Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather Prediction
Following several years of experimentation with the GPS radio occultation technique, the 6-satellite FORMOSAT-3/COSMIC (F3C) mission was launched mid-2006 and has been collecting data since then. In this paper we present early findings of research performed at Météo-France regarding the use of these...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2009-01-01
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| Series: | Terrestrial, Atmospheric and Oceanic Sciences |
| Subjects: | |
| Online Access: |
http://tao.cgu.org.tw/images/attachments/v201p101.pdf
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| _version_ | 1811292182472032256 |
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| author | Paul Poli Patrick Moll Dominique Puech Florence Rabier Sean B. Healy |
| author_facet | Paul Poli Patrick Moll Dominique Puech Florence Rabier Sean B. Healy |
| author_sort | Paul Poli |
| collection | DOAJ |
| description | Following several years of experimentation with the GPS radio occultation technique, the 6-satellite FORMOSAT-3/COSMIC (F3C) mission was launched mid-2006 and has been collecting data since then. In this paper we present early findings of research performed at Météo-France regarding the use of these data for assimilation in numerical weather prediction. Benefiting from the dense global coverage allowed by F3C refraction-induced observations, we first assess the quality of these data at four levels: bending angle, refractivity, refractivity lapse rate, and temperature.We compare them with calculations from Météo-France numerical weather forecasts. Learning from these various levels of data we devise quality control procedures that rely on the refractivity lapse rate. Applying a recent methodology developed in data assimilation we calculate observation bending angle error variances for our assimilation system. Using these new quality control procedures and observation error estimates we run an assimilation and forecast experiment with Météo-Frances operational global 4DVAR data assimilation system used as a reference. Our results indicate a very clear positive impact of the assimilation of F3C bending angle data in the Southern hemisphere for the prediction of geopotential heights and winds. We also observe an improvement in wind forecast skill in the Northern hemisphere, albeit such an improvement is smaller than in the Southern hemisphere. |
| first_indexed | 2024-04-13T04:41:38Z |
| format | Article |
| id | doaj.art-89d85dc13e70459ab724a0283b97d19d |
| institution | Directory Open Access Journal |
| issn | 1017-0839 2311-7680 |
| language | English |
| last_indexed | 2024-04-13T04:41:38Z |
| publishDate | 2009-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Terrestrial, Atmospheric and Oceanic Sciences |
| spelling | doaj.art-89d85dc13e70459ab724a0283b97d19d2022-12-22T03:01:59ZengSpringerTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802009-01-0120110110.3319/TAO.2008.01.21.02(F3C)817Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather PredictionPaul PoliPatrick MollDominique PuechFlorence RabierSean B. HealyFollowing several years of experimentation with the GPS radio occultation technique, the 6-satellite FORMOSAT-3/COSMIC (F3C) mission was launched mid-2006 and has been collecting data since then. In this paper we present early findings of research performed at Météo-France regarding the use of these data for assimilation in numerical weather prediction. Benefiting from the dense global coverage allowed by F3C refraction-induced observations, we first assess the quality of these data at four levels: bending angle, refractivity, refractivity lapse rate, and temperature.We compare them with calculations from Météo-France numerical weather forecasts. Learning from these various levels of data we devise quality control procedures that rely on the refractivity lapse rate. Applying a recent methodology developed in data assimilation we calculate observation bending angle error variances for our assimilation system. Using these new quality control procedures and observation error estimates we run an assimilation and forecast experiment with Météo-Frances operational global 4DVAR data assimilation system used as a reference. Our results indicate a very clear positive impact of the assimilation of F3C bending angle data in the Southern hemisphere for the prediction of geopotential heights and winds. We also observe an improvement in wind forecast skill in the Northern hemisphere, albeit such an improvement is smaller than in the Southern hemisphere. http://tao.cgu.org.tw/images/attachments/v201p101.pdf Data assimilationGPS radio occultationObservation errorsRefractivity lapse rateQuality controlMonitoring |
| spellingShingle | Paul Poli Patrick Moll Dominique Puech Florence Rabier Sean B. Healy Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather Prediction Terrestrial, Atmospheric and Oceanic Sciences Data assimilation GPS radio occultation Observation errors Refractivity lapse rate Quality control Monitoring |
| title | Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather Prediction |
| title_full | Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather Prediction |
| title_fullStr | Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather Prediction |
| title_full_unstemmed | Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather Prediction |
| title_short | Quality Control, Error Analysis, and Impact Assessment of FORMOSAT-3/COSMIC in Numerical Weather Prediction |
| title_sort | quality control error analysis and impact assessment of formosat 3 cosmic in numerical weather prediction |
| topic | Data assimilation GPS radio occultation Observation errors Refractivity lapse rate Quality control Monitoring |
| url |
http://tao.cgu.org.tw/images/attachments/v201p101.pdf
|
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