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a/src/ciam.jl +++ b/src/ciam.jl @@ -86,10 +86,12 @@ the Hprev > H block commented out. This should only be used for testing! """ function get_model(;initfile::Union{String, Nothing} = nothing, fixed::Bool=true, t::Int = 20, noRetreat::Bool = false, allowMaintain::Bool = false, - popinput::Int = 0, GAMSmatch::Bool = false) + popinput::Int = 0, GAMSmatch::Bool = false, surgeoption::Int = 0) initparams = init(; f = initfile) - params, xsc = import_model_data(initparams["lslr"][1], initparams["subset"][1], initparams["ssp"][1], initparams["ssp_simplified"][1], popinput) + params, xsc = import_model_data(initparams["lslr"][1], initparams["subset"][1], + initparams["ssp"][1], initparams["ssp_simplified"][1], + popinput, surgeoption) # clip the :at parameter based on t params["at"] = filter!(x -> x <= t, params["at"]) diff --git a/src/ciamhelper.jl b/src/ciamhelper.jl index 4109ecb..1a57f7f 100644 --- a/src/ciamhelper.jl +++ b/src/ciamhelper.jl @@ -113,7 +113,7 @@ function prepssp!(ssp, ssp_simplified, params, rgnnames, segnames, popinput) end """ - parse_ciam_params!(params, rgn_order, seg_order) + parse_ciam_params!(params, rgn_order, seg_order, surgeoption) Process CIAM data from csv to usable format and store outputs in params, note that this modifies the input parameter dictionary `params`, and the funciton is @@ -122,8 +122,9 @@ arguments are as fullows: - rgn_order - alphabetized lists of regions used (ciam_country) - seg_order - alphabetized lists of segments used +- surgeoption - which surge exposure data set to be used """ -function parse_ciam_params!(params, rgn_order, seg_order) +function parse_ciam_params!(params, rgn_order, seg_order, surgeoption) # we need to grab the original keys so it doesn't try to recurse when we # make new entries into the dictionary @@ -180,7 +181,7 @@ function parse_ciam_params!(params, rgn_order, seg_order) delete!(params, "globalparams") # surge exposure key case - elseif k == "surgeexposure" + elseif occursin("surgeexposure",k) # generalize for multiple possible surge data sets p = @from i in p begin @where i.segments in seg_order @@ -190,7 +191,7 @@ function parse_ciam_params!(params, rgn_order, seg_order) # Sort alphabetically sort!(p, :segments) - params["surgeexposure"] = convert(Array{Float64,2}, Matrix(p[:,2:6])) + params[k] = convert(Array{Float64,2}, Matrix(p[:,2:6])) # refa key case elseif k == "refa_h" || k == "refa_r" @@ -239,6 +240,18 @@ function parse_ciam_params!(params, rgn_order, seg_order) params[k] = Array{Float64,1}(p[!,1]) end end + + # set p["surgeexposure"] to the one designated by the surgeoption argument + # by default the original data file is read in as p["surgeexposure"], so in + # that case no action needed. Otherwise... + if surgeoption == 1 + params["surgeexposure"] = params["surgeexposure_dc-gtsr"] + elseif surgeoption == 2 + params["surgeexposure"] = params["surgeexposure_gtsr"] + elseif surgeoption != 0 + error("The `surgeoption` argument must be 0, 1 or 2.") + end + end """ @@ -345,8 +358,9 @@ Wrapper for importing model data with the arguments: - ssp - SSP scenario + modeling group (specific long name) - ssp_simplified - SSP scenario (1-5) - popinput - population density data set to be used (0=original CIAM, 1=Jones and O'Neill 2016 (not supported), 2=Merkens et al 2016 (not supported)) +- surgeoption - surge exposure data set to use (0=original CIAM/DINAS-COAST, 1=D-C corrected by GTSR/D-C bias, 2=GTSR nearest data point(s)) """ -function import_model_data(lslfile,sub,ssp,ssp_simplified,popinput) +function import_model_data(lslfile,sub,ssp,ssp_simplified,popinput,surgeoption) subset = (sub == "false") ? false : load_subset(sub) @@ -357,7 +371,7 @@ function import_model_data(lslfile,sub,ssp,ssp_simplified,popinput) xsc = prepxsc(subset) # Process params using xsc and format lsl file - parse_ciam_params!(params, xsc[2], xsc[3]) + parse_ciam_params!(params, xsc[2], xsc[3], surgeoption) preplsl!(lslfile, subset, params,xsc[3]) prepssp!(ssp,ssp_simplified,params,xsc[2],xsc[3],popinput)