Difference between revisions of "Meteorological data from ECMWF models"

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(Data acquisition from ECMWF)
(Decoding and extraction of GRIB data)
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|MSL || Sea level pressure || SLP || Sea level pressure
 
|MSL || Sea level pressure || SLP || Sea level pressure
 
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|SD || Snow depth || SD || Snow depth
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|SD || Snow depth || SD || Snow depth water equivalent
 +
|-
 +
|RSN || Snow density || RSN || Snow density
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|-
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|SH || Snow height || SH || Snow height (thickness of snow layer)
 
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|TCC || Cloud cover || Cloud || Total cloud cover
 
|TCC || Cloud cover || Cloud || Total cloud cover
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|MN2T24|| Minimum temperature || Tmin || Minimum temperature at 2m (in the past 24 hours)
 
|MN2T24|| Minimum temperature || Tmin || Minimum temperature at 2m (in the past 24 hours)
 
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|SSRD|| Global radiation || Rg || Surface solar radiation downwards
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|SSRD|| Global radiation || Rg || Surface solar radiation downwards (accumulated during forecast period)
 
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|SunD|| || || Sunshine duration
 
|SunD|| || || Sunshine duration
 
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|TP|| Precipitation || Rain || Total precipitation
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|TP|| Precipitation || Rain || Total precipitation (accumulated during forecast period)
 
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|GH|| Height || H500/H850 || Geopotential height
 
|GH|| Height || H500/H850 || Geopotential height

Revision as of 18:59, 19 October 2013



General description

The ECMWF is one of the world's leading numerical modeling centres. It operates various global circulation models in various forecast depths. To evaluate the initial state of the atmosphere the models integrate observations from ground stations, radiosondes, satellites and many other sources. Special techniques bring these observations in balance with the meteorological equations to form a physically valid state of the atmosphere.

In order to extend the period of analysis and to better perform the crop monitoring and yield forecasting, weather forecasts are integrated in the MCYFS. These data permit to have important information on the evolution of the main meteorological phenomena at mesoscale.

The ECMWF's assimilation data is used to produce meteorological and derived agro-meteorological parameters that are visualized in dynamic maps and graphs by the marsop3 viewer and static maps (quick-looks). Data from the ECMWF's Ensemble Prediction System (EPS), Monthly forecast model (MON) and Seasonal forecast model (SEA) have multiple forecast result. Small perturbations of the initial state are used to produce respectively 51, 50 and 50 different model runs.

Before ECMWF forecasted weather data can be ingested in the MCYFS, the data have to be preprocessed in order to get the appropriate resolutions in time and space.

preprocessing of ECMWF data

Data acquisition from ECMWF

The data is delivered by ECMWF in FM-92 GRIB format which is specified in WMO Publication 306 Manual on Codes. For the “Global Window” land and sea points are received. Filtering on land points takes place during decoding from GRIB format.

6 products of the ECMWF are ingested into the MCYFS:

Model Abbreviation Number of forecast days Members Gaussian grid* Horizontal model resolution* Acquired resolution** Delivery
ERA-Interim**** ERA 1 1 N128 ~80km 0.75° x 0.75° Once
Analysis model HIS 1 1 N640 ~16km 0.25° x 0.25° Daily (10.30 hr)
Deterministic forecast model OPE 10 1 N640 ~16km 0.25° x 0.25° Daily (12.00 hr)
Ensemble Prediction System EPS 15 51 N320 / N160*** ~30km / ~60km*** 0.5° x 0.5° Daily (14.00 hr)
Monthly forecast model MON 32 50 N320 / N160*** ~30km / ~60km*** 0.5° x 0.5° Every Friday (03.00 hr)
Seasonal forecast model SEA 183 50 N128 ~80km 1.5° x 1.5° / from 08/2013 onwards 0.75° x 0.75° Every 8th of the month (14.00 hr)

* resolution in which the model simulates the weather indicators. The points for which the indicators are simulated are distributed over the earth using a Reduced Gaussian grid. Grid names start with 'N' followed by number of lines by which latitude is divided.
** resolution in which the simulated indicators are acquired and loaded into the MCYFS. The simulated indicators are distributed over the earth using a WGS84 coordinate system.
*** The first 10 days are simulated on a N320 grid (~30km horizontal resolution). The remaining days on a N160 grid (~60km horizontal resolution).
**** In more detail: ECWMF runs ERA-Interim on IFS Version Cy31r1

ERA-Interim is only used as archive containing daily data covering the period 1989-2010. From the HIS model only the forecast for the current day is processed (number of forecast days = 1) as best estimator for weather indicators of that day. The HIS data are stored as extension of the ERA_Interim archive. The data of other models are replaced when a more recent data set becomes available (OPE, EPS, MON and SEA). Therefore only the ERA-Interim, extended with HIS data is used to calculate climatolgy.

For the OPE and EPS models the ECMWF model is run twice per day based on 00 and 12 UTC observations. As the delivery needs to take place until 15.00 hours of each day in standard situation the 00 UTC model run can be used. Sometimes, the model production is delayed so that a fallback to 12 UTC model data of the previous day will be taken into account.

Decoding and extraction of GRIB data

For the processing of the data it is needed to decode the data delivered in GRIB format. In previous years the program ‘wgrib’ has been used which is capable of extracting GRIB content into ASCII files for further processing. Recently ECMWF has released version 1.2.0 of their GRIB API which is the successor of GRIBEX. While GRIBEX was used within FORTRAN programs the new GRIB API is designed for programs written in the C programming language.

During decoding additional indicators required by JRC and partners are calculated. This include aggregation to daily data, calculation of derived indicators and calculation of extreme weather events.

Aggregation to daily data

First of all an aggregation of 3-, 6- and 12-hourly data to daily data calculated. Algorithms for this have been developed within ASEMARS project and are different for the different ECMWF models. The algorithms are presented in the box below.


Calculation of advanced parameters

Not all indicators can be retrieved directly from the models. These include:

  • Evapotranspiration
  • Transpiration of water surface
  • Transpiration of wet bare soil
  • Climate water balance
  • Vapour pressure

Evapotranspiration

In general, the evapotranspiration from a reference surface, the so-called reference crop evapotranspiration or reference evapotranspiration can be described by the FAO‑Penman-Monteith (Allen et all., 1998).

Evapotranspiration from a wet bare soil surface (ES0) and from a crop canopy (ET0) is calculated with the well-known Penman formula (Penman, 1948). In general, the evapotranspiration from a water surface can be described by the Penman formula. Only the albedo and surface roughness differs for these two types of evapotranspiration as explained below.

The net absorbed radiation depends on incoming global radiation, net outgoing long-wave radiation, the latent heat and the reflection coefficient of the considered surface (albedo). For ET0, ES0, and ET0 albedo values of 0.05, 0.15 and 0.20 are used respectively. The evaporative demand is determined by humidity, wind speed and surface roughness. For a free water surface and for the wet bare soil (E0, ES0) a surface roughness value of 0.5 is used. For a more detailed description of the underlying formulae we refer to Supit et al. (1994) and van der Goot (1997).

Climatic water balance

Climatic water balance is calculated based on evapotranspiration calculated through the equation of Penman-Monteith and the total precipitation of a day.


Calculation of extreme weather events

For the static map production over Europe it is necessary to derive additional parameters out of the raw data set. This especially concerns probabilities and aggregated counts of number of days where a special condition is met. Some of the probabilities to be mapped are available directly from ECMWF. Other probabilities need to be derived from individual ensemble runs. In this case it is checked for how many of the ensemble members a certain condition applies (e.g. TempMin < 0°C). The probability of the event is the fraction of ensemble members forecasting it against the total number of ensemble members. The operational run and the ensemble control run are treated like any other ensemble member.


Aggregation to 10-daily and monthly data

After each 10-day period and at the end of each month aggregation for this 10-day/month period takes place. The daily data are aggregated from days to dekads by taking the average of mean temperature, maximum temperature, minimum temperature, snow depth and the sum of precipitation, ET0 and global radiation. For the 10-daily/monthly processing it is necessary to add another aggregation level to produce 10-daily/monthly sums and averages and to count the number of occurrences of certain events (such as frost, hot or rainy days).

Extraction of data into files and maps

Static map of maximum temperature on 7-feb-2011 with a spring breeze in Central and Western Europe.
Animated Rainfall, emitted 20-dec-2010 with the forecasted precipitation of low "Petra". Petra's snow masses retarded travel in many regions of Europe before Christmas 2010. Large animation

The ECMWF models run on gaussian grids with different resolutions. The central MCYFS database however requires the initial data in a grid resolution with regular latitudes and longitudes. Therefore a conversion is needed. After conversion the data are exported as data files and static maps that can be distributed to users and other MCYFS processes.

The data files are loaded in the tables ECMWF_<MODEL>_DATA where <MODEL> is to be replaced by the abbreviation of one of the six ECMWF products (ERA, HIS, OPE, EPS, MON or SEA). These data are later to be used to create dynamic maps and graphs in the Marsop3 viewers.

The static maps are exported as flat images or animated images with full layout and directly made available to analysts that use them during analysis of weather indicators. The geographic extent of the static maps is defined by the upper-left corner at 75° North/25° West and the lower-right corner 20° North/70° East. This production line includes GrADS mapping software which is able to create maps directly from GRIB files. For the weekly and monthly maps the absolute difference to long-term average values are calculated.

OPE & HIS

The Deterministic forecast model and Analysis model produce forecast weather for grid cells on a Gaussian N640 reduced grid (~16x~16km). The resolution is converted to a Gaussian N400 reduced grid (~25x~25km) and after this to a regular 0.25 x 0.25 degrees latitude longitude grid. In the near future a direct conversion from Gaussian N640 to the regular latitude, longitude grid is planned.

Black dots: Gaussian N640 reduced grid (~16x~16km) to regular 0.25 x 0.25 degrees latitude longitude. Gray lines: 25x25km climate grid.

EPS & MON

The first 10 forecast days (Leg A) of the Ensemble Prediction System and Monthly forecast are modelled for grid cells on a Gaussian N320 reduced grid (~30x~30km). First the resolution is reduced to a Gaussian N200 reduced grid (~50x~50km) and finaly to a regular 0.5 x 0.5 degrees latitude longitude grid. In the near future a direct conversion from Gaussian N320 to the regular latitude, longitude grid is planned.

Black dots: Gaussian N320 reduced grid (~30x~30km) to regular 0.5 x 0.5 degrees latitude longitude. Gray lines: 25x25km climate grid.

After the first 10 day, the resolution of the models for the remaining forecast days (LegB/C) is reduced to a Gaussian N160 reduced grid (~60x~60km). The results are directly converted into a regular 0.5 x 0.5 degrees latitude longitude grid.

Black dots: Gaussian N160 reduced grid (~60x~60km) to regular 0.5 x 0.5 degrees latitude longitude. Gray lines: 25x25km climate grid.

SEA

All forecast days of the Seasonal forecast are calculated for a Gaussian N128 reduced grid (~80x~80km). First the resolution is reduced to a Gaussian N80 reduced grid (~150x~150km) and finaly to a regular 1.5 x 1.5 degrees latitude longitude grid.
File:Gaussian grid n80 reduced.jpg
Black dots: Gaussian N80 reduced grid (~150~150m) to regular 1.5 x 1.5 degrees latitude longitude. Gray lines: 25x25km climate grid.