Concept

model prediction

Related
URI	http://vocab.nerc.ac.uk/collection/S04/current/S041014/1/
Within Vocab	BODC parameter semantic model analytical method entity descriptions
Alternative Labels
Definition	A generic term for a value obtained using a computer simulation
Date	2008-11-03T16:42:43
Identifier	SDN:S04::S041014
Note	accepted
Is Version Of	S041014
version	1
Broader	`S01:S0110`	analytical method entity
	P01 BODC Parameter Usage Vocabulary - (165) [+]
	`P01:IRRDMP01`	4-pi scalar irradiance as photons of electromagnetic radiation (PAR wavelengths) per unit time per unit area of the water body by model prediction
	`P01:IRRDMP02`	4-pi scalar irradiance as photons of electromagnetic radiation (PAR wavelengths) per unit time per unit area of the wet sediment by model prediction
	`P01:ABS440MW`	Absorbance of electromagnetic radiation (440nm wavelength) {light absorbance} by the water body by model prediction
	`P01:ABS440MS`	Absorbance of electromagnetic radiation (440nm wavelength) {light absorbance} by the wet sediment by model prediction
	`P01:BS550MPW`	Attenuation due to backscatter of electromagnetic radiation (550nm wavelength) by the water body by model prediction
	`P01:BS550MPS`	Attenuation due to backscatter of electromagnetic radiation (550nm wavelength) by the wet sediment by model prediction
	`P01:ATTNMP03`	Attenuation of electromagnetic radiation (490nm wavelength) per unit length of the sediment pore water by model prediction
	`P01:ATTNMP01`	Attenuation of electromagnetic radiation (490nm wavelength) per unit length of the water body by model prediction
	`P01:BODMOD01`	Biochemical oxygen demand {BOD} per unit volume of the water body by model prediction
	`P01:BODMOD02`	Biochemical oxygen demand {BOD} per unit volume of the wet sediment by model prediction
	`P01:NBRWMBM1`	Biomass as nitrogen of benthic microalgae [Subcomponent: intracellular reserve pool] per unit volume of the water body by model prediction
	`P01:NBRSMBM1`	Biomass as nitrogen of benthic microalgae [Subcomponent: intracellular reserve pool] per unit volume of the wet sediment by model prediction
	`P01:NBSWMBM1`	Biomass as nitrogen of benthic microalgae [Subcomponent: structural cellular components] per unit volume of the water body by model prediction
	`P01:NBSSMBM1`	Biomass as nitrogen of benthic microalgae [Subcomponent: structural cellular components] per unit volume of the wet sediment by model prediction
	`P01:NB9623MO`	Biomass as nitrogen of coral [Subcomponent: host tissue] per unit area of the bed by model prediction
	`P01:SGDRTN02`	Biomass as nitrogen of Halophila decipiens (ITIS: 38961: WoRMS 145713) [Subcomponent: roots+rhizomes] per unit area of the bed by model prediction
	`P01:NB9625MO`	Biomass as nitrogen of Halophila decipiens (ITIS: 38961: WoRMS 145713) per unit area of the bed by model prediction
	`P01:SGHRTN02`	Biomass as nitrogen of Halophila ovalis (ITIS: 38959: WoRMS 208930) [Subcomponent: roots+rhizomes] per unit area of the bed by model prediction
	`P01:NB9621MO`	Biomass as nitrogen of Halophila ovalis (ITIS: 38959: WoRMS 208930) per unit area of the bed by model prediction
	`P01:NB9624MO`	Biomass as nitrogen of macroalgae per unit area of the bed by model prediction
	`P01:NBWMMZ01`	Biomass as nitrogen of metazoan zooplankton per unit volume of the water body by model prediction
	`P01:NBSMMZ01`	Biomass as nitrogen of metazoan zooplankton per unit volume of the wet sediment by model prediction
	`P01:NBRWMLP1`	Biomass as nitrogen of phytoplankton [Size: large Subcomponent: intracellular reserve pool] per unit volume of the water body by model prediction
	`P01:NBRSMLP1`	Biomass as nitrogen of phytoplankton [Size: large Subcomponent: intracellular reserve pool] per unit volume of the wet sediment by model prediction
	`P01:NBSWMLP1`	Biomass as nitrogen of phytoplankton [Size: large Subcomponent: structural cellular components] per unit volume of the water body by model prediction
	`P01:NBSSMLP1`	Biomass as nitrogen of phytoplankton [Size: large Subcomponent: structural cellular components] per unit volume of the wet sediment by model prediction
	`P01:NBRWMSP1`	Biomass as nitrogen of phytoplankton [Size: small Subcomponent: intracellular reserve pool] per unit volume of the water body by model prediction
	`P01:NBRSMSP1`	Biomass as nitrogen of phytoplankton [Size: small Subcomponent: intracellular reserve pool] per unit volume of the wet sediment by model prediction
	`P01:NBSWMSP1`	Biomass as nitrogen of phytoplankton [Size: small Subcomponent: structural cellular components] per unit volume of the water body by model prediction
	`P01:NBSSMSP1`	Biomass as nitrogen of phytoplankton [Size: small Subcomponent: structural cellular components] per unit volume of the wet sediment by model prediction
	`P01:NBWMPZ01`	Biomass as nitrogen of protozoan zooplankton per unit volume of the water body by model prediction
	`P01:NBSMPZ01`	Biomass as nitrogen of protozoan zooplankton per unit volume of the wet sediment by model prediction
	`P01:NBRWMTR1`	Biomass as nitrogen of Trichodesmium (ITIS: 918: WoRMS 177604) [Subcomponent: intracellular reserve pool] per unit volume of the water body by model prediction
	`P01:NBRSMTR1`	Biomass as nitrogen of Trichodesmium (ITIS: 918: WoRMS 177604) [Subcomponent: intracellular reserve pool] per unit volume of the wet sediment by model prediction
	`P01:NBSWMTR1`	Biomass as nitrogen of Trichodesmium (ITIS: 918: WoRMS 177604) [Subcomponent: structural cellular components] per unit volume of the water body by model prediction
	`P01:NBSSMTR1`	Biomass as nitrogen of Trichodesmium (ITIS: 918: WoRMS 177604) [Subcomponent: structural cellular components] per unit volume of the wet sediment by model prediction
	`P01:NBZOXAM1`	Biomass as nitrogen of zooxanthellae [Subgroup: in coral tissue] per unit area of the bed by model prediction
	`P01:ZOSRTN02`	Biomass as nitrogen of Zostera (ITIS: 39073: WoRMS 144233) [Subcomponent: roots+rhizomes] per unit area of the bed by model prediction
	`P01:NB9622MO`	Biomass as nitrogen of Zostera (ITIS: 39073: WoRMS 144233) per unit area of the bed by model prediction
	`P01:CODMOD01`	Chemical oxygen demand {COD} per unit volume of the water body by model prediction
	`P01:CODMOD02`	Chemical oxygen demand {COD} per unit volume of the wet sediment by model prediction
	`P01:CPHLMMMO`	Concentration monthly mean of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body by model prediction
	`P01:AMONSPM1`	Concentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:AMONMOD1`	Concentration of ammonium {NH4+ CAS 14798-03-9} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:BCRBMODS`	Concentration of bicarbonate {HCO3− CAS 71-52-3} per unit volume of the sediment pore water by model prediction
	`P01:BCRBMOD1`	Concentration of bicarbonate {HCO3− CAS 71-52-3} per unit volume of the water body by model prediction
	`P01:CCO2MOD1`	Concentration of carbon dioxide {CO2 CAS 124-38-9} per unit volume of the atmosphere by model prediction
	`P01:CRBMOD0S`	Concentration of carbonate {CO32- CAS 3812-32-6} per unit volume of the sediment pore water by model prediction
	`P01:CRBMOD01`	Concentration of carbonate {CO32- CAS 3812-32-6} per unit volume of the water body by model prediction
	`P01:CPHLMOD1`	Concentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the water body by model prediction
	`P01:CPHLWSM1`	Concentration of chlorophyll-a {chl-a CAS 479-61-8} per unit volume of the wet sediment by model prediction
	`P01:CDIURMD1`	Concentration of diuron {3-(3,4-dichlorophenyl)-1,1-dimethylurea CAS 330-54-1} per unit volume of the water body by model prediction
	`P01:CINCSPM1`	Concentration of inorganic carbon {inorganic_C CAS 7440-44-0} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:CINCMOD1`	Concentration of inorganic carbon {inorganic_C CAS 7440-44-0} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CINNSPM1`	Concentration of inorganic nitrogen {inorganic_N} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:CINNMOD1`	Concentration of inorganic nitrogen {inorganic_N} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CINPSPM1`	Concentration of inorganic phosphorus {inorganic_P CAS 7723-14-0} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:CINPMOD1`	Concentration of inorganic phosphorus {inorganic_P CAS 7723-14-0} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CINPMOD2`	Concentration of inorganic phosphorus {inorganic_P CAS 7723-14-0} per unit volume of the water body [particulate >unknown phase] by model prediction
	`P01:CINPWSM1`	Concentration of inorganic phosphorus {inorganic_P CAS 7723-14-0} per unit volume of the wet sediment by model prediction
	`P01:NTRZSPM1`	Concentration of nitrate+nitrite {NO3+NO2} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:NTRZMOD1`	Concentration of nitrate+nitrite {NO3+NO2} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CORCSPM1`	Concentration of organic carbon {organic_C CAS 7440-44-0} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:CORCMOD1`	Concentration of organic carbon {organic_C CAS 7440-44-0} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CORNSPM1`	Concentration of organic nitrogen {organic_N} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:CORNMOD1`	Concentration of organic nitrogen {organic_N} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CORPSPM1`	Concentration of organic phosphorus {organic_P CAS 7723-14-0} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:CORPMOD1`	Concentration of organic phosphorus {organic_P CAS 7723-14-0} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:DOXYSPM1`	Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:OXYSMOD1`	Concentration of oxygen {O2 CAS 7782-44-7} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CTOCMOD1`	Concentration of total carbon {total_C CAS 7440-44-0} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CTOCWSM1`	Concentration of total carbon {total_C CAS 7440-44-0} per unit volume of the wet sediment by model prediction
	`P01:CTONMOD1`	Concentration of total nitrogen {total_N} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CTONWSM1`	Concentration of total nitrogen {total_N} per unit volume of the wet sediment by model prediction
	`P01:CTOPMOD1`	Concentration of total phosphorus {total_P CAS 7723-14-0} per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:CTOPWSM1`	Concentration of total phosphorus {total_P CAS 7723-14-0} per unit volume of the wet sediment by model prediction
	`P01:POROMP01`	Concentration of water {H2O CAS 7732-18-5} {porosity} per unit volume of wet sediment by model prediction
	`P01:DENSMP01`	Density of the sediment pore water by model prediction
	`P01:ADEPMP01`	Depth (spatial coordinate) of Secchi disk relative to water surface in the water body by model prediction
	`P01:WIND10DF`	Direction (from) of wind (at 10 metres) relative to True North {wind direction} in the atmosphere by model prediction
	`P01:WIND10DT`	Direction (towards) of wind (at 10 metres) relative to True North in the atmosphere by model prediction
	`P01:DWIRRXMP`	Downwelling vector irradiance as energy of electromagnetic radiation (PAR wavelengths) per unit area of the bed by model prediction
	`P01:LCEWTIM1`	Eastward velocity of water current (tidal) in the water body by model prediction
	`P01:LCEWMP01`	Eastward velocity of water current in the water body by model prediction
	`P01:ESEWMPXX`	Eastward velocity of wind in the atmosphere by model prediction
	`P01:CNCPRT01`	Mass concentration of particles (dust) in the sediment by model prediction
	`P01:CNCPRT09`	Mass concentration of particles (dust) in the water body by model prediction
	`P01:CNCPRT02`	Mass concentration of particles (fine-grained sediment) in the sediment by model prediction
	`P01:CNCPRT10`	Mass concentration of particles (fine-grained sediment) in the water body by model prediction
	`P01:CNCPRT07`	Mass concentration of particles (gravel carbonate) in the sediment by model prediction
	`P01:CNCPRT15`	Mass concentration of particles (gravel carbonate) in the water body by model prediction
	`P01:CNCPRT08`	Mass concentration of particles (gravel mineral) in the sediment by model prediction
	`P01:CNCPRT16`	Mass concentration of particles (gravel mineral) in the water body by model prediction
	`P01:CNCPRT03`	Mass concentration of particles (mud carbonate) in the sediment by model prediction
	`P01:CNCPRT11`	Mass concentration of particles (mud carbonate) in the water body by model prediction
	`P01:CNCPRT04`	Mass concentration of particles (mud mineral) in the sediment by model prediction
	`P01:CNCPRT12`	Mass concentration of particles (mud mineral) in the water body by model prediction
	`P01:CNCPRT05`	Mass concentration of particles (sand carbonate) in the sediment by model prediction
	`P01:CNCPRT13`	Mass concentration of particles (sand carbonate) in the water body by model prediction
	`P01:CNCPRT06`	Mass concentration of particles (sand mineral) in the sediment by model prediction
	`P01:CNCPRT14`	Mass concentration of particles (sand mineral) in the water body by model prediction
	`P01:CALMOD01`	Net production rate monthly mean of calcium carbonate {CaCO3 CAS 471-34-1} {calcification rate} per unit time per unit area of the bed by model prediction
	`P01:CALMOD02`	Net production rate of calcium carbonate {CaCO3 CAS 471-34-1} {calcification rate} per unit time per unit area of the bed by model prediction
	`P01:FLCO2SMD`	Net upward flux (into atmosphere) of carbon dioxide (expressed as carbon) {CO2_as_C CAS 124-38-9} per unit area per unit time from the sediment by model prediction
	`P01:FLCO2MOD`	Net upward flux (into atmosphere) of carbon dioxide (expressed as carbon) {CO2_as_C CAS 124-38-9} per unit area per unit time from the water body by model prediction
	`P01:FLOXYSMD`	Net upward flux (into atmosphere) of oxygen {O2 CAS 7782-44-7} per unit area per unit time from the sediment by model prediction
	`P01:FLOXYMOD`	Net upward flux (into atmosphere) of oxygen {O2 CAS 7782-44-7} per unit area per unit time from the water body by model prediction
	`P01:LCNSTIM1`	Northward velocity of water current (tidal) in the water body by model prediction
	`P01:LCNSMP01`	Northward velocity of water current in the water body by model prediction
	`P01:ESNSMPXX`	Northward velocity of wind in the atmosphere by model prediction
	`P01:PCO2MOD2`	Partial pressure of carbon dioxide {CO2 CAS 124-38-9} {pCO2} in the sediment pore water by model prediction
	`P01:PCO2MOD1`	Partial pressure of carbon dioxide {CO2 CAS 124-38-9} {pCO2} in the water body by model prediction
	`P01:PHTLMP02`	pH (total scale) {pH[T]} of the sediment pore water by model prediction
	`P01:PHTLMP01`	pH (total scale) {pH[T]} of the water body by model prediction
	`P01:PSLTMP02`	Practical salinity of the sediment pore water by model prediction
	`P01:PSLTMP01`	Practical salinity of the water body by model prediction
	`P01:AMONSMOD`	Production rate of ammonium {NH4+ CAS 14798-03-9} per day per unit volume of the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:AMONWMOD`	Production rate of ammonium {NH4+ CAS 14798-03-9} per day per unit volume of the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:LRZOXAM1`	Relative loss rate of zooxanthellae from the coral [Subcomponent: host tissue] in the water body by model prediction
	`P01:RRSWMP32`	Remote sensing reflectance of electromagnetic radiation (400nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP01`	Remote sensing reflectance of electromagnetic radiation (410nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP02`	Remote sensing reflectance of electromagnetic radiation (412nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP03`	Remote sensing reflectance of electromagnetic radiation (443nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP04`	Remote sensing reflectance of electromagnetic radiation (470nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP05`	Remote sensing reflectance of electromagnetic radiation (486nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP06`	Remote sensing reflectance of electromagnetic radiation (488nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP07`	Remote sensing reflectance of electromagnetic radiation (490nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP08`	Remote sensing reflectance of electromagnetic radiation (510nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP09`	Remote sensing reflectance of electromagnetic radiation (531nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP10`	Remote sensing reflectance of electromagnetic radiation (547nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP11`	Remote sensing reflectance of electromagnetic radiation (551nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP12`	Remote sensing reflectance of electromagnetic radiation (555nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP13`	Remote sensing reflectance of electromagnetic radiation (560nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP14`	Remote sensing reflectance of electromagnetic radiation (590nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP15`	Remote sensing reflectance of electromagnetic radiation (620nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP16`	Remote sensing reflectance of electromagnetic radiation (640nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP17`	Remote sensing reflectance of electromagnetic radiation (645nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP18`	Remote sensing reflectance of electromagnetic radiation (665nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP19`	Remote sensing reflectance of electromagnetic radiation (667nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP20`	Remote sensing reflectance of electromagnetic radiation (671nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP21`	Remote sensing reflectance of electromagnetic radiation (673nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP22`	Remote sensing reflectance of electromagnetic radiation (678nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP23`	Remote sensing reflectance of electromagnetic radiation (681nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP24`	Remote sensing reflectance of electromagnetic radiation (709nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP25`	Remote sensing reflectance of electromagnetic radiation (745nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP26`	Remote sensing reflectance of electromagnetic radiation (748nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP27`	Remote sensing reflectance of electromagnetic radiation (754nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP28`	Remote sensing reflectance of electromagnetic radiation (761nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP29`	Remote sensing reflectance of electromagnetic radiation (764nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP30`	Remote sensing reflectance of electromagnetic radiation (767nm wavelength) {Rrs} from the water body by model prediction
	`P01:RRSWMP31`	Remote sensing reflectance of electromagnetic radiation (778nm wavelength) {Rrs} from the water body by model prediction
	`P01:OXYSPMOD`	Saturation of oxygen {O2 CAS 7782-44-7} in the sediment pore water [dissolved plus reactive particulate phase] by model prediction
	`P01:DOXYMOD1`	Saturation of oxygen {O2 CAS 7782-44-7} in the water body [dissolved plus reactive particulate phase] by model prediction
	`P01:ARGTMODS`	Saturation state of aragonite {CAS 14791-73-2} in the sediment pore water by model prediction
	`P01:ARGTMOD1`	Saturation state of aragonite {CAS 14791-73-2} in the water body by model prediction
	`P01:WIND10SP`	Speed of wind (at 10 metres) {wind speed} in the atmosphere by model prediction
	`P01:ASLVMP01`	Surface elevation relative to Mean Sea Level datum of the water body by model prediction
	`P01:TEMPMP01`	Temperature of the water body by model prediction
	`P01:ALKYMP02`	Total alkalinity per unit volume of the sediment pore water by model prediction
	`P01:ALKYMP01`	Total alkalinity per unit volume of the water body by model prediction
	`P01:LRZAMP01`	Upward velocity of water current in the water body by model prediction
	`P01:WINDXMOD`	Velocity along x-axis of wind (at 10 metres) in the atmosphere by model prediction
	`P01:WINDYMOD`	Velocity along y-axis of wind (at 10 metres) in the atmosphere by model prediction
	`P01:HTWBMP01`	Vertical attenuation of heat per unit length of the water body by model prediction
	`P01:HTWSMP01`	Vertical attenuation of heat per unit length of the wet sediment by model prediction

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