EMD-WRF On-Demand and Custom-Area: Difference between revisions
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! Dataset | ! Dataset | ||
! First date | ! First date | ||
! | ! Most recent date | ||
|- | |- | ||
|EMD-WRF OD (ERA5) | |EMD-WRF OD (ERA5) - gaussian grid forcing data | ||
|1999.01.01 | |1999.01.01 | ||
| | |7-10 days from end of last month | ||
|- | |- | ||
|EMD-WRF OD (ERA5T) | |EMD-WRF OD (ERA5T) - rectangular grid forcing data | ||
|2010.01.01 | |2010.01.01 | ||
|7-10 days from end of last month | |7-10 days from end of last month | ||
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|EMD-WRF OD (CFSR/CFS) | |EMD-WRF OD (CFSR/CFS) | ||
|1994.01.01 | |1994.01.01 | ||
|1-2 days from | |1-2 days from end of last month | ||
|- | |- | ||
|EMD-WRF OD (ERA-Interim) | |EMD-WRF OD (ERA-Interim) | ||
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|2019.08.31 | |2019.08.31 | ||
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'''ERA5(T) and ERA5 as forcing data in the EMD-WRF OD model'''<br> | |||
During early December 2019, ECMWF released the ERA5(T) dataset. ERA5(T) is preliminary ERA5 data, but updated with a shorter five calender day delay. From summer 2022, ECMWF did make the ERA5(T) data available for the native, reduced Gaussian grid. This is a major improvement over the previous release schedule (before summer 2022), where the ERA5 Gaussian grid data came with a 2-3 month delay/lag due to ECMWF releases. Read more about ERA5 and ERA5T on our [[ERA5(T)_Rectangular_Grid|ERA5(T) Rectangular Grid]] dataset-page. The EMD-WRF OD services now uses both ERA5 (final) and ERA5(T) data, see more on the update schedule above. | |||
== Set of Standard Dataset Parameters == | == Set of Standard Dataset Parameters == | ||
Latest revision as of 12:59, 27 October 2022
Introduction
This pages holds the list of parameters available for datasets originating from the EMD-WRF On-Demand Services - either as a time-series product or as a custom-area run from a user-defined area.
You can find more information about the services at the following links:
- Time-Series - On-Demand - for 'virtual met-masts'
- Spatial Areas - On-Demand - for time-series within a larger domain and spatial climatic data
There is also a webinar describing the content of the different EMD-Mesoscale Services - it is accessible from the EMD-Youtube Channel:
How to Order?
To get pointwise-timeseries data, you need meso-credits (one credit is worth one month of data). Credits can be ordered here:
- Time-Series: http://www.emd.dk/windpro/online-ordering/
To get meso-data for your own user-defined area, please select the area within the 'ordering' section of windPROSPECTING, then we will send you a quote:
- Spatial Data (along with time series): http://www.windprospecting.com/
Note:
In order to access windPROSPECTING, use either windPRO (from the 'Data' drop-down-menu) or make a 'demo'-user. You are also very welcome to contact our sales department on email: sales@emd.dk.
Data Availability
All EMD-WRF On-Demand data-services are available with global spatial coverage. The temporal availability and update frequency depends on a number of factors such as availability from the boundary data providers, bandwidth and download times, as well as availability on EMD high-performance computing and storage systems. The table below on outlines the availability of the different data-services.
| Dataset | First date | Most recent date |
|---|---|---|
| EMD-WRF OD (ERA5) - gaussian grid forcing data | 1999.01.01 | 7-10 days from end of last month |
| EMD-WRF OD (ERA5T) - rectangular grid forcing data | 2010.01.01 | 7-10 days from end of last month |
| EMD-WRF OD (CFSR/CFS) | 1994.01.01 | 1-2 days from end of last month |
| EMD-WRF OD (ERA-Interim) | 1979.01.01 | 2019.08.31 |
| EMD-WRF OD (MERRA2) | 1979.01.01 | 2019.08.31 |
ERA5(T) and ERA5 as forcing data in the EMD-WRF OD model
During early December 2019, ECMWF released the ERA5(T) dataset. ERA5(T) is preliminary ERA5 data, but updated with a shorter five calender day delay. From summer 2022, ECMWF did make the ERA5(T) data available for the native, reduced Gaussian grid. This is a major improvement over the previous release schedule (before summer 2022), where the ERA5 Gaussian grid data came with a 2-3 month delay/lag due to ECMWF releases. Read more about ERA5 and ERA5T on our ERA5(T) Rectangular Grid dataset-page. The EMD-WRF OD services now uses both ERA5 (final) and ERA5(T) data, see more on the update schedule above.
Set of Standard Dataset Parameters
A large quantity of useful parameters are available directly in WindPRO to aid in your analysis.
The different parameters in each On-Demand dataset is shown in the list below.
| Parameter | Unit | Description | Type |
|---|---|---|---|
| time | UTC time stamp | ||
| psfc | Pa | Pressure at site | Instantaneous |
| msl | Pa | Pressure at mean sea level | Instantaneous |
| wSpeed.x | m/s | Wind speeds at different physical levels (x). Heights for EMD-WRF OD (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m Heights for EMD-WRF Custom Area (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m, 300m, 400m, 500m, 600m, 1000m, 4000m |
Instantaneous |
| wDir.x | deg | Wind speeds at different physical levels (x). Heights for EMD-WRF OD (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m Heights for EMD-WRF Custom Area (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m, 300m, 400m, 500m, 600m, 1000m, 4000m |
Instantaneous |
| wSpeed.0-30mb | m/s | Wind speeds at pressure level 0-30mb. | Instantaneous |
| wDir.0-30mb | deg | Wind speeds at pressure levels 0-30mb. | Instantaneous |
| wSpeed.850hpa | m/s | Wind speeds at pressure level 850hPa. | Instantaneous |
| wDir.850hpa | deg | Wind speeds at pressure levels 850hPa. | Instantaneous |
| temperature.x | celcius | Temperatures at different heights (x) Heights (x): 2m and 100m |
Instantaneous |
| waterTemp | celcius | Water temperature | Instantaneous |
| soilTemp.0-10cm | celcius | The temperature in the upper 10 cm of the soil | Instantaneous |
| relHumidity.2 | % | Relative humidity in height 2m above ground level | Instantaneous |
| snowDepth | m | Snow depth (if present) | Instantaneous |
| vis.s | m | Visibility at surface | Instantaneous |
| sensHeatFlux.s | w/m2 | Sensible Heat Flux at surface | Instantaneous |
| totPrecip.s | kg/m^2 | Total Precipitation at surface | 1h Accumulated |
| downShortWaveFlux.s | w/m2 | Downward shortwave irradiance at surface | 1h Average |
| totalCloudCover.a | % | Total cloud cover in atmosphere | 1h Average |
| convCloudCover.a | % | Convective cloud cover in atmosphere | 1h Average |
| Data below this line are not shown in a default import of EMD-WRF On-Demand data, but can be made available by clicking on the "+" button in the lower left corner of the import table. | |||
| 4LFTX | K | N/A | |
| rmol | 1/m | Inverse Monin-Obukhov-Length [1] | |
| znt | m | Rougnhess length | |
| sqrtTKE.x | m/s | Wind speed given as standard deviation in m/s. Derived from the turbulent kinetic energy (TKE). Results available in different physical levels. Heights (x): 10m, 25m, 50m, 75m, 100m, 150m, 200m |
Instantaneous |
| cloudWater.100 | mg/kg | Parameter intended for estimating probability of icing.[2] | Instantaneous |
| cloudIce.100 | mg/kg | Parameter intended for estimating probability of icing.[2] | Instantaneous |
Attribution
If data from this data-service is used within any private or public disseminations, then EMD and its data providers must be acknowledged.
Source: EMD-WRF On-Demand and Custom-Area - Copyright (C) - EMD International A/S, 2019. Distribution through EMD and windPRO. This service relies on the following data-providers: ERA5/ERA5T: Which is being developed through the Copernicus Climate Change Service (C3S) with data processing and distribution for ERA5/ERA5T is carried out by ECMWF. ERA-Interim: Is being developed through the European Centre for Medium-Range Weather Forecasts (ECMWF). MERRA-2: The Global Modeling and Assimilation Office of NASA (GMAO) for the MERRA-analysis and the GES DISC for the dissemination of MERRA. CFS/CFSR: NOAA / National Centers for Environmental Prediction (NCEP)
Footnotes
- ↑ It is still being investigated whether this inverse Monin-Obukhov-Length can be used for stability clasification.
- ↑ 2.0 2.1 CloudWater and cloudIcing values are extracted directly from the WRF meso-scale model and are normal output parameters of the same run as the other parameters (wind, temperature etc.). They are controlled by the WRF microphysics scheme for which Ferrier was used. For further information, please access the numerous internet resources about WRF use. EMD has not done any validation on the parameters, so they are provided as is.