6
Table 3. Summary of the station data used in the PRISM Norm91m dataset. Descriptions of the station networks are given in
appendix Table A1.
Tmax, tmin
AGRIMET, AGWXNET, ARLFRD, ASOS/ISH,
AZMET, CDEC, CEMP, CIMIS, COAGMET,
COOP, DEOS, EC, FAWN, HJA, KSTATE,
KYMESONET, LCRA, LUKEAFB, MAWN,
MEXICO, NCECONET, NDAWN, NDBC,
NEMESO, NEVCAN, NJWXNET,
OKMESONET, RAWS, SCAN, SNOTEL,
UCC-AGNET, UGA, UPPERAIR, USA,
USCRN, USLTER, UTAHCLIMATECENTER,
UUNET, WBAN, WRCC, WTEXAS
Ppt
AGRIMET, AGWXNET, CDEC, COCORAHS,
COOP, EC, HDSC, HJA, MEXICO, MN,
NDSWC, NVDWR, OKMESONET, SFWMD,
SNOTEL, SNOWCOURSE, STORAGE,
USCRN, USLTER, WBAN, WRCC
Tdmean,
vpdmin,
vpdmax
AGRIMET, AGWXNET, ARLFRD, ASOS/ISH,
AZMET, CEMP, CIMIS, COAGMET, COOP,
DRI, FAWN, HJA, KSTATE, KYMESONET,
LCRA, LUKEAFB, MAWN, NCECONET,
NDAWN, NDBC, NEMESO, NEVCAN,
NJWXNET, OKMESONET, RAWS, SCAN,
SNOTEL, UCC-AGNET, UGA, UPPERAIR,
USA, USCRN, USLTER,
UTAHCLIMATECENTER, UUNET, WBAN,
Soltotal,
solslope,
solclear,
soltrans
AGRIMET, AGWXNET, AIRNOW, ARLFRD,
ARLSORD, ASOS, AZMET, CEMP, CIMIS,
COAGMET, CWOP, DEOS, DRI, DTN,
FAWN, FGNET, HADS, HJA, KSTATE,
KYMESONET, LUKEAFB, MAWN,
NCECONET, NDAWN, NEMESO, NEVCAN,
NJWXNET, NMAQ, NMCC, NSRDB,
OKMESONET, RAWS, SCAN, SD-MESONET,
SNOTEL, SRP, SURFRAD, TWDB, UCC-
AGNET, UGA, UOREGON, USA, USCRN,
USLTER, UTAHCLIMATECENTER, UUNET,
Norm91m
Climate elements: tmin, tmax, tmean (derived), ppt, tdmean, vpdmin, vpdmax, soltotal, solslope, solclear, soltrans
Units and scaling: tmin, tmax, tmean, tdmean (deg C); ppt (mm); vpdmin, vpdmax (hPa); soltotal, solslope,
solclear (MJ m
-2
day
-1
); soltrans (dimensionless, 0-1); all values are floating point
Description: Monthly 30-year “normal” dataset covering the conterminous US, averaged over the period 1991-
2020. Interpolation method for tmin, tmax, and ppt used PRISM with a DEM (digital elevation model) as the
predictor grid. Interpolation of tdmean used PRISM with tmin as the predictor grid. Interpolation of vpdmin and
vpdmax used PRISM with tdmean, in combination with tmin and tmax, respectively, as the predictor grids.