public static Madingley.Common.Stock ConvertStockData(Stock stock)
{
return new Madingley.Common.Stock(
stock.FunctionalGroupIndex,
stock.IndividualBodyMass,
stock.TotalBiomass);
}
public static void ToJson(Newtonsoft.Json.JsonWriter jsonWriter, Stock stock)
{
jsonWriter.WriteStartObject();
Madingley.Serialization.Common.Writer.PropertyInt(jsonWriter, "_FunctionalGroupIndex", stock._FunctionalGroupIndex);
Madingley.Serialization.Common.Writer.PropertyDouble(jsonWriter, "_IndividualBodyMass", stock._IndividualBodyMass);
Madingley.Serialization.Common.Writer.PropertyDouble(jsonWriter, "_TotalBiomass", stock._TotalBiomass);
jsonWriter.WriteEndObject();
}
/// <summary>
/// Seed grid cell with stocks, as specified in the model input files
/// </summary>
/// <param name="functionalGroups">A reference to the stock functional group handler</param>
/// <param name="cellEnvironment">The environment in the grid cell</param>
/// <param name="globalDiagnostics">A list of global diagnostic variables for the model grid</param>
private void SeedGridCellStocks(ref FunctionalGroupDefinitions functionalGroups, ref SortedList<string, double[]>
cellEnvironment, SortedList<string, double> globalDiagnostics)
{
// Set the seed for the random number generator from the system time
RandomNumberGenerator.SetSeedFromSystemTime();
Stock NewStock;
// Define local variables
int[] FunctionalGroupsToUse;
// Get the individual body masses for organisms in each stock functional group
double[] IndividualMass = functionalGroups.GetBiologicalPropertyAllFunctionalGroups("individual mass");
// Check which realm the cell is in
if (cellEnvironment["Realm"][0] == 1.0 && _CellEnvironment["Precipitation"][0] != _CellEnvironment["Missing Value"][0] && _CellEnvironment["Temperature"][0] != _CellEnvironment["Missing Value"][0])
{
// Get the indices of all terrestrial functional groups
FunctionalGroupsToUse = functionalGroups.GetFunctionalGroupIndex("realm", "terrestrial", true);
}
else if (cellEnvironment["Realm"][0] == 2.0 && _CellEnvironment["NPP"][0] != _CellEnvironment["Missing Value"][0])
{
// Get the indices of all marine functional groups
FunctionalGroupsToUse = functionalGroups.GetFunctionalGroupIndex("realm", "marine", true);
}
else
{
// For cells without a realm designation, no functional groups will be used
FunctionalGroupsToUse = new int[0];
}
// Loop over all functional groups in the model
for (int FunctionalGroup = 0; FunctionalGroup < functionalGroups.GetNumberOfFunctionalGroups(); FunctionalGroup++)
{
// Create a new list to hold the stocks in the grid cell
_GridCellStocks[FunctionalGroup] = new List<Stock>();
// If it is a functional group that corresponds to the current realm, then seed the stock
if (FunctionalGroupsToUse.Contains(FunctionalGroup))
{
if (_CellEnvironment["Realm"][0] == 1.0)
{
// An instance of the terrestrial carbon model class
RevisedTerrestrialPlantModel PlantModel = new RevisedTerrestrialPlantModel();
// Calculate predicted leaf mass at equilibrium for this stock
double LeafMass = PlantModel.CalculateEquilibriumLeafMass(_CellEnvironment, functionalGroups.GetTraitNames("leaf strategy", FunctionalGroup) == "deciduous");
// Initialise the new stock with the relevant properties
NewStock = new Stock((byte)FunctionalGroup, IndividualMass[FunctionalGroup], LeafMass);
// Add the new stock to the list of grid cell stocks
_GridCellStocks[FunctionalGroup].Add(NewStock);
// Increment the variable tracking the total number of stocks in the model
globalDiagnostics["NumberOfStocksInModel"]++;
}
else if (FunctionalGroupsToUse.Contains(FunctionalGroup))
{
// Initialise the new stock with the relevant properties
NewStock = new Stock((byte)FunctionalGroup, IndividualMass[FunctionalGroup], 1e12);
// Add the new stock to the list of grid cell stocks
_GridCellStocks[FunctionalGroup].Add(NewStock);
// Increment the variable tracking the total number of stocks in the model
globalDiagnostics["NumberOfStocksInModel"]++;
}
else
{
}
}
}
}
public Stock(Stock s)
{
_FunctionalGroupIndex = s._FunctionalGroupIndex;
_IndividualBodyMass = s._IndividualBodyMass;
_TotalBiomass = s._TotalBiomass;
}
public InputModelState(string outputPath, string filename, ModelGrid ecosystemModelGrid, List<uint[]> cellList)
{
//Set the input state flag to be true
_InputState = true;
// Construct the string required to access the file using Scientific Dataset
string _ReadFileString = "msds:nc?file=input/ModelStates/" + filename +".nc&openMode=readOnly";
// Open the data file using Scientific Dataset
DataSet StateDataSet = DataSet.Open(_ReadFileString);
float[] Latitude = StateDataSet.GetData<float[]>("Latitude");
float[] Longitude = StateDataSet.GetData<float[]>("Longitude");
float[] CohortFunctionalGroup = StateDataSet.GetData<float[]>("Cohort Functional Group");
float[] Cohort = StateDataSet.GetData<float[]>("Cohort");
float[] StockFunctionalGroup = StateDataSet.GetData<float[]>("Stock Functional Group");
float[] Stock = StateDataSet.GetData<float[]>("Stock");
// Check that the longitudes and latitudes in the input state match the cell environment
for (int la = 0; la < Latitude.Length; la++)
{
Debug.Assert(ecosystemModelGrid.GetCellEnvironment((uint)la, 0)["Latitude"][0] == Latitude[la],
"Error: input-state grid doesn't match current model grid");
}
for (int lo = 0; lo < Longitude.Length; lo++)
{
Debug.Assert(ecosystemModelGrid.GetCellEnvironment(0, (uint)lo)["Longitude"][0] == Longitude[lo],
"Error: input-state grid doesn't match current model grid");
}
List<double[,,]> CohortJuvenileMass = new List<double[,,]>();
List<double[,,]> CohortAdultMass = new List<double[,,]>();
List<double[,,]> CohortIndividualBodyMass = new List<double[,,]>();
List<double[,,]> CohortCohortAbundance = new List<double[,,]>();
List<double[,,]> CohortLogOptimalPreyBodySizeRatio = new List<double[,,]>();
List<double[,,]> CohortBirthTimeStep = new List<double[,,]>();
List<double[,,]> CohortProportionTimeActive = new List<double[,,]>();
List<double[,,]> CohortTrophicIndex = new List<double[,,]>();
double[,,,] tempData = new double[Latitude.Length, Longitude.Length,
CohortFunctionalGroup.Length, Cohort.Length];
tempData = StateDataSet.GetData<double[,,,]>("CohortJuvenileMass");
for (int la = 0; la < Latitude.Length; la++)
{
CohortJuvenileMass.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortJuvenileMass[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
tempData = StateDataSet.GetData<double[,,,]>("CohortAdultMass");
for (int la = 0; la < Latitude.Length; la++)
{
CohortAdultMass.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortAdultMass[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
tempData = StateDataSet.GetData<double[,,,]>("CohortIndividualBodyMass");
for (int la = 0; la < Latitude.Length; la++)
{
CohortIndividualBodyMass.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortIndividualBodyMass[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
tempData = StateDataSet.GetData<double[,,,]>("CohortCohortAbundance");
for (int la = 0; la < Latitude.Length; la++)
{
CohortCohortAbundance.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortCohortAbundance[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
tempData = StateDataSet.GetData<double[,,,]>("CohortLogOptimalPreyBodySizeRatio");
for (int la = 0; la < Latitude.Length; la++)
{
CohortLogOptimalPreyBodySizeRatio.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortLogOptimalPreyBodySizeRatio[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
tempData = StateDataSet.GetData<double[,,,]>("CohortBirthTimeStep");
for (int la = 0; la < Latitude.Length; la++)
{
CohortBirthTimeStep.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortBirthTimeStep[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
tempData = StateDataSet.GetData<double[,,,]>("CohortProportionTimeActive");
for (int la = 0; la < Latitude.Length; la++)
{
CohortProportionTimeActive.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortProportionTimeActive[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
tempData = StateDataSet.GetData<double[,,,]>("CohortTrophicIndex");
for (int la = 0; la < Latitude.Length; la++)
{
CohortTrophicIndex.Add(new double[Longitude.Length, CohortFunctionalGroup.Length, Cohort.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Cohort.Length; c++)
{
CohortTrophicIndex[(int)cell[0]][cell[1], fg, c] = tempData[
cell[0], cell[1], fg, c];
}
}
}
_GridCellCohorts = new GridCellCohortHandler[Latitude.Length, Longitude.Length];
long temp = 0;
for (int cell = 0; cell < cellList.Count; cell++)
{
_GridCellCohorts[cellList[cell][0], cellList[cell][1]] = new GridCellCohortHandler(CohortFunctionalGroup.Length);
for (int fg = 0; fg < CohortFunctionalGroup.Length; fg++)
{
_GridCellCohorts[cellList[cell][0], cellList[cell][1]][fg] = new List<Cohort>();
for (int c = 0; c < Cohort.Length; c++)
{
if (CohortCohortAbundance[(int)cellList[cell][0]][cellList[cell][1],fg,c] > 0.0)
{
Cohort TempCohort = new Cohort(
(byte)fg,
CohortJuvenileMass[(int)cellList[cell][0]][cellList[cell][1], fg, c],
CohortAdultMass[(int)cellList[cell][0]][cellList[cell][1], fg, c],
CohortIndividualBodyMass[(int)cellList[cell][0]][cellList[cell][1], fg, c],
CohortCohortAbundance[(int)cellList[cell][0]][cellList[cell][1], fg, c],
Math.Exp(CohortLogOptimalPreyBodySizeRatio[(int)cellList[cell][0]][cellList[cell][1], fg, c]),
Convert.ToUInt16(CohortBirthTimeStep[(int)cellList[cell][0]][cellList[cell][1], fg, c]),
CohortProportionTimeActive[(int)cellList[cell][0]][cellList[cell][1], fg, c], ref temp,
CohortTrophicIndex[(int)cellList[cell][0]][cellList[cell][1], fg, c],
false);
_GridCellCohorts[cellList[cell][0], cellList[cell][1]][fg].Add(TempCohort);
}
}
}
}
CohortJuvenileMass.RemoveRange(0, CohortJuvenileMass.Count);
CohortAdultMass.RemoveRange(0, CohortAdultMass.Count);
CohortIndividualBodyMass.RemoveRange(0, CohortIndividualBodyMass.Count);
CohortCohortAbundance.RemoveRange(0, CohortCohortAbundance.Count);
CohortLogOptimalPreyBodySizeRatio.RemoveRange(0, CohortLogOptimalPreyBodySizeRatio.Count);
CohortBirthTimeStep.RemoveRange(0, CohortBirthTimeStep.Count);
CohortProportionTimeActive.RemoveRange(0, CohortProportionTimeActive.Count);
CohortTrophicIndex.RemoveRange(0, CohortTrophicIndex.Count);
List<double[,,]> StockIndividualBodyMass = new List<double[,,]>();
List<double[,,]> StockTotalBiomass = new List<double[,,]>();
double[,,,] tempData2 = new double[Latitude.Length, Longitude.Length,
StockFunctionalGroup.Length,Stock.Length];
tempData2 = StateDataSet.GetData<double[,,,]>("StockIndividualBodyMass");
for (int la = 0; la < Latitude.Length; la++)
{
StockIndividualBodyMass.Add(new double[Longitude.Length, StockFunctionalGroup.Length, Stock.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < StockFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Stock.Length; c++)
{
StockIndividualBodyMass[(int)cell[0]][cell[1], fg, c] = tempData2[
cell[0], cell[1], fg, c];
}
}
}
tempData2 = StateDataSet.GetData<double[,,,]>("StockTotalBiomass");
for (int la = 0; la < Latitude.Length; la++)
{
StockTotalBiomass.Add(new double[Longitude.Length, StockFunctionalGroup.Length, Stock.Length]);
}
foreach (uint[] cell in cellList)
{
for (int fg = 0; fg < StockFunctionalGroup.Length; fg++)
{
for (int c = 0; c < Stock.Length; c++)
{
StockTotalBiomass[(int)cell[0]][cell[1], fg, c] = tempData2[
cell[0], cell[1], fg, c];
}
}
}
_GridCellStocks = new GridCellStockHandler[Latitude.Length, Longitude.Length];
for (int cell = 0; cell < cellList.Count; cell++)
{
_GridCellStocks[cellList[cell][0], cellList[cell][1]] = new GridCellStockHandler(StockFunctionalGroup.Length);
for (int fg = 0; fg < StockFunctionalGroup.Length; fg++)
{
_GridCellStocks[cellList[cell][0], cellList[cell][1]][fg] = new List<Stock>();
for (int c = 0; c < Stock.Length; c++)
{
if (StockTotalBiomass[(int)cellList[cell][0]][cellList[cell][1], fg, c] > 0.0)
{
Stock TempStock = new Stock(
(byte)fg,
StockIndividualBodyMass[(int)cellList[cell][0]][cellList[cell][1], fg, c],
StockTotalBiomass[(int)cellList[cell][0]][cellList[cell][1], fg, c]);
_GridCellStocks[cellList[cell][0], cellList[cell][1]][fg].Add(TempStock);
}
}
}
}
}
