Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation Measurements
Abstract The FORMOSAT‐7/COSMIC‐2 GNSS‐RO mission was launched on June 25, 2019, and it has provided a large increase in the number of GNSS‐RO observations available for operational numerical weather prediction (NWP) in the latitude band between ±40°. A key aim of this mission has been to improve the...
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| Format: | Article |
| Language: | English |
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Wiley
2021-03-01
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| Series: | Atmospheric Science Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/asl.1019 |
| _version_ | 1819178831560310784 |
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| author | Benjamin Ruston Sean Healy |
| author_facet | Benjamin Ruston Sean Healy |
| author_sort | Benjamin Ruston |
| collection | DOAJ |
| description | Abstract The FORMOSAT‐7/COSMIC‐2 GNSS‐RO mission was launched on June 25, 2019, and it has provided a large increase in the number of GNSS‐RO observations available for operational numerical weather prediction (NWP) in the latitude band between ±40°. A key aim of this mission has been to improve the GNSS‐RO measurement quality in the lower and middle troposphere. In this study, we summarize the impact of the FORMOSAT‐7/COSMIC‐2 measurements in two independent NWP systems, which are now assimilating these measurements operationally. These are the United States Navy Global Environmental Model (NAVGEM) and the European Center for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS). Both systems employ a 4‐dimensional variational system (4D‐Var), and assimilate GNSS‐RO bending angles. The experiments cover the period January to March 2020. The impact of the FORMOSAT‐7/COSMIC‐2 measurements is assessed using improvements in short‐range forecast departures to other observations such as radiosonde and radiances, forecast error statistics against a verifying analysis, and adjoint based Forecast Sensitivity to Observation Impact (FSOI) estimates. The FORMOSAT‐7/COSMIC‐2 measurement has a clear impact on stratospheric temperatures and winds in the tropics. A novel finding is that the measurements also improve the tropical tropospheric humidity fit to radiosondes, and the fit to tropospheric radiances sensitive to humidity. To date, the impact of GNSS‐RO on humidity has been difficult to demonstrate in well constrained, operational NWP systems assimilating the full suite of observations. The results are achieved with a conservative assimilation approach which extended the quality control and observation error assignments used for the previous COSMIC receivers; further, possible improvements to the assimilation strategy are noted. |
| first_indexed | 2024-12-22T21:48:48Z |
| format | Article |
| id | doaj.art-0b37d51b3baf4a478dd05b75823ff764 |
| institution | Directory Open Access Journal |
| issn | 1530-261X |
| language | English |
| last_indexed | 2024-12-22T21:48:48Z |
| publishDate | 2021-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Atmospheric Science Letters |
| spelling | doaj.art-0b37d51b3baf4a478dd05b75823ff7642022-12-21T18:11:25ZengWileyAtmospheric Science Letters1530-261X2021-03-01223n/an/a10.1002/asl.1019Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation MeasurementsBenjamin Ruston0Sean Healy1Marine Meteorology Division Naval Research Laboratory Monterey California USAEuropean Center for Medium‐Range Weather Forecasts Reading UKAbstract The FORMOSAT‐7/COSMIC‐2 GNSS‐RO mission was launched on June 25, 2019, and it has provided a large increase in the number of GNSS‐RO observations available for operational numerical weather prediction (NWP) in the latitude band between ±40°. A key aim of this mission has been to improve the GNSS‐RO measurement quality in the lower and middle troposphere. In this study, we summarize the impact of the FORMOSAT‐7/COSMIC‐2 measurements in two independent NWP systems, which are now assimilating these measurements operationally. These are the United States Navy Global Environmental Model (NAVGEM) and the European Center for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS). Both systems employ a 4‐dimensional variational system (4D‐Var), and assimilate GNSS‐RO bending angles. The experiments cover the period January to March 2020. The impact of the FORMOSAT‐7/COSMIC‐2 measurements is assessed using improvements in short‐range forecast departures to other observations such as radiosonde and radiances, forecast error statistics against a verifying analysis, and adjoint based Forecast Sensitivity to Observation Impact (FSOI) estimates. The FORMOSAT‐7/COSMIC‐2 measurement has a clear impact on stratospheric temperatures and winds in the tropics. A novel finding is that the measurements also improve the tropical tropospheric humidity fit to radiosondes, and the fit to tropospheric radiances sensitive to humidity. To date, the impact of GNSS‐RO on humidity has been difficult to demonstrate in well constrained, operational NWP systems assimilating the full suite of observations. The results are achieved with a conservative assimilation approach which extended the quality control and observation error assignments used for the previous COSMIC receivers; further, possible improvements to the assimilation strategy are noted.https://doi.org/10.1002/asl.1019Data assimilationnumerical methods and NWPremote sensingremote sensing |
| spellingShingle | Benjamin Ruston Sean Healy Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation Measurements Atmospheric Science Letters Data assimilation numerical methods and NWP remote sensing remote sensing |
| title | Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation Measurements |
| title_full | Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation Measurements |
| title_fullStr | Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation Measurements |
| title_full_unstemmed | Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation Measurements |
| title_short | Forecast Impact of FORMOSAT‐7/COSMIC‐2 GNSS Radio Occultation Measurements |
| title_sort | forecast impact of formosat 7 cosmic 2 gnss radio occultation measurements |
| topic | Data assimilation numerical methods and NWP remote sensing remote sensing |
| url | https://doi.org/10.1002/asl.1019 |
| work_keys_str_mv | AT benjaminruston forecastimpactofformosat7cosmic2gnssradiooccultationmeasurements AT seanhealy forecastimpactofformosat7cosmic2gnssradiooccultationmeasurements |