diff --git a/inputdata/PTCLM/AmeriFlux_pftdata.txt b/inputdata/PTCLM/AmeriFlux_pftdata.txt new file mode 100644 index 0000000..35e2709 --- /dev/null +++ b/inputdata/PTCLM/AmeriFlux_pftdata.txt @@ -0,0 +1,42 @@ +site_code, pft_f1, pft_c1, pft_f2, pft_c2, pft_f3, pft_c3, pft_f4, pft_c4, pft_f5, pft_c5 +BR-Sa1, 100.0, 4, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +BR-Sa3, 100.0, 4, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +BR-Cax, 100.0, 4, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +CA-Ca1, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +CA-Man, 100.0, 2, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +PR-LUQ, 100.0, 4, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +PR-LQ1, 100.0, 4, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +SE-CO2, 100.0, 2, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-ARM, 100.0,13, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Atq, 100.0,12, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Blo, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Bo1, 100.0,17, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Brw, 100.0,12, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Dk3, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Ha1, 49.0, 8,27.0, 9,17.0,10, 7.0,11, 0.0, 0 +US-Ho1, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Ivo, 100.0,11, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Knz, 50.0,13,50.0,14, 0.0, 0, 0.0, 0, 0.0, 0 +US-Los, 35.0, 2, 5.0, 3,20.0, 9,30.0,12,10.0,13 +US-Me2, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Me4, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Mpj, 100.0, 9, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-MMS, 100.0, 7, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-MOz, 82.0, 7,18.0, 1, 0.0, 0, 0.0, 0, 0.0, 0 +US-Ne3, 100.0,15, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-NR1, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-OR3, 100.0,13, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-OR4, 100.0,14, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Pit, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-SPR, 36.0, 2,14.0, 3,25.0,11,25.0,12, 0.0, 0 +US-SPX, 20.8, 2, 8.1, 3,14.4,11,14.5,12,42.2, 0 +US-SP1, 100.0, 3, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-SP2, 100.0,12, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Syv, 50.0, 1,50.0, 7, 0.0, 0, 0.0, 0, 0.0, 0 +US-TFW, 100.0, 3, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-UMB, 100.0, 7, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-VA1, 100.0, 7, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Var, 100.0,13, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-WCr, 100.0, 7, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +US-Wrc, 100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 +REFCASE,100.0, 1, 0.0, 0, 0.0, 0, 0.0, 0, 0.0, 0 diff --git a/inputdata/PTCLM/AmeriFlux_sitedata.txt b/inputdata/PTCLM/AmeriFlux_sitedata.txt new file mode 100644 index 0000000..f7cb987 --- /dev/null +++ b/inputdata/PTCLM/AmeriFlux_sitedata.txt @@ -0,0 +1,61 @@ +site_code,name,state,lon,lat,elev,startyear,endyear,alignyear +AU-How,"Howard",AU,131.15,-12.49,100,1900,1920,1851 +BR-Cax,"Caxiunana",BR,-51.5,-1.72,200,2001,2006,1851 +BR-Sa1,"Santkm67",BR,-54.9589,-2.8567,100,2002,2011,1851 +BR-Sa3,"Santkm83",BR,-54.9707,-3.0170,100,2000,2002,1851 +CA-Ca1,"Campbell River 1",BC,-125.3326,49.8673,300,1998,2010,1851 +CA-Man,"NOBS",MB,-98.4808,55.87962,260,1994,2008,1851 +CA-NS1,"UCI 1850",MB,-98.4839,55.8792,260,2001,2005,1851 +CA-NS2,"UCI 1930",MB,-98.5247,55.9058,268,2001,2005,1851 +CA-NS3,"UCI 1964",MB,-98.3822,55.9117,260,2001,2005,1851 +CA-NS4,"UCI 1964wet",MB,-98.3822,55.9117,260,2001,2005,1851 +CA-NS5,"UCI 1981",MB,-98.4850,55.8631,265,2001,2005,1851 +CA-NS6,"UCI 1989",MB,-98.9644,55.9168,276,2001,2005,1851 +CA-NS7,"UCI 1998",MB,-99.9483,56.6358,273,2001,2005,1851 +PR-LUQ,"Luquillo, Puerto Rico",PR,-65.8165,18.3333,333,1950,1969,1851 +PR-LQ1,"Luquillo, Puerto Rico",PR,-65.8165,18.3333,333,1950,1969,1851 +US-ARM,"ARM SGP Main",OK,-97.4884,36.6050,310,2003,2012,1851 +SE-CO2,"Sweden test",SE,19.1,64.18,145,2000,2008,1851 +US-Atq,Atqasuk,AK,-157.4089,70.4696,16,1999,2006,1851 +US-Blo,"Blodgett Forest",CA,-120.6328,38.3953,1315,1997,2006,1851 +US-Bo1,Bondville,IL,-88.2919,40.0061,300,1996,2007,1851 +US-Brw,Barrow,AK,-156.6259,70.8225,1,1998,2006,1851 +US-Dk2,"Duke Forest Hardwoods",NC,-79.1004,35.9736,160,2003,2005,1851 +US-Dk3,"Duke Forest Loblolly Pine",NC,-79.0942,35.9782,163,1998,2005,1851 +US-Ha1,"Harvard Forest",MA,-72.5378,42.5378,303,1991,2006,1851 +US-Ho1,"Howland Forest Main",ME,-68.7402,45.2041,60,1996,2018,1851 +US-IB1,"Fermi Agricultural",IL,-88.2227,41.8593,227,2005,2007,1851 +US-IB2,"Fermi Prairie",IL,-88.2410,41.8406,227,2004,2007,1851 +US-Ivo,Ivotuk,AK,-155.7503,68.4865,570,2003,2006,1851 +US-Knz,"Konza",KS,-96.6091,39.1069,400,1991,2012,1851 +US-Los,"Lost Creek",WI,-89.9792,46.0827,480,2000,2006,1851 +US-Me2,"Metolius Intermediate Pine",OR,-121.5572,44.4524,1253,2002,2008,1851 +US-Me3,"Metolius New Young Pine",OR,-121.6078,44.3157,1005,2004,2005,1851 +US-Me4,"Metolius Old Pine",OR,-121.6224,44.4992,915,1996,2000,1851 +US-Me5,"Metolius First Young Pine",OR,-121.5668,44.4372,1183,1999,2002,1851 +US-MMS,"Morgon Monroe State Forest",IN,-86.4131,39.3232,275,1999,2017,1851 +US-MOz,"Missouri Ozark Site",MO,-92.2,38.7441,291.4,2004,2014,1851,-6 +US-Mpj,"Mountainair Pinyon-Juniper",NM,-106.2377,34.4385,2196,2008,2017,1851 +US-Ne1,"Mead Irrigated",NE,-96.4766,41.1651,361,2001,2006,1851 +US-Ne2,"Mead Irrigated Rotation",NE,-96.4701,41.1649,361,2001,2006,1851 +US-Ne3,"Mead Rainfed",NE,-96.4396,41.1797,361,2001,2006,1851 +US-NR1,"Niwot Ridge",CO,-105.5464,40.0329,3050,1998,2014,1851 +US-OR3,"Oak Ridge C3 grass",TN,-84.2696,36.0104,300,1990,2010,1851 +US-OR4,"Oak Ridge C4 grass",TN,-84.2696,36.0104,300,1990,2010,1851 +US-PFa,"Park Falls",WI,-90.2723,45.9459,485,1995,2005,1851 +US-Pit,"Pits site",TN,-84.3324,35.9311,350,2002,2010,1851 +US-PRR,"Fairbanks",AK,-147.5,65.49738,200,2000,2010,1851 +US-Shd,"Shidler Tallgrass Prairie",OK,-96.6833,36.9333,350,1997,2000,1851 +US-SO2,"Sky Oaks Old",CA,-116.6229,33.3739,1392,1998,2006,1851 +US-SP1,"Austin Cary",FL,-82.22,29.74,100,1901,1920,1851 +US-SPR,"Spruce site",MN,-93.438,47.563,430,2015,2021,1851,2,1,0.1,0.1 +US-Syv,"Sylvania Wilderness",MI,-89.3477,46.2420,540,2001,2012,1851 +US-TFW,"Tidal_forested_wetland",SC,-81.0,32.2,10,10,10,10,10,10,10,10,10,10,2001,2012,1851 +US-Ton,"Tonzi Ranch",CA,-120.9660,38.4316,177,2001,2007,1851 +US-UMB,"UMBS",MI,-84.7138,45.5598,234,2000,2014,1851 +US-VA1,"US-VA1",VA,-86,36,100,1991,2010,1851 +US-Var,"Vaira Ranch",CA,-120.9507,38.4067,129,2000,2007,1851 +US-WCr,"Willow Creek",WI,-90.0799,45.8059,520,1998,2006,1851 +US-XXX,"TEST SITE",XX,150.74,-33.62,100,2000,2000,1851 +BW-Ghm,"Botswana',BW,31.50,-25.02,100,1900,1920,1851 +REFCASE,"REFCASE",XX,-90,45,100,2000,2000,1851 diff --git a/inputdata/PTCLM/AmeriFlux_soildata.txt b/inputdata/PTCLM/AmeriFlux_soildata.txt new file mode 100644 index 0000000..c5217c1 --- /dev/null +++ b/inputdata/PTCLM/AmeriFlux_soildata.txt @@ -0,0 +1,28 @@ +site_code,soil_depth,n_layers,layer_depth,layer_sand%,layer_clay% +BR-Cax,-999,1,-999,20.0,10.0 +BR-Sa1,-999,1,-999,25.0,25.0 +BR-Sa3,-999,1,-999,25.0,25.0 +PR-LUQ,-999,1,-999,46.0,31.0 +PR-LQ1,-999,1,-999,46.0,31.0 +SE-CO2,-999,1,-999,30.0,30.0 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+12/31/16,23:45,2,1,388.164923,0.19147046,1.625444674,NaN,NaN,-55.19057912,1,NaN,4,100.8818088,93.13008118,4.701720206,0.202595862,3.940000057,0.536411974,NaN,NaN,NaN,NaN,NaN,NaN,NaN,0.7,NaN,NaN,NaN,NaN,NaN,NaN,NaN,-0.016276667,261.8734596,1.347237348,0.539467619,1.020911502,0.599868644,223.2773018,7.785577263,12.96655369,0.053460935,NaN,0.231757501,NaN \ No newline at end of file diff --git a/metdata_tools/site/data_to_elmbypass.py b/metdata_tools/site/data_to_elmbypass.py new file mode 100644 index 0000000..d32392b --- /dev/null +++ b/metdata_tools/site/data_to_elmbypass.py @@ -0,0 +1,87 @@ +import numpy as np +from netCDF4 import Dataset +import os,sys +import gapfill +import write_elm_met + +#------- user input ------------- +site = 'MAR-NE' +start_year = 2016 +end_year = 2016 +time_offset = -5 #Standard time offset from UTC (e.g. EST is -5) +npd = 48 #number of time steps per day (48 = half hourly) +mylon = 270.0 #site longitude (0 to 360) +mylat = 45.0 #site latitude +measurement_height = 30 #tower height (m) +fname_template = 'SITE-EddyFluxTallTower-YYYY.csv' +calc_flds = True #use T and RH to comput FLDS (use if data missing or sparse) +leapdays = True #input data has leap days (to be removed for ELM) +outdir = './1x1pt_'+site+'/' #Desired directory for ELM met inputs + +metdata={} +#outvars - met variables used as ELM inputs +#invars - corresponding variables to be read from input file +#conv_add - offset for converting units (e.g. C to K) +#conv_mult - multiplier for converting units (e.g. hPa to Pa, PAR to FSDS) +#valid_min - minimum acceptable value for this variable (set as NaN outside range) +#valid_max - maximum acceptable value for this variable (set as NaN outside range) + +#Note - FLDS not included here (calculated) +outvars = ['TBOT','RH','WIND','PSRF','FSDS', 'PRECTmms'] +invars = ['TA', 'RH','WS', 'PA', 'PPFD_OUT', 'H2O'] #matching header of input file +conv_add = [273.15, 0, 0, 0, 0, 0] +conv_mult= [ 1, 1, 1, 1000,1./(0.48*4.6), 1] +valid_min= [180.00, 0, 0, 8e4, 0, 0] +valid_max= [350.00,100., 80,1.5e5, 2500, 15] + +#ELM Variable names and units +#TBOT: Air temperature at measurement (tower) height (K) +#RH: Relative humidity at measurment height (%) +#WIND: Wind speeed at measurement height (m/s) +#PSRF: air pressure at surface (Pa) +#FSDS: Incoming Shortwave radiation (W/m2) +#FLDS: Incoming Longwave radiation (W/m2) +#PRECTmms: Precipitation (kg/m2/s) + + +os.system('mkdir -p '+outdir) +for v in outvars: + metdata[v] = [] + +#Load the data +for y in range(start_year,end_year+1): + if (y % 4) == 0: + isleapyear = True + filename = fname_template.replace('SITE',site).replace('YYYY',str(y)) + lnum= 0 + myfile = open(filename,'r') + for s in myfile: + if (lnum == 0): + header=s.split(',') + else: + #skip leap days + if (not leapdays or (not isleapyear or (isleapyear and (lnum-1)/npd != 59))): + data=s.split(',') + for v in range(0,len(invars)): + for h in range(0,len(header)): + if header[h] == invars[v]: + try: + val = float(data[h])*conv_mult[v]+conv_add[v] + if (val >= valid_min[v] and val <= valid_max[v]): + metdata[outvars[v]].append(val) + else: + metdata[outvars[v]].append(np.NaN) + except: + metdata[outvars[v]].append(np.NaN) + lnum=lnum+1 + +#Fill missing values with diurnal mean +for key in metdata: + print(key) + gapfill.diurnal_mean(metdata[key],npd=npd) + + +out_fname = outdir+'/all_hourly.nc' +write_elm_met.bypass_format(out_fname, metdata, mylat, mylon, start_year, end_year, edge=0.1, \ + time_offset=time_offset, calc_qbot = False, calc_lw = calc_flds, zbot=measurement_height) + diff --git a/metdata_tools/site/gapfill.py b/metdata_tools/site/gapfill.py new file mode 100644 index 0000000..862ba54 --- /dev/null +++ b/metdata_tools/site/gapfill.py @@ -0,0 +1,17 @@ +import numpy as np + + +def diurnal_mean(var, window=10, npd=24): + + diurnal_mean = np.zeros([365,npd], np.float) + for d in range(0,365): + for h in range(0,npd): + diurnal_mean[d,h] = np.nanmean(var[max(d-window,0)*npd+h:min(d+window,364)*npd+h:npd]) + + for i in range(0,len(var)): + if (np.isnan(var[i])): + d = int((i % 365*npd) / npd) + h = int(i % npd) + var[i] = diurnal_mean[d,h] + + diff --git a/metdata_tools/site/write_elm_met.py b/metdata_tools/site/write_elm_met.py new file mode 100644 index 0000000..e8956fe --- /dev/null +++ b/metdata_tools/site/write_elm_met.py @@ -0,0 +1,131 @@ +from netCDF4 import Dataset +import numpy as np +import os +#coefficients for calculating saturation vapor pressure +a = [6.107799961, 4.436518521e-01, 1.428945805e-02, 2.650648471e-04, \ + 3.031240396e-06, 2.034080948e-08, 6.136820929e-11] +b = [6.109177956, 5.034698970e-01, 1.886013408e-02, 4.176223716e-04, \ + 5.824720280e-06, 4.838803174e-08, 1.838826904e-10] + + +#Function for cacluating saturation specific humidity +def calc_q(e_in, pres): + myq = 0.622 * e_in / (pres - 0.378*e_in) + return myq + +def esat(t): + if (t[0] > 0): + myesat = (a[0]+t*(a[1]+t*(a[2]+t*(a[3]+t*(a[4]+t*(a[5]+t*a[6])))))) + else: + myesat = (b[0]+t*(b[1]+t*(b[2]+t*(b[3]+t*(b[4]+t*(b[5]+t*b[6])))))) + return myesat + + +def bypass_format(filename, met_data, lat, lon, startyear, endyear, edge=0.1, time_offset=0, calc_qbot = False, calc_lw = False, zbot=10): + metvars = met_data.keys() + + units={} + units['TBOT'] = 'K' + units['TSOIL'] = 'K' + units['RH'] = '%' + units['WIND'] = 'm/s' + units['FSDS'] = 'W/m2' + units['PAR'] = 'umol/m2/s' + units['FLDS'] = 'W/m2' + units['PSRF'] = 'Pa' + units['PRECTmms'] = 'kg/m2/s' + units['QBOT'] = 'kg/kg' + units['ZBOT'] = 'm' + long_names = {} + long_names['TBOT'] = 'temperature at the lowest atm level (TBOT)' + long_names['RH'] = 'relative humidity at the lowest atm level (RH)' + long_names['WIND'] = 'wind at the lowest atm level (WIND)' + long_names['FSDS'] = 'incident solar (FSDS)' + long_names['FLDS'] = 'incident longwave (FLDS)' + long_names['PSRF'] = 'pressure at the lowest atm level (PSRF)' + long_names['PRECTmms'] = 'precipitation (PRECTmms)' + long_names['QBOT'] = 'specific humidity at the lowest atm level (QBOT)' + long_names['ZBOT'] = 'observational height (ZBOT)' + + nt = len(met_data['TBOT']) + npd = np.round(nt/(endyear-startyear+1))/365 + + all_hourly = Dataset(filename,'w') + all_hourly.createDimension('DTIME', nt) + all_hourly.createDimension('gridcell',1) + all_hourly.createDimension('scalar',1) + for v in metvars: + all_hourly.createVariable(v, 'f', ('gridcell','DTIME',)) + nshift = int(abs(time_offset*int(npd/24))) + if (time_offset < 0): + all_hourly[v][0,nshift:] = met_data[v][:-1*nshift] + all_hourly[v][0,0:nshift] = met_data[v][0] + elif (time_offset > 0): + all_hourly[v][0,:-1*nshift] = met_data[v][nshift:] + all_hourly[v][0,-1*nshift:] = met_data[v][nt-1] + else: + all_hourly[v][0,:] = met_data[v][:] + all_hourly[v].units = units[v] + all_hourly[v].long_name = long_names[v] + all_hourly[v].mode = 'time-dependent' + + if (calc_qbot): + all_hourly.createVariable('QBOT','f',('gridcell','DTIME',)) + all_hourly.createVariable('VPD','f',('gridcell','DTIME',)) + mye = esat(all_hourly['TBOT'][0,:]-273.15) * all_hourly['RH'][0,:]/100. + all_hourly['VPD'][0,:] = esat(all_hourly['TBOT'][0,:]-273.15) * (1.0 - all_hourly['RH'][0,:]/100.)*100. + all_hourly['VPD'].units = units['VPD'] + all_hourly['VPD'].long_name = long_names['VPD'] + all_hourly['VPD'].mode = 'time_dependent' + + all_hourly['QBOT'][0,:] = calc_q(mye, all_hourly['PSRF'][0,:]/100.) + all_hourly['QBOT'].units = units['QBOT'] + all_hourly['QBOT'].long_name = long_names['QBOT'] + all_hourly['QBOT'].mode = 'time_dependent' + + if (calc_lw): + all_hourly.createVariable('FLDS','f',('gridcell','DTIME',)) + stebol = 5.67e-8 + mye = esat(all_hourly['TBOT'][0,:]-273.15) * all_hourly['RH'][0,:]/100. + ea = 0.70 + 5.95e-5*mye*np.exp(1500.0/all_hourly['TBOT'][0,:]) + all_hourly['FLDS'][0,:] = ea * stebol * (all_hourly['TBOT'][0,:]) ** 4 + + if (not 'ZBOT' in metvars): + all_hourly.createVariable('ZBOT','f',('gridcell','DTIME',)) + all_hourly['ZBOT'][:,:] = zbot + all_hourly['ZBOT'].units = units['ZBOT'] + all_hourly['ZBOT'].long_name = long_names['ZBOT'] + all_hourly['ZBOT'].mode = 'time_dependent' + + all_hourly.close() + + os.system('ncpdq '+filename+' '+filename+'_pk') + os.system('mv '+filename+'_pk '+filename) + output_data = Dataset(filename,'a') + output_data.createDimension('scalar', 1) + output_data.createVariable('DTIME', 'f8', 'DTIME') + output_data.variables['DTIME'].long_name='observation time' + output_data.variables['DTIME'].units='days since '+str(startyear)+'-01-01 00:00:00' + output_data.variables['DTIME'].calendar='noleap' + n_years = endyear-startyear+1 + output_data.variables['DTIME'][:] = np.cumsum(np.ones([int(n_years*365*npd)], np.float)/npd)-0.5/npd + output_data.createVariable('LONGXY', 'f8', 'gridcell') + output_data.variables['LONGXY'].long_name = "longitude" + output_data.variables['LONGXY'].units = 'degrees E' + output_data.variables['LONGXY'][:] = lon + output_data.createVariable('LATIXY', 'f8', 'gridcell') + output_data.variables['LATIXY'].long_name = "latitude" + output_data.variables['LATIXY'].units = 'degrees N' + output_data.variables['LATIXY'][:] = lat + output_data.createVariable('start_year', 'i4', 'scalar') + output_data.variables['start_year'][:] = startyear + output_data.createVariable('end_year', 'i4', 'scalar') + output_data.variables['end_year'][:] = endyear + output_data.close() + + + #for y in range(startyear,endyear): + # for m in range(0,12): + # mst = str(101+m)[1:] + # monthly = Dataset('1x1pt_'+site+'/'+str(y)+'-'+mst+'.nc','w') +