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Exercise 1. Bart van den Hurk (KNMI/IMAU). Exercise with GSWP2 simulation. GSWP2 = Global Soil Wetness Project 10 year (1986-1995) after 2.5yrs spin-up worldwide (~15000 gridpoints) Forcings: rain, snow, shortwave, longwave, T, q, u, pressure Model version: H-TESSEL

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exercise 1

Exercise 1

Bart van den Hurk


Exercise 1

exercise with gswp2 simulation
Exercise with GSWP2 simulation
  • GSWP2 = Global Soil Wetness Project
  • 10 year (1986-1995) after 2.5yrs spin-up
  • worldwide (~15000 gridpoints)
  • Forcings: rain, snow, shortwave, longwave, T, q, u, pressure
  • Model version: H-TESSEL
    • 6 land tiles (low + high veg, bare, exposed + forest snow, interception)
    • explicit surface runoff
    • Van Genuchten soil hydraulics
    • Jarvis-Stewart canopy resistance
  • Output
    • daily prognostic fields (at 0:00 UTC)
    • daily accumulated fluxes
    • grouped in ~10 files per month

Exercise 1

all variables
All variables


"SubSnow“ # Snow sublimation [kg/m2/s]

"ECanop" # Interception evaporation [kg/m2/s]

"TVeg" # Vegetation transpiration [kg/m2/s]

"ESoil" # Bare soil evaporation [kg/m2/s]

"RootMoist" # Root zone soil moisture [kg/m2]

"CanopInt" # Canopy interception depth [kg/m2]


"SoilDepth" # Soil depth [m]

"M_fielscap" # Field capacity [m3/m3]

"M_wilt" # Wilting point [m3/m3]

"M_sat" # Saturated soil moisture content [m3/m3]


“SoilMoist" # Soil moisture content [kg/m2]

"SoilTemp" # Soil temperature [K]

"AvgSurfT" # Avergae skin temperature [K]

"Icetemp" # Sea ice temperature [K]

"SWE" # Snow mass water eq [kg/m2]

"SnowT“ # Snow temperature [K]

"Snowdens" # Snow density [kg/m3]


"LSoilMoist" # Diagnostic liquid soil water content [kg/m2]

"SoilWet“ # Total soil wetness [-]


"VegT“ # Skin temperature vegetation [K]

"BaresoilT" # Skin temperature bare soil [K]

"RadT" # Surface radiative temperature [K]

"Albedo" # Average albedo [-]


"Rainf" # rainfall rate [kg/m2/s]

"Snowf" # snowfall rate [kg/m2/s]

"Qs" # total runoff [kq/m2/s]

"Qsm“ # snow melt [kg/m2/s]

"Qsb“ # base flow [kg/m2/s]

"Evap" # evaporation [kg/m2/s]

"DelSoilMoist“ # Soil moisture change [kg/m2]

"DelIntercept“ # Interception storage change [kg/m2]

"DelSWE" # Snow Water Equivalent change [kg/m2]


"SnowDepth" # Snow depth [m]

"SnowFrac" # Snow fraction [-]

"IceFrac" # Ice covered gridbox fraction [-]

"Fdepth“ # Frozen soil depth [m]

"Tdepth" # Depth to soil thaw [m]

"SAlbedo“ # Snow albedo [-]


"Qle“ # Average latent heat flux [W/m2]

"Qh" # Average sensible heat flux [W/m2]

"Qg" # Average soil heat flux [W/m2]

"Qf" # Average soil fusion flux [W/m2]

"SWnet" # Net shortwave radiation [W/m2]

"LWnet“ # Net longwave radiation [W/m2]

"DelSoilHeat" # Average soil heat content change [W/m2]

"DelColdCont“ # Average snow heat content change [W/m2]

Exercise 1

surface characteristics
surface characteristics


“MAlbedo“ # Monthly background albedo [-]

“landsea" # land-sea mask [-]

“geopot" # Surface geopotential [m2/s2]

“cvh" # Cover fraction high vegetation [-]

“cvl" # Cover fraction low vegetation [-]

“tvh" # type of high vegetation [lut]

“tvl" # type of low vegetation [lut]

“z0m" # gridbox mean roughness [m]

“lz0h" # log of thermal roughness [-]

“sotype" # soil type[lut]

“sdor" # standard deviation of orography [m]

“clay" # fraction of clay [-]

“sand" # fraction of sand[-]

Exercise 1

examples of research questions
Examples of research questions

Energy use

Make a map of annual mean evaporative fraction

Explain the patterns, discerning

deserts and semi-desert

tropical forests

temperate grassland

boreal forest

Water use

Make a map of annual mean runoff fraction

Explain the patterns

Vertical soil profiles

Make seasonally varying mean vertical profiles of soil moisture and temperature for a number of regions, and explain differences





Temporal variability

Make maps of ratio of interannual variance and mean of annual cycle of soil moisture

Explain the patterns


Make time series of snow budget terms

Explain differences in annual cycles between various regions





Land use

Describe mean annual cycle of

energy partitioning

water partitioning

For a range of land use types


For various land use types, express the dependence of evaporation on soil moisture

Exercise 1

  • Model output and scripts are on venus (linux operating system)
  • Generic tools
    • averaging fields
    • plotting a map
    • making a time series of a variable
  • All output and intermediate files are in netCDF
  • Some example linux and ferret scripts
    • monthly mean output
    • making a map of a 10-yr mean variable in a given season
    • making a time series of 10-yr mean variable

Exercise 1

some useful linux commands
Some useful linux commands
  • Copy:

cp <file1> <file2>

  • Delete:

rm <file(s)>

  • Change directory:

cd <dir>

  • One directory up:

cd ../

  • Display directory contents:

ls –al <*>

  • View contents of netCDF file

ncdump –h <file>

  • Define a variable

set var = <value>

  • Print a variable

echo $var

  • Edit a file (start Exceed from your WINDOWS first)

nedit <file>

Exercise 1

location of files and start up
Location of files and start-up
  • to get zip-file with example scripts and unpack:

cd ~

(goto home directory)

cp /home/mfo/hurk/opdracht.tar .

(get zip-file; don’t forget “.”)

tar xvf opdracht.tar

(unpack zip-file)

  • to initialize some path-settings

cd opdracht/scripts

source environment.txt

  • location of files
    • my directory: $BART (/home/mfo/hurk)
    • your directory: $HOME
    • your preferred work directory: $WRK ($HOME/opdracht/output)
    • model output: $BART/gswp/runs/global/HTESSEL
    • example scripts: $HOME/opdracht/scripts
    • defined variables: $BART/opdracht/script/vardef.inc
  • to call a script from your workdirectory ($WRK):

../script.sc or $WRK/../script.sc

  • general information


Exercise 1

more information
More information
  • Bart van den Hurk
    • hurkvd@knmi.nl

Exercise 1