COSMIC-2 soundings impacts on a RO-based NOAA microwave satellite data quality monitoring system
Tóm tắt
The Constellation Observing System for Meteorology, Ionosphere and Climate-2/Formosa Satellite Mission 7 (COSMIC-2) Global Navigation Satellite System (GNSS) Radio Occultation (RO) constellation is the follow-on to the highly successful COSMIC-1 program. The GNSS RO atmospheric soundings have historically been used to generate Community Radiative Transfer Model simulated background (B) microwave (MW) brightness temperature data needed to monitor NOAA operational MW sounding instrument observed (O) antenna temperature (Ta) product quality. This study is motivated by the need to determine the impact of COSMIC-2 RO soundings on this critical long-term monitoring capability. This study is based on individual MW sensor O-B Ta bias (∆T
a) statistics and "double-difference" inter-sensor Ta bias (δT
a) statistics for two time periods. Time Period 1 (TP1—May 1, 2017, to September 30, 2019) exclusively uses COSMIC-1 and Korea Multi-Purpose Satellite-5 soundings, while Time Period 2 (TP2—October 1, 2019, to December 31, 2020) expands the analysis with COSMIC-2 soundings. The TP1 and TP2 ∆T
a statistics comparisons indicate COSMIC-2 data population augmentation and latitudinal distribution impact the MW sounder performance monitoring tool transition from TP1 to TP2. COSMIC-2 competently supports long-term MW individual sensor and inter-sensor product monitoring for MW radiometer channels with weighting functions that peak between 8 and 30 km. Individual sensor ∆T
a monitoring for other microwave channels that depend on COSMIC-2 data below 8 km and from 30 km to 60 has limitations, but these limitations are shown not to inhibit critical δT
a monitoring.
Tài liệu tham khảo
Anthes RA et al (2008) The COSMIC/FORMOSAT-3 mission: early results. Bull Am Met Soc 89:313–333
Bean BR, Dutton EJ 1(966) Radio meteorology. U.S. Govt. Print. Office, pp 435
Biondi R, Randel W, Ho S-P, Neubert T, Syndergaard S (2012) Thermal structure of intense convective clouds derived from GPS radio occultations. Atmos Chem Phys. https://doi.org/10.5194/acp-12-5309-2012
Biondi R, Ho S-P, Randel W, Neubert T, Syndergaard S (2013) Tropical cyclone cloud-top heights and vertical temperature structure detection using GPS radio occultation measurements. J Geophy Research 118:1–13. https://doi.org/10.1002/jgrd.50448
English SJ, Renshaw RJ, Dibben PC, Smith AJ, Rayer PJ, Poulsen C, Saunders FW, Eyre JR (2000) A comparison of the impact of TOVS and ATOVS satellite sounding data on the accuracy of numerical weather forecasts. Q J Royal Met Soc 126:2911–2931
Grody N, Zhao J, Ferraro R, Weng F, Boers R (2001) Determination of precipitable water and cloud liquid water over oceans from the NOAA 15 advanced microwave sounding unit. J Geophys Res 106(D3):2943–2953
Han Y, Weng F, Zou X, Yang H, Scott D (2016) Characterization of geolocation accuracy of Suomi NPP Advanced Technology Microwave Sounder measurements. J Geophys Res Atmos 121:4933–4950. https://doi.org/10.1002/2015JD024278
Healy S, Eyre J (2000) Retrieving temperature, water vapor and surface pressure information from refractivity-index profiles derived by radio occultation: a simulation study. Q J Royal Met Soc 126:1661–1683
Ho S-P et al (2009) Calibration of temperature in the lower stratosphere from microwave measurements using COSMIC radio occultation data: Preliminary results. Terr Atmos Ocean Sci 20:87. https://doi.org/10.3319/TAO.2007.12.06.01(F3C)
Ho S-P, Zhou X, Kuo Y-H, Hunt D, Wang J-H (2010) Global evaluation of radiosonde water vapor systematic biases using GPS radio occultation from COSMIC and ECMWF analysis. Remote Sens 2:1320–1330
Ho S-P, Kuo Y-H, Schreiner W, Zhou X (2010b) Using SI traceable global positioning system radio occultation measurements for climate monitoring, in: states of the climate in 2009. Bull Am Met Soc 91:S36–S37
Ho S-P, Yue X, Zeng Z, Ao C, Huang C-Y, Kursinski ER, Kuo Y-H (2013) Applications of COSMIC radio occultation data from the troposphere to ionosphere and potential impacts of COSMIC-2 data. Bull Am Met Soc Bull. https://doi.org/10.1175/BAMS-D-13-00035.1
Ho S-P et al (2015) Marine boundary layer heights and their longitudinal, diurnal, and inter-seasonal variability in the Southeastern pacific using COSMIC, CALIOP, and radiosonde data. J Clim 28:2856–2872. https://doi.org/10.1175/JCLI-D-14-00238.1
Ho S-P, Peng L, Voemel H (2017) Characterization of the long-term radiosonde temperature biases in the upper troposphere and lower stratosphere using COSMIC and MetOp-A/GRAS data from 2006 to 2014. Atmos Chem Phys 17:4493–4511. https://doi.org/10.5194/acp-17-4493-2017
Ho S-P, Peng L, Mears C, Anthes RA (2018) Comparison of global observations and trends of total precipitable water derived from microwave radiometers and COSMIC radio occultation from 2006 to 2013. Atmos Chem Phys 18:259–274. https://doi.org/10.5194/acp-18-259-2018
Ho S-P, Zhou X, Shao X, Zhang B, Adhikari L, Kireev S, He Y, Yoe JG, Xia-Serafino W, Lynch E (2020) Initial Assessment of the COSMIC-2/FORMOSAT-7 neutral atmosphere data quality in NESDIS/STAR using in situ and satellite data. Remote Sens 12:4099
Ho SP et al. (2021) NESDIS STAR GNSS RO Processing, Validation, and Monitoring System: Quality Assessment Results for COSMIC-2, TAO (submitted)
Huang C-Y, Teng WH, Ho S-P, Kuo YH (2013) Global variation of COSMIC precipitable water over land: comparisons with ground-based GPS measurements and NCEP reanalyses. Geophys Res Lett. https://doi.org/10.1002/grl.50885
Iacovazzi R, Lin L, Sun N, Liu Q (2020) NOAA operational microwave sounding radiometer data quality monitoring and anomaly assessment using COSMIC GNSS radio-occultation soundings. Remote Sens 12(5):828
Kireev S, Ho S-P, Zhou X (2020) The Development of COSMIC-2 Temperature, Moisture, and Pressure Retrieval Algorithm at NOAA/STAR. In: 5th International Conference on GPS Radio Occultation, Hsinchu, Taiwan (Poster @ http://w3.nspo.narl.org.tw/ICGPSRO2020/download/poster/ICGPSRO2020-presentation-AB028-T73j6waN95.pdf
Kishore P, Namboothiri SP, Jiang JH, Sivakumar V, Igarashi K (2008) Global temperature estimates in the troposphere and stratosphere: a validation study of COSMIC/FORMOSAT-3 measurements. Atmos Chem Phys Discuss 8:8327–8355
Lean JL, Meier RR, Picone JM, Sassi F, Emmert JT, Richards PG (2016) Ionospheric total electron content: spatial patterns of variability. J Geophys Res Space Physics 121:10367–10402. https://doi.org/10.1002/2016JA023210
Liu Q, Boukabara S (2014) Community radiation transfer model (CRTM) applications in supporting the Suomi national polar-orbiting partnership (SNPP) mission validation and verification. Remote Sen Environ 140:744–754
McNally AP, Derber JC, Wu W-S, Katz BB (2000) The use of TOVS level-1 radiances in the NCEP SSI analysis system. Q J Royal Met Soc 129:689–724
Mears C, Schabel M, Wentz F (2003) A reanalysis of the MSU Channel 2 tropospheric temperature record. J Climate 16:3650–3664
Mears C et al (2019) Total column water vapor, [In “States of the Climate in 2018]. Bull Am Met Soc 100(9):S24–S25. https://doi.org/10.1175/2019BAMSStateoftheClimate.1
Mears C, Ho S-P, Wang J, Huelsing H, Peng L (2020) Total column water vapor, [In “States of the Climate in 2019]. Bull Am Met Soc 101(8):S24–S25. https://doi.org/10.1175/2017,BAMSStateoftheClimate
Palmer PI, Barnett J, Eyre J, Healy S (2000) A non-linear optimal estimation inverse method for radio occultation measurements of temperature, humidity, and surface pressure. J Geophys Res 105:17513–17526
Prabhakara C, Iacovazzi R Jr, Yoo J-M, Dalu G (2000) Global warming: evidence from satellite observations. Geophys Res Let 27(21):3517–3520
Rieckh T, Anthes RA, Randel W, Ho S-P, Foelsche U (2017) Tropospheric dry layers in the tropical western Pacific: comparisons of GPS radio occultation with multiple data sets. Atmos Measure Tech 10:1093–1110. https://doi.org/10.5194/amt-10-1093-2017
Scherllin-Pirscher B, Deser C, Ho S-P, Chou C, Randel W, Kuo YH (2012) The vertical and spatial structure of ENSO in the upper troposphere and lower stratosphere from GPS radio occultation measurements. Geophys Res Lett 39(L20801):6. https://doi.org/10.1029/2012GL053071
Schröder M et al (2019) The GEWEX water vapor assessment: overview and introduction to results and recommendations. Remote Sens 11(3):251. https://doi.org/10.3390/rs11030251
Shao X, Ho S-P, Zhang B, Zou X, Kireev S, Yong C, Cao CY (2021) Comparison of COSMIC-2 radio occultation retrieval products with Vaisala RS41 and RS92 radiosonde water vapor and upper-air temperature measurements. Terr Atmos Ocean
Spencer RW, Christy JR, Braswell WD, Norris WB (2006) Estimation of tropospheric temperature trends from MSU Channels 2 and 4. J Atmos Ocean Tech 23:417–423
Teng WH, Huang CY, Ho S-P, Kuo YH, Zhou XJ (2013) Characteristics of global precipitable water in ENSO events revealed by COSMIC measurements. J Geophy Res 118:1–15. https://doi.org/10.1002/jgrd.50371
Wang W, Zou C (2014) AMSU-A-only atmospheric temperature data records from the lower troposphere to the top of the stratosphere. J Atmos Ocean Tech 31(4):808–825
Weng F, Zhao L, Ferraro R, Poe G, Li X, Grody N (2003) Advanced microwave sounding unit cloud and precipitation algorithms. Radio Sci 38:8086–8096. https://doi.org/10.1029/2002RS002679
Weng F, Zou X, Wang X, Yang S, Goldberg MD (2012) Introduction to Suomi national polar-orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications. J Geophys Res 117:D19112. https://doi.org/10.1029/2012JD018144
Weng F, Zou X, Sun N, Yang H, Tian M, Blackwell WJ, Wang X, Lin L, Anderson K (2013) Calibration of Suomi national polar-orbiting partnership advanced technology microwave sounder. J Geophys Res Atmos 118:11187–11200. https://doi.org/10.1002/jgrd.50840
Xue YH, Li J, Menzel P, Borbas E, Ho SP, Li Z (2018) Impact of sampling biases on the global trend of total precipitable water derived from the latest 10-year data of COSMIC, SSMIS and HIRS Observations. J Geophys Res Atmos 124(13):6966–6981
Yang H, Weng F, Anderson K (2016) Estimation of ATMS antenna emission from cold space observations. IEEE Trans Geosci Remote Sens 54(8):4479–4487. https://doi.org/10.1109/TGRS.2016.2542526
Yang H et al (2021) ATMS radiance data products calibration and evaluation. IEEE Trans Geosci Remote Sens. https://doi.org/10.1109/TGRS.2021.3123576
Yu X, Xie F, Ao CO (2018) Evaluating the lower-tropospheric COSMIC GPS radio occultation sounding quality over the Arctic. Atmos Meas Tech 11:2051–2066. https://doi.org/10.5194/amt-11-2051-2018
Zeng Z, Ho S-P, Sokolovskiy S (2012) The structure and evolution of Madden-Julian oscillation from FORMOSAT-3/COSMIC radio occultation data. J Geophy Res 117:D22108. https://doi.org/10.1029/2012JD017685
Zou X, Vandenberghe F, Wang B, Gorbunov ME, Kuo Y-H, Sokolovskiy S, Chang JC, Sela JG, Anthes RA (1999) A ray-tracing operator and its adjoint for the use of GPS/MET refraction angle measurements. J Geophys Res 104(D18):22301–22318
Zou C-Z, Goldberg MD, Cheng Z, Grody NC, Sullivan JT, Cao C, Tarpley D (2006) Recalibration of microwave sounding unit for climate studies using simultaneous nadir overpasses. J Geophys Res 111:D19114. https://doi.org/10.1029/2005JD006798
Zou C-Z, Goldberg MD, Hao X (2018) New generation of U.S. satellite microwave sounder achieves high radiometric stability performance for reliable climate change detection. Sci Adv 4(10):eaau0049. https://doi.org/10.1126/sciadv.aau0049