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Table of Contents

KMA (rksl)

Wind components fields on pressure levels  (might impact ANY KMA outputs).
Info

1. Brief  description:

The data values for U/V component parameters on the pressure levels are often clearly wrong (e.g. the maximum (global) value of U component is in one case -14.4178 m/s  which is not in the allowed interval [1,250] verified by the ECMWF's checking tool). That error was acknowledged by KMA and it was tried to fix it in some forecast outputs.

2. Recommendation:

Users should consider it when using KMA wind component fields on the pressure levels.

500hPa geopotential height issue (since 29 Mar 2017)
Info
View file
nameSeoul_Z500_error.pptx
height150

1. Brief  description:

The data fields of 500 hPa geopotential since the 29 March, 2017 are wrong as per attached examples.

2. Recommendation:

Wait for fix.

JMA (rjtd)

The valid times of the maximum/minimum temperature are wrong  in the re-forecast data (impacts ALL hindcast data for the model version: 2014-03-04).
Info

1. Brief  description:

See an illustration of the impact of the acknowledged issue in this document.

The accumulated parameters except for total precipitation (tp) are wrong in the real-time and re-forecast data. Fixed 15th March 2017 in the real-time forecasts.
Info

1. Brief  description:

Periods of bugs:

  • Real-time forecasts data from JMA from 1st January 2015 to 15th March 2017
  • Full re-forecasts data for the model version: 2014-03-04

See an illustration of the impact of the acknowledged issue in this document.

Meteo-France (lfpw)

Interpolation error in ALL data between 19 May and 16 June 2016
Info

1. Brief  description:

All S2S parameters were affected in that period. The corrected data was re-archived on June 17 2016.

The problem on the provider's side was caused by a bug in the last versions of EMOS and MARS (issued in March) that was avoided by using the previous version of MARS.

2. Recommendation:

If lfpw data from the given period was downloaded in the period 19.5.2016-17.6.2016. it should be deleted and the correct version of the data downloaded again.

BoM (ammc)

Wrong maximum values of surface air maximum temperature (Tmax) at some points for BoM  data
Info

1. Brief  description:

Some coastal grid points may display unrealistic Tmax values. All of  the spurious Tmax points are flagged as being ocean points based on the POAMA*'s land-sea mask.

2. Recommendation:

To eliminate the spurious values, use Tmax  over land points only,  based on POAMA's land-sea mask .

* POAMA stands for Predictive Ocean Atmosphere Model for Australia.

Problem with sea-ice cover in BoM re-forecast data
Info

1. Brief  description:

The sea-ice cover data in the BoM re-forecasts is incorrect. The climatological evolution of sea ice in the BoM re-forecats is for 1 January through to early March (62 day re-forecasts) for all start dates. Therefore, the sea ice coverage is wrong in the S2S archive,  except for the forecasts that start on or near 1 January

2. Recommendation:

It is recommended to not download the BoM sea-ice cover re-forecast data until the correct data has been fully uploaded in the ECMWF S2S data server. There will be an announcement when the problem has been fixed.

CMA (babj)

Problem with sea-ice cover in CMA re-forecast data. Fixed 31st March 2016
Info

1. Brief  description:

The sea-ice cover data in the CMA re-forecasts was incorrect in the ECMWF S2S database prior to 31st March 2016. CMA confirmed that there was a problem in their data processing procedure which main effect was to have sea-ice values equal to 0 or 1 instead of covering the range 0 to 1.

The correct data was replaced in the ECMWF S2S database on 31st March 2016.

2. Recommendation:

For users that have downloaded CMA's sea-ice cover reforecast prior to 31st March 2016, we recommend to download it again.

Problem with initial conditions CMA real-time data in January 2015 and 2016. Fixed 24th May 2016
Info

1. Brief  description:

CMA has informed us that the real-time forecast for 2nd to 5th January 2015 and 2016 had an issue with the initial fields used. They have corrected the initial conditions and re-run those dates. We have validated the dataset and we have replaced the data in the ECMWF S2S database.

2. Recommendation:

We recommend users to download the data above again.
Snow density values 
Info

1. Brief  description:

The data values for snow density are very different to other models. According to CMA the reason is that their model produces very little amount of snow. The checked extremes of the snow density have to been relaxed because of that specifically for CMA data.

2. Recommendation:

Users should consider it when using CMA snow density data