Global Environmental Multiscale Model: Difference between revisions
JMyrleFuller (talk | contribs) licensing |
Consistency: Capitalize first letter of acronyms |
||
(23 intermediate revisions by 11 users not shown) | |||
Line 1: | Line 1: | ||
{{ |
{{Refimprove|date=February 2019}} |
||
The '''Global Environmental Multiscale Model''' ('''GEM''') is an integrated forecasting and [[data assimilation]] system developed in the [[Recherche en Prévision Numérique]] (RPN), [[Meteorological Research Branch]] (MRB), and the [[Canadian Meteorological Centre]] (CMC). Along with the [[National Weather Service|NWS |
The '''Global Environmental Multiscale Model''' ('''GEM'''), often known as the CMC model in North America, is an integrated forecasting and [[data assimilation]] system developed in the [[Recherche en Prévision Numérique]] (RPN), [[Meteorological Research Branch]] (MRB), and the [[Canadian Meteorological Centre]] (CMC). Along with the [[National Weather Service|NWS]]'s [[Global Forecast System]] (GFS), which runs out to 16 days, the [[European Centre for Medium-Range Weather Forecasts|ECMWF]]'s [[Integrated Forecast System]] (IFS), which runs out 10 days, the Naval Research Laboratory [[Navy Global Environmental Model]] (NAVGEM), which runs out eight days, the UK [[Met Office]]'s [[Unified Model]], which runs out to seven days, and [[Deutscher Wetterdienst]]'s ICON (ICOsahedral Nonhydrostatic), which runs out to 7.5 days, it is one of the global medium-range models in general use.{{cn|date=July 2022}} |
||
== Operation == |
|||
⚫ | The GEM model is currently operational for the global data assimilation cycle and medium-range forecasting, the regional data assimilation spin-up cycle and short-range forecasting. |
||
=== Deterministic model === |
|||
⚫ | The GEM's operational model, known as the '''Global Deterministic Prediction System''' (GDPS), is currently operational for the global data assimilation cycle and medium-range forecasting, the regional data assimilation spin-up cycle and short-range forecasting. Mesoscale forecasts (distributed under the names ''regional deterministic prediction system'' or RDPS for the coarser mesh, available for all of North America and ''high-resolution deterministic prediction system'' or HRDPS for the finer mesh, available in Canada only) are produced overnight and are available to the operational forecasters. A growing number of [[Meteorology|meteorological]] applications are now either based on or use the GEM model. Output from the GEM goes out to 10 days, on par with the public output of the European [[Integrated Forecast System]]. |
||
=== Ensemble model === |
|||
The ensemble variant of the GEM is known as the '''Global Ensemble Prediction System''' (GEPS). It has 20 members (plus [[scientific control|control]]) and runs out 16 days, the same range as the American [[global forecast system]]. The GEPS runs alongside the GFS ensemble to form the [[North American Ensemble Forecast System]]. A regional ensemble prediction system (REPS), covering North America and also having 20 members plus control, runs out 72 hours. |
|||
== Development == |
|||
The GEM model has been developed to meet the operational [[weather forecasting]] needs of [[Canada]] for the coming years. These presently include short-range regional forecasting, medium-range global forecasting, and data assimilation. In the future they will include nowcasting at the meso-scales, and dynamic extended-range forecasting on monthly to seasonal timescales. The essence of the approach is to develop a single highly efficient model that can be reconfigured at run time to either run globally at uniform-resolution (with possibly degraded resolution in the "other" hemisphere), or to run with variable resolution over a global domain such that high resolution is focused over an area of interest. |
The GEM model has been developed to meet the operational [[weather forecasting]] needs of [[Canada]] for the coming years. These presently include short-range regional forecasting, medium-range global forecasting, and data assimilation. In the future they will include nowcasting at the meso-scales, and dynamic extended-range forecasting on monthly to seasonal timescales. The essence of the approach is to develop a single highly efficient model that can be reconfigured at run time to either run globally at uniform-resolution (with possibly degraded resolution in the "other" hemisphere), or to run with variable resolution over a global domain such that high resolution is focused over an area of interest. |
||
=== Mechanics === |
|||
The operational GEM model dynamics is formulated in terms of the [[Primitive equations#Vertical pressure.2C Cartesian tangential plane|hydrostatic primitive equations]] with a terrain following [[Pressure level|pressure vertical coordinate]] (h). The time [[discretization]] is an implicit two-time-level [[semi-Lagrangian scheme]]. The spatial [[discretization]] is a [[Galerkin method#Galerkin_discretization|Galerkin grid-point formulation]] on an [[Arakawa C-grid]] in the horizontal (lat-lon) and an unstaggered vertical [[discretization]]. The horizontal mesh can be of uniform or variable resolution, and furthermore can be arbitrarily rotated, the vertical mesh is also variable. The explicit horizontal diffusion is -2 on all prognostic variables. |
The operational GEM model dynamics is formulated in terms of the [[Primitive equations#Vertical pressure.2C Cartesian tangential plane|hydrostatic primitive equations]] with a terrain following [[Pressure level|pressure vertical coordinate]] (h). The time [[discretization]] is an implicit two-time-level [[semi-Lagrangian scheme]]. The spatial [[discretization]] is a [[Galerkin method#Galerkin_discretization|Galerkin grid-point formulation]] on an [[Arakawa C-grid]] in the horizontal (lat-lon) and an unstaggered vertical [[discretization]]. The horizontal mesh can be of uniform or variable resolution, and furthermore can be arbitrarily rotated, the vertical mesh is also variable. The explicit horizontal diffusion is -2 on all prognostic variables. |
||
The operational GEM model is interfaced with a full complement of physical parametrizations, these currently include: |
The operational GEM model is interfaced with a full complement of physical parametrizations, these currently include: |
||
* [[Solar radiation|solar and infrared radiation]] interactive with [[water vapor]], [[carbon dioxide]], [[ozone]] and [[clouds]], |
* [[Solar radiation|solar and infrared radiation]] interactive with [[water vapor]], [[carbon dioxide]], [[ozone]] and [[clouds]], |
||
* prediction of [[surface temperature]] over land with the force-restore method, |
* prediction of [[Surface air temperature|surface temperature]] over land with the force-restore method, |
||
* [[turbulence]] in the [[planetary boundary layer]] through vertical diffusion, diffusion coefficients based on stability and [[Turbulent Kinetic Energy|turbulent kinetic energy]], |
* [[turbulence]] in the [[planetary boundary layer]] through vertical diffusion, diffusion coefficients based on stability and [[Turbulent Kinetic Energy|turbulent kinetic energy]], |
||
* surface layer based on [[ |
* surface layer based on [[Monin–Obukhov length|Monin–Obukhov]] similarity theory, |
||
* shallow convection scheme (non precipitating), |
* shallow convection scheme (non precipitating), |
||
* Kuo-type deep convection scheme (global forecast system), |
* Kuo-type deep convection scheme (global forecast system), |
||
* |
* Fritsch–Chappell type deep convection scheme (regional forecast system), |
||
* Sundqvist condensation scheme for stratiform precipitation, |
* Sundqvist condensation scheme for stratiform precipitation, |
||
* [[ |
* [[Gravity wave]] drag. |
||
=== Future === |
|||
The next stage of development of the GEM model is to evaluate the non-hydrostatic version for mesoscale applications where the hydrostatic assumption breaks down. The limited-area (open-boundary) version is scheduled to follow. The distributed memory version of GEM is almost completed, it is a major recoding effort that is based upon a locally developed communication interface currently using [[Message Passing Interface]]. Research on the performance of different land surface schemes such as ISBA ([[Interaction Soil-Biosphere-Atmosphere]]) and CLASS ([[Canadian Land Surface Scheme]]) is making progress. |
The next stage of development of the GEM model is to evaluate the non-hydrostatic version for mesoscale applications where the hydrostatic assumption breaks down. The limited-area (open-boundary) version is scheduled to follow. The distributed memory version of GEM is almost completed,{{when|date=December 2023}} it is a major recoding effort that is based upon a locally developed communication interface currently using [[Message Passing Interface]]. Research on the performance of different land surface schemes such as ISBA ([[Interaction Soil-Biosphere-Atmosphere]]) and CLASS ([[Canadian Land Surface Scheme]]) is making progress.{{when|date=December 2023}} |
||
The strategy is progressing towards a unified data assimilation and forecast system, at the heart of which lies a single multipurpose and multiscale numerical model. |
The strategy is progressing towards a unified data assimilation and forecast system, at the heart of which lies a single multipurpose and multiscale numerical model. |
||
== Usage == |
|||
Output from Canadian forecast models such as the GEM is under Canadian [[crown copyright]] but is issued under a [[MIT License|free license if properly attributed]] to Environment Canada. |
Output from Canadian forecast models such as the GEM is under Canadian [[crown copyright]] but is issued under a [[MIT License|free license if properly attributed]] to Environment Canada.<ref>{{cite web |
||
|url=https://dd.weather.gc.ca/doc/LICENCE_GENERAL.txt |
|||
|title=Environment and Climate Change Canada Data Server End-use Licence |
|||
|date=September 2017 |
|||
|website=Environment and Climate Change Canada |
|||
|access-date=June 19, 2021}}</ref> Various unofficial sites thus redistribute GEM data, including the GDPS and GEPS. |
|||
== See also == |
== See also == |
||
* [[Global climate model]] |
* [[Global climate model]] |
||
== References == |
|||
{{reflist}} |
|||
== External links == |
== External links == |
||
* {{Official website|http://collaboration.cmc.ec.gc.ca/science/rpn/gef_html_public/index.html| |
* {{Official website|http://collaboration.cmc.ec.gc.ca/science/rpn/gef_html_public/index.html|ECCC GEM official website}} |
||
* [http://collaboration.cmc.ec.gc.ca/science/rpn/gem/gemdm/gemdm.html Introduction to GEMDM, |
** [http://collaboration.cmc.ec.gc.ca/science/rpn/gem/gemdm/gemdm.html Introduction to GEMDM, distributed memory version of the GEM] |
||
* ECCC MSC AniMet tool to [https://eccc-msc.github.io/msc-animet/?layers=GDPS.ETA_RT;0.75;1;1;0&extent=-23717480,-438089,5811428,12524558&width=1139&height=500 visualize and animate GEM outputs] |
|||
* [http://www.ventusky.com/?l=temperature&m=gem GEM - Weather Forecast] |
* [http://www.ventusky.com/?l=temperature&m=gem Ventusky GEM - Weather Forecast Visualisation] |
||
* Model output from the [[Université du Québec à Montréal|University of Quebec at Montreal]]: |
|||
** [http://meteocentre.com/numerical-weather-prediction/forecast-systems.php?lang=en&map=na&mod=gemglb GDPS] |
|||
** [http://meteocentre.com/numerical-weather-prediction/forecast-systems.php?mod=gemreg&map=na&lang=en RDPS] |
|||
** [http://meteocentre.com/numerical-weather-prediction/forecast-systems.php?mod=cmc_hrdps&map=qc&run=12&lang=en HRDPS] |
|||
** [http://meteocentre.com/numerical-weather-prediction/forecast-systems.php?lang=en&map=na&mod=cmc_reps REPS individual ensemble members] |
|||
** [http://meteocentre.com/numerical-weather-prediction/forecast-systems.php?mod=cmc_geps&map=na&run=12&lang=en GEPS individual ensemble members, out 10 days] |
|||
* [http://www.tropicaltidbits.com/analysis/models/?model=gem-ens®ion=namer GEPS mean output, out 16 days] from Tropical Tidbits |
|||
* [http://cola.gmu.edu/kpegion/subx/forecasts/forecasts.html GEPS mean output, weekly forecasts, out 4 weeks] from [[George Mason University]]'s SubX program (top right) |
|||
{{Atmospheric, Oceanographic and Climate Models}} |
{{Atmospheric, Oceanographic and Climate Models}} |
||
[[Category:Numerical climate and weather models]] |
[[Category:Numerical climate and weather models]] |
||
[[Category: |
[[Category:Meteorological Service of Canada]] |
Latest revision as of 04:32, 14 April 2024
This article needs additional citations for verification. (February 2019) |
The Global Environmental Multiscale Model (GEM), often known as the CMC model in North America, is an integrated forecasting and data assimilation system developed in the Recherche en Prévision Numérique (RPN), Meteorological Research Branch (MRB), and the Canadian Meteorological Centre (CMC). Along with the NWS's Global Forecast System (GFS), which runs out to 16 days, the ECMWF's Integrated Forecast System (IFS), which runs out 10 days, the Naval Research Laboratory Navy Global Environmental Model (NAVGEM), which runs out eight days, the UK Met Office's Unified Model, which runs out to seven days, and Deutscher Wetterdienst's ICON (ICOsahedral Nonhydrostatic), which runs out to 7.5 days, it is one of the global medium-range models in general use.[citation needed]
Operation
[edit]Deterministic model
[edit]The GEM's operational model, known as the Global Deterministic Prediction System (GDPS), is currently operational for the global data assimilation cycle and medium-range forecasting, the regional data assimilation spin-up cycle and short-range forecasting. Mesoscale forecasts (distributed under the names regional deterministic prediction system or RDPS for the coarser mesh, available for all of North America and high-resolution deterministic prediction system or HRDPS for the finer mesh, available in Canada only) are produced overnight and are available to the operational forecasters. A growing number of meteorological applications are now either based on or use the GEM model. Output from the GEM goes out to 10 days, on par with the public output of the European Integrated Forecast System.
Ensemble model
[edit]The ensemble variant of the GEM is known as the Global Ensemble Prediction System (GEPS). It has 20 members (plus control) and runs out 16 days, the same range as the American global forecast system. The GEPS runs alongside the GFS ensemble to form the North American Ensemble Forecast System. A regional ensemble prediction system (REPS), covering North America and also having 20 members plus control, runs out 72 hours.
Development
[edit]The GEM model has been developed to meet the operational weather forecasting needs of Canada for the coming years. These presently include short-range regional forecasting, medium-range global forecasting, and data assimilation. In the future they will include nowcasting at the meso-scales, and dynamic extended-range forecasting on monthly to seasonal timescales. The essence of the approach is to develop a single highly efficient model that can be reconfigured at run time to either run globally at uniform-resolution (with possibly degraded resolution in the "other" hemisphere), or to run with variable resolution over a global domain such that high resolution is focused over an area of interest.
Mechanics
[edit]The operational GEM model dynamics is formulated in terms of the hydrostatic primitive equations with a terrain following pressure vertical coordinate (h). The time discretization is an implicit two-time-level semi-Lagrangian scheme. The spatial discretization is a Galerkin grid-point formulation on an Arakawa C-grid in the horizontal (lat-lon) and an unstaggered vertical discretization. The horizontal mesh can be of uniform or variable resolution, and furthermore can be arbitrarily rotated, the vertical mesh is also variable. The explicit horizontal diffusion is -2 on all prognostic variables.
The operational GEM model is interfaced with a full complement of physical parametrizations, these currently include:
- solar and infrared radiation interactive with water vapor, carbon dioxide, ozone and clouds,
- prediction of surface temperature over land with the force-restore method,
- turbulence in the planetary boundary layer through vertical diffusion, diffusion coefficients based on stability and turbulent kinetic energy,
- surface layer based on Monin–Obukhov similarity theory,
- shallow convection scheme (non precipitating),
- Kuo-type deep convection scheme (global forecast system),
- Fritsch–Chappell type deep convection scheme (regional forecast system),
- Sundqvist condensation scheme for stratiform precipitation,
- Gravity wave drag.
Future
[edit]The next stage of development of the GEM model is to evaluate the non-hydrostatic version for mesoscale applications where the hydrostatic assumption breaks down. The limited-area (open-boundary) version is scheduled to follow. The distributed memory version of GEM is almost completed,[when?] it is a major recoding effort that is based upon a locally developed communication interface currently using Message Passing Interface. Research on the performance of different land surface schemes such as ISBA (Interaction Soil-Biosphere-Atmosphere) and CLASS (Canadian Land Surface Scheme) is making progress.[when?]
The strategy is progressing towards a unified data assimilation and forecast system, at the heart of which lies a single multipurpose and multiscale numerical model.
Usage
[edit]Output from Canadian forecast models such as the GEM is under Canadian crown copyright but is issued under a free license if properly attributed to Environment Canada.[1] Various unofficial sites thus redistribute GEM data, including the GDPS and GEPS.
See also
[edit]References
[edit]- ^ "Environment and Climate Change Canada Data Server End-use Licence". Environment and Climate Change Canada. September 2017. Retrieved June 19, 2021.
External links
[edit]- ECCC GEM official website
- ECCC MSC AniMet tool to visualize and animate GEM outputs
- Ventusky GEM - Weather Forecast Visualisation
- Model output from the University of Quebec at Montreal:
- GEPS mean output, out 16 days from Tropical Tidbits
- GEPS mean output, weekly forecasts, out 4 weeks from George Mason University's SubX program (top right)