public ITimeSeriesOutput Compute(ITimeSeriesInput inpt, ITimeSeriesOutput outpt, double lat, double lon, string startDate, string endDate, int timeZoneOffset, out string errorMsg)
{
errorMsg = "";
double petHamon = 0;
double sunshineHours = 0;
DataTable dt = new DataTable();
switch (inpt.Source)
{
case "ncdc":
NCDC ncd = new NCDC();
dt = ncd.DownloadData(outpt, inpt);
if (dt == null)
{
errorMsg = "ERROR: Unable to download data. ";
}
else
{
dt = ncd.Aggregate(inpt, dt);
}
break;
case "daymet":
dt = daymetData(inpt, outpt);
dt = Utilities.Utility.aggregateData(inpt, dt, "hamon");
break;
case "custom":
CustomData cd = new CustomData();
dt = cd.ParseCustomData(inpt, outpt, inpt.Geometry.GeometryMetadata["userdata"].ToString(), "hamon");
break;
case "nldas":
case "gldas":
default:
NLDAS2 nldas = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
if (inpt.TemporalResolution == "hourly")
{
dt = nldas.getDataHourly(timeZoneOffset, false, out errorMsg);
dt.Columns["THourly_C"].ColumnName = "TMean_C";
dt.Columns.Remove("SolarRad_MJm2day");
dt.Columns.Remove("SH_Hourly");
dt.Columns.Remove("WindSpeed_m/s");
}
else
{
dt = nldas.getData1(timeZoneOffset, out errorMsg);
DataRow dr1 = null;
List <Double> tList = new List <double>();
if (inpt.TemporalResolution == "weekly")
{
DataTable wkly = dt.Clone();
int j = 0;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (j == 0)
{
dr1 = wkly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
if (j == 6 || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
wkly.Rows.Add(dr1);
j = -1;
}
j++;
}
dt = wkly;
}
else if (inpt.TemporalResolution == "monthly")
{
DataTable mnly = dt.Clone();
int curmonth = inpt.DateTimeSpan.StartDate.Month;
int j = 0;
bool newmonth = true;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (newmonth)
{
dr1 = mnly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
newmonth = false;
curmonth = Convert.ToDateTime(dt.Rows[i]["Date"]).Month;
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
if (i + 1 < dt.Rows.Count && (Convert.ToDateTime(dt.Rows[i + 1]["Date"]).Month != curmonth) || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
mnly.Rows.Add(dr1);
j = -1;
newmonth = true;
}
j++;
}
dt = mnly;
}
}
break;
}
if (errorMsg != "")
{
Utilities.ErrorOutput err = new Utilities.ErrorOutput();
return(err.ReturnError(errorMsg));
}
dt.Columns.Add("Sunshine_Hours");
dt.Columns.Add("HamonPET_in");
ITimeSeriesOutputFactory oFactory = new TimeSeriesOutputFactory();
ITimeSeriesOutput output = oFactory.Initialize();
output.Dataset = "Evapotranspiration";
output.DataSource = "hamon";
output.Metadata = new Dictionary <string, string>()
{
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "Date" },
{ "column_2", "Julian Day" },
{ "column_3", "Minimum Temperature" },
{ "column_4", "Maximum Temperature" },
{ "column_5", "Mean Temperature" },
{ "column_6", "Sunshine Hours" },
{ "column_7", "Potential Evapotranspiration" }
};
if (inpt.TemporalResolution == "hourly")
{
output.Metadata = new Dictionary <string, string>()
{
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "DateHour" },
{ "column_2", "Julian Day" },
{ "column_3", "Hourly Temperature" },
{ "column_4", "Sunshine Hours" },
{ "column_5", "Potential Evapotranspiration" }
};
}
output.Data = new Dictionary <string, List <string> >();
foreach (DataRow dr in dt.Rows)
{
double tmean = Convert.ToDouble(dr["TMean_C"].ToString());
int jday = Convert.ToInt32(dr["Julian_Day"]);
HamonMethod(tmean, jday, out petHamon, out sunshineHours, out errorMsg);
dr["Sunshine_Hours"] = sunshineHours.ToString("F2", CultureInfo.InvariantCulture);
dr["HamonPET_in"] = petHamon.ToString("F4", CultureInfo.InvariantCulture);
List <string> lv = new List <string>();
foreach (Object g in dr.ItemArray.Skip(1))
{
lv.Add(g.ToString());
}
output.Data.Add(dr[0].ToString(), lv);
}
return(output);
}
public ITimeSeriesOutput Compute(ITimeSeriesInput inpt, ITimeSeriesOutput outpt, double lat, double lon, string startDate, string endDate, int timeZoneOffset, out string errorMsg)
{
errorMsg = "";
double petPT = 0;
//NLDAS2 nldas = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
DataTable dt = new DataTable();
switch (inpt.Source)
{
case "daymet":
dt = daymetData(inpt, outpt);
dt = Utilities.Utility.aggregateData(inpt, dt, "priestlytaylor");
break;
case "custom":
CustomData cd = new CustomData();
dt = cd.ParseCustomData(inpt, outpt, inpt.Geometry.GeometryMetadata["userdata"].ToString(), "priestlytaylor");
break;
case "nldas":
case "gldas":
default:
NLDAS2 nldas = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
if (inpt.TemporalResolution == "hourly")
{
NLDAS2 nldasday = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
DataTable dtd = nldasday.getData2(timeZoneOffset, out errorMsg);
dt = nldas.getDataHourly(timeZoneOffset, false, out errorMsg);
dt.Columns["THourly_C"].ColumnName = "TMean_C";
dt.Columns["SolarRad_MJm2day"].ColumnName = "SolarRadMean_MJm2day";
dt.Columns.Remove("SH_Hourly");
dt.Columns.Remove("WindSpeed_m/s");
dt.Columns.Add("TMin_C");
dt.Columns.Add("TMax_C");
int j = -1;
for (int i = 0; i < dt.Rows.Count; i++)
{
if ((inpt.Source == "nldas" && (i % 24 == 0)) || (inpt.Source == "gldas" && (i % 8 == 0)))
{
j++;
}
DataRow dr = dtd.Rows[j];
dt.Rows[i]["TMin_C"] = dr["TMin_C"];
dt.Rows[i]["TMax_C"] = dr["TMax_C"];
}
dtd = null;
}
else
{
dt = nldas.getData2(timeZoneOffset, out errorMsg);
DataRow dr1 = null;
List <Double> tList = new List <double>();
double sol = 0.0;
if (inpt.TemporalResolution == "weekly")
{
DataTable wkly = dt.Clone();
int j = 0;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (j == 0)
{
dr1 = wkly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
sol = 0.0;
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
sol += Convert.ToDouble(dt.Rows[i]["SolarRadMean_MJm2day"]);
if (j == 6 || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
dr1["SolarRadMean_MJm2day"] = Math.Round(sol / (j + 1), 2);
wkly.Rows.Add(dr1);
j = -1;
}
j++;
}
dt = wkly;
}
else if (inpt.TemporalResolution == "monthly")
{
DataTable mnly = dt.Clone();
int curmonth = inpt.DateTimeSpan.StartDate.Month;
int j = 0;
bool newmonth = true;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (newmonth)
{
dr1 = mnly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
sol = 0.0;
newmonth = false;
curmonth = Convert.ToDateTime(dt.Rows[i]["Date"]).Month;
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
sol += Convert.ToDouble(dt.Rows[i]["SolarRadMean_MJm2day"]);
if (i + 1 < dt.Rows.Count && (Convert.ToDateTime(dt.Rows[i + 1]["Date"]).Month != curmonth) || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
dr1["SolarRadMean_MJm2day"] = Math.Round(sol / (j + 1), 2);
mnly.Rows.Add(dr1);
j = -1;
newmonth = true;
}
j++;
}
dt = mnly;
}
}
break;
}
//dt = nldas.getData2(timeZoneOffset, out errorMsg);
if (errorMsg != "")
{
Utilities.ErrorOutput err = new Utilities.ErrorOutput();
return(err.ReturnError(errorMsg));
}
dt.Columns.Add("PriestleyTaylorPET_in");
ITimeSeriesOutputFactory oFactory = new TimeSeriesOutputFactory();
ITimeSeriesOutput output = oFactory.Initialize();
output.Dataset = "Evapotranspiration";
output.DataSource = "priestlytaylor";
output.Metadata = new Dictionary <string, string>()
{
{ "elevation", elevation.ToString() },
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "albedo", albedo.ToString() },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "Date" },
{ "column_2", "Julian Day" },
{ "column_3", "Minimum Temperature" },
{ "column_4", "Maximum Temperature" },
{ "column_5", "Mean Temperature" },
{ "column_6", "Mean Solar Radiation" },
{ "column_7", "Potential Evapotranspiration" }
};
if (inpt.TemporalResolution == "hourly")
{
output.Metadata = new Dictionary <string, string>()
{
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "DateHour" },
{ "column_2", "Julian Day" },
{ "column_3", "Hourly Temperature" },
{ "column_4", "Mean Solar Radiation" },
{ "column_5", "Minimum Daily Temperature" },
{ "column_6", "Maximum Daily Temperature" },
{ "column_7", "Potential Evapotranspiration" }
};
}
output.Data = new Dictionary <string, List <string> >();
foreach (DataRow dr in dt.Rows)
{
double tmean = Convert.ToDouble(dr["TMean_C"].ToString());
double tmin = Convert.ToDouble(dr["TMin_C"].ToString());
double tmax = Convert.ToDouble(dr["TMax_C"].ToString());
double solarRad = Convert.ToDouble(dr["SolarRadMean_MJm2day"].ToString());
int jday = Convert.ToInt32(dr["Julian_Day"].ToString());
PriestlyTaylorMethod(tmin, tmax, tmean, solarRad, jday, out petPT, out errorMsg);
dr["PriestleyTaylorPET_in"] = petPT.ToString("F4", CultureInfo.InvariantCulture);
List <string> lv = new List <string>();
foreach (Object g in dr.ItemArray.Skip(1))
{
lv.Add(g.ToString());
}
output.Data.Add(dr[0].ToString(), lv);
}
return(output);
}
public ITimeSeriesOutput Compute(ITimeSeriesInput inpt, ITimeSeriesOutput outpt, double lat, double lon, string startDate, string endDate, int timeZoneOffset, int model,
out double aprecip, out string errorMsg)
{
errorMsg = "";
//NLDAS2 nldas = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
aprecip = 0.0;
//AnnualPrecipitation = aprecip;
double relHMax = 0;
double relHMin = 0.0;
double petMC = 0;
string strDate;
CultureInfo CInfoUS = new CultureInfo("en-US");
//DataTable dt = nldas.getData3(timeZoneOffset, out errorMsg);
DataTable dt = new DataTable();
DataTable data3 = new DataTable();
switch (inpt.Source)
{
case "daymet":
dt = daymetData(inpt, outpt);
dt = Utilities.Utility.aggregateData(inpt, dt, "mortoncrae");
inpt.Source = "nldas";
NLDAS2 nldas = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
data3 = nldas.getData3(timeZoneOffset, out errorMsg);
dt.Columns.Add("SHmin");
dt.Columns.Add("SHmax");
for (int i = 0; i < dt.Rows.Count; i++)
{
dt.Rows[i]["SHmin"] = data3.Rows[i]["SHmin"];
dt.Rows[i]["SHmax"] = data3.Rows[i]["SHmin"];
}
data3 = null;
inpt.Source = "daymet";
break;
case "custom":
CustomData cd = new CustomData();
dt = cd.ParseCustomData(inpt, outpt, inpt.Geometry.GeometryMetadata["userdata"].ToString(), "mortoncrae");
break;
case "nldas":
case "gldas":
default:
NLDAS2 nldas2 = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
if (inpt.TemporalResolution == "hourly")
{
NLDAS2 nldasday = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
DataTable dtd = nldasday.getData3(timeZoneOffset, out errorMsg);
dt = nldas2.getDataHourly(timeZoneOffset, false, out errorMsg);
dt.Columns["THourly_C"].ColumnName = "TMean_C";
dt.Columns["SolarRad_MJm2day"].ColumnName = "SolarRadMean_MJm2day";
dt.Columns.Remove("WindSpeed_m/s");
//dt.Columns["WindSpeed_m/s"].ColumnName = "WindSpeedMean_m/s";
dt.Columns.Remove("SH_Hourly");
dt.Columns.Add("TMin_C");
dt.Columns.Add("TMax_C");
dt.Columns.Add("SHmin");
dt.Columns.Add("SHmax");
int j = -1;
for (int i = 0; i < dt.Rows.Count; i++)
{
if ((inpt.Source == "nldas" && (i % 24 == 0)) || (inpt.Source == "gldas" && (i % 8 == 0)))
{
j++;
}
DataRow dr = dtd.Rows[j];
dt.Rows[i]["TMin_C"] = dr["TMin_C"];
dt.Rows[i]["TMax_C"] = dr["TMax_C"];
dt.Rows[i]["SHmin"] = dr["SHmin"];
dt.Rows[i]["SHmax"] = dr["SHmax"];
}
dtd = null;
}
else
{
dt = nldas2.getData3(timeZoneOffset, out errorMsg);
DataRow dr1 = null;
List <Double> tList = new List <double>();
List <Double> sList = new List <double>();
double sol = 0.0;
if (inpt.TemporalResolution == "weekly")
{
DataTable wkly = dt.Clone();
int j = 0;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (j == 0)
{
dr1 = wkly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
sList = new List <double>();
sol = 0.0;
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
sol += Convert.ToDouble(dt.Rows[i]["SolarRadMean_MJm2day"]);
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmin"].ToString()));
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmax"].ToString()));
if (j == 6 || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
dr1["SolarRadMean_MJm2day"] = Math.Round(sol / (j + 1), 2);
dr1["SHmin"] = sList.Min().ToString();
dr1["SHmax"] = sList.Max().ToString();
wkly.Rows.Add(dr1);
j = -1;
}
j++;
}
dt = wkly;
}
else if (inpt.TemporalResolution == "monthly")
{
DataTable mnly = dt.Clone();
int curmonth = inpt.DateTimeSpan.StartDate.Month;
int j = 0;
bool newmonth = true;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (newmonth)
{
dr1 = mnly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
sList = new List <double>();
sol = 0.0;
newmonth = false;
curmonth = Convert.ToDateTime(dt.Rows[i]["Date"]).Month;
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
sol += Convert.ToDouble(dt.Rows[i]["SolarRadMean_MJm2day"]);
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmin"].ToString()));
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmax"].ToString()));
if (i + 1 < dt.Rows.Count && (Convert.ToDateTime(dt.Rows[i + 1]["Date"]).Month != curmonth) || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
dr1["SolarRadMean_MJm2day"] = Math.Round(sol / (j + 1), 2);
dr1["SHmin"] = sList.Min().ToString();
dr1["SHmax"] = sList.Max().ToString();
mnly.Rows.Add(dr1);
j = -1;
newmonth = true;
}
j++;
}
dt = mnly;
}
}
//dt = nldas2.getData3(timeZoneOffset, out errorMsg);
aprecip = nldas2.getAnnualPrecipitation();
AnnualPrecipitation = aprecip;
break;
}
if (errorMsg != "")
{
Utilities.ErrorOutput err = new Utilities.ErrorOutput();
return(err.ReturnError(errorMsg));
}
dt.Columns.Add("RHmin");
dt.Columns.Add("RHmax");
dt.Columns.Add("MortonCRAEPET_in");
ITimeSeriesOutputFactory oFactory = new TimeSeriesOutputFactory();
ITimeSeriesOutput output = oFactory.Initialize();
output.Dataset = "Evapotranspiration";
output.DataSource = "mortoncrae";
output.Metadata = new Dictionary <string, string>()
{
{ "elevation", elevation.ToString() },
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "albedo", albedo.ToString() },
{ "emissivity", emissivity.ToString() },
{ "annual_precipitation", annualPrecipitation.ToString() },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "Date" },
{ "column_2", "Julian Day" },
{ "column_3", "Minimum Temperature" },
{ "column_4", "Maximum Temperature" },
{ "column_5", "Mean Temperature" },
{ "column_6", "Mean Solar Radiation" },
{ "column_7", "Minimum Relative Humidity" },
{ "column_8", "Maximum Relative Humidity" },
{ "column_9", "Potential Evapotranspiration" }
};
if (inpt.TemporalResolution == "hourly")
{
output.Metadata = new Dictionary <string, string>()
{
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "DateHour" },
{ "column_2", "Julian Day" },
{ "column_3", "Hourly Temperature" },
{ "column_4", "Mean Solar Radiation" },
{ "column_5", "Minimum Daily Temperature" },
{ "column_6", "Maximum Daily Temperature" },
{ "column_7", "Minimum Relative Humidity" },
{ "column_8", "Maximum Relative Humidity" },
{ "column_9", "Potential Evapotranspiration" }
};
}
output.Data = new Dictionary <string, List <string> >();
foreach (DataRow dr in dt.Rows)
{
double tmean = Convert.ToDouble(dr["TMean_C"].ToString());
double tmin = Convert.ToDouble(dr["TMin_C"].ToString());
double tmax = Convert.ToDouble(dr["TMax_C"].ToString());
double shmin = Convert.ToDouble(dr["SHmin"].ToString());
double shmax = Convert.ToDouble(dr["SHmax"].ToString());
if (inpt.TemporalResolution == "hourly")
{
DateTime days = DateTime.Parse(dr["DateHour"].ToString());
strDate = days.ToString("yyyy-MM-dd");
}
else
{
strDate = dr["Date"].ToString().Trim();
}
DateTime time1 = DateTime.ParseExact(strDate, "yyyy-MM-dd", CInfoUS);
double solarRad = Convert.ToDouble(dr["SolarRadMean_MJm2day"].ToString());
int jday = Convert.ToInt32(dr["Julian_Day"].ToString());
MortonCRAEMethod(tmin, tmax, tmean, jday, time1, shmin, shmax, solarRad, model, out relHMin, out relHMax,
out petMC, out errorMsg);
if (inpt.Source == "daymet")
{
double vapor = Convert.ToDouble(dr["VaPress"].ToString());
dr["RHmin"] = daymetHumid(tmin, vapor).ToString("F2", CultureInfo.InstalledUICulture);
dr["RHmax"] = daymetHumid(tmax, vapor).ToString("F2", CultureInfo.InstalledUICulture);
}
else
{
dr["RHmin"] = relHMin.ToString("F2", CultureInfo.InstalledUICulture);
dr["RHmax"] = relHMax.ToString("F2", CultureInfo.InstalledUICulture);
}
dr["MortonCRAEPET_in"] = petMC.ToString("F4", CultureInfo.InvariantCulture);
}
if (inpt.Source == "daymet")
{
dt.Columns.Remove("VaPress");
}
dt.Columns.Remove("SHmin");
dt.Columns.Remove("SHmax");
foreach (DataRow dr in dt.Rows)
{
List <string> lv = new List <string>();
foreach (Object g in dr.ItemArray.Skip(1))
{
lv.Add(g.ToString());
}
output.Data.Add(dr[0].ToString(), lv);
}
return(output);
}
public ITimeSeriesOutput Compute(ITimeSeriesInput inpt, ITimeSeriesOutput outpt, double lat, double lon, string startDate, string endDate, int timeZoneOffset, out string errorMsg)
{
errorMsg = "";
//NLDAS2 nldas = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
double relHMax = 0;
double relHMin = 0.0;
double petSW = 0;
string strDate;
CultureInfo CInfoUS = new CultureInfo("en-US");
//DataTable dt = nldas.getData4(timeZoneOffset, out errorMsg);
DataTable dt = new DataTable();
DataTable daymets = new DataTable();
switch (inpt.Source)
{
case "daymet":
daymets = daymetData(inpt, outpt);
inpt.Source = "nldas";
NLDAS2 nldas = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
dt = nldas.getData4(timeZoneOffset, out errorMsg);
for (int i = 0; i < daymets.Rows.Count; i++)
{
DataRow dr = dt.Rows[i];
dr["TMin_C"] = daymets.Rows[i]["TMin_C"];
dr["TMax_C"] = daymets.Rows[i]["TMax_C"];
dr["TMean_C"] = daymets.Rows[i]["TMean_C"];
dr["SolarRadMean_MJm2day"] = daymets.Rows[i]["SolarRadMean_MJm2day"];
}
daymets = null;
break;
case "custom":
CustomData cd = new CustomData();
dt = cd.ParseCustomData(inpt, outpt, inpt.Geometry.GeometryMetadata["userdata"].ToString(), "shuttleworthwallace");
break;
case "nldas":
case "gldas":
default:
NLDAS2 nldas2 = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
if (inpt.TemporalResolution == "hourly")
{
NLDAS2 nldasday = new NLDAS2(inpt.Source, lat, lon, startDate, endDate);
DataTable dtd = nldasday.getData4(timeZoneOffset, out errorMsg);
dt = nldas2.getDataHourly(timeZoneOffset, false, out errorMsg);
dt.Columns["THourly_C"].ColumnName = "TMean_C";
dt.Columns["SolarRad_MJm2day"].ColumnName = "SolarRadMean_MJm2day";
dt.Columns["WindSpeed_m/s"].ColumnName = "WindSpeedMean_m/s";
dt.Columns.Remove("SH_Hourly");
dt.Columns.Add("TMin_C");
dt.Columns.Add("TMax_C");
dt.Columns.Add("SHmin");
dt.Columns.Add("SHmax");
int j = -1;
for (int i = 0; i < dt.Rows.Count; i++)
{
if ((inpt.Source == "nldas" && (i % 24 == 0)) || (inpt.Source == "gldas" && (i % 8 == 0)))
{
j++;
}
DataRow dr = dtd.Rows[j];
dt.Rows[i]["TMin_C"] = dr["TMin_C"];
dt.Rows[i]["TMax_C"] = dr["TMax_C"];
dt.Rows[i]["SHmin"] = dr["SHmin"];
dt.Rows[i]["SHmax"] = dr["SHmax"];
}
dtd = null;
}
else
{
dt = nldas2.getData4(timeZoneOffset, out errorMsg);
DataRow dr1 = null;
List <Double> tList = new List <double>();
List <Double> sList = new List <double>();
double sol = 0.0;
double wind = 0.0;
if (inpt.TemporalResolution == "weekly")
{
DataTable wkly = dt.Clone();
int j = 0;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (j == 0)
{
dr1 = wkly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
sList = new List <double>();
sol = 0.0;
wind = 0.0;
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
sol += Convert.ToDouble(dt.Rows[i]["SolarRadMean_MJm2day"]);
wind += Convert.ToDouble(dt.Rows[i]["WindSpeedMean_m/s"]);
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmin"].ToString()));
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmax"].ToString()));
if (j == 6 || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
dr1["SolarRadMean_MJm2day"] = Math.Round(sol / (j + 1), 2);
dr1["WindSpeedMean_m/s"] = Math.Round(wind / (j + 1), 2);
dr1["SHmin"] = sList.Min().ToString();
dr1["SHmax"] = sList.Max().ToString();
wkly.Rows.Add(dr1);
j = -1;
}
j++;
}
dt = wkly;
}
else if (inpt.TemporalResolution == "monthly")
{
DataTable mnly = dt.Clone();
int curmonth = inpt.DateTimeSpan.StartDate.Month;
int j = 0;
bool newmonth = true;
for (int i = 0; i < dt.Rows.Count; i++)
{
if (newmonth)
{
dr1 = mnly.NewRow();
dr1["Date"] = dt.Rows[i]["Date"].ToString();
dr1["Julian_Day"] = dt.Rows[i]["Julian_Day"].ToString();
tList = new List <double>();
sList = new List <double>();
sol = 0.0;
wind = 0.0;
newmonth = false;
curmonth = Convert.ToDateTime(dt.Rows[i]["Date"]).Month;
}
tList.Add(Convert.ToDouble(dt.Rows[i]["TMin_C"].ToString()));
tList.Add(Convert.ToDouble(dt.Rows[i]["TMax_C"].ToString()));
sol += Convert.ToDouble(dt.Rows[i]["SolarRadMean_MJm2day"]);
wind += Convert.ToDouble(dt.Rows[i]["WindSpeedMean_m/s"]);
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmin"].ToString()));
sList.Add(Convert.ToDouble(dt.Rows[i]["SHmax"].ToString()));
if (i + 1 < dt.Rows.Count && (Convert.ToDateTime(dt.Rows[i + 1]["Date"]).Month != curmonth) || i == dt.Rows.Count - 1)
{
dr1["TMin_C"] = tList.Min().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMax_C"] = tList.Max().ToString("F2", CultureInfo.InvariantCulture);
dr1["TMean_C"] = (tList.Min() + tList.Max()) / 2.0;
dr1["SolarRadMean_MJm2day"] = Math.Round(sol / (j + 1), 2);
dr1["WindSpeedMean_m/s"] = Math.Round(wind / (j + 1), 2);
dr1["SHmin"] = sList.Min().ToString();
dr1["SHmax"] = sList.Max().ToString();
mnly.Rows.Add(dr1);
j = -1;
newmonth = true;
}
j++;
}
dt = mnly;
}
}
break;
}
if (errorMsg != "")
{
Utilities.ErrorOutput err = new Utilities.ErrorOutput();
return(err.ReturnError(errorMsg));
}
dt.Columns.Add("RHmin");
dt.Columns.Add("RHmax");
dt.Columns.Add("ShuttleworthWallacePET_in");
ITimeSeriesOutputFactory oFactory = new TimeSeriesOutputFactory();
ITimeSeriesOutput output = oFactory.Initialize();
output.Dataset = "Evapotranspiration";
output.DataSource = "shuttleworthwallace";
string leafareas = "{ ";
foreach (int key in leafAreaIndex.Keys)
{
leafareas += String.Format("{0}: {1}, ", key, leafAreaIndex[key]);
}
leafareas += "}";
output.Metadata = new Dictionary <string, string>()
{
{ "elevation", elevation.ToString() },
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "albedo", albedo.ToString() },
{ "stomatal_resistance", resistanceStomatal.ToString() },
{ "surface_resistance", resistanceSurfaceSoil.ToString() },
{ "ground_roughness_length", groundRoughnessLength.ToString() },
{ "leaf_width", widthLeaf.ToString() },
{ "vegetation_height", vegetationHeight.ToString() },
{ "leaf_area_indices", leafareas },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "Date" },
{ "column_2", "Julian Day" },
{ "column_3", "Minimum Temperature" },
{ "column_3.1", "Maximum Temperature" },
{ "column_3.2", "Mean Temperature" },
{ "column_4", "Mean Solar Radiation" },
{ "column_5", "Mean Wind Speed" },
{ "column_6", "Minimum Relative Humidity" },
{ "column_7", "Maximum Relative Humidity" },
{ "column_8", "Potential Evapotranspiration" }
};
if (inpt.TemporalResolution == "hourly")
{
output.Metadata = new Dictionary <string, string>()
{
{ "latitude", latitude.ToString() },
{ "longitude", longitude.ToString() },
{ "request_time", DateTime.Now.ToString() },
{ "column_1", "DateHour" },
{ "column_2", "Julian Day" },
{ "column_3", "Hourly Temperature" },
{ "column_4", "Mean Solar Radiation" },
{ "column_5", "Minimum Daily Temperature" },
{ "column_6", "Maximum Daily Temperature" },
{ "column_6.1", "Mean Wind Speed" },
{ "column_7", "Minimum Relative Humidity" },
{ "column_8", "Maximum Relative Humidity" },
{ "column_9", "Potential Evapotranspiration" }
};
}
output.Data = new Dictionary <string, List <string> >();
foreach (DataRow dr in dt.Rows)
{
double tmean = Convert.ToDouble(dr["TMean_C"].ToString());
double tmin = Convert.ToDouble(dr["TMin_C"].ToString());
double tmax = Convert.ToDouble(dr["TMax_C"].ToString());
double shmin = Convert.ToDouble(dr["SHmin"].ToString());
double shmax = Convert.ToDouble(dr["SHmax"].ToString());
if (inpt.TemporalResolution == "hourly")
{
DateTime days = DateTime.Parse(dr["DateHour"].ToString());
strDate = days.ToString("yyyy-MM-dd");
}
else
{
strDate = dr["Date"].ToString();
}
DateTime time1 = DateTime.ParseExact(strDate, "yyyy-MM-dd", CInfoUS);
double wind = Convert.ToDouble(dr["WindSpeedMean_m/s"].ToString());
double solarRad = Convert.ToDouble(dr["SolarRadMean_MJm2day"].ToString());
int jday = Convert.ToInt32(dr["Julian_Day"].ToString());
ShuttleworthWallaceMethod(tmin, tmax, tmean, jday, time1, shmin, shmax, wind, solarRad,
out relHMin, out relHMax, out petSW, out errorMsg);
dr["RHmin"] = relHMin.ToString("F2", CultureInfo.InstalledUICulture);
dr["RHmax"] = relHMax.ToString("F2", CultureInfo.InstalledUICulture);
dr["ShuttleworthWallacePET_in"] = petSW.ToString("F4", CultureInfo.InvariantCulture);
}
dt.Columns.Remove("SHmin");
dt.Columns.Remove("SHmax");
foreach (DataRow dr in dt.Rows)
{
List <string> lv = new List <string>();
foreach (Object g in dr.ItemArray.Skip(1))
{
lv.Add(g.ToString());
}
output.Data.Add(dr[0].ToString(), lv);
}
return(output);
}