40d66c8d-b148-11df-b556-00219b106224
eng
Aaron Berg
University of Guelph
50 Stone Road East
Guelph
Ontario
N1G 2W1
Canada
aberg@uoguelph.ca
custodian
Gordon Drewitt
University of Guelph
50 Stone Road East
Guelph
Ontario
N1G 2W1
Canada
gdrewitt@uoguelph.ca
custodian
2010-08-26
ISO 19115
ISO19115:2003/Cor 1 2006
Western North American Land Surface Dataset
2010-08-26
publication
Atmospheric forecast models are initialized with climatological values of land surface states. However, to obtain a realistic estimate of the actual current land surface state, a combination of observation and modelling is required. In this case, meteorological data was obtained from the North American Reanalysis (NARR) dataset. This data provides a suite of meteorological and surface variables over the continent at a timestep of three hours from 1979 to the present. The NARR data were regridded to the domain of interest which corresponds to Western North America, commonly referred to as the MAGS grid (Mackenzie Area Gewex Study). The MAGS grid was chosen since detailed information about soil and vegetation types are available. The regridded meteorologcal data was then organized to run the CLASS (Canadian LAnd Surface Scheme) model over each grid cell of the MAGS domain. However, before the model was run, three of the meteorological fields were bias-corrected using monthly observation datasets. The fields that were corrected included surface air temperature, precipitation and short wave radiation. The reason for the bias-correction is that these variables can have a large effect on the accuracy of hydrological variables in land surface models. Drewitt-Berg MAGS-NARR data page 2 of 5 The other meteorological variables used by CLASS are longwave radiation, surface pressure, windspeed and specific humidity. Once CLASS is run for the approximately 4000 grid cells, the data is regridded back to the MAGS grid and downsampled from the half-hourly CLASS timestep to a 6-hourly timestep (by averaging). Variables include: Snow Albedo, Plant Growth Index, Liquid water on canopy, Snow density, Snow mass on canopy, liquid water in snow, Canopy temperature, 0-10cm 10-35 cm and 35-410 cm soil temperature and volumetric water and ice content, Snow Temperature and Snow depth. If anyone is using this dataset it is requested that they contact the authors (Aaron Berg or Gordon Drewitt)
The intention for the dataset is to investigate the importance of realistic initialization fields in regional and global forecasts of weather and climate.
completed
Land Surface > Soils > Soil Moisture/Water Content
Land Surface > Soils > Soil Temperature
Terrestrial Hydrosphere > Snow/Ice > Albedo
Terrestrial Hydrosphere > Snow/Ice > Snow Density
Terrestrial Hydrosphere > Snow/Ice > Snow Depth
Terrestrial Hydrosphere > Snow/Ice > Snow Temperature
GCMD
2004-04-01
publication
grid
~0.33 degree
eng
climatologyMeteorologyAtmosphere
-142.05
9.60
35.75
84.40
01/01/1979
12/31/2008
TXT
N/A
DRI Data Legacy
http://www.drinetwork.ca/data-legacy/metadata/western_north_america_class.php
Distributor
4800
http://odin.meteo.mcgill.ca/dri_download/western_north_america_class.zip