cm5a_lr
#' - 71: ipsl_cm5a_mr
#' - 72: ipsl_cm5b_lr
#' - 73: lasg_fgoals_g2
#' - 74: lasg_fgoals_s2
#' - 15: miroc3_2_hires
#' - 16: miroc3_2_medres
#' - 75: miroc_esm
#' - 76: miroc_esm_chem
#' - 77: miroc_miroc4h
#' - 78: miroc_miroc5
#' - 17: miub_echo_g
#' - 34: mohc_hadam3p_2
#' - 35: mohc_hadam3p_3
#' - 79: mohc_hadcm3
#' - 31: mohc_hadcm3q0
#' - 33: mohc_hadcm3q16
#' - 32: mohc_hadcm3q3
#' - 80: mohc_hadgem2_cc
#' - 81: mohc_hadgem2_es
#' - 29: mpi_echam4
#' - 18: mpi_echam5
#' - 30: mpi_echam5
#' - 82: mpi_esm_lr
#' - 83: mpi_esm_mr
#' - 84: mpi_esm_p
#' - 19: mri_cgcm2_3_2a
#' - 85: mri_cgcm3
#' - 20: ncar_ccsm3_0
#' - 86: ncar_ccsm4
#' - 21: ncar_pcm1
#' - 87: ncc_noresm1_m
#' - 88: ncc_noresm1_me
#' - 36: ncep_r2
#' - 22: nies99
#' - 89: nimr_hadgem2_ao
#' - 23: ukmo_hadcm3
#' - 24: ukmo_hadgem1
#'
#' @section period options:
#'
#' - 1: 1970s
#' - 10: 1990s
#' - 2: 2000s
#' - 3: 2020s
#' - 4: 2030s
#' - 5: 2040s
#' - 6: 2050s
#' - 7: 2060s
#' - 8: 2070s
#' - 9: 2080s
#'
#' @section variable options:
#'
#' - 1: Bioclimatics
#' - 6: Diurnal Temperature Range
#' - 3: Maximum Temperature
#' - 4: Mean Temperature
#' - 5: Minimum Temperature
#' - 2: Precipitation
#' - 7: Solar Radiation
#' - 9999: Other
#'
#' @section resolution options:
#'
#' - 1: 30 seconds
#' - 2: 2.5
#' - 3: 5 minutes
#' - 4: 10 minutes
#' - 5: 30 minutes
#' - 6: 25 minutes
#' - 7: 20 minutes
cc_params <- list(
file_set = list("Delta method IPCC AR5" = 12,
"Delta method IPCC AR4" = 4,
"MarkSim Pattern Scaling" = 9,
"Eta South America" = 10,
"PRECIS Andes" = 7,
"CORDEX" = 8,
"Disaggregation IPCC AR4" = 11,
"Delta Climgen" = 3,
"Delta Method IPCC AR4 (Climgen Data)" = 2,
"Delta Method IPCC AR4 (Stanford Data)" = 5,
"Delta Method IPCC AR3" = 6),
scenario = list("Baseline" = 1,
"SRES A1B" = 2,
"SRES A2A" = 3,
"SRES B2A" = 4,
"SRES A2" = 5,
"SRES B1" = 6,
"RCP 2.6" = 7,
"RCP 4.5" = 8,
"RCP 6.0" = 9,
"RCP 8.5" = 10),
model = list("baseline" = 1,
"bcc_csm1_1" = 42,
"bcc_csm1_1_m" = 43,
"bccr_bcm2_0" = 2,
"bnu_esm" = 44,
"cccma_cancm4" = 45,
"cccma_canesm2" = 46,
"cccma_cgcm2_0" = 3,
"cccma_cgcm3_1_t47" = 4,
"cccma_cgcm3_1_t63" = 5,
"cesm1_bgc" = 47,
"cesm1_cam5" = 48,
"cesm1_cam5_1_fv2" = 49,
"cesm1_fastchem" = 50,
"cesm1_waccm" = 51,
"cmcc_cesm" = 52,
"cmcc_cm" = 53,
"cmcc_cms" = 54,
"cnrm_cm3" = 6,
"cnrm_cm5" = 55,
"csiro_access1_0" = 56,
"csiro_access1_3" = 57,
"csiro_mk2" = 7,
"csiro_mk3_0" = 8,
"csiro_mk3_5" = 25,
"csiro_mk3_6_0" = 58,
"ec_earth" = 59,
"fio_esm" = 60,
"gfdl_cm2_0" = 9,
"gfdl_cm2_1" = 61,
"gfdl_cm2_1" = 10,
"gfdl_cm3" = 62,
"gfdl_esm2g" = 63,
"gfdl_esm2m" = 64,
"giss_aom" = 11,
"giss_e2_h" = 65,
"giss_e2_h_cc" = 66,
"giss_e2_r" = 67,
"giss_e2_r_cc" = 68,
"giss_model_eh" = 26,
"giss_model_er" = 27,
"hadcm_cntrl" = 38,
"hadcm_high" = 39,
"hadcm_low" = 40,
"hadcm_midi" = 41,
"hccpr_hadcm3" = 12,
"iap_fgoals1_0_g" = 13,
"ingv_echam4" = 28,
"inm_cm3_0" = 37,
"inm_cm4" = 69,
"ipsl_cm4" = 14,
"ipsl_cm5a_lr" = 70,
"ipsl_cm5a_mr" = 71,
"ipsl_cm5b_lr" = 72,
"lasg_fgoals_g2" = 73,
"lasg_fgoals_s2" = 74,
"miroc3_2_hires" = 15,
"miroc3_2_medres" = 16,
"miroc_esm" = 75,
"miroc_esm_chem" = 76,
"miroc_miroc4h" = 77,
"miroc_miroc5" = 78,
"miub_echo_g" = 17,
"mohc_hadam3p_2" = 34,
"mohc_hadam3p_3" = 35,
"mohc_hadcm3" = 79,
"mohc_hadcm3q0" = 31,
"mohc_hadcm3q16" = 33,
"mohc_hadcm3q3" = 32,
"mohc_hadgem2_cc" = 80,
"mohc_hadgem2_es" = 81,
"mpi_echam4" = 29,
"mpi_echam5" = 18,
"mpi_echam5" = 30,
"mpi_esm_lr" = 82,
"mpi_esm_mr" = 83,
"mpi_esm_p" = 84,
"mri_cgcm2_3_2a" = 19,
"mri_cgcm3" = 85,
"ncar_ccsm3_0" = 20,
"ncar_ccsm4" = 86,
"ncar_pcm1" = 21,
"ncc_noresm1_m" = 87,
"ncc_noresm1_me" = 88,
"ncep_r2" = 36,
"nies99" = 22,
"nimr_hadgem2_ao" = 89,
"ukmo_hadcm3" = 23,
"ukmo_hadgem1" = 24),
extent = list("global" = "global",
"region" = "region"),
format = list("ascii" = "ascii",
"esri" = "esri"),
period = list("1970s" = 1,
"1990s" = 10,
"2000s" = 2,
"2020s" = 3,
"2030s" = 4,
"2040s" = 5,
"2050s" = 6,
"2060s" = 7,
"2070s" = 8,
"2080s" = 9),
variable = list("Bioclimatics" = 1,
"Diurnal Temperature Range" = 6,
"Maximum Temperature" = 3,
"Mean Temperature" = 4,
"Minimum Temperature" = 5,
"Precipitation" = 2,
"Solar Radiation" = 7,
"Other" = 9999),
resolution = list("30 seconds" = 1,
"2.5 minutes" = 2,
"5 minutes" = 3,
"10 minutes" = 4,
"30 minutes" = 5,
"25 minutes" = 6,
"20 minutes" = 7),
tile = list("A1" = "A1",
"A2" = "A2",
"A3" = "A3",
"A4" = "A4",
"A5" = "A5",
"A6" = "A6",
"B1" = "B1",
"B2" = "B2",
"B3" = "B3",
"B4" = "B4",
"B5" = "B5",
"B6" = "B6",
"C1" = "C1",
"C2" = "C2",
"C3" = "C3",
"C4" = "C4",
"C5" = "C5",
"C6" = "C6")
)
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